Description: <p>In today's digital age, citizen data stands at the forefront of efforts to bridge data gaps, promote inclusivity, and strengthen accountability worldwide. Defined as data co-created with or initiated by citizens, these invaluable insights offer a unique perspective on addressing the most pressing challenges facing our communities.</p><p>At this event, we will delve into the crucial role of citizen data in advancing the UN 2.0 vision, where innovation, cultural shifts, and enhanced skills converge to turbocharge support for people and planet. Moreover, we will showcase the groundbreaking work of the UN Collaborative on Citizen Data, highlighting the recently unveiled "Copenhagen Framework on Citizen Data" as a blueprint for action.</p><p>Join us as we explore how UN agencies and country offices can champion citizen data initiatives, amplifying the voices of marginalized communities and driving meaningful progress towards the Sustainable Development Goals.</p><p>Registration</p><br><strong>Programme:</strong><ul><li>Opening: Yongyi Min</li><li>Presentation of Collaborative on Citizen Data and the Copenhagen Framework: Haoyi Chen</li><li>UN country team (Bangladesh): Halima Neyamat</li><li>UN Women: Jessamyn Encarnacion</li><li>ODW: Francesca Perucci</li><li>International Disability Alliance: Jose Maria Viera</li></ul>
Description: <p>To prepare for the discussion on the Copenhagen Framework on Citizen Data at the upcoming 55th session of the United Nations Statistical Commission, this side event will provide an opportunity for the Collaborative to present the draft Framework and the roadmap for its implementation; and solicit input from national statistical offices (NSOs), civil society organisations (CSOs) and a broader range of stakeholders. More specifically, the event will</p><ul><li>Foster an exchange and solicit feedback on the Copenhagen Framework on Citizen Data and the roadmap for its implementation;</li><li>Share experience of the production and use of citizen data for policy and impact;</li><li>Expand the outreach of the Framework and gather interest from a variety of stakeholders on leveraging the power of citizen data.</li></ul> Registration link: https://events.teams.microsoft.com/event/630213a9-0844-49bb-8dd5-4a943dfd5294@0f9e35db-544f-4f60-bdcc-5ea416e6dc70</p>
Source: Eurostat (Data extracted on: 24 Jan 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course are: Introducing the participants to the concept of Big Data, the associated challenges and opportunities, and the statistical methods and IT tools needed to make the use of Big Data effective in official statistics. Overviewing statistical methods and IT tools available for Big Data usage in Official Statistics
Target Audience: Official statisticians (including managers) to be involved in big data activities and having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in big data activities, need basic knowledge on the use of big data in official statistics.
Description: The webinar is an overview of the report on the 10-years of use of Big Data and Data Science for Official Statistics. The survey details will be described along with results and recommendation based on the survey. The full report of the 10-year review has been released as a background document to the Statistical Commission and is available here.
Description: Concept note Over the past decade, countries have made good progress towards meeting the Sustainable Development Goals (SDGs) but the COVID-19 pandemic has severely disrupted these efforts and even led to reversal of gains in several area1. To that end, there is a critical need for timely, reliable, and disaggregated data, estimates and forecasts, and it is of paramount importance that all stakeholders unite to work on this common agenda. Citizen data—that is data produced by people or organizations to directly monitor, demand, or drive change on issues that affect them2 —, has the potential to meet this need. In particular, citizen data is able to fill crucial data gaps for vulnerable and marginalized groups, integrating their situations and conditions into statistical production processes. Citizen data also progresses fundamental values namely fairness, openness, inclusiveness, non-discrimination, accountability and transparency in statistics. Data collection process for citizen data can be initiated by different stakeholders, including national statistical offices (NSOs), civil society organizations (CSOs), community leaders, national human rights institutions (NHRIs) and other state institutions, scientists, or individual citizens. Moreover, citizen data can be integrated into different stages of the data value chain. For instance, CSOs and citizens are often at the forefront of data collection generally focusing on vulnerable and marginalized population groups and ensuring that their voices are heard. CSOs can also engage in collecting citizen data for SDG monitoring and Voluntary National Reviews (VNRs) led by NSOs. Finally, NSOs, relevant government agencies, and UN entities can coordinate and facilitate validation processes for citizen data in close collaboration with CSOs and community leaders. Noting the potential contributions of citizen data in inclusive statistics production, there is a critical need for a comprehensive and inclusive guide on citizen data. To that end, United Nations Statistics Division (UNSD) organized an expert group meeting on citizens’ contribution to data in September 2023 with the specific objective of deriving insights from experts for the development of a Conceptual Framework on Citizens’ Contribution to Data. More specifically, the meeting allowed participants to review and discuss a draft Conceptual Framework on Citizens’ Contribution to Data, discuss ways and steps to operationalize the Conceptual Framework, and identify solutions to key challenges in engaging with citizens in data processes such as data quality, building trust and keeping engagement sustainable. 1Ms. Amina J. Mohammed, Deputy-Secretary General, United Nations, “High-Level Political Forum 2021,” 2021, https://hlpf.un.org/2021/programme/closing-hlpf 2Global Partnership for Sustainable Development Data, “World Data Forum: Citizen-generated data for inclusive data ecosystems,” 2023, https://www.data4sdgs.org/world-data-forum-citizen-generated-data-inclusive-data-ecosystems ESCAP also organized a side event at the expert group meeting with a specific focus on the use of citizen data in health and well-being statistics. At the side event, WHO and the International Institute for Applied Systems Analysis (IIASA) presented their latest publication on key processes and considerations for the use of citizen science and data for the production of health and well-being statistics. Representatives from Philippine Statistics Authority and Kenya National Bureau of Statistics also shared their experiences including the processes and outcomes of using citizen data in producing health and wealth-being statistics, challenges faced, and lessons learned. Prior to the expert group meeting, ESCAP and UNSD also co-organized a VNR Lab on the use of citizen-generated data to leave no one behind at the High-Level Political Forum in July 2023. The Lab focused mainly on initiatives designed to harness the power of citizen data to improve VNR and SDG reporting processes and facilitated insightful experience sharing by countries in Asia and the Pacific and beyond. These events offer up-to-date information on the progression of citizen data as a viable non-traditional data source in official statistics and SDG reporting. Nonetheless, they were all invite-only events which limited the sizes of audience. Therefore, ESCAP and UNSD organized this Stats Café session to: Present on insights and outcomes of discussions occurred throughout the three events; Share country experience with using citizen data in official statistics and/or SDG reporting; Share updates on the development of the Conceptual Framework on Citizens’ Contribution to Data and way forward for citizen data. , Stats Café Home: Upcoming events Concluded events
Description: The UN Expert Group on National Quality Assurance Frameworks (EG-NQAF) and its Subgroup on administrative and other data sources are hosting a global seminar on assuring the quality when administrative and other data sources are used to produce official statistics. The seminar will present insights on how the use of such data sources poses challenges and how quality aspects of the source data and the source itself impact the final statistical output. Expert speakers from four countries will share their experiences, exploring the promise and complexities of utilizing administrative and other data sources to produce official statistics. Registration: here Date & Time: Tuesday, 14 November at 8:00 – 9:15 AM EDT
Source: Eurostat (Data extracted on: 30 Nov 2022 )
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Organizer(s): Eurostat EFTA FSO Switzerland
Description: The objective of the course is to introduce participants to some advanced techniques of non-response treatment, variance estimation, calibration and sample coordination. Theoretical concepts and findings will be illustrated by examples and practical exercises. The course starts with an introduction to the R software, which will allow participants to better understand practical applications of presented survey techniques and their successful implementation in practice.
Target Audience: Junior or senior staff of methodology divisions using sample survey techniques in the production of statistics or staff with comparable knowledge.
Organizer(s): UNSD Global Partnership for Sustainable Development Data INE Uruguay UNCEBD UNMGCY AWS UN Big Data Regional Hub in Brazil UN Big Data Regional Hub in China UN Big Data Regional Hub in Rwanda UN Big Data Regional Hub in the United Arab Emirates ECLAC Statistics Indonesia Statistics Canada ONS United Kingdom Oblivious OpenMined World Food Forum
Description: Leverage technology and your expertise to develop innovative solutions for a more sustainable and equitable future. Join us on this journey of innovation, exploration, and problem-solving as we harness the power of data to create a more sustainable and resilient world. Datathon participants will develop innovative data-driven applications, tools or statistical models combining geospatial data with other data sources to help advance the implementation of the Sustainable Development Goals. Register today!
Description: Leading up to the UN Datathon 2023 UNSD in cooperation with the UN Committee of Experts on Big Data and Data Science (UNCEBD) and with support of the UN Committee of Experts on Geospatial Information Management (UN-GGIM) organized webinar exploring the crucial synergy between geospatial data and statistics in driving progress towards the Sustainable Development Goals (SDGs) within the realm of big data.Participants were invited to discover why integration matters, how to unlock creative data visualization techniques, and how to gain a deeper understanding of utilizing geospatial insights for the SDGs. The webinar, which was attended by approximately 480 participants, had a lineup of three excellent speakers in the field of integration of geospatial information and statistics. The first speaker was Claudio Stenner, co-chair of the United Nations Expert Group on the Integration of Statistical and Geospatial Information. He is a geographer with experience in regionalization, urban geography and geoprocessing and works at the in Brazilian Institute of Geography and Statistics (IBGE) where he is in charge of Brazil's 2022 Demographic Census on issues related to geography and its integration with statistics. In his talk he demonstrated the importance and potential advantages for society in the integration of statistical and geospatial information and introduced the attendees to the Global Statistical Geospatial Framework (GSGF) which allows this integration. The second speaker was Ken Field, who after 20 years of academic career, now talks and writes about cartography, teaches, and makes maps at Esri in California. He teaches a Massive Open Online Course on Cartography which had so far over 200,000 participants and is the author of two award-winning books, Cartography (2018) and Thematic Mapping (2021). In his talk Ken said that every map is a product of its maker, its reader, and multiple competing contexts. He argued that maps are rarely right or wrong but, instead, offer different versions of the truth. His talk explored how the design of thematic maps mediates the message using a range of examples based on Covid-19 and election maps. The ideas and techniques explored during his talk provide a strong foundation for use on any other empirical data, big or small, and including the SDGs. The third speaker was Britta Ricker who is a Digital Geographer and faculty member within the Copernicus Institute of Sustainable Development at Utrecht University in the Netherlands. Through her teaching and research, she focuses on the use of open data, open software, and open science for cartographic production. Her work bridges qualitative and quantitative research by identifying practical solutions for spatial data collection, management and effective geovisualization of the UN Sustainable Development Goals at the local and global level. In her talk she shared examples from her open access book published together with the Sustainable World” as well as some ideas for future SDG spatial data solutions. The webinar is part of a series organized by UNSD to prepare the participants of the upcoming UN Datathon 2023 for this big data and data science competition. The UN Datathon will take place in November world-wide and at 8 in-person locations with the main venue in Montevideo, Uruguay.
Description: The UN Datathon (3-6 November) welcomes participants from around the globe of all ages and backgrounds, as long as you have a basic level of data science experience. If you are passionate about data-driven solutions at local and global levels, and eager to contribute to the implementation of the UN Sustainable Development Goals, this event is for you!
Description: During the webinar we will announce the survey on the 10-year review of the UNCEBD. The objective of the webinar is to raise awareness for the survey and generate interest by statistical agencies to complete the survey. We would like to take this opportunity to evaluate, if NSOs and other statistical agencies are familiar with the work of the UN Committee of Experts on Big Data and Data Science for Official Statistics (UNCEBD, previously also known as the Global Working Group on Big Data for Official Statistics).
Description: For this Joint FAO and Global Network Webinar we had with us Carola Fabi, Marco Scarnò and Craig Steforn Matadeen from FAO who presented on Essence, an integrated framework for documents retrieving and analysis developed by FAO. “Essence” stands for Expert Search Semantic ENriChmEnt and is a web tool developed by the FAO Data Lab that automatizes searching for scientific articles and identifies the most relevant ones through the use of artificial intelligence (AI). The AI method learns and extends users’ previous selections by recognizing patterns in their texts. Essence offers a semantic search engine and interactive filters to navigate the stored data, plus data visualization functions or procedures to extract statistical values from unstructured texts.
Description: Click here to go to the event The African Centre of Statistics (ACS) of the United Nations Economic Commission for Africa (UNECA) is launching the first of StatsTalk-Africa webinar series. The series will provide a space for dialogues about data, statistics, and innovative tools with data experts and users within ECA, Africa and rest of the world. The first of the monthly webinar series will focus on: Demystifying Big Data and Official Statistics in Africa and will take place on Friday, 28th April 2023 from 12:30 to 13:30 EAT via Microsoft Teams. The webinar will explain the link between Big Data and Official Statistics and how they can be used to inform better planning, policymaking towards achievement of Agenda 2030 and Agenda 2063, the Africa We Want. The event is expected to increase data literacy, understanding of the big data situation, needs and uses in Africa; and share innovative tools and methods for data production and management. This webinar specifically aims to: Serve as a knowledge-sharing and exchange platform. Demystify and promote greater understanding of key statistical concepts and alternative data sources that could be harnessed in the African context. Register in advance for this meeting here. Microsoft Teams meeting Join on your computer, mobile app or room device. Click here to join the meeting Meeting ID: 395 536 119 290 Passcode: Yuv6wN Download Teams | Join on the web Join with a video conferencing device. unitevc@m.webex.com Video Conference ID: 124 638 313 6 Alternate VTC instructions
Description: Background In 2022, ESCAP developed a pilot project specifically targeted at supporting NSOs in Asia and the Pacific to address this complexity. The project aims to work with NSOs in the region to pilot the use of big data for producing a sample of the 46 environment-gender indicators. Cambodia and Mongolia submitted their expressions of interest in participating in the pilot to produce one indicator per country. For Cambodia, the indicator is the proportion of population with access to electricity by sex, while Mongolia focuses on measuring the proportion of population in Ulaanbaatar living in Gers by sex. More specifically, the project team utilized Google Earth Engine to derive nighttime light data for all communes in Cambodia and combined the results with average household size and female ratio to estimate the indicator. In the case of Mongolia, the team designed an object-based image analysis model on QGIS using the Orfeo Toolbox and a random forest classifier to detect Gers. In both cases, the team conducted sensitivity analyses and compared the results against indicators produced from censuses and/or surveys. The two pilots produced promising results and lessons learned. The project team recently conducted an Expert Group Meeting to present findings, lessons learned and challenges from implementing the pilots to experts in the field and seek their feedback on how the models can be improved. Insights from the meeting has been integrated into the guidance documents which record processes throughout the entire pilot and recommend next steps for the two NSOs to improve their usage of big data in official statistics production. This Stats Cafe session , Stats Café Home: Upcoming events Concluded events in 2022 2021 events 2020 events
Description: Traditional surveys are not well-equipped to measure certain concepts of interest such as expenditures, time use or travel behavior due to high burden placed on participants. Facts or behaviors that are difficult to measure through self-report can be measured using new technologies: smartphone apps, sensors, and wearables. For example, accelerometers in smartphones and fitness bracelets can objectively measure physical activity, screen time apps can measure (social) media use. Another possibility is to augment surveys with administrative data or data from digital platforms such as Google, Youtube, Instagram that participants can provide to researchers through data donation, or consent to data linkage. However, to ensure representation, participants have to be willing and able to use their devices to perform such tasks. If participants differ from nonparticipants in key outcomes, research results can be biased. In this webinar, I will present the results of several randomized experiments on the mechanisms of willingness and consent to collect data using smartphone sensors, apps, and wearables in general population surveys, and the extent of nonparticipation bias assessed by linkage of survey data to sensor and administrative data. I will further focus on how these mechanisms translate to data donation of digital trace data, what opportunities and challenges such novel data collection methods hold for the social sciences and official statistics, and outline future research agenda.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): European Court of Auditors
Description: This event will explore the future of official statistics in achieving independence and accountability in the age of big data. High-quality official statistics are a critical part of evidence-based decision making by governments, businesses, researchers and citizens. They can also promote transparency and accountability. Following the publication of our special report on the quality of European statistics in November 2022, the European Court of Auditors (ECA) will hold an online conference on Tuesday 28 March 2023 to discuss the future of official statistics from the perspective of independence and accountability. We will also discuss how the statistical landscape will be reshaped by using new data sources such as big data that could lead to a paradigm shift in data collection and analysis. The conference will feature two panel discussions. Following the keynote address by Professor Enrico Giovannini, former chair of the European Statistical Governance Advisory Board (ESGAB), the first panel will focus on the future of governance, independence and accountability in official statistics. The second panel will move towards the future of statistical product development following the keynote address by Dr Sallie Ann Keller from the US Census Bureau. ECA reporting Member for the special report on European statistics, Ildikó Gáll-Pelcz, will deliver the opening address, which will be followed by a short presentation by Athanasios Koustoulidis, the head of task for the audit. In addition to the two keynote speakers, six senior executives from international organisations (Eurostat and the IMF) and national statistical offices (Sweden and Poland) will participate in the two panels.
Description: The Expert Group Meeting Big Data in Official Statistics in Asia and the Pacific will be held on 23 March 2023, 14:00–16:00 hours (Bangkok time). Register here: https://forms.office.com/e/3ejwKuu0CE Join the meeting via Teams Concept note and Agenda Aims of the workshop The purpose of this Expert Group Meeting is to present findings, lessons learned and challenges from implementing the pilots to experts in the field and seek their feedback on how the models can be improved. The project team and participants can learn from the experiences and comments of experts in the field of earth observation data and nighttime light data for statistics production. Insights from the meeting will be collated and integrated into the guidance document which records processes throughout the entire pilot and recommends next steps for the two NSOs to improve their usage of big data in official statistics production. , HOME - Project: measure the nexus between environment and gender Project countries: Cambodia Mongolia Resources Regional Events
Description: The United Nations Statistics Division (UNSD) will begin data collection for Physical Energy Flow Accounts (PEFA) and Air Emission Accounts (AEA) for the first time in 2023. This webinar, organized by UNSD and OECD, will review the scope of the questionnaires, how to fill in the questionnaires, the timeline for data collection and more. The webinar will take place on 2 March at 9:30 AM, New York time. The webinar will also be recorded and made available online for those who are not able to join. This data collection is meant for countries which already compile PEFA or AEA accounts, and UNSD’s data collection will complement existing PEFA and AEA data collection efforts by Eurostat for European Union (EU) countries and the soon to be launched data collection of the Organization for Economic Cooperation and Development (OECD) for non-EU OECD countries. The questionnaires, developed under the auspices of the UNCEEA, are fully consistent with the SEEA and were developed on the basis of existing Eurostat PEFA and AEA questionnaires but tailored to fit the circumstances of countries with different levels of data availability. In particular, each questionnaire contains three different templates which correspond to different levels of data disaggregation. The templates were tested with a number of different countries to ensure that they are fit for purpose.
Description: Within the framework of the Programme of Action for 2021-2025 set under the OIC-StatCom Strategic Vision for 2030 and its Webinar Series on Statistical Experience Sharing, SESRIC will organise a Webinar on ‘Transforming Administrative Registers for Statistical Data Production’ on 14 February 2023, in collaboration with the United Nations Economic Commission for Europe (UNECE) and the United Nations Statistics Division (UNSD) with the participation of official statisticians working in National Statistical Offices (NSOs) of the OIC member countries. The main objective of the webinar is to provide a platform to exchange knowledge on how to develop and deploy the required technology and the mechanisms to transform the administrative registers for statistical data production in national statistical systems of OIC member countries including discussions about the relevant initiatives, challenges faced and lessons learnt by all stakeholders. The Webinar will cover: Advantages of using administrative sources Frameworks for access to administrative sources Collaborative on the Use of Administrative Data for Statistics Assessment of the quality of administrative sources for use in population and housing censuses Good practices from the OIC region Document: Concept Note and Work Programme (English) Using Administrative and Secondary Sources for Official Statistics (English) Guidelines for assessing the quality of administrative sources for use in censuses (English)
Description: The United Nations Committee of Experts on Big Data and Data Science for Official Statistics (UNCEBD), Major Group for Children and Youth (MGCY) and Statistics Indonesia (BPS) hosted the "2022 UN Big Data Hackathon" in November 2022. It is jointly organized by the United Nations Statistics Division (UNSD), Global Platform Regional Hubs (Rwanda, UAE, Brazil & China), UN Global Pulse, Asian Development Bank (ADB), Islamic Development Bank (IsDB), UK ONS Data Science Campus, Statistics Canada, and United Nations Conference on Trade and Development (UNCTAD), in consultation with the members of the Task Teams of UN Committee of Experts on Big Data and Data Science. Join us for the Closing Ceremony where we will be announcing and celebrating the winners of the Hackathon.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course are: * Introducing the participants to the concept of Big Data, the associated challenges and opportunities, and the statistical methods and IT tools needed to make the use of Big Data effective in official statistics. * Overviewing statistical methods and IT tools available for Big Data usage in Official Statistics.
Target Audience: Official statisticians (including managers) to be involved in big data activities and having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in big data activities, need basic knowledge on the use of big data in official statistics.
Organizer(s): UNSD UN Foundation Global Partnership for Sustainable Development Data Data2x
Description: In order to foster learning for the 2023 VNR countries, the United Nations Department of Economic and Social Affairs (UNDESA), UN Statistics Division, UN Foundation, Global Partnership for Sustainable Development Data and Data2X will host a virtual peer exchange on the 2nd of February 2023- 7-9am EST/7-9pm ICT. This exchange will provide a space for countries to learn from one another and to identify best practices in developing their VNRs.
Description: While the BigData-native statistical community is growing larger, sampling statisticians seem to grow divided between enthusiastic and worried. Is BigData also a big step ahead to extract trustful information and actual knowledge from data? Is BigData underplaying sampling theory? Supplanting it as a low-cost futuristic option? In this webinar I shall try and decipher the multifaceted relationship connecting BigData and Sampling methodology, starting with the blurry definition of BigData, discussing the non-probabilistic data generating mechanism, passing through different kind of data, of application contexts and goals, to end with some very personal considerations and views.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Concept National Statistics Offices (NSOs) are facing ever-growing demands for timely and quality official data and statistics due to rapid technological developments and COVID-19. To meet these demands, NSOs are exploring other non-traditional sources of data, but at the same time, they need to maintain data quality, ethics, and privacy protection standards that align with the UN Fundamental Principles of Official Statistics. In pursuing this goal, they face several new challenges including building partnerships with private data holders, investing in new infrastructures and human resources, and updating data governance arrangements. The UN Statistical Commission recognized the needs to address these challenges and established the UN Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD) at its 45th session to facilitate coordinated efforts and explore innovative solutions. UN-CEBD has eight Tasks Teams including the Task Team on Big Data which is responsible for investigating the benefits and challenges of using big data for monitoring and reporting on SDGs. UN-CEBD arranges annual International Conferences on Big Data and Data Science for Official Statistics and the latest Conference was held in Yogyakarta from 7th to 11th November 2022 with the theme of Global Challenges and the Importance of Relevant and Timely Data. Workshops on Earth Observation Data, AIS, Cell Phone Data, Data Scanner, Machine-Learning and Privacy-Preserving Techniques and UN Big Data and UN PET Lab hackathons also accompanied the main Conference. The Conference generated insightful discussions, and this ESCAP Stats Café aimed to share the key takeaways and ways forward with relevant stakeholders in Asia and the Pacific region. The session started with opening remarks from Ms Rachael Beaven—Director of Statistics Division, ESCAP—and Mr Ronald Jansen—Assistant Director of UN Statistics Division, DESA, UNSD. Following the showcase, a video highlights activities from the Conference. Speakers from NSOs and UNFCCC who attended the Conference and UN Big Data Hackathon also shared their experiences, lessons learned, and inputs on ways forward. Lastly, the ESCAP’s big data guide on "Using big data for official statistics: Key considerations when using mobile phone data" was disseminated. , Stats Café Home: Upcoming events Concluded events
Description: The United Nations Privacy-Enhancing Technologies Lab, known as the PET Lab, will be running a third hackathon stream for the first time this year. The PET stream will take the form of a typical data science competition, such as those on the Kaggle or DrivenData platforms, but with one special new characteristic: participants will interact with training data only via privacy-enhancing technologies. For more information, check the UN PET Lab Hackathon page.
Description: The first training aimed to provide an introduction in using big data in official statistics. It is a part of the training series under the 'Using Big Data to Measure the Nexus between Environment and Gender in Asia and the Pacific" project to support the beneficiary countries to utilize big data for piloting the production of a sample of environment-gender indicators to assist the countries in improving the availability, inclusiveness, and sustainability of quality data and official statistics. , HOME - Project: measure the nexus between environment and gender Project countries: Cambodia Mongolia Resources Regional Events
Description: The High Level Panel of Experts on Food Security and Nutrition launched its 17th report "Data collection and analysis tools for food security and nutrition" on Friday 16 September 2022 in FAO HQ, in Rome, Italy....
Description: صمم نظام معالجة التعدادات والمسوح (Census and Survey Processing System (CSPro)) من قبل الأمم المتحدة كأداة تساهم في جمع بيانات التعدادات والمسوح إلكترونياً. وطورت هذه الأداة لتواكب التطورات في مجال جمع البيانات في الدوائر الإحصائية الرسمية، وبقيت هذه الأداة مطبقة بشكل واسع في جمع البيانات الإحصائية لفاعليتها وسهولة استخدامها، كذلفك بسبب إمكانية تطبيق معايير قواعد تدقيق جمع البيانات من خلال البرمجية. ويعتمد استخدام البرمجية على توفير أدوات إلكترونية سهلة المنال، وتتضمن جهاز حاسوب لتصميم الاستمارة إلكترونية باستخدام البرمجية، وأجهزة تابلت يمكن من تحميل الاستمارة التي تم تصميمها لأغراض جمع البيانات ميدانيا، وإمكانية ربط أجهزة التابلت بالإنترنت وذلك من أجل تناقل البيانات إلكترونياً مع السيرفرات أو تجميع البيانات من خلال الكلاود إلكترونياً على المواقع الإلكترونية الخاصة بالشركات المؤجرة لهذه المواقع أو الاستخدام المجاني في بعض الشركات الأخرى. الاهداف: تهدف الورشة التدريبية إلى: * التعريف بالحزمة البرمجية CSPro. * إدخال البيانات في برمجية CSPrp. * التعامل مع قاموس البيانات في البرمجية. * تصميم برنامج الإدخال * استرجاع البيانات والتعامل معها * تقديم تطبيقات على البرمجية
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of the courses is to enhance the theoretical and practical knowledge related to the treatment of unit non-response and item non-response. In particular, participants will gain knowledge on weighting techniques in order to deal with unit non-response and imputation techniques in order to deal with item non-response. For unit-nonresponse, participants will also learn about up to date monitoring of data collection and application of adaptive survey designs.
Target Audience: All NSIs staff dealing with data collection facing non-response, either unit non-response where entire units intended to be collected are missing or item non-response where some items of otherwise responding units are missing.
Organizer(s): SESRIC Economic Cooperation Organization DOSM Malaysia
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Big Data Applications on Price Intelligence’ in collaboration with the Economic Cooperation Organization (ECO) for the benefit of National Statistical Offices (NSOs) of OIC countries on 14-16 June 2022. Ms. Maslina Samsudin, Deputy Director; Ms. Mazliana Mustapa, Principal Assistant Director; Mr. Wan Ahmad Ridhuan Wan Jaafar, Senior Assistant Director; and Ms. Noradilah Adnan, Assistant Director at the Department of Statistics Malaysia (DOSM), will conduct the course and cover the following topics: Overview on Big Data Compilation of Consumer Price Index (CPI) in Malaysia Price Intelligence Module in Price Intelligence Data Acquisition (Data Crawling) Data Management including Classification and Data Generator Data Visualisation including Demo on Price Intelligence Visualisation using Tableau The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: The World Development Report 2021 (WDR) argues that private intent data (also called privately held data) are an alluring candidate to overcome public sector data gaps and offer new perspectives on development problems. According to the WDR, privately held data is in fact “increasingly large in scale, “always on,” zoomed in, and, at times, less biased”. If the value for such data for the public sector is nowadays undisputed, methods and approaches for establishing data pipelines between private and public stakeholders, including in particular National Statistical Offices (NSOs), still vary considerably and there are different routes which stakeholders and NSOs can choose from. One of the most recent approaches emerging across different countries consists in the establishment of public sector data access rights via legislative measures, which can take the form of sectoral (i.e. on transport, energy, finance) or non-sectoral regulations and/or of the revision of Statistical Acts. In this context, the recently published European Data Act constitutes one of the first large-scale and non-sectoral attempts to provide the public sector with a right to access privately held data in particular circumstances. This text seeks to draw a balance between the public sector interest to dispose of private data which might be needed for policy making purposes and private sector interest to protect their data as business assets. It includes specific provisions concerning further data sharing between public authorities and NSOs, thus establishing new avenues for the statistical community to access privately held data. In light of these new developments, this webinar explores the possible implications of the European rules for National Statistical Offices around the world. While most countries are not planning to update their statistical acts or adopt data access rules soon, the Data Act might still affect public and private partners’ strategies and approaches for collaboration and define new incentives or barriers for data sharing across different countries. This webinar, part of the UN World Data Forum webinar series, will bring together experts to: What are the lessons learnt from the European experience in establishing data access rights for the public sector which can be relevant for NSOs? What will be the implications (if any) of the Data Act on the data sharing experiences of NSOs from other countries? How can National Statistical Offices benefit from the promulgation of overarching rules?
Description: Longitudinal or panel surveys are effective tools for measuring individual level changes in the outcome variables and their correlates. One drawback of these studies is dropout or non-response, potentially leading to biased results. One potential reason for dropout is the burden placed on subjects for repeatedly responding to long questionnaires. Advancements in survey administration methodology and multiple imputation software make it possible for planned missing data designs to be implemented for improving the data quality through a reduction in survey length. Many papers have discussed implementing a planned missing data study using a split questionnaire design in the cross-sectional setting, but development of these designs in a longitudinal study has been fairly limited. We propose several methods for implementing split questionnaire designs in the longitudinal setting. Using both simulations and data from a longitudinal study, we compare the performance of these methods. The results suggest that the optimal design depends on both the data structure and estimate of interest. These factors should be taken into account when designing a longitudinal study with planned missing data.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Learn the basics of CAPI data collection and management, develop your own questionnaires and apply these skills to a wide variety of surveys. The Asian Development Bank in partnership with FAO’s Regional Office in Asia and the Pacific offer two free online courses on computer assisted personal interviewing (CAPI). Registration is now open and enables access to the six-week basic courses beginning 25 April on either Survey Solutions or CSPro (or both), as well as a new course starting 23 May on Advanced CAPI using Survey Solutions. LEARNING OBJECTIVES The basic course will introduce learners to two free CAPI platforms being used by official data collection agencies: (i) CSPro Android developed by the US Census Bureau and (ii) Survey Solutions designed by the World Bank. Through interactive modules, learners will not only pick up the basics of CAPI data collection, management, but will also be able to develop their own questionnaires and apply these skills to a wide variety of surveys. The new advanced course, also developed in partnership between ADB and FAO, will dig into CAPI using Survey Solutions. FORMAT The courses are free and learners can learn at their own pace and during their own preferred time. The training enables learners to use prevalent open software – CSPro or Survey Solutions - to digitize questionnaires and implement data collection on devices such as tablets, mobile phones and computers. This fourth edition includes subtitles in Spanish, Thai and Khmer (Survey Solutions). HOW TO REGISTER We encourage staff interested in enhancing their skills in CAPI to register online by 29 April 2022: Online Training Course on CAPI using CSPro and Survey Solutions (25 April 2022 to 17 June 2022): https://forms.office.com/r/Wyzy7S00VZ Online Training Course on Advanced CAPI using Survey Solutions (23 May 2022 to 1 July 2022): https://forms.office.com/r/HYUvHu72fG
Description: Big data is increasingly making in-roads in the compilation of official statistics. Not only does it ensure timely availability of statistics but is effective in terms of costs of statistics production. ESCAP developed a big data strategy to ably support its member states innovate statistical production systems. Most of the big data can be collected from administrative sources or computer databases where it is continuously generated. Pioneers of big data have often been private sector enterprises that have adopted various technologies such as machine learning to predict statistical outcomes to meet their business needs. While big data has foot in the private sector, official statistical agencies have begun to adopt it in their operations. Statistical offices have realized the need to remain relevant as well as remain leaders in the production of statistics. Similarly, they are beginning to realise that despite lack of structure and standards, big data complements existing statistical products and offers users another set of statistical information to meet their everyday needs. Over time, users of statistics have emphasized the need for timely statistics. Timeliness of statistics remains a critical aspect of data quality. While traditional statistics are reputed for strong adherence to standards, their timeliness has often been in question. Big data lacks structure but its timeliness, gives statistical agencies a critical tradeoff between timeliness and relevance aspects of data quality. It also gives statistical agencies a good foundation to adopt innovation in terms of how data is collected, processed and its ability to address the ever-changing needs of technology savvy users. Price statistics are one area of official statistics that has increasingly adopted the use of big data in its production amongst some member states of ESCAP region1. Price statistics are often collected through price surveys and indices compiled based on household/retail surveys that are often infrequent or outdated. The increased digitalization of retail business offers an alternative to household surveys and if properly done can enhance the accuracy of price statistics. In view of these developments, ESCAP under the umbrella of the steering group of the regional programme for the improvement of economic statistics in Asia and the Pacific, organised an online seminar on the use of big data in price statistics on 21 April 2022. This seminar was organised as part of implementing the ESCAP big data strategy and targets economic statisticians involved in the compilation and use of price statistics in the Asia-Pacific region. The seminar exchanged and discussed examples of big data use for price statistics production. Experts from the World Bank, Statistical Centre of Iran, and Statistics New Zealand made presentations during the seminar. 1https://www.unescap.org/sites/default/d8files/knowledge-products/Stats_Brief_Issue28_Big_data_for_economic_statistics_Mar2021.pdf
Description: The Data For Now initiative aims to build capacity of national statistical systems to produce better and more timely data to inform policies and monitor progress towards achieving the SDGs and measuring the impact of COVID-19, prioritizing the goals identified by the countries, by leveraging data innovations and better integration of geospatial and statistical operations. In doing so, it follows Data For Now Guiding Principle, where priorities are identified and set by countries which are then guided by various data principles, work approach principles and outcome-oriented principles. In this context, the Data For Now initiative hosted a series of inspiration workshops to expand support to countries through projects funded by Norway, with other donors joining soon. The workshops provided an overview of the initiative, and showcased examples of how some countries are working on some of the core ideas of the initiative, such as prioritization based on country's needs, use of innovative data sources, methods and tools and partnerships, and improvement of the IT infrastructure to facilitate integration of innovation approaches. This third and final in the series of inspiration workshops aims to: * Highlight the importance of IT architecture to support innovative data production using existing and innovative sources and methods; * Identify and classify different ways data flows in the system before final statistics are produced; * Highlight some data infrastructure architectures based on different data flow using sample tools in different contexts and countries; * Understand and identify diverse set of tools and technologies available in creating/updating data infrastructure in various stages of its architecture; * Share country perspective on implementation (including internal capacity building for sustainability) and legal frameworks/policies that support/restricts collaboration for innovative data source and technologies.
Description: The Data For Now initiative aims to build capacity of national statistical systems to produce better and more timely data to inform policies and monitor progress towards achieving the SDGs and measuring the impact of COVID-19, prioritizing the goals identified by the countries, by leveraging data innovations and better integration of geospatial and statistical operations. In doing so, the initiative is guided by the Data For Now Guiding Principle, including that of taking a holistic perspective, considering the whole data value chain, and assessing a wide range of traditional and non-traditional sources, methods and technologies are assessed to establish criteria and standards for recommended solutions. Equally important is the focus on production-ready solutions, as well as knowledge sharing. In this context, the Data For Now initiative hosted a series of inspiration workshops to expand support to countries through projects funded by Norway, with other donors joining soon. The workshops provided an overview of the initiative, and showcased examples of how some countries are working on some of the core ideas of the initiative, such as prioritization based on country's needs, use of innovative data sources, methods and tools and partnerships, and improvement of the IT infrastructure to facilitate integration of innovation approaches. This second workshop will focus on innovative data, methods and tools and will aim to: * Highlight the potential of innovative approaches to address priority data needs relating to the SDGs; * Increase awareness of some of the different non-traditional sources, methods and tools that have been used for SDG monitoring; * Share concrete examples of how such innovative have been used provide new insights and improve decision making at the national level; * Share country experiences on the challenges and lessons learned from adopting these innovative approaches.
Description: During this Global Network Webinar, Prof. Qunli Han, a distinguished professor of the International Research Center of Big Data for Sustainable Development Goals (CBAS), gave a presentation on harnessing big data and geospatial information to support the monitoring of the SDGs. The assistant director of the United Nations Statistics Division and the representative of the Global Geospatial Information Management section provided opening remarks. During the presentation, Prof. Qunli introduced the vision, mission and objectives of CBAS and its ongoing projects toward the monitoring of SDGs, including Goals 2, 6, 11, 13, 14 and 15. It was also highlighted the key digital infrastructure that has been developed for CBAS, including the SDG big data platform and the recently launched SDG satellite (SDGSAT-1). In addition, the webinar discussed the collaboration with international organizations, the involvement of international experts in CBAS, and upcoming projects to monitor other SDGs.
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course are: * Introducing the participants to the concept of Big Data, the associated challenges and opportunities, and the statistical methods and IT tools needed to make the use of Big Data effective in official statistics. * Overviewing statistical methods and IT tools available for Big Data usage in Official Statistics.
Target Audience: Official statisticians (including managers) to be involved in big data activities and having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in big data activities, need basic knowledge on the use of big data in official statistics.
Description: Finite population sampling has found numerous applications in the past century. The validity of sampling inference of real populations derives from the known probability sampling design under which the sample is selected, “irrespectively of the unknown properties of the target population studied” (Neyman, 1934). This is the key theoretical justification for its universal applicability. Valued graph is a more powerful representation, which allows one to incorporate the connections among the population units in addition to the units on their own. The underlying structure is a graph given as a finite collection of nodes (units) and edges (connections). Attaching measures to the nodes and/or edges yields a valued graph. Many technological, socio-economic, biological phenomena exhibit a graph structure that may be the central interest of study, or the edges may provide effectively access to those nodes that are the primary targets. Either way, graph sampling is a statistical approach to study real graphs. Just like finite population sampling, it is universally applicable based on exploring the variation over all possible subgraphs (i.e. sample graphs), which can be taken from the given population graph, according to a specified method of sampling. Graph sampling thus encompasses finite population sampling, because any latter situation can be represented as a special case of the former. All the so-called “unconventional” finite population sampling techniques, such as indirect, network, adaptive cluster or line-intercept sampling, can be more effectively studied as special cases of graph sampling. Whereas snowball sampling and targeted random walk sampling are probabilistic versions of breadth- or depth-first non-exhaustive search algorithms in graphs. The course provides an introduction to the central concepts of graph sampling, the most common sampling methods, and the construction of graph sampling strategy. An emphasis is the extension from the traditional sampling strategy (finite population sampling, Horvitz-Thompson estimator) to a much more general strategy consisting of bipartite incidence graph sampling (BIGS) and incidence weighting estimator (IWE). The application of the BIGS-IWE strategy will be illustrated for all the aforementioned unconventional situations of finite population sampling, as well as the more complicated graph sampling situations such as snowball sampling and targeted random walk sampling.
Target Audience: Graduate students, statisticians at national statistical offices or other organisations working with sampling methods, data scientists interested in network analysis, graph mining or compression.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: IOM GMDAC (Data extracted on: 31 May 2022 )
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Organizer(s): IOM EU
Description: The workshop "Household surveys and international migration data: Using, improving and creating efficient migration data collection tools" will be conducted in a hybrid manner and will cater for in-person and virtual participation. Participants will be invited from the government departments in the Southern Africa Member States. The invitation will be shared with a broader statistical audience who may want to participate virtually and benefit from the discussions.
Description: Concept note Despite increased interest in alternative data sources, household surveys remain a vital component of national statistical systems and a key source for producing official statistics. In measuring the progress towards Sustainable Development Goals (SDGs), household surveys are the primary source for one-third of indicators, cutting across 13 out of 17 SDGs. This underpins the importance of implementing strategies to improve the quality of data acquired through surveys. In addition to other design elements, questionnaires play a critical role in communicating statistical ideas to respondents and capturing high-quality data. Testing statistical concepts and questions used in labour force surveys is one way of ensuring data producers can operationalize statistical standards and produce reliable and accurate data. The ILO uses qualitative testing - cognitive interviews, focus groups, and rapid ethnographic assessments – to enhance the generic labour force survey questionnaire and in development of a light module to measure time use. This Stats Café shared recent experiences from two projects that had been conducting qualitative tests in India, Peru and Uganda. The session explored: Objectives - which testing methods are useful for survey development and why? Benefits - what comes from these tests and how can the findings be used?> Costs - what kind of skills, time and resources are needed for such testing? The session should be beneficial for official statisticians who are involved in designing household surveys. Participants engaged in questionnaire adaptation and development with or without recent experience in qualitative testing should find the session informative. Those who have conducted similar testing are encouraged to share their own experiences and lessons learned. Those with no or limited experience will get an insight into what is involved and how testing might support better data production in their country or area of work. Related publications and links:p Publications on earlier rounds of qualitative and quantitative testing: ILO LFS pilot studies – Cognitive interviewing tests: Methodology, process and outcomes ILO LFS pilot studies – Experimental field tests: Methodology, process and outcomes Measuring Women and Men’s Work: Main findings from a Joint ILO and World Bank Study in Sri Lanka Further information on the methodological work of the ILO: LFS modular time use measurement project Labour Force Survey (LFS) research and development ILO generic labour force survey questionnaire ILO Working Group on the Revision of Informality Statistics Standards , Stats Café Home: Upcoming events Concluded events in 2022 2021 events 2020 events
Description: With all these efforts of accelerating the modernization of official statistics, it is still difficult to reach and involve the statistical offices in all corners of the world. To be more inclusive and bring modernization closer to home, four Regional Hubs for Big Data in support of the UN Global Platform were established in Brazil (Rio de Janeiro), China (Hangzhou), Rwanda (Kigali) and UAE (Dubai) during 2020 and 2021. The main objectives of the Regional Hubs are the facilitation of innovation projects, the sharing of methods, algorithms and tools, and the provision of training in the use of Big Data and data science for the community of official statisticians in their respective regions. The Regional Hubs will be used to organize international seminars and workshops on data science and modernization of official statistics. For example, the National Bureau of Statistics of China organized thus far two international seminars in December 2020 and September 2021 in hybrid format, with in-person participation of national statisticians and remote participation of international statisticians.
Organizer(s): UNSD Ghana Statistical Services WHO International Institute for Applied Systems Analysis
Description: More than six years in the implementation of the 2030 Agenda and despite improvements, big data gaps still exist in all areas of the SDGs in terms of geographic coverage, timeliness and the level of disaggregation required. Intensified efforts need to be made to fill those gaps. The Agenda asks that follow-up and review processes at all levels should be open, inclusive, participatory and transparent for all people and support the reporting by all relevant stakeholders. Therefore, the successful implementation and monitoring of the agenda needs the engagement of citizens, with particular attention to the voices of the poorest and most vulnerable.
Description: The Federal Competitiveness and Statistics Centre (FCSC) of the UAE together with the United Nations Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD) welcome the world to explore data science and big data during a three-day event at Expo 2020. FCSC also invites everyone to witness the ceremonial launch of the Regional Hub for Big Data and Data Science in UAE, which serves the Middle East and North Africa (MENA) Region.
Description: The fourth Road to Expo 2020 will be held on 14 December and will focus on concrete methods for calculation of SDG-indicators by big data. Sustainable Development Goals with their broad coverage of societal, environmental and economic fields pose challenges to a comprehensive statistical follow-up. Possible data sources towards this aim are widely discussed and data from non-traditional sources are frequently mentioned in this regard. In this context, data from non-traditional sources can include big data, geo data or citizen generated data. The webinar will present concrete examples of how selected SDG-indicators can be calculated with the use of non-traditional data, hereby giving countries a concrete tool for reinforcing their statistical follow-up on the SDG. Furthermore, the webinar will discuss future possibilities for monitoring the SDG with non-traditional data, including geo and citizen generated data. Finally, while giving an insight into monitoring the SDG by non-traditional data, the webinar will build up to the workshop during the EXPO 2020, which subsequently will expand the topic and present the calculation methods in detail.
Source: UN Women (Data extracted on: 29 Nov 2021 )
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Organizer(s): UN Women ISWGHS
Description: Using administrative data from police, violence against women hotlines, and other service providers, UN Women has found that violence against women and girls has intensified since the outbreak of COVID-19, but collecting data to better understand this increase is challenging, because of various ethical, safety and methodological concerns that need to be considered during data collection. To understand the extent of this “shadow pandemic” and to support gender-responsive and evidence-based policymaking, UN Women launched Rapid Gender Assessment (RGA) surveys in 13 countries. The study has yielded important insights and methodological learnings on the feasibility of remote data collection on violence against women. The webinar will bring together representatives from National Statistics Offices, UN agencies, civil society organizations and other key stakeholders to discuss lessons learned on collecting data on violence against women during COVID-19 and how such data can be used to inform policy decisions. The objectives of this session are to: Provide an overview of UN Women’s RGAs on violence against women, including key findings and lessons learned Share learnings and challenges from technical and survey operations from data collection on violence against women – including ensuring ethical and safety measures that were put in place Exchange country experiences on using data for action to end violence against women The webinar is co-hosted by the Inter-Secretariat Working Group on Household Surveys and UN Women.
Source: Eurostat (Data extracted on: 29 Jun 2021 )
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Organizer(s): Eurostat EFTA
Description: The objective of the course is to introduce participants to some advanced techniques for treatment of non-response, variance estimation, calibration and sample coordination. Some of the theory will be illustrated by examples and some exercises will follow. The course starts with an introduction to the R software which will allow the participants to better understand the practical applications of these survey techniques and implement them successfully in practice.
Target Audience: Junior or senior staff of methodology divisions using sample survey techniques in the production of statistics. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Definitions, concepts and classifications used in UOE data collection (students enrolled, entrants, graduates, personnel, foreign language learning, leraning mobility and education expenditure) in order to respect the European legal framework for education statistics General issues of the financial data such as concepts, scope and types of transactions including improving education expenditure data and reconciliation exercise with national accounts.
Target Audience: Statisticians who will work (or are working) on education statistics in UOE data collection. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): SESRIC Occupational Health and Safety Institute Tunisia National Social Security Fund Djibouti
Description: Within the framework of the OIC-OSHNET Work Plan 2021-2022, the Tunisian Occupational Health and Safety Institute (TOSHI) of the Republic of Tunisia, in collaboration with the National Social Security Fund of the Republic of Djibouti, will organise a Training Workshop on “Data Collection and Analysis in Occupational Safety and Health (OSH)” on 01-04 November 2021 through an online video conferencing platform. The training will be provided by competent experts from the Tunisian Occupational Health and Safety Institute (TOSHI) and the National Social Security Fund of the Republic of Djibouti for the benefit of participants from the National OSH Authorities of OIC member countries. The training course aims at strengthening the technical capacities of the participants on how to maintain and use statistics of occupational accidents with a view to promoting prevention of occupational risks in companies as well as developing an action plan at national levels. The training workshop will also provide insights into various subjects, including the process for collecting and analysing statistics at regional and national levels and statistics of work accidents as a tool for help and guidance in companies. The OIC-OSHNET is an OIC platform established to create closer cooperation among the national OSH Institutions of the OIC Member States through sharing knowledge, experience and best practices. SESRIC assumes the role of the OIC Technical Coordinator of the OIC-OSHNET and provides facilitation and necessary technical support for the successful implementation of the activities organised within the framework of the OIC-OSHNET Work Plan 2021-2022. For more details about the Network, please visit: https://oshnet.sesric.org/index.php
Description: The African Centre for Statistics (ACS) of the United Nations Economic Commission for Africa (ECA), in collaboration with SurveyCTO and other development partners will organize a follow-up e-training regional webinar on the use of telephone surveys to collect Consumer Price Index (CPI) data from 20 to 21 October 2021. The e-training regional webinar on the use of telephone surveys to collect CPI data is a follow-up to the reginal seminar on data collection for the compilation of CPI during COVID-19 which was virtually organized during the weeks of 18 to 28 May 2020 and the regional e-training webinar on the application of alternative methods for price data collection to compile CPI which was held from 25 January to 4 February 2021. The main objectives of the upcoming e-training webinar are to provide participants with a brief practical overview of the SurveyCTO software package, to develop the capacity of member States on the use of telephone surveys / Computer Assisted Telephone Interview (CATI) in the collection of price statistics, and to identify pilot countries which are currently interested in adopting telephone surveys / CATI in price data collection. Staff who work in the area of price and other related statistics of the national statistical offices of member States, as well as sub-regional and regional organizations will participate in the e-training webinar.
Title in Arabic: استخدام السجلات الادارية كمصادر للبيانات الخاصة بالقطاع الزراعي
Organizer(s): AITRS
Description: تعتبر السجلات الإدارية أحد مصادر البيانات المعتمدة في التعداد الزراعي او المسوح الزراعية إذا كانت ذات جودة عالية ومكتملة من ناحية التغطية والشمول على مستوى المنطقة الجغرافية او على مستوى المحاصيل والحيازة. ويذهب كثير من الاحصائيين الى ان السجلات الإدارية غير مناسبة في حالات كثيرة بسبب كونها غير مهيأة للاحتياجات الإحصائية حيث من المحتمل ان تكون المعطيات المتوفرة لا يمكن استخدامها احصائيا. وفي حال اتخاذ القرار باستخدام المصادر الإدارية عند تنفيذ الانشطة الإحصائية الزراعية يجب اولا تقييم جودتها من حيث الملائمة والدقة والموثوقية ومستوى الاكتمال والاتساق وقابلية المقارنة والتوقيت المناسب والاتاحة. يطرح استخدام السجلات الإدارية كمصدر للبيانات الزراعية بعض الإشكاليات الفنية المرتبطة أساسا بالجودة والموثوقية باعتبار ان المعلومات لا تجمع لغايات إحصائية في الأساس وتستهدف جمهورا محدداً قصد استغلالها في اعداد تقارير النشاط او متابعة كيفية إنجازه. الا ان استعمال المصادر الإدارية في العمل الاحصائي قد تطور بشكل سريع في اتجاه تحسين جودتها واستجابتها للمعايير الإحصائية المتعارف عليها خاصة مع تطور ادماج وسائل الاتصال الحديثة في كامل سلسلة العمل الاحصائي. لذا، يعقد المعهد العربي للتدريب والبحوث الإحصائية والمنظمة العربية للتنمية الزراعية هذه الورشة للتعرف على الإشكاليات المطروحة من خلال استخدام السجلات الإدارية في الإحصاءات الزراعية، ومناقشة أسس وطبيعة هذه السجلات المستخدمة في المؤسسات المعنية بهدف حسن تطبيقها.
Source: World Bank (Data extracted on: 30 Sep 2021 )
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Organizer(s): World Bank
Description: With this course, explore the 2021 World Development Report (WDR) and how data can be used for advancing development outcomes. Learn about the principles of a new social contract for data and data governance needed to transform lives for the poor.
Description: FSIs are an important tool of macro financial analysis, featuring in a number of countries’ Financial Stability Reports, and IMF surveillance work, including Article IV Consultation Reports, Global Financial Stability Reports, and Financial Sector Assessment Programs (FSAPs).This webinar is a hands-on overview of the main changes in the concepts, definitions, data sources and methods for the compilation and dissemination of the new FSI data collection. Upon completion of this webinar, FSI compilers will be familiar with the structure of the new report forms, reflecting advances in the regulatory framework— most prominently embodied in the Basel III reform—including new definitions and measures of capital and new global liquidity standards, as well as the revised International Financial Reporting Standards (IFRS) accounting standards. Compilers will also gain a sound understanding of the changes in their respective countries’ historic series and metadata.
Description: The seminar is jointly organized by the National Bureau of Statistics of China (NBS), the United Nations Statistics Division (UNSD), and the United Nations Global Platform for Big Data China Hub.
Description: This Stats Café explored different big data partnership models with government agencies and the private sector, touching upon data privacy issues, necessary legal adjustments to accessing and using big data for official statistics, and win-win models for data exchange. Related events Asia-Pacific Stats Café Series: Big Data Governance, 16 August 2021. Expert Group Meeting on Big Data for Official Statistics: Big Data Governance (Expert Discussion I), 19 August 2021, 2 September 2021 (Read Report) , Stats Café Home: Upcoming events Concluded events
Description: The Asia-Pacific Stats Café Series on "Big Data Governance" was held on Monday, 16 August 2021, 12:00-13:30 hours (GMT+7). Attendance summary Flyer This Stats Café explored governance issues related to the use of big data for official statistics, including privacy, ethics, legislation and coordination, and how the role of the NSOs in government-wide digital strategies, national data infrastructure and data sharing can be leveraged for expanded uptake of big data in statistical operations. Related events Asia-Pacific Stats Café Series: Big Data partnership models, 30 August 2021. Expert Group Meeting on Big Data for Official Statistics: Big Data Governance (Expert Discussion I), 19 August 2021, 2 September 2021 (Read Report) , Stats Café Home: Upcoming events Concluded events
Description: أظهرت جائحة كورونا الحاجة الملحة لتطوير وسائل وآليات جمع البيانات الاحصائية في كل المجالات الاقتصادية والاجتماعية والديمغرافية وضرورة الحصول على النتائج في أسرع الاوقات لاتخاذ قرارات مبنية على الادلة، وذلك لعدة أسباب تتعلق أساسا بالإشكاليات اللوجستية والفنية والبشرية بالإضافة الى توجه شريحة هامة من المهتمين بالشأن الاحصائي الى المصادر الجديدة للبيانات على غرار البيانات الضخمة. ومن هذا المنطلق، توجهت جل الاجهزة الاحصائية لاستغلال التكنولوجيا والوسائل الجديدة للاتصالات وكل ما تتيحه هذه التكنولوجيات لتطوير طرق عملها في كامل سلسلة العمل الاحصائي. وفي هذا الإطار، تهدف هذه الورشة الى تمكين المشاركين من التعرف والتعامل مع هذه التقنيات الجديدة وتوظيفها بشكل دقيق في العمل الاحصائي في كل مراحله وخاصة جمع البيانات وتخزينها ومعالجتها.
Description: The Working Group on Fisheries Management (WGFM) will address the status of national submissions, timing of data calls, and standardized questionnaires, while focusing the discussion on currents needs for improvement,...
Organizer(s): SESRIC ESCWA Statistics Indonesia DOS Jordan DOSM Malaysia PCBS State of Palestine Statistics Senegal TurkStat Türkiye
Description: Within the framework of its Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on ‘Remote Data Collection Methods to Overcome the Challenges Faced by the NSOs During the COVID-19 Pandemic’ in collaboration with National Statistical Offices (NSOs) of Indonesia, Jordan, Malaysia, Palestine, Senegal, and Turkey, and the Statistics Division of the United Nations Economic and Social Commission for Western Asia (UNESCWA) on 6 July 2021 with the participation of NSOs of OIC countries. The objective of the webinar is to share experiences in using remote data collection methods, namely Computer Assisted Telephone Interviewing (CATI), Computer-Assisted Self-Interviewing (CASI), Computer Assisted Web Interviewing (CAWI), Short Message Services (SMS)/texts, Interactive Voice Response (IVR), online surveys, and app-based interviews, particularly during the COVID-19 pandemic. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Documents: Concept Note (English)
Description: Success in data science and statistics is dependent on the development of both analytical and computational skills, and the demand for educators who are proficient at teaching both these skills is growing. The goal of this workshop is to equip educators with concrete information on content, workflows, and infrastructure for painlessly introducing modern computation with R and RStudio within a data science curriculum. In addition to gaining technical knowledge, participants will engage in discussion around the decisions that go into developing a data science curriculum and choosing workflows and infrastructure that best support the curriculum and allow for scalability. Workshop attendees will work through several exercises from existing courses and get first-hand experience with using relevant tool-chains and techniques, including running a course on RStudio Cloud, and literate programming with R Markdown, and workflows for collaboration, version control, and automated feedback with Git/GitHub. We will also discuss best practices for configuring and deploying classroom infrastructures to support these tools.
Target Audience: This workshop is aimed primarily at participants teaching data science in an academic setting in semester-long courses, however much of the information and tooling we introduce is applicable for shorter teaching experiences like workshops and bootcamps as well. Basic knowledge of R is assumed and familiarity with Git is preferred.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This 2-day virtual course is based on the Data Science and Predictive Analytics (DSPA) course that the instructor teaches at the University of Michigan. The training will provide intermediate to advanced learners with a solid data science foundation to address challenges related to collecting, managing, processing, interrogating, analyzing and interpreting complex health and biomedical datasets using R. Participants will gain skills and acquire a tool-chest of methods, software tools, and protocols that can be applied to a broad spectrum of Big Data problems. Before diving into the mathematical algorithms, statistical computing methods, software tools, and health analytics, we will discuss a number of driving motivational problems. These will ground all the subsequent scientific discussions, data modeling, and computational approaches. The training will involve active-learning and integrate driving motivational challenges with mathematical foundations, computational statistics, and modern scientific inference. Building on open-science principles, training will focus on effective, reliable, reproducible, and transformative data-driven discovery. Trainees will develop scientific intuition, computational skills, and data-wrangling abilities to tackle Big biomedical and advanced health data problems. The instructor will provide well-documented R-scripts and software recipes implementing atomic data-filters, as well as complex end-to-end predictive big data analytics solutions.
Target Audience: Intermediate to advanced level learners, e.g., graduate students, postdocs, fellows, data science practitioners, engineers, mathematical modelers, (technology) team leaders, health analysts. The prerequisites incluyde some college-level quantitative training.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Organizer(s): SESRIC ESCWA Statistics Indonesia DOS Jordan DOSM Malaysia NCSI Oman Statistics Saudi Arabia TurkStat Türkiye
Description: Within the framework of its Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on ‘Big Data Applications and Utilising Non-Traditional Data Sources and Methods for Official Statistics’ in collaboration with National Statistical Offices (NSOs) of Indonesia, Jordan, Malaysia, Oman, Saudi Arabia, Turkey, and the Statistics Division of the United Nations Economic and Social Commission for Western Asia (UNESCWA) on 10 June 2021 with the participation of NSOs of OIC countries. The objective of the webinar is to share experiences in the development and/or use of big data applications and utilising non-traditional data sources and methods for official statistics. The webinar will cover the following topics: Opportunities and challenges of using non-traditional data sources, particularly big data, for official statistics; and Concrete big data applications of the OIC countries including the use of non-traditional data sources and methods such as satellite imagery data, mobile phone data, scanner data, Automated Identification System (AIS) vessel tracking data, earth observation data, machine learning, and others. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Documents: Concept Note (English)
Description: Finite population sampling has found numerous applications in the past century. The validity of sampling inference of real populations derives from the known probability sampling design under which the sample is selected, “irrespectively of the unknown properties of the target population studied” (Neyman, 1934). This is the key theoretical justification for its universal applicability. Valued graph is a more powerful representation, which allows one to incorporate the connections among the population units in addition to the units on their own. The underlying structure is a graph given as a finite collection of nodes (units) and edges (connections). Attaching measures to the nodes and/or edges yields a valued graph. Many technological, socio-economic, biological phenomena exhibit a graph structure that may be the central interest of study, or the edges may provide effectively access to those nodes that are the primary targets. Either way, graph sampling is a statistical approach to study real graphs. Just like finite population sampling, it is universally applicable based on exploring the variation over all possible subgraphs (i.e. sample graphs), which can be taken from the given population graph, according to a specified method of sampling. Graph sampling thus encompasses finite population sampling, because any latter situation can be represented as a special case of the former. All the so-called “unconventional” finite population sampling techniques, such as indirect, network, adaptive cluster or line-intercept sampling, can be more effectively studied as special cases of graph sampling. Whereas snowball sampling and targeted random walk sampling are probabilistic versions of breadth- or depth-first non-exhaustive search algorithms in graphs. The course provides an introduction to the central concepts of graph sampling, the most common sampling methods, and the construction of graph sampling strategy. An emphasis is the extension from the traditional sampling strategy (finite population sampling, Horvitz-Thompson estimator) to a much more general strategy consisting of bipartite incidence graph sampling (BIGS) and incidence weighting estimator (IWE). The application of the BIGS-IWE strategy will be illustrated for all the aforementioned unconventional situations of finite population sampling, as well as the more complicated graph sampling situations such as snowball sampling and targeted random walk sampling.
Target Audience: Graduate students, statisticians at national statistical offices or other organisations working with sampling methods, data scientists interested in network analysis, graph mining or compression.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: World Bank (Data extracted on: 29 Sep 2021 )
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Organizer(s): World Bank
Description: World Development 2021: Data for Better Lives focuses on the potential of data to improve the lives of poor people, including through the creative use and re-use of data, and the essential elements of a data governance environment in the form of data infrastructure policy, the legal and regulatory framework, related economic policy implications, and institutional ecosystems. These diverse elements can be conceived of as the building blocks of a social contract that aims to deliver equitably on the potential benefits of data while safeguarding against harmful outcomes. In this Policy Research Talk, members of the World Development Report team will highlight research being done by World Bank staff that illustrates the potential to combine private and public intent data to yield timelier, more granular insights to confront policy challenges, as well as research findings from data quality experiments and assessments. The team will also present new data sources released in conjunction with the report describing (i) countries’ capacities to deliver both foundational data (census, administrative records, surveys of households, firms) and to leverage alternative data sources (citizen-generated, machine-generated, geospatial), and (ii) domestic laws, regulations, and administrative frameworks to promote fuller participation in the digital economy.
Description: A virtual Expert Group Meeting on the Methodology of Data Collection for reporting on the SDG 12.6.1 was organized on 29 April 2021. The meeting was convened by UNCTAD in response to the requirements of the Inter-agency and Expert Group on SDGs with a view to collect different perspectives and to deliberate on possible updates to the Methodology of data collection on the SDG 12.6.1. Representatives of experts from various key stakeholders in the area of reporting and data collection on the SDGs, including statisticians, representatives of the NSOs and big data companies participated in the discussion.
Description: The report on "Measuring Progress Towards Achieving the Environmental Dimension of the SDGS" which analyzed a list of 93 environment-related SDGs indicators highlighted that there is not sufficient data for 68 percent of the indicators related to the environment to assess progress. Some areas with limited data include biodiversity, ecosystem health, the concentration of pollution and waste in the environment, and other environmental threats. With limited data to assess the trend at the global level, there is a high risk of receiving less policy interventions and investments to improve the state of the environment. Various organizations are exploring non-traditional data collection methods as traditional methods alone may not be enough to fill these data gaps. These non-traditional data collection methods, such as citizen science initiatives, earth observation, and integration of geospatial information, present advantages including lower cost of data collection, and better use of scientific expertise and indigenous knowledge amongst others. This webinar will bring together experts to: Showcase initiatives to fill data gaps through non-traditional data collection methods to measure progress towards achieving the environmental dimensions of the SDGs. Highlight the benefits of using non-traditional methods to fill data gaps of environment-related SDG indicators.. The webinar is part of the UN World Data Forum series and aims to bring data producers and users from different communities together and create an enabling environment for the integration and leveraging of various data sources and methodologies.
Title in Arabic: اسس ومفاهيم البيانات الضخمة والذكاء الاصطناعي
Organizer(s): AITRS UNDP Arab Development Portal Arab Aid
Description: ازدادت أهمية علم البيانات مؤخراً بشكل كبير نظراً لحجم البيانات الضخمة المتوفرة من مصادر متعددة وبأشكال مختلفة وهو ما يعرف بمصطلح البيانات الضخمة Big Data وحاجة هذه البيانات إلى طرق وأدوات معالجة خاصة. وقد طال الاهتمام بهذا العلم أجهزة الاحصاء الرسمية تجلى أساسا في عقد مؤتمرات وورش عمل اقليمية ودولية تتعلق بالبيانات الضخمة وعلم البيانات، والاستغلال الأمثل لما تتيحه هذه التكنولوجيات في تطوير الاحصائيات الرسمية. كما شرع العديد من الاجهزة الاحصائية في التطبيق الفعلي لمختلف التطورات والتطبيقات الجديدة في هذا المجال. وفي هذا السياق، سيتم تنظيم مجموعة ورشات عمل إقليمية مترابطة ومتكاملة عن بعد للأجهزة الإحصائية في البلدان العربية حول علم البيانات والذكاء الاصطناعي للتعريف بهذا الموضوع الهام . أهداف الورشات وتتمثل أهداف الورشات أساسا في: * إطلاع المشاركين على مفهوم علم البيانات، والبيانات الضخمة باستخدام تقنيات الذكاء الاصطناعي * إدراك المشاركين لأهمية علم البيانات في الاحصاءات الرسمية والتعرف على مختلف مكوناته، * التعرف على مختلف الاستعمالات والقيمة المضافة للبيانات الضخمة والذكاء الاصطناعي، * إطلاع المشاركين على الطرق الأولية في معالجة البيانات باستخدام برامج محددة.
Organizer(s): SESRIC IsDB Islamic Centre for Development of Trade
Description: Islamic Centre for Development of Trade (ICDT) in collaboration with SESRIC and Islamic Development Bank (IsDB) Group will organise the Virtual Training Workshop on Trade-in-Services Data Collection and Analysis on 23-25 March 2021 with the participation of the representatives of Ministries of Trade, Central Banks, and National Statistical Offices of the OIC countries and representatives of international organisations including African Union, International Trade Centre (ITC), League of Arab States, United Nations Conference on Trade and Development (UNCTAD), United Nations Statistics Division (UNSD), and World Trade Organisation (WTO). The objective of the Virtual Training Workshop is to introduce the new methodologies of collecting, harmonizing and analysing trade-in-services data to the participants and to help negotiators in trade-in-services approach new markets by using these data with a view to boosting the intra-OIC services trade while achieving the relevant goals of the OIC-2025 Plan of Action and the related SDGs. The Virtual Training Workshop on Trade-in-Services Data Collection and Analysis will cover the following topics: Importance of Trade in Services Statistics and Relevant Classifications; Experiences of Regional Institutions on Collection of Trade-in-Services Data; Challenges in Measuring Trade-in-Services; Experiences of OIC Member Countries on Trade in Services Data Collection and Analysis; and Trade in Services Data Analysis. During the Virtual Training Workshop, SESRIC will chair the session on the “Importance of Trade in Services Statistics and Relevant Classifications” and will make a presentation during the session on the “Experiences of Regional Institutions on Collection of Trade-in-Services Data”.
Description: Learn the basics of CAPI data collection and management, develop your own questionnaires and apply these skills to a wide variety of surveys. In 2019, the Asian Development Bank (ADB) launched two free Massive Open Online Courses (MOOCs) on Computer-Assisted Personal Interviewing (CAPI) using CSPro Android and Survey Solutions. Given the successful conduct of the courses and increased demand from learners who could not participate in the first two rounds, ADB has decided to launch a third round of the two MOOCs. The courses are expected to be released on 15 March 2021 and will be offered free-of-charge. LEARNING OBJECTIVES The course will introduce learners to two free CAPI platforms being used by official data collection agencies: (i) CSPro Android developed by the US Census Bureau and (ii) Survey Solutions designed by the World Bank. Through interactive modules, learners will not only pick up the basics of CAPI data collection, management, but will also be able to develop their own questionnaires and apply these skills to a wide variety of surveys. FORMAT Students will be permitted to register for one of the two CAPI software platforms. The medium of instruction will be English.Those enrolling for the course are expected to have access to a computer, handheld device (Android based smartphone or tablet), and internet connectivity. HOW TO REGISTER We encourage staff interested in enhancing their skills in CAPI to register online by 5 March 2021: https://forms.gle/f2V83Sj8cgz1JM3D6
Description: This side-event will showcase the competence framework on Big Data and data science and the related maturity matrix for statistical offices, the training program on Earth observations for agriculture statistics and the training courses on privacy preserving techniques. The objective is to convey the message that training in Big Data and data science is being developed and is available and open to all the members of the Commission.
Description: In the context of the Global Working Group on Big Data and its Task Team on Big Data for the SDGs in particular, the purpose of this side-event is to share status of the current work on monitoring the SDGs with the help of non-traditional data, including big data sources such as Earth observations and citizen generated data. The aim of the side event is to provide inspiration and knowledge exchange for countries wishing to exploit big data for their SDG reporting.
Description: This side-event of the 52nd UN Statistical Commission will showcase the projects on Sen2Agri, AIS data and .STAT. The objective is to convey the message that the data, services, technology and applications on the platform are available and open to all the members of the Commission. More projects can be onboarded. The side event will be conducted virtually and showcase 3 presentations with Q&A.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course are: * Introducing the participants to the concept of Big Data, the associated challenges and opportunities, and the statistical methods and IT tools needed to make the use of Big Data effective in official statistics. * Overviewing statistical methods and IT tools available for Big Data usage in Official Statistics.
Target Audience: Official statisticians (including managers) to be involved in big data activities and having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in big data activities, need basic knowledge on the use of big data in official statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: في اطار تنفيذ البرنامج السنوي للمعهد العربي للتدريب والبحوث الاحصائية لعام 2021 وعملا على تطوير برامجه التدريبية المختلفة بهدف تحسين جودة التدريب ورفع قدرات المشاركين في العمل الاحصائي المتخصص سيعمل المعهد على تنظيم دورات متوسطة أو طويلة الاجل في المجالات الإحصائية الرئيسية طبقا لما تم اقتراحه في برنامج عمل المعهد 2021-2022 خلال الاجتماع الخامس والأربعين لمجلس الأمناء. ولأهمية مجال العينات ولما لها دور في المسوح الإحصائية والمشاكل التي تواجه عملية الاستقصاء وجمع البيانات الإحصائية وأثر العينة على نتائج تلك المسوح والية اختيار المناسب منها، سينظم المعهد دورة تدريبية في مجال العينات بواقع مستويين اثنين او ثلاث مستويات لتغطية كل الجوانب المتصلة بالموضوع بالإضافة الى التعرض بالدرس للمستجدات التي طرأت في علم العينات واستخدام التقنيات الجديدة. اهداف الدورة تهدف هذه الدورة أساسا الى إكساب المشاركين المهارات التالية: * ترسيخ المفاهيم الضرورية لتصميم عينات المسوح الإحصائية * اعداد وتجهيز اطر المعاينة وسحب العينات منها * حساب الاوزان وتعديلها ومعايرتها * حساب التباين والدقة في التقديرات الناتجة من المسوح بالعينة * استخدام البرامج الحديثة في سحب العينات وحساب التباين * ضبط ومراقبة الجودة في كل مراحل العمل
Description: The Asia-Pacific Stats Café: Is COVID-19 introducing mode effects into your official statistics? was held on Monday, 1 February 2021, 11:00-12:30 hours (Bangkok time, GMT+7). This session of the Stats Café was jointly organized by UNESCAP and the Intersecretariat Working Group on Household Surveys. Attendance summary Flyer Technical Guidance Note – Planning and Implementing Household Surveys Under COVID-19 About the session The COVID-19 pandemic resulted in a range of impacts to statistical operations including abruptly stopping face to face data collections. Many National Statistical Office turned to telephone or web interviews to maintain time series continuity and monitor the health and socio-economic impact of the pandemic. Using alternative modes however, raises issues of time series comparability due to possible mode effects. This Café discussed mode effect assessment methodologies, lessons learned during COVID-19 with alternative modes of data collection, the potential of a “mixed mode” approach moving forward, and elements to consider for a cost effective data collection mode that produces high quality data. Introduction to the session Ms Haoyi Chen, Coordinator, Intersecretariat Working Group on Household Surveys (ISWGHS) Speakers Noraliza Mohamad Ali, Head of Employment Unemployment Division, Malaysian Bureau of Labour Statistics, Department of Statistics Malaysia Seo young Kim, Director, Statistics Korea, (Technical Advisor for UNFPA Population and Development Branch) Christopher Hoy, Economist (Young Professional) in Poverty & Equity Global Practice World Bank Ms Wilma Guillen, Assistant National Statistician, Philippine Statistics Authority (PSA) Moderator Gemma Van Halderen, Director, Statistics Division, ESCAP
Description: The African Centre for Statistics (ACS) of the United Nations Economic Commission for Africa (ECA), in collaboration with the National Institute of Statistics and Economic Studies (INSEE-France), Office for National Statistics of the United Kingdom (ONS-UK) and other development partners will organize an e-training webinar on the use of alternative price data collection methods, focusing in particular on the use of telephone surveys, scanner data and web scrapping methods from 25 January to 4 February 2021. The e-training webinar on the use of alternative price data collection methods is a follow-up to the reginal seminar on data collection for the compilation of CPI during COVID-19 which was virtually organized during the weeks of 18 to 28 May 2020. The main objectives of the upcoming e-training webinar are to develop the capacity of member States on the use of telephone surveys, scanner data and web scrapping in the collection of price statistics and to identify countries for providing further technical assistance on each of the methods. Staff who work in the area of price and other related statistics of national statistical offices of member States, as well as sub-regional and regional organizations will participate in the e-training webinar. On-line registration to participate in the meeting can be made by using the hyperlink provided below until 22 January 2021: https://events.uneca.org/registration/register?eventId=255c1f05-7655-eb11-80e6-0050569360fe
Organizer(s): UNSD UNITAR Citizen Science Center Zurich Switzerland
Description: Our fourth edition of the Build Strong Data Ecosystems for SDGs series on Citizen Science and Citizen-generated Data for Monitoring the SDGs was held on 19 January. It was great to see so many participants (almost 80) in this session. During this webinar, Rosy Mondardini, managing Director of the Citizen Science Center in Zurich, provided a brief introduction to citizen science. She stressed the advantages of citizen science data for national statistical offices with two aspects: 1) monitoring the SDGs by filling data gaps and supplementing the national data with disaggregated levels; and 2) implementing the SDGs by supporting individuals and communities. She elaborated on Citizen Science's implementation with best practices such as Fresh Water Watch in the UK and Marine Debris Initiative in Australia. Elena Proden, Senior Specialist at UNITAR, presented a collaborative study designed and carried out as part of the EU-funded Crowd4SDG project. She elaborated on the data collections and introduced the current membership in the study advisory group and their key outputs so far.
Description: Building and updating an inventory of addresses is a challenge that blends handling high volumes of data, with homogenizing information from different institutions, and accessing information from non-traditional sources. Having a good inventory of addresses makes it easier to update master sample frames for household surveys, and to plan field work for data collection in general. It also opens the door to innovations such as web based responses.
Target Audience: National statistical offices, government officials that deal with official statistics production and/or dissemination, policy makers, employees from International Organizations that deal with statistical capacity building, researchers
Description: About the session This session explored how the NSOs use big data and data science in the production and improvement of economic indicators (i.e., scanner data and web scraping for the CPI) and how they develop data partnerships with the private sector. Agenda Welcome remarks: Tanja Sejersen, Statistician, Statistics Division, UN ESCAP Speakers: Mazliana Mustapa, Principal Assistant Director, Department of Statistics, Malaysia Gary Dunnet, Deputy Chief Methodologist, Statistics New Zealand Tom Smith, Director, Data Science Campus, UK Office for National Statistics Moderator: Irina Bernal, Consultant, UN ESCAP --------------------- >> See others Asia-Pacific Stats Café series
Description: About the session The use of modern technologies, such as mobile phones or social media generate data about people’s movements, activities and opinions. When analyzed in a privacy-preserving manner, these data could translate into valuable insights and statistics to inform public policy. National statistical offices in Asia-Pacific region have been exploring ways of generating social and demographic statistics from big data sources, with most pilots focusing on human mobility and migration statistics. This session showcased several country examples in Asia-Pacific region of compiling social and demographic statistics using big data, in particular the mobile phone data. The discussions focused on data access and privacy, big data integration, and scaling up big data pilots. Speakers Edi Setiawan, Head of Population & Labor Mobility, Statistics Division, BPS-Statistics Indonesia Rajius Idzalika, Data Scientist, Pulse Lab Jakarta Linus Bengtsson, Executive Director, Flowminder Foundation Tanja B. Sejersen, Statistician, Statistics Division, ESCAP --------------------- >> See others Asia-Pacific Stats Café series
Source: Eurostat (Data extracted on: 06 Aug 2020 )
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Organizer(s): Eurostat GOPA
Description: The main objectives of the course are: * to provide the participants with basic knowledge of using administrative registers to produce statistics; * to provide skills to build and update statistical registers by using various administrative sources; * to provide best practice in combining statistical surveys and register data; * to provide best practices on moving from survey based system to register based system (experience of the Member States that have completed this process – Nordic countries); * to provide best practices on reducing statistical burden by using statistical registers.
Target Audience: Methodologists and statisticians who are involved in the production of statistics potentially covered by administrative registers, in particular in the domain of social statistics. The course is targeted to any NSIs staff wishing to understand the possible ways of producing official statistics based upon statistical registers. Horizontal knowledge of different statistical areas and production steps in official statistics is welcome. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): UNSD UNCTAD UN Global Pulse MarineTraffic CCRi
Description: Automatic identification system (AIS) data allows for real-time geo-tracking and identification for equipped vessels. AIS data provides a big data source of unrivaled quality. The number of possible applications for this data is enormous. To quickly utilize the data to its full potential, we need a surge of creative researchers to come up with equally creative ways to use it!
Description: The focus of this year's conference is on the use of Data Science for official statistics, in particular the use of artificial intelligence (AI) and machine learning. In addition to the creation of Big Data centers next to the national statistical offices (NSOs) they have started creating Data Science Campuses as R&D centers, which develop and test new methods. They also have an educational program usually in cooperation with some universities. The Conference will cover the use of AI and machine learning for official statistics. The UN Global Working Group (UN GWG) created the UN Global Platform as a collaborative environment to develop and test new data sources, methods and algorithms for the global statistical system, such as new methods to compile agricultural crop yield using satellite data, migration and tourism statistics using mobile phone data and CPI estimates using scanner data which will be discussed during the conference. Many more pilot projects can be initiated on the Platform involving not only the statistical community and related public sector but also stakeholders from private sector, academia and civil society. The Conference will also cover the topic of changing the production line to introduce new data solutions in the national statistical systems.
Description: About the session Big data and other non-traditional data sources are an exciting prospect for national statistical offices faced with increasing demand for more statistics of greater timeliness and relevance as has been experienced in the context of the 2030 Agenda for Sustainable Development and the COVID-19 pandemic. This increasing demand often coincides with declining budgets. Big data and other non-traditional data sources can sometimes offer comparatively inexpensive solutions. Globally and regionally, activities associated with these data sources continue to grow. The opportunities for member State engagement and involvement are vast. This seminar is held as preparation for the 7th Committee on Statistics. The presentations will highlight some of the key global and regional developments to support NSOs to use big data and participants will have a chance to discuss the prospects of big data for official statistics in Asia and the Pacific. Agenda Welcome: Gemma Van Halderen, Director, Statistics Division, ESCAP Big Data and official statistics – the role of the Global Working Group: Niels Ploug Introduction to UN global platform regional hub in China": Wang Wenna Current progress of Big Data utilization for official statistics in Indonesia: Ali Said Questions and answers : Tanja Sejersen Speakers Niels Ploug is the Director of Social Statistics, Statistics Denmark and responsible for SDG data. He is also a cochair UN Global Working Group on Big Data for Official Statistics Wang Wenna is the Head of the Centre on the Application of Big Data in Hangzhou, and Deputy Director-General of NBS Survey Office in Zhejiang, National Bureau of Statistics of China Ali Said is the Director of Analysis and Development of Statistics at Statistics Indonesia. He is also appointed to lead the development of Big Data uses for official statistics at Statistics Indonesia Tanja Sejersen, Statistician, Statistics Division ESCAP --------------------- >> See others Asia-Pacific Stats Café series
Description: UNWTO, IFC and Digital Tourism Think Tank are providing a 2hr primer masterclass. The executive-level class will provide case studies, quick wins and good practices of using big data in tourism recovery strategies. In this Introductory class, executives will learn: * What big data insights can show us about COVID-19 and the tourism market in Africa; * The spectrum of data opportunities in Africa, who the main providers are and what they offer; * The pros and cons of different uses and approaches to using traditional and big data; * Lessons learned from Portugal, Ethiopia and South Africa.
Title in Arabic: نظم المعلومات الجغرافية والصور الفضائية
Organizer(s): AITRS
Description: إن توفر البيانات الإحصائية في القطاع الزراعي يعتبر عاملا أساسيا للنهوض وتنمية هذا القطاع ولا يمكن وضع سياسات تنموية زراعية فعالة بدون معرفة الوضع الحقيقي للقطاع الزراعي من معلومات مفيدة تساعد على حسن اتخاذ القرار ووضع استراتيجيات على المدى القريب والبعيد من أجل تحقيق الأمن الغذائي بعناصره الأربعة من إتاحة ووصول واستعمال واستقرار الغذاء. على سبيل المثال، المتابعة الموسمية للمحاصيل الزراعية تبين لنا الحالة الصحية لهذه المحاصيل مكانيا وكذلك تطور انتاجيتها عبر الزمن مما سيساهم في وضع سياسة لتحسين إنتاجية المحاصيل ووضع هدف للوصول إلى مستوى معين من الإنتاج وخطة عمل حسب الظروف البيئية المحيطة بدائرة الإنتاج. في الكثير من الأحيان، تبقى المعطيات والبيانات الإحصائية في المجال الزراعي من ناحية في شكل جداول تكون نتائجها على نطاق محلي إداري أو وطني وتفتقد إلى البعد المكاني الجغرافي الدقيق ومن ناحية أخرى، تبقى المتابعة الموسمية مقتصرة على زيارات ميدانية قليلة من حيث العدد بالرغم من أهميتها نظرا لكلفتها الباهظة وتفتقد إلى المتابعة الزمنية الدورية الدقيقة خلال الموسم الزراعي. هذا إلى جانب الإشكال المطروح بين الإحصاءات الرسمية وماهوا حقيقة ما تم حصاده من محاصيل تكون في الغالب بعيدة على الأرقام الصحيحة لوجود إشكاليات في تقدير المساحات المزروعة أو في تقدير إنتاجية المحاصيل. لمساعدة أهل الاختصاص في تقدير سواء المساحات المزروعة أو الإنتاجية أو تقدير الثروة الحيوانية أو الغابات أو درجات الجفاف وتأثيره على منظومة الإنتاج أو حالة تدهور الأراضي أو حسن إدارة الموارد المائية خاصة في المناطق المروية أو لوضع برنامج لتحسين الإنتاجية الزراعية في المناطق المطرية فإن حسن استعمال تقانات نظم المعلومات الجغرافية والاستشعار عن بعد من صور فضائية وجوية وأجهزة استشعارية حقلية يساهم في فهم أكثر لمنظومة الإنتاج وحسن اتخاذ القرار ووضع السياسات الموضوعية لتحسين واستقرار هذه المنظومة.
Description: The African Centre for Statistics of the United Nations Economic Commission for Africa (ECA) is organizing from, 18th to 28th May 2020, an online regional seminar on data collection for, and compilation of, consumer price indexes in the context of Covid-19. The outbreak of Covid-19 has brought big challenges to national statistical systems and their operations. On one hand, the demand for statistics and data as the policy-makers and the public want to know how the outbreak is affecting various aspects of the economy has increased. On the other hand, however, the ongoing social-distancing and lockdowns measures that are introduced to curtail the spread of the virus have also imposed restriction on possibilities for statistical data collection activities. Most of these data collection activities (censuses and surveys) are conducted through face-to-face interviewing. While the challenges for countries country might diverge due to different national circumstances and patterns, they also have common features that require joint efforts to find technical solutions suitable for the African continent. At a recent teleconference with the Directors-General of National Statistical Offices (NSOs) in Africa, countries requested from Pan-African institutions and development partners an organized setting where they can share and exchange good practice and experience. In this regard, UNECA is organizing, along with partner institutions (national statistics offices, universities and international organizations, in Europe and North America), a Regional Seminar via teleconference on Data Collection for Compilation of CPI in context of Covid-19 in the weeks of 18-28 May 2020 with two sessions daily. The Seminar will provide a forum for the exchange and sharing of practice and experience among countries, international and regional organizations, academia, and development partners. The seminar will feature presenters from INSEE (National Institute of Statistics and Economic Studies in France), the Office for National Statistics of the United Kingdom, Statistics South Africa, Statistics Norway, the University of Michigan (U of Michigan), the International Labor Organization (ILO), the International Monetary Fund (IMF) and the United Nations Economic Commission for Europe (UNECE). For more: https://ecastats.uneca.org/acsweb/FocusAreas/ESNA/CPI2020.aspx
Description: From August 12 to 27 September 2019, UNCTAD will provide an on-line training on NTMs and Data Collection to government officials, researchers, and representatives of the private sector worldwide. More information Non-tariff measures (NTMs) encompass a broad range of policy measures: "Policy measures, other than ordinary customs tariffs, that can potentially have an economic effect on international trade in goods". They are, more than ever, at the centre of Global Trade, affecting some 90% of world trade and all areas of our everyday lives. Meeting these complex andoften opaque rules requires national and regional financial and technical resources, as well as a well-functioning multilateral trading system. Understanding the uses and implications of NTMs is essential for the formulation and implementation of effective development strategies to meet the Sustainable Development Goals, and to use NTMs in a way that carefully balances the reduction in trade costs against the preservation of public objectives. With the aim of providing government officials, researchers, and representatives of the private sector with the knowledge and tools needed to identify, classify and collect information about national NTMs, as part of the international effort to improve access and increase transparency with regard to these measures, UNCTAD is offering the course on NTMs and data collection which constitutes a useful base of technical knowledge and skills for policymakers, researchers and trade practitioners working with NTMs and collecting data of NTMs.
