Description: Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".
Target Audience: Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.
Description: Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".
Target Audience: Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.
This series of inspiration workshops, organized by the United Nations Statistics Division (UNSD) under the Data for Now initiative, seeks to inspire countries on the various ways to leverage innovative approaches for improved data-driven decision-making. The series, which consists of three sessions, will showcase examples of how both participating and non-participating countries have been working on the core ideas of the initiative to achieve their national objectives. These include prioritization based on countries' needs in consultations with national partners and users, the use of innovative data sources, methods, tools, and partnerships, and the improvement of IT infrastructure to facilitate the integration of innovative approaches to fill data gaps.
Description: The webinar will take the participants through the key features of a successful data strategy such as the establishment of measurable objectives, reporting, outcomes, governance model and getting the users' buy in. Additionally, this webinar will showcase the difference between international and national data strategies, as well as project-level versus organizational data strategies to equip participants with the knowledge necessary to bring to their own projects.
Description: Mexico's National Institute of Statistics and Geography (INEGI), the International Association of Official Statistics (IAOS) and the International Statistical Institute (ISI) welcome you to the website for the 19th IAOS Conference and the 5th ISI Regional Statistics Conference which will be held jointly as the IAOS-ISI 2024 Mexico Conference. Join us in Mexico City from 15 - 17 May 2024 to discuss the future of statistics. The Conference theme, "Improving Decision-Making for All", points to official statistics' role as a valuable public good all kinds of users rely on to inform their decisions. The IAOS-ISI 2024 Mexico Conference aims to build a new social contract around data based on value and trust.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat EFTA Statistics Iceland
Description: This objectives are: * Present how R can be used for processing, analyzing and disseminating official statistics. * Introduce the “tidyverse” and how it can be used for data wrangling. * Present ggplot and how it can be used to produce graphs. * Introduce the GSBPM, how it applies to the production of official statistics and linking it to available R libraries and functions. * Introduce RMarkdown and how to write reports through R.
Target Audience: Statisticians working in the production of official statistics, especially data processing and analysis. No specific experience within official statistics is necessary. The course should both be relevant for junior as well as senior statisticians.
Title in Arabic: العمل بالنموذج العام للعمل الإحصائي (GSBPM)
Organizer(s): AITRS
Description: تشكل العصرنة التنظيمية وتدبير الجودة الإحصائية رهانين وتحديين هامين بالنسبة لمكاتب الإحصاء العربية بشكل خاص ولأنظمتها الوطنية للإحصاء بصفة عامة. اذ تزايد الطلب على المعلومات الإحصائية بجودة عالية وبتدفق مستمر في إطار تدبير وأخذ القرارات الناجعة للبرامج العالمية والجهوية والوطنية، وخاصة برنامج اهداف التنمية المستدامة، وبرامج التنمية القطرية في مختلف المجالات. هذا ويشكل تبني أدوات تدبيرية حديثة معتمدة عالميا من طرف المنظمات الدولية المشتغلة بالمجال الإحصائي، احدى الركائز الأساسية لعصرنة سلسلة الانتاج وتحقيق الجودة المطلوبة في العمل الإحصائي. وفي هذا الإطار يشكل النموذج العام للعمل الإحصائي GSBPM احدى الأدوات الأساسية التي طورت من طرف منظومة الإحصاء الدولية والتي اعتمدت ويتم العمل بها من طرف العديد من أجهزة الإحصاء الوطنية في العالم، كل حسب سياقه المؤسسي ومستوى النضج التنظيمي والرقمي لها. وبناء على ما سبق، أصبح حيويا بالنسبة لأجهزة الإحصاء الوطنية العربية العمل بهذا النموذج الذي سيمكن، ان طبق بشكل ذكي ومتدرج، من تطوير العمل بها، وتتبع الجودة الإحصائية بارتباط به، كما سيمكنها أيضا من تدبير البيانات الوصفية التي تعتبر من أهم أعمدة تشكيل وتوثيق المعلومات حول العمليات الإحصائية، خلال جميع مراحل سلسلة الإنتاج الإحصائي. تماشيا مع استراتيجية واهداف المعهد العربي للتدريب والبحوث الإحصائية في مجال تعزيز القدرات الإحصائية للدول العربية واستنادا على الحاجة الماسة والمعبر عنه على مستوى الدول لتكوين كوادرها على المناهج والأدوات المعيارية المرتبطة بتنظيم العمل الإحصائي على أسس حديثة تمكن من تجويد العمل الإحصائي وتبادل التجارب بين الدول والمنظمات الدولية حول المناهج، تأتي هذه الورشة التدريبية لدعم قدرات الأجهزة الإحصائية العربية في العمل بالنموذج العامل للإنتاج الإحصائي GSBPM.
Description: IAOS Krakow Working Group first debate on interactions and collaborations between official statistics producers and non-official data owners The debate will deal with the interactions and collaborations between official statistics producers and non-official data owners (see attached a concept note). The Krakow Working Group was established by the IAOS in April 2021. Its mandate is to reflect on the burning challenges Official Statistics face in today’s datafied societies. The IAOS, as an independent association that is not bound by a specific institutional mandate, brings together a diversity of actors from the data ecosystem and is thus well placed to exchange views, advance possible solutions and add specific value to make progress on the issues at stake. Two additional debates will be held in June 2023. One will discuss how to increase the engagement with and meet the needs of users, and address data and statistics misuse; the other will discuss whether there is a need to review/adapt ethical principles for official statistics and how best to foster data ethics. The outcomes of the three debates will help prepare a set of recommendations that will be presented in preliminary form at the World Statistics Congress in Ottawa in July this year. These recommendations should be for the benefit of all the actors in the data ecosystem that aim to contribute to quality information for the common good.
Description: This third edition of the ISI Regional Webinar Series will be held as part of the IAOS-ISI Conference in Zambia in April 2023. The theme of the conference is “Better Lives 2030: mobilising the power of data for Africa and the world”. Panellists will be drawn from conference participants, representing a diversity of countries (Zambia, Uganda, Cote d’Ivoire, Ghana and Rwanda), professional affiliations (government agencies, NGOs and universities), seniority (early career statisticians to professors), gender (male and female) and areas of expertise (official statistics, statistical capacity building, legal support, research and education, and social science and public health).
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP UNSD
Description: Identifying and responding to the needs of users for data and statistics is at the heart of the mission of National Statistical Offices (NSOs) and national statistical systems. NSOs already undertake many activities interacting with different users such as preparing press releases to aid journalists and communicate with the public at large and organizing launch events/workshops to disseminate important results from surveys and censuses.
Description: Session 1: The Role of Data Science in Official Statistics The availability of relevant, timely and usable statistics and indicators is essential for governments to set priorities, make informed decisions and implement better policies. The data science revolution is helping improve the production of those statistics and indicators through new methods, technologies and data sources, such as big data and machine learning. With many National Statistical Offices (NSOs) rapidly expanding their big data and data science capabilities and activities, there is an opportunity to step up international co-operation between NSOs to modernise global and national statistical systems. By sharing knowledge and identifying key priorities at leadership level, NSOs data science leaders can provide strategic vision and leadership to guide the many multilateral cooperation initiatives in this field. A new international and inclusive network for data science leaders can provide insight, strategic advice and secure buy-in to drive innovation, maximize efficiencies and accelerate the integration of statistical production through data science. The Data Science Leaders Network (DSLN) was initiated at the Statistical Commission in March 2022. The DSLN will advance the strategic discussion of key issues concerning the current and future role of NSOs in providing data science services for official statistics on the one hand and to other government agencies on the other. DSLN will also discuss the status of experimental data and indicators, ethical and legal considerations, data sharing and acquisition, the governance of data science research and capability building across government, the code of conduct for data scientists, and the quality framework for big data and data science. It will launch new initiatives and projects, while leaving the execution of those activities to existing groups. DSLN will further provide guidance on areas where capability gaps would justify proactive co-investment among statistical institutes. Session 2: Moving Towards Register-based Censuses: Opportunities and challenges This session of the Friday seminar on Innovation and Modernisation of Official Statistics will bring together Chief Statisticians to discuss the use of administrative data sources for producing population and housing census data. The current round of censuses has been witnessing a growing interest in the use of administrative data sources. The arrival of the Covid-19 pandemic, and the difficulties caused by it, has accelerated existing initiatives to utilize administrative data sources in a significant number of countries all over the world. There are many reasons for exploring administrative registers for producing census information, including : (a) the need to produce accurate, reliable and more frequent statistics (on a yearly basis); (b) high costs of conducting field enumeration and budgetary limitations for census taking; (c) reluctance of the population to participate in the census (for instance, during the COIVD-19 pandemic); and (d) availability of administrative registers for statistical purposes. On the other hand, there are certain challenges regarding the use of administrative registers, including the quality of existing administrative registers, lack of legal framework for the use of individual records for statistical production, and institutional capacity in establishing and maintaining statistical registers. Changing the design of census processes from the traditional method to one that is relying on administrative data sources is a core part of the strategy of many NSOs to develop a register-based statistical system. This will require a pragmatic shift in the way official statistics are produced. This seminar will discuss the process of transitioning and challenges in planning and managing this process, particularly those related to political and public support; legal framework; engagement of stakeholders; confidentiality issues; operational considerations and strengthening institutional capacity. The seminar will also provide an opportunity to learn from experiences of countries that are at different stages of this transition. Session 3: Towards a framework to harness data by citizens, for citizens and about citizens Citizens' contribution to data, broadly defined as the engagement of citizens in multiple processes in the data value chain, is increasingly recognized as critical to helping overcome many data challenges of our times. In particular, in the context of the 2030 Agenda's principle to ensure that nobody is left behind, citizen data helps fill critical data gaps for groups suffering from data marginalization and increase the extent to which their experiences are reflected in national statistics. In addition to filling data gaps, some citizen data initiatives provide insights into harmful customary practices as well as further advance important values such as fairness, inclusiveness, openness and transparency in statistics. Citizens' contribution to data could happen at different levels - global, regional, national, or local. The engagement of citizens can be organized by different stakeholders - scientists, community leaders, civil society organisations (CSOs), or individual citizens. Their engagement can contribute to various stages of the data value chain and serve different objectives and contribute to data and policy in many different ways. The official statistical community also increasingly recognizes the importance of non-state actors in contributing to the inclusiveness of official statistics. For data collection such as censuses and surveys, national statistical offices (NSOs) often partner with CSOs or representatives of marginalized population groups to ensure the inclusiveness of the data and methodology. Unleashing the full potential of citizens for data, however, faces many challenges. These, for example, include the lack of trust between the state and non-state actors, data quality, sustainability and statistical capacity of CSOs, etc. In this context, the United Nations Statistics Division organized an Expert Group Meeting on Harnessing data by citizens for public policy and SDG monitoring: a conceptual framework in November 2022. The meeting discussed different ways that citizens can contribute to data, as well as challenges and opportunities and mechanisms to harness citizens' contribution to fill data gaps and advance fairness, inclusiveness, openness and transparency in statistics. The meeting was attended by representatives from National Statistics Offices (NSOs), Civil Society Organizations (CSOs), academia and regional and international organisations. The meeting agreed that the development of a framework would be an important next step to help conceptualize the different ways citizens can contribute to data and support the formulation of action points for the community to move forward. The meeting also agreed to establish a Collaborative as a platform for collaboration and exchange of experiences and to advance the work in this area.
Description: The High Level Seminar for European Neighbourhood Policy East and Central Asia Countries will focus on informing the senior management of the NSIs of the key issues and developments in the field of statistics, especially at the European and international level, as well as their impact on the work of these NSIs. This seminar will also provide an opportunity for the management of the NSIs of these regions to discuss issues of common interest and to network.
Description: This workshop is organized by the United Nations Statistics Division (UNSD), in collaboration with the Government of the People’s Republic of China (PRC) through the National Bureau of Statistics of China, and with support of the United Nations Economic Commission for Europe.
• The workshop aims to increase the knowledge of participants in the implementation of the national quality assurance framework (NQAF) and the Generic Statistical Business Process Model (GSBPM).
• The workshop will give an introduction to the United Nations National Quality Assurance Framework and the guidance for implementation contained in the United Nations National Quality Assurance Frameworks Manual for Official Statistics.
• Furthermore, the workshop will provide an introduction to GSBPM and its implementation.
• Country case studies and examples will allow participants to share their practices and to learn from the experience of other countries.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The purpose of this course is to increase cooperation in the ESS with a common understanding of the PM² methodology. It will equip the participants with the competences required to be effective when managing projects. They will also learn about the essential concepts and challenges related to project management. More specifically, this course will enable to: * Explain the value of project management; * Present the PM² methodology essentials; * Develop a common vocabulary and understanding in the ESS regarding project management; * Understand the project organisation, governance and lifecycle; * Develop essential skills for managing projects effectively; * Improve the effectiveness and quality of cooperation in the ESS with a common understanding of the PM² methodology.
Target Audience: * Project managers from ESS Member States, with practical experience or some theoretical knowledge about project management. * Staff involved in ESS projects are particularly encouraged to attend ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The first-ever Live Q&A Session with UNSD Director Stefan Schweinfest with the title “Let’s discuss the next normal for Statistics!” on the Global Network of Data Officers and Statisticians during which you will have the chance to ask the Director of the UN Statistics Division, Stefan Schweinfest.
Description: Given the recent outbreak of the COVID-19 pandemic, many national statistical offices have been facing obstacles to carrying out their work in a normal way. There is a need to reflect on these challenges and try to overcome the problems by finding solutions that enable NSOs to continue doing their work in line with international statistical standards despite the pandemic. With this in mind, the ILO Department of Statistics, in collaboration with the ITCILO, is organizing this course to reflect on the ongoing challenges, present the latest international statistical guidelines for NSOs in dealing with the pandemic, find innovative solutions to overcoming the COVID-19 disruption, and continue doing their work.
Target Audience: This course caters to government officials from ministries of labour, economy and planning; officials of national statistical offices; officials of national, regional and international organizations; members of academic and research institutions; and representatives of workers' and employers' organizations (ILO social partners).
Description: During our next Global Network Webinar session Elena Proden (UNITAR) and Gabriel Gamez (UNSD) will present on StaTact - A tool for quick and cost-effective solutions to address pressing data needs. As NSOs have been experiencing disruptions in some of the important statistical activities due to the COVID-19 situation, the importance of short-term approaches and quick problem-solving has grown in relevance. StaTact developed by UNITAR in close collaboration with UN Statistics Division offers exactly such a tool rooted in a tactical approach to statistical planning. This tool provides a collaborative environment for members of National Statistical Systems and users to meet online to easily set up their Working Groups with national and international stakeholders and discuss measurement issues at hand. By the end of the process, Working Groups will be able to develop up-to-12 month action plans based on the root case analysis, as well as monitor their implementation and mark progress. The relevance of StaTact goes beyond the pandemic context. It is really about supporting operational, annual level programming and implementation. StaTact leverages two key models: GSBPM and GAMSO, and can be a useful tool to overcome bottlenecks and build consensus of key stakeholders on possible solutions to addressing difficult data issues that, as one user pointed out, may have been discussed multiple times before, but are for the first time really addressed at their core.
Title in Spanish: Retos de las Oficinas Nacionales de Estadística ante el COVID-19
Organizer(s): IDB
Description: The crisis generated by the COVID-19 pandemic has highlighted the importance of generating timely, relevant and reliable statistical information to monitor the progress of the disease, detect vulnerable groups, measure the impact of isolation policies on people's lives and in the economy, and project the consequences and future needs. The crisis has also shown that the national statistical offices (NSOs) and the national statistical systems (NSSs), like the rest of society and the government, were not prepared to cope with the implications of the isolation policies that have required that people stay at home, nor did they have all the technological infrastructure to guarantee the continuity of work remotely. This sudden transition has had serious repercussions on the generation of official statistics, since a large amount of data collection, such as the census or household surveys, involves in-person visits and face-to-face interviews. This webinar was a conversation with authorities of NSOs from Latin America about how they faced this challenge.
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
