Integrating data science into the production of official statistics to inform and enhance efficacy of policy decisions, with a special focus on the transport sector.
Agenda - Day 2 23 Jan 2024 Agenda - Day 1 Agenda - Day 3 Download
Parallel Sessions: Room 1: DSLN Sprint Room 2: Mobile Phone Data Workshop
Room 1: Second DSLN Sprint Download session slides
Developing a Playbook to effectively integrate data science into the strategic planning and day-to-day operations of national statistical offices
The 2nd DSLN Sprint will focus on developing a detailed outline of a playbook to integrate data science into National Statistical Offices (NSOs). The sprint will be divided into four half-day sessions, with each of the first three sessions dedicated to a section of the playbook and concluding with a session on cross-cutting issues and next steps.
09:00
DSLN 2nd Sprint opening
Introductory remarks by Mr. Osama Rahman, Chair of the Data Science Leaders' Network
09:10
Section 1
Leveraging basic tools of data science for immediate efficiency gains in NSO operations
Facilitator: Mr. Marco Marini, Chief of Data Governance and Services Division in the Statistics Department, IMF
Relevant and recent examples highlighting the use of basic data science tools for efficiency in NSO operations
- Case study 1: Reproducible Data Pipelines (Jeroen Minderman, Senior Data Scientist (TP), Data Science Campus, ONS UK) Presentation
- Case study 2: Data linkage project of post enumeration survey and census data (Mr. Ivan Murenzi, Deputy Director General, National Institute of Statistics of Rwanda) Presentation
- How could the basic data science tools used in this case study be adapted or expanded to address similar challenges in other NSO operations?
- What are some potential obstacles when implementing these data science tools in NSO operations, and how might they be overcome?
- Can you identify any opportunities for scaling or enhancing the efficiency gains witnessed in this case study to other areas of NSO work?
- What lessons can be learned from this case study about integrating data science tools into traditional statistical processes?
- Automation and process optimization
- Adopting new tools and technologies
- Cultural and process change management
- Plenary: Reporting back from breakout groups
12:00
Lunch
13:00
Section 2
Generating Insights in response to emerging needs
Facilitator: Ms. Alison Baily, Policy and Programme Manager, UK Statistics Authority
Focus on rapid response and integration of diverse data sources for the fast delivery of new analytic outputs in a real-world scenario
- Case Study 1: Improving the quality of transport statistics (Mr. Bertrand Loison, Vice-Director General Switzerland) Presentation
- Case Study 2: Web scrapping and NLP for Business Statistics (Mr. Barteld Braaksma, Innovation Manager, CBS Netherlands) Presentation
- How did the integration of diverse data sources in this case study enhance the ability to respond rapidly to new analytic requirements?
- What challenges might arise when trying to replicate this approach in different contexts or with different types of data?
- In what ways could the methodologies used in this case study be improved or innovated upon for even more effective outcomes?
- How can the insights generated from this approach inform policy decisions, and what are the potential limitations?
- Rapid response and data integration
- Skill development and capacity building
- Data Science partnerships and collaboration
- Quality frameworks
- Resource mobilization and leadership support
- Plenary: Reporting back from breakout groups
Room 2: Hands-on Training
Workshop on the use of Mobile Phone Data in
transport statistics
Moderator: Fredrik Eriksson, ITU
9:00
Welcome and Introduction - Launch of the Transport Guide
Mohammed Al Mudharreb, Chief Executive Officer, Corporate Technology Support Services Sector, RTA
09:10
Overview of the UN-CEBD
Ronald Jansen, UNSD
09:20
Awareness Raising on the Use of MPD
Video
presentation - Thomas Smallwood, Flowminder
09:30
Using MPD: Benefits and Challenges
Thomas Smallwood, Flowminder
09:50
Interactive Polling Session
Thomas Smallwood, Flowminder
09:55
Reusing MNO data for official statistics
Albrecht Wirthmann, Eurostat
10:15
Mobile phone data - from idea to indicator
Fredrik Eriksson, ITU
10:30
Coffee break
10:45
MPD Use Cases in Transport
- Positium - Siim Esko
- University of Tokyo, Reitaku University - Ayumi Arai
- UK DfT - Samantha Rose
- Statistics Service, Ghana - Peter Mwinlaaru & Samilia Koomson
11:45
Discussions / Q&A
12:00
Lunch break
13:00
Launch of the Guide on the use of MPD for Transport Statistics
Latifa Alshehhi - Manager - Data Management, RTA
13:20
Modelling: Integration of MPD with other datasets
Siim Esko, Head of International Project Development, Positium
13:35
Using Big Data in optimizing transportation in Dubai
Adel Shakri - Director - Planning & Business Development, RTA
13:50
Mini-Workshop
Latifa Alshehhi - Manager - Data
Management, RTA
14:15
Tea break
14:30
Presentation of the Synthetic Data Work
Badshah Mukherjee, AI and Analytics Practice Lead, SAS
14:50
Roundtable Discussion and Q&A
15:30