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 3 24 Jan 2024 Agenda - Day 1 Agenda - Day 2 Download
Parallel Sessions: Room 1: DSLN Sprint Room 2: Hands-on GIS training
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 (continued)
09:00
Section 3
Full Transformation through Data Science
Facilitator: Eric Deeben, Chief Technical Advisor, UN-ESCAP
Showcasing a successful full-scale transformation of an NSO through advanced data science methods
- Case study 1: Transformation of the Canadian Consumer Price Index (CPI) (Mr. Wesley Yung, Acting Director-General, Modern Statistical Methods and Data Science Branch, Statistics Canada) Presentation
- Case study 2: Mr. Dominik Rozkrut, President, Statistics Poland
- Case study 3: Transformation of the enterprise data architecture and modernization of the IT infrastructure (Mr. Elio Villasenor, Data Science Lab Director, INEGI, Mexico) Presentation
- What were the key factors that contributed to the successful transformation of the NSO in this case study?
- How did the use of advanced data science methods overcome specific challenges in the transformation process?
- What could be the long-term implications of such a transformation on the quality and utility of official statistics?
- What are the critical considerations for maintaining data security during a full-scale transformation?
- Strategic leadership and support
- Advanced data science tools and methods
- Technology implementation and integration
- Data quality management and security
12:00
Lunch
13:00
Section 4
Cross-cutting Issues
Facilitator: Mr. Issoufou Seidou Sanda, United Nations Economic Commission for Africa (UNECA)
- Recap of cross-cutting issues identified in previous sessions (Mr. Luis Gonzalez, UNSD)
- Case studies showcasing a successful full-scale transformation of an NSO through advanced data science methods
- Case study 1: Cultural change (Mr. Yves Jaques, Chief of Frontier Data and Technology Unit, UNICEF) Presentation
- Case study 2: Institutional arrangements (Mr. Gogita Todradze, Executive Director, National Statistics Office of Georgia) Presentation
- Plenary discussion focused on identification of additional chapters for the Playbook (including volunteers for drafting)
13:00
Take aways and way forward
- Panel discussion with experts from various NSOs and data science fields.
- Take-aways of the Sprint
- Overarching themes: ethical considerations, sustainability, and inclusivity
- Next steps and closing remarks
Mr. Osama Rahman, Chair of the Data Science Leaders’ Network
16:05
Closing plenary session
Closing remarks and acknowledgements
Room 2: Hands-on GIS Training
Approaches to calculate SDG indicators 11.2.1, 11.7.1 and 9.1.1
Moderator: Daniel Hopp, UNCTAD
9:00
Welcome and introduction
Mr. Ronald Jansen, UN Statistics Division
9:05
Presentation by UN-Habitat
Mr. Dennis Mwaniki, UN Habitat
Mr. Daniel Githira, UN-Habitat
- Indicator definition
- Indicator components and concepts
- Computation
- Emerging challenges and opportunities
10:15
Use cases
- Mr. Guineng Chen, Data and Policy Analytics International Team Leader, International Transport Forum, OECD
- Access to Public Transportation
- Mr. Thiago Arantas, IBGE, Brazil
- Transport and urban networks studies at IBGE, Brazil
- Ms. Safeyah Alshehhi - FCSC
11:15
Coffee break
11:30
Prep work for use of ArcGIS
Ms. Safeyah Alshehhi, FCSC
12:00
Lunch
13:00
Overview of GIS data science concepts
Ms. Kate Hess, Solution Engineer, Official Statistics, Esri (remote)
- Data Engineering - Example using ArcGIS Pro (cleaning health data for analysis)
- Visualization & Exploration - Interactive charting in ArcGIS Pro
- Spatial Analysis- Creating composite indices using health data; hot spot analysis on crime data
- Machine Learning & AI - Spatial regression tools
- Modeling & Scripting - Show example Notebooks
- Sharing & collaboration
14:00
Hands-on exercise
Ms. Kate Hess, Solution Engineer, Official Statistics, Esri (remote)
- Demo and break for participants to follow the instructions in the learn lesson, with in-room/virtual support.
15:30
Discussion
16:05