WEBINAR 2 12 Dec 2024 Download report
This AI and Data Science Sprint for Economic Statistics plays an important role in the ongoing efforts of the statistical community to integrate advanced data science techniques within the framework of national and international statistical systems. By highlighting successful use cases and discussing the strategic integration of new technologies, the sprint will help in shaping the future of economic statistics production. This Sprint will also be an important step in the further development of the Data Science Leadership Network playbook and seeks to empower NSOs with cutting-edge tools and methodologies for statistical production.
The sprint has four main objectives: (1) Present a series of impactful AI and data science projects in statistical production utilizing reproducible analytical pipelines; (2) Present AI and data science projects for the compilation of economic indicators to inform economic policies; (3) Present the possible use of generative AI technologies for the dissemination and interpretation of statistics; and (4) Address strategic and cross-cutting issues.
Recording of Main Session (incl Session 3)
Recording of Parallel Session 4
Session 1
Welcome and Opening Remarks
Stefan Schweinfest, Director, United Nations Statistics Division
Osama Rahman, Chair of the UN Data Science Leaders Network
Opening remarks and objectives of the meeting
Session 2
Introduction and overview of AI and Data Science for Official Statistics
Moderator: Mohammad Hassan, Director, FCSC, UAE
- Use of Artificial Intelligence and Large Language Models in Official Statistics and Authoritative Geospatial Data - Inkyung Choi, UNECE Presentation
- Roadmap to the Adoption of AI - Wesley Yung, Statistics Canada Presentation
- Q&A
07:50 Session 3 - Room 1 Watch Recording
Generative AI and Data Science initiatives in statistical production
Moderator: Francesca Kay, CSO Ireland
- Guidelines of AI-Ready Data - Victoria Houed, US Department of Commerce Presentation
- ClassifAI for classifying free text to a statistical classification - Mat Weldon, ONS, UK Presentation
- Knowledge Networks: CALIPER deployment - Carola Fabi, FAO Presentation
- 10 minutes break
- Leveraging Open-Source Language Models for Automatic Codification of Employment and Economic Activity in Household Surveys - Alejandro Pimentel, Deputy Director of Research in Data Science, INEGI, Mexico Presentation
- Generative AI and official statistics: the project of the UNECE High-Level Group for the Modernisation of Official Statistics - Vytas Vaiciulis (CSO Ireland) and Olivier Sirello (BIS) Presentation
- Wrap up
07:50 Session 4 - Room 2 Watch Recording
Generative AI technologies for the dissemination and interpretation of statistics
Moderator: Luis Gonzalez, UNSD
- "Talk to the manuals" - Michael Stanger, IMF Presentation
- IntelliStatcan: Gen-AI chatbot for obtaining statistical information - Milana Karaganis, Statistics Canada Presentation
- Automatic Generation of Informative Documents Based on Official Statistics - Amado Esquer, Chief of Research in Data Science, and Elio Villasenor, Director, Data Science Lab, INEGI, Mexico Presentation
- 10 minutes break
- Building Trust in AI: Statistics Canada's Framework for Responsible and Ethical Governance - Christos Sarakinos, Statistics Canada Presentation
- Wrap up
Session 5
Applicability, Challenges, Skills, Direction - Plenary discussion
Moderator: Ronald Jansen, Assistant Director, UNSD
Panelists:
- Mohammad Hassan, Director, FCSC, UAE
- Francesca Kay, CSO Ireland
- Luis Gonzalez, UNSD