Day 2 Agenda Tuesday, 21 Jan 2025
Setting the Stage
Format: Plenary Session + Reflection Roundtables
Objectives:
- Frame the goals of the symposium's technical segment.
- Highlight regional and local contexts, and opportunities and challenges for adopting AI and data science for the production of economic statistics.
Opening Remarks: "Objectives of the Technical Segment", Ronald Jansen, UNSD
Presentation + Q&A: "Developing a Phased Roadmap for the Adoption of AI and Data Science in Official Statistics", Wesley Yung, Statistics Canada Presentation
Reflection Roundtables: Expectations and actionable priorities
Reporting Back
Expected Outcomes: A list of key priorities and actionable steps for participants' respective organizations.
Practical use cases: Experiences in adapting and adopting AI/Data science solutions for statistical production
Format: Lightning talks + Interactive gallery walk
Objectives:
- Participants share their own experiences and use cases, establishing the relevance to specific phases of the Generic Statistical Business Process Model (GSBPM).
Introduction
Lightning Talks
Short presentations:
- Mr. Ivan Murenzi, Chief Statistician, NISR, Rwanda
- Prof. Setia Pramana, Director of Regional Hub in Indonesia Presentation
- Mr. Hadi Susanto, BPS Indonesia Presentation
- Mr. Barteld Braaksma, Statistics Netherlands
Interactive gallery walk
Concluding remarks
Expected Outcomes: A set of documented use cases to be referenced in the playbook.
Understanding priority needs and identifying challenges and opportunities to leverage AI and data science in statistical production
Format: Mapping exercise
Participants identify and categorize key elements related to a specific topic (e.g., skills, challenges, needs). A matrix or template is used to visually map connections and identify gaps, guiding participants to reflect on inter-dependencies or current vs. desired states
Objectives:
- Identify immediate / short-term priority needs, opportunities, and capacity constraints in adopting AI and data science for statistical production.
- Understand opportunities for leveraging AI and data science to achieve efficiency gains and responding to emerging user needs.
Guided discussion
Expected Outcomes: A visual map of identified needs, opportunities, and constraints.
Playbook on Data Science for Official Statistics (Sections I and II)
Format: Interactive gallery walk with dot voting + guided brainstorming in breakout groups
Objectives:
- Review and discuss relevance of use cases and visual maps of needs, opportunities and constraints for Sections I and II of the playbook.
- Gather feedback and suggestions for improvement.
Interactive gallery walk with dot voting
Guided brainstorming in breakout groups
Plenary discussion
Expected Outcomes: Consensus on key points to include in the playbook sections.