Learning
Master Class 2033–4 Hours

Local Development Tracking with Big Data and AI

Objective

Assess how sub-national governments perform on Prosperity, Livability (including climate exposure), and Infrastructure (roads, rail, energy, water, health, education, digital). Use big data and AI to surface insights, gaps, and priorities for local jobs, revenue mobilization, market-based finance, and stronger public investment outcomes.

At a Glance

Format

3–4 Hours

Audience

National & sub-national clients, Task Teams

Level

Intermediate — applied

Tools

pim-pam.net GPB · LDT · AI SWOT

Agenda

08:45 – 09:00

Welcome & Framing

Why local development tracking matters; objectives and structure of the day.

Chair

09:00 – 09:15

1. Local Government Data Challenge

Administrations of different sizes and shifting boundaries; gaps in traditional administrative and statistical series.

WBG Lead

09:15 – 09:20

InfraGov 2.0 and the Special Challenge of Local Investments

Highlight the interests of national Ministries of Finance versus Local Governments to improve investments, including with a line of sight to jobs creation

09:20 – 09:25

Short video on pim-pam.net GPB tools

Why these tools, what do they cover, how can they be applied…

09:25 – 09:50

2. Local Strategy Challenge

Variable quality and vintage of local development strategies; weak line-of-sight to jobs and outcomes.

WBG Economist

09:50 – 10:25

3. GPB & the PIL Baseline

Applying the pim-pam.net Geospatial Planning & Budgeting tool to build a Prosperity, Livability & Infrastructure baseline.

WBG + Partner

10:25 – 10:40

Coffee Break

Networking and informal Q&A.

10:40 – 11:15

4. AI SWOT on Local Strategies

AI processing of Local Development Strategy documents against the PIL baseline to yield national and local SWOT.

Knowledge Partner

11:15 – 11:45

5. Local Jobs Trends

Linking big data to administrative and statistical sources to generate jobs trends insights — ECA / Serbia illustration.

WBG Poverty & Jobs Economist

11:45 – 12:25

6. Client Engagement with LDT

Using GPB LDT tools with national and sub-national clients to shape ASA products and operational design.

WBG + Partner

12:25 – 12:45

7. Synthesis & Q&A

Key takeaways, open discussion, and pathways for follow-on engagement.

Chair

Participants Will Leave Able To

  • Build a PIL baseline for any sub-national geography in GPB
  • Run an AI SWOT against local strategy documents
  • Read local jobs trends from combined big-data and admin sources

Delivered By

World Bank Group staff, in collaboration with external experts and knowledge partners.

AI for smarter public investment and asset governance

Open-source AI tools and curated data for ministries of finance, PIM practitioners, and peer-learning networks.