Solving Public Problems with Data
A Series of Online Lectures by Leading Experts from the Governance Lab
Practical information:
Online
English
Target audience: Researchers
Georganiseerd door:
Some of the lectures
- Machine Learning Applications for the Public Sector – Gideon Mann
- Introduction to Evidence-Based Decision-Making: Examples in Economic Development – Quentin Palfrey
- Data Analytical Thinking and Methods I: How to Define a Research Question and Introduction to Statistical Approaches to Draw Interference – Julia Lane
- Data Analytical Thinking and Methods II: Correlation, Causation and Decision-Making – Daniel Goroff
- Discovering and Collecting Data: Practical Advice for Government Managers- Carter Hewgley
- Platforms and Where to Store the Data? – Arnaud Sahuguet
- Barriers to Building a Data Practice in Government – Beth Blauer
- Data Collaboratives: Creating Public Value by Exchanging Data – Stefaan Verhulst
- Strengthening a Data Analytical Culture – Amen Ra Mashariki