Explore a systems change approach for data science and AI solutions in this 27-minute conference talk by Jake Porway, PhD, a pioneer of the Data for Good movement. Delve into Datakinds mission, early results, and lessons learned from collaborative projects. Examine the importance of data quality and the principle of building with, not for, communities. Gain insights on remote volunteering opportunities and discover how to leverage data science for positive social impact. Learn from real-world examples and practical strategies to create meaningful change through data-driven initiatives.
Creating a Systems Change Approach for Data Science AI Solutions
Overview
Syllabus
Introduction
Welcome
Datakinds mission
Learning from each other
Early results
Gripmatic Mobile
Data Quality
Summary
Data
Build with Not for
Questions
Remote Volunteering
Taught by
Open Data Science
