UN AI in Evaluation Case Studies

Led by the Washington Evaluators, March 18th, 11:00am-12:00pm ET

Event Description:

Discover how Generative AI is revolutionizing evaluation practices through real-world applications at the UN. This workshop provides a hands-on approach to leveraging AI tools for analyzing data, uncovering insights, and scaling evaluations efficiently and effectively. 

Participants will explore the following case studies from the UN:  

• AI Interview Transcript Analysis: Learn how AI analyzed 50 interview transcripts for UNHCR, generating actionable insights through thematic and segment-specific analysis. 

• AI Avatar Interviewer: See how AI avatars conducted 50 interviews in 2 days, enabling culturally sensitive, multilingual data collection with unprecedented speed and depth. 

• AI Document Review: Understand how AI analyzed 700 management responses/ survey responses across 160 evaluation reports in 5 languages for UNICEF, identify key barriers and enablers  

Through a step-by-step tutorial, attendees will gain practical skills to use AI for analyzing interview transcripts, survey responses, and reports, and even create AI avatar interviewers tailored to their needs.

Moderator: Quisha Brown, Author of "Using the Progressive Outcomes Scale Logic Model (POSLM) to Calculate SROI"

Speaker: James Goh is the Founder and CEO of AILYZE, an AI consultancy that provides cutting-edge solutions for evaluation teams, including an online AI tool on www.ailyze.com . He has led multiple data science and evaluation projects for development organizations such as Dalberg, ID Insight, and One Acre Fund. With a master’s degree in data, economics, and development policy from MIT, James specializes in leveraging AI to drive innovation in the development sector.