AI is revolutionizing how organizations collect, analyze, and act on data in impact measurement and evaluation. By leveraging machine learning algorithms and predictive analytics, AI enables:
Faster Data Collection – Automate surveys and gather real-time insights.
Smarter Analysis – Detect trends, patterns, and sentiments for better decision-making.
Greater Accuracy – Reduce human error and enhance data reliability.
Ethical Challenges – Address inclusivity, bias, and responsible AI use.
Sessions Overview
Introduction to AI in Impact Measurement
Overview of AI’s role in MEL, key opportunities & challenges.
March 20 ✔
AI-Powered Data Collection & Analysis
How AI enhances real-time data collection & decision-making.
March 27 ✔
Ethics & Inclusivity in AI Adoption
Addressing fairness, bias, and the digital divide.
April 3 ✔
Future of AI in Impact Evaluation
Emerging trends and tools for MEL practitioners.
April 10
Our Speakers for this Session
Valentine Joseph Gandhi
Senior Evaluation, Innovation and Tech4Good specialist
Zach Tilton
Ealuation specialist with The MERL Tech Initiative
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