As artificial intelligence rapidly advances, how do we assess whether these systems are truly effective, ethical, and safe? Evaluation methods need to evolve beyond straightforward accuracy metrics to ...

How an excessive focus on methods has distracted attention from the more fundamental challenge of building rigor and learning ...

This 25-page handbook is written in a question-and-answer style and is a good starting point in understanding M&E. It provides an overview of some of the basic questions of project monitoring and ...

The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.

Over the last decade, philanthropy has undergone a sea change. As foundations increasingly acknowledge the centuries of systematic and institutional racism that have led to intergenerational trauma, ...

Evaluating teaching effectively requires thoughtful alignment with evidence-based practices and the inclusion of diverse perspectives. The Center for Teaching & Learning (CTL) supports departments and ...