Post-hoc interpretability methods are critical tools to explain neural-network results. Several post-hoc methods have emerged in recent years but they produce different results when applied to a given ...

Dimension reduction (DR) algorithms have emerged as critical tools that allow scientists to gain insight into high-dimensional data. DR algorithms map high-dimensional data to a low-dimensional ...

Individuals from the Evaluation Working Group within the Action Collaborative on Preventing Sexual Harassment in Higher Education will explore methods and approaches to evaluating interventions ...

Student evaluation of teaching (SET) is widely used to measure the quality of teaching, and often controversially, for teacher recruitment, promotion and tenure. Institution-led SET is largely ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

The social sector generally considers leadership development a good investment, especially when it comes to cultivating systems-level change. But ask leadership program developers and evaluators, ...

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 ...

Learn how to design impact evaluations more effectively using a contribution analysis approach with our five-day in-person specialist training course. Many development programmes have overlapping ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Spencer Judge discusses the architectural ...