Evaluation and Assessment Capability (EAC) supports NSF decision makers by studying programs and activities and their impact on the people who participate in and benefit from NSF investments. EAC also provides centralized resources and guidance for data collection, analysis, evaluation design, surveys, and enterprise analytics. EAC engages stakeholders in identifying learning priorities which drive a broad portfolio of projects that use qualitative and quantitative methods, from simple descriptive analysis to advances in modeling, network analysis, and machine learning.

This fact sheet summarizes postsecondary enrollment and graduation outcomes of 5,088 REU students who participated in an REU Site in either 2013 or 2014 and were matched to National Student Clearinghouse data 7-8 years after program participation. Fact Sheet (PDF, 1.12 MB)

This report describes survey findings on PI's and Reviewers' satisfaction with the NSF merit review process, including their perceptions of quality, fairness, and burden; drawing information from over 17,000 individuals who shared their experiences submitting or reviewing proposals during Fiscal Year (FY) 2019 and 2020. Full Report (PDF, 4.33 MB)