Evaluation and Assessment Capability
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.
Featured Evaluations and Studies
Convergence Accelerator Summary Report: Descriptive Characteristics from 2019 to 2021
This report provides descriptive statistics on applicants, grantees, and projects for the 2019, 2020, and 2021 cohorts in the Convergence Accelerator program using NSF administrative data.
Study of the Established Program to Stimulate Competitive Research (EPSCoR)
This report presents an exploratory analysis of academic research excellence and competitiveness for EPSCoR using a variety of publicly available data sources. |
NSF Rotator Study: Analysis of the Impact of IPAs on NSF Strategic Goals
Anti-Harassment Policy, Guidelines, and Communications
This report investigates and responds to questions in NSF's learning agenda related to recent anti-harassment policies to promote safe, harassment-free environments for the practice of science. | |