Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience LJ Chang, E Jolly, JH Cheong, KM Rapuano, N Greenstein, PHA Chen, ... Science Advances 7 (17), eabf7129, 2021 | 151 | 2021 |
A meta-analysis of 46 career pathways impact evaluations LR Peck, D Schwartz, J Strawn, CC Weiss, R Juras, SM de la Rosa, ... Report prepared for the US Department of Labor, Chief Evaluation Office …, 2021 | 13 | 2021 |
Ethics & Equity in Data Science for Evaluators N Greenstein, SW Cho Artificial Intelligence and Evaluation. Emerging Technologies and Their …, 2025 | 8 | 2025 |
Recovering individual emotional states from sparse ratings using collaborative filtering E Jolly, M Farrens, N Greenstein, H Eisenbarth, MC Reddan, E Andrews, ... Affective Science 3 (4), 799-817, 2022 | 2 | 2022 |
Machine Learning in Workforce Development Research: Lessons and Opportunities S Mills De La Rosa, US DOL, N Greenstein, US DOL, D Schwarts, ... https://www. dol. gov/sites/dolgov/files/OASP/evaluation/pdf/Machine …, 2021 | 1 | 2021 |
Using New Research Methods to Identify Implementation Lessons: Machine Learning in Career Pathways Research S Mills, N Greenstein, D Schwartz 2020 APPAM Fall Research Conference, 2020 | | 2020 |
Enhancing Evidence-Based Program Design: Preliminary Evidence from a Meta-Analysis of 45 Career Pathways Programs L Peck, C Weiss, R Juras, S Mills, T Morris, N Greenstein, D Schwartz 2020 APPAM Fall Research Conference, 2020 | | 2020 |
Machine Learning in Workforce Development Research: Lessons and Opportunities SM De La Rosa, N Greenstein, D Schwartz | | |