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Nathan Greenstein
Nathan Greenstein
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Year
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
1512021
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
132021
Ethics & Equity in Data Science for Evaluators
N Greenstein, SW Cho
Artificial Intelligence and Evaluation. Emerging Technologies and Their …, 2025
82025
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
22022
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
12021
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
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