Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics. - Donald Martin Jr.; Vinodkumar Prabhakaran; Jill Kuhlberg; Andrew Smart; William S. Isaac (CoRR, 2020)

Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context. - Donald Martin Jr.; Vinodkumar Prabhakaran; Jill Kuhlberg; Andrew Smart; William S. Isaac (CoRR, 2020)

Advancing Community Engaged Approaches to Identifying Structural Drivers of Racial Bias in Health Diagnostic Algorithms. - Jill A. Kuhlberg; Irene Headen; Ellis A. Ballard; Donald Martin Jr. (CoRR, 2023)

Causal Theories and Structural Data Representations for Improving Out-of-Distribution Classification. - Donald Martin Jr.; David Kinney (CoRR, 2023)

SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models. - Emmanuel Klu; Sameer Sethi; DJ Passey; Donald Martin Jr. (CoRR, 2023)

Towards Geo-Culturally Grounded LLM Generations. - Piyawat Lertvittayakumjorn; David Kinney; Vinodkumar Prabhakaran; Donald Martin Jr.; Sunipa Dev (CoRR, 2025)

SYMBIOSIS: Systems Thinking and Machine Intelligence for Better Outcomes in Society. - Sameer Sethi; Donald Martin Jr.; Emmanuel Klu (CoRR, 2025)