Landscape analysis as a tool in the curricular change process. - Elizabeth A. Nilsen; Victoria Matthew; Mary Besterfield-Sacre; Thema Monroe-White (FIE, 2015)

Taking stock: Using a landscape inventory to drive curriculum and program change. - Elizabeth A. Nilsen; Victoria Matthew; Mary Besterfield-Sacre; Thema Monroe-White (FIE, 2015)

Waking up to Marginalization: Public Value Failures in Artificial Intelligence and Data Science. - Thema Monroe-White; Brandeis Marshall; Hugo Contreras-Palacios (AIDBEI, 2021)

Emancipatory Data Science: A Liberatory Framework for Mitigating Data Harms and Fostering Social Transformation. - Thema Monroe-White (SIGMIS-CPR, 2021)

Avoiding bias when inferring race using name-based approaches. - Diego Kozlowski; Dakota S. Murray; Alexis Bell; Will Hulsey; Vincent Larivière; Thema Monroe-White; Cassidy R. Sugimoto (CoRR, 2021)

Social Exclusion in Data Science: A Critical Exploration of Disparate Representation in Higher Education. - Thema Monroe-White; Brandeis Marshall; Hugo Contreras-Palacios (AMCIS, 2022)

The Psychosocial Impacts of Generative AI Harms. - Faye-Marie Vassel; Evan Shieh; Cassidy R. Sugimoto; Thema Monroe-White (AAAI Spring Symposia, 2024)

The Critical Role of Race-related Stress and Racial Activism on STEM Graduate Students' Career Aspirations: An Intersectional Perspective. - Thema Monroe-White; Ebony Mcgee (HICSS, 2024)

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models. - Evan Shieh; Faye-Marie Vassel; Cassidy R. Sugimoto; Thema Monroe-White (CoRR, 2024)

The Howard-Harvard effect: Institutional reproduction of intersectional inequalities. - Diego Kozlowski; Thema Monroe-White; Vincent Larivière; Cassidy R. Sugimoto (J. Assoc. Inf. Sci. Technol., 2024)

Model AI Assignments 2025. - Todd W. Neller; Rasika Bhalerao; Eun Kyung Ko; Vishodana Thamotharan; Lisa Zhang; Sonya Allin; Mahdi Haghifam; Michael Pawliuk; Rutwa Engineer; Florian Shkurti; Cunyan Ma; Daniella DiPaola; et al. (AAAI, 2025)