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2020 – today
- 2024
[j1]Diego Kozlowski, Thema Monroe-White, Vincent Larivière, Cassidy R. Sugimoto:
The Howard-Harvard effect: Institutional reproduction of intersectional inequalities. J. Assoc. Inf. Sci. Technol. 75(8): 869-882 (2024)- [c7]Faye-Marie Vassel, Evan Shieh
, Cassidy R. Sugimoto, Thema Monroe-White:
The Psychosocial Impacts of Generative AI Harms. AAAI Spring Symposia 2024: 440-447 - [c6]Thema Monroe-White, Ebony Mcgee:
The Critical Role of Race-related Stress and Racial Activism on STEM Graduate Students' Career Aspirations: An Intersectional Perspective. HICSS 2024: 7080-7089 - [e1]Sam Zaza, Cindy K. Riemenschneider, Indira R. Guzman, May Bantan, Thema Monroe-White, Rui Sundrup, Nita Brooks, Jason A. Williams, Dongwon Lee:
Proceedings of the 2024 Computers and People Research Conference, SIGMIS-CPR 2024, Murfreesboro, TN, USA, 29 May 2024- 1 June 2024. ACM 2024 [contents] - [i4]Diego Kozlowski, Thema Monroe-White, Vincent Larivière, Cassidy R. Sugimoto:
The Howard-Harvard effect: Institutional reproduction of intersectional inequalities. CoRR abs/2402.04391 (2024) - [i3]Evan Shieh, Faye-Marie Vassel, Cassidy R. Sugimoto, Thema Monroe-White:
Laissez-Faire Harms: Algorithmic Biases in Generative Language Models. CoRR abs/2404.07475 (2024) - [i2]Faye-Marie Vassel, Evan Shieh, Cassidy R. Sugimoto, Thema Monroe-White:
The Psychosocial Impacts of Generative AI Harms. CoRR abs/2405.01740 (2024) - 2022
- [c5]Thema Monroe-White, Brandeis Marshall, Hugo Contreras-Palacios:
Social Exclusion in Data Science: A Critical Exploration of Disparate Representation in Higher Education. AMCIS 2022 - 2021
- [c4]Thema Monroe-White, Brandeis Marshall, Hugo Contreras-Palacios:
Waking up to Marginalization: Public Value Failures in Artificial Intelligence and Data Science. AIDBEI 2021: 7-21 - [c3]Thema Monroe-White:
Emancipatory Data Science: A Liberatory Framework for Mitigating Data Harms and Fostering Social Transformation. SIGMIS-CPR 2021: 23-30 - [i1]Diego Kozlowski, Dakota S. Murray, Alexis Bell, Will Hulsey, Vincent Larivière, Thema Monroe-White, Cassidy R. Sugimoto:
Avoiding bias when inferring race using name-based approaches. CoRR abs/2104.12553 (2021)
2010 – 2019
- 2015
- [c2]Elizabeth A. Nilsen, Victoria Matthew, Mary Besterfield-Sacre, Thema Monroe-White:
Landscape analysis as a tool in the curricular change process. FIE 2015: 1-7 - [c1]Elizabeth A. Nilsen, Victoria Matthew, Mary Besterfield-Sacre, Thema Monroe-White:
Taking stock: Using a landscape inventory to drive curriculum and program change. FIE 2015: 1-4
Coauthor Index
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