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ORCIDEAAMO 2021: Virtual Event, USA
- EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5 - 9, 2021. ACM 2021, ISBN 978-1-4503-8553-4
- C. Malik Boykin, Sophia T. Dasch
, Vincent Rice Jr., Venkat R. Lakshminarayanan, Taiwo A. Togun, Sarah M. Brown:
Opportunities for a More Interdisciplinary Approach to Measuring Perceptions of Fairness in Machine Learning. 1:1-1:9 - Lucius Bynum, Joshua R. Loftus, Julia Stoyanovich:
Disaggregated Interventions to Reduce Inequality. 2:1-2:13 - Javier Cembrano, José Correa, Gonzalo Díaz, Victor Verdugo:
Proportional Apportionment: A Case Study From the Chilean Constitutional Convention. 3:1-3:9 - A. Feder Cooper, Karen Levy, Christopher De Sa:
Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML Systems. 4:1-4:11 - Alex DiChristofano, Michael L. Hamilton, Sera Linardi, Mara F. McCloud:
Project 412Connect: Bridging Students and Communities. 5:1-5:12 - Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg:
The Stereotyping Problem in Collaboratively Filtered Recommender Systems. 6:1-6:10 - Matan Halevy, Camille Harris, Amy S. Bruckman, Diyi Yang, Ayanna M. Howard:
Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework. 7:1-7:11 - Joy Hsu, Ramya Ravichandran, Edwin Zhang, Christine Keung:
Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments. 8:1-8:8 - Devansh Jalota, Kiril Solovey, Karthik Gopalakrishnan, Stephen Zoepf, Hamsa Balakrishnan, Marco Pavone:
When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes. 9:1-9:11 - Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Hamid Abdullah, Divy Thakkar, Dhyanesh Narayanan, Milind Tambe:
Measuring Data Collection Diligence for Community Healthcare. 10:1-10:12 - Zhi Liu, Nikhil Garg:
Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps. 11:1-11:13 - Edwin Lock, Francisco Javier Marmolejo Cossío, Jakob Jonnerby, Ninad Rajgopal, Héctor Alonso Guzmán-Gutiérrez, Luis Alejandro Benavides-Vázquez, José Roberto Tello-Ayala, Philip Lazos:
Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19✱. 12:1-12:9 - Julia Nee, Genevieve Macfarlane Smith, Alicia Sheares, Ishita Rustagi:
Advancing social justice through linguistic justice: Strategies for building equity fluent NLP technology. 13:1-13:9 - Julian Nyarko, Sharad Goel, Roseanna Sommers:
Breaking Taboos in Fair Machine Learning: An Experimental Study. 14:1-14:11 - Sebastian Perez-Salazar, Alfredo Torrico, Victor Verdugo:
Preserving Diversity when Partitioning: A Geometric Approach. 15:1-15:11 - Adam Rumpf, Hemanshu Kaul:
A Public Transit Network Optimization Model for Equitable Access to Social Services. 16:1-16:17 - Harini Suresh, John V. Guttag:
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle. 17:1-17:9 - Oliver Thomas, Miri Zilka, Adrian Weller, Novi Quadrianto:
An Algorithmic Framework for Positive Action. 18:1-18:13 - Briana Vecchione, Karen Levy, Solon Barocas:
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies. 19:1-19:9
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