Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design. - Faidra Georgia Monachou; Itai Ashlagi (NeurIPS, 2019)

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness. - Jessie Finocchiaro; Roland Maio; Faidra Monachou; Gourab K. Patro; Manish Raghavan; Ana-Andreea Stoica; Stratis Tsirtsis (FAccT, 2021)

Standardized Tests and Affirmative Action: The Role of Bias and Variance. - Nikhil Garg 001; Hannah Li; Faidra Monachou (FAccT, 2021)

Counterbalancing Learning and Strategic Incentives in Allocation Markets. - Jamie Kang; Faidra Monachou; Moran Koren; Itai Ashlagi (NeurIPS, 2021)

Optimal Dynamic Allocation: Simplicity through Information Design. - Itai Ashlagi; Faidra Georgia Monachou; Afshin Nikzad (EC, 2021)

Novel practices and highlights from the Fourth Workshop on Mechanism Design for Social Good. - Francisco J. Marmolejo Cossío; Faidra Monachou (AI Matters, 2021)

Fairness and equity in resource allocation and decision-making: an annotated reading list. - Faidra Monachou; Ana-Andreea Stoica (SIGecom Exch., 2022)

Online Platforms and the Fair Exposure Problem under Homophily. - Jakob Schoeffer; Alexander Ritchie; Keziah Naggita; Faidra Monachou; Jessica Finocchiaro; Marc Juarez (AAAI, 2023)

Optimal Cohort Partitions. - Sofoklis Goulas; Faidra Monachou (EC, 2024)

Why the Rooney Rule Fumbles: Limitations of Interview-stage Diversity Interventions in Labor Markets. - Setareh Farajollahzadeh; Soonbong Lee; Vahideh Manshadi; Faidra Monachou (EC, 2025)