{"id":78,"date":"2018-04-24T09:44:56","date_gmt":"2018-04-24T09:44:56","guid":{"rendered":"https:\/\/chato.cl\/science\/discrimination_bias\/"},"modified":"2026-04-21T11:52:24","modified_gmt":"2026-04-21T09:52:24","slug":"algorithmic_fairness","status":"publish","type":"page","link":"https:\/\/chato.cl\/science\/algorithmic_fairness\/","title":{"rendered":"Algorithmic Fairness"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Tutorials and talks (current)<\/h2>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-f66f9956 wp-block-group-is-layout-flex\">\n<ul class=\"wp-block-list\">\n<li class=\"\"><a href=\"https:\/\/docs.google.com\/presentation\/d\/1LBRY-RhsxDjqN2Omgyt91Rjheb84QS4s\/edit?slide=id.p1#slide=id.p1\" data-type=\"link\" data-id=\"https:\/\/docs.google.com\/presentation\/d\/1LBRY-RhsxDjqN2Omgyt91Rjheb84QS4s\/edit?slide=id.p1#slide=id.p1\"><strong>Fairness, Accountability, Transparency and Ethics of Algorithmic Hiring<\/strong><\/a>. Masterclass prepared with the FINDHR Project, 2025.<\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/docs.google.com\/presentation\/d\/1lnEkwOBT5wpbC_gEd1XKIjbh9LiYyg3iKihYmtGef1M\/edit#\" data-type=\"link\" data-id=\"https:\/\/docs.google.com\/presentation\/d\/1lnEkwOBT5wpbC_gEd1XKIjbh9LiYyg3iKihYmtGef1M\/edit#\"><strong>Human factors and algorithmic fairness<\/strong><\/a>. Keynote at 2024 European Conference on Information Retrieval (ECIR).<\/li>\n\n\n\n<li class=\"\"><strong><a href=\"https:\/\/docs.google.com\/presentation\/d\/1iRrXatWfSTbUNo9FuWuCLZ73YYiN8pP8Dr0tl549TEo\/edit#\">Disparate effects of recommender systems<\/a><\/strong>. Invited talk at 2022 ACM-W Greece Winter School based on PhD work of David Solans and Francesco Fabbri.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image alignright size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/chato.cl\/science\/wp-content\/uploads\/2026\/01\/FINDHR-Illustration-Candidate_and_recruiter-1024x1024.jpg\" alt=\"Candidate and recruiter\" class=\"wp-image-519\" style=\"width:214px;height:auto\" srcset=\"https:\/\/chato.cl\/science\/wp-content\/uploads\/2026\/01\/FINDHR-Illustration-Candidate_and_recruiter-1024x1024.jpg 1024w, https:\/\/chato.cl\/science\/wp-content\/uploads\/2026\/01\/FINDHR-Illustration-Candidate_and_recruiter-300x300.jpg 300w, https:\/\/chato.cl\/science\/wp-content\/uploads\/2026\/01\/FINDHR-Illustration-Candidate_and_recruiter-150x150.jpg 150w, https:\/\/chato.cl\/science\/wp-content\/uploads\/2026\/01\/FINDHR-Illustration-Candidate_and_recruiter-768x768.jpg 768w, https:\/\/chato.cl\/science\/wp-content\/uploads\/2026\/01\/FINDHR-Illustration-Candidate_and_recruiter-1536x1536.jpg 1536w, https:\/\/chato.cl\/science\/wp-content\/uploads\/2026\/01\/FINDHR-Illustration-Candidate_and_recruiter.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h2 class=\"wp-block-heading\" id=\"risk-assessment\">Risk Assessment of Criminal Recidivism (2021-present)<\/h2>\n\n\n\n<p class=\"\">Work led by PhD student Marzieh Karimi-Haghighi with Song\u00fcl Tolan, Marius Miron, Emilia Gomez.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Manuel Portela, Carlos Castillo, Song\u00fcl Tolan, Marzieh Karimi-Haghighi, Antonio Andres Pueyo. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/portela_2022_hci_human_predictions_risk_assessment_algorithm_interaction.pdf\">A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment<\/a>. Artificial Intelligence and Law. Springer, 2024. [<a href=\"https:\/\/doi.org\/10.1007\/s10506-024-09393-y\">doi<\/a>|<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10506-024-09393-y\">springer<\/a>|<a href=\"https:\/\/arxiv.org\/abs\/2201.11080\">preprint<\/a>]<\/li>\n\n\n\n<li class=\"\">Marzieh Karimi-Haghighi, Carlos Castillo, Song\u00fcl Tolan, Kristian Lum: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/karimi_haghighi_2023_conditional_release_recidivism_causal.pdf\">Effect of Conditional Release on Violent and General Recidivism: A Causal Inference Study<\/a>. Journal of Experimental Criminology. Springer, 2023. [<a href=\"https:\/\/doi.org\/10.1007\/s11292-023-09596-4\">doi<\/a>|<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11292-023-09596-4\">springer<\/a>]<\/li>\n\n\n\n<li class=\"\">Marzieh Karimi-Haghighi, Carlos Castillo: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/karimi_2021_riscanvi_machine_learning_recidivism.pdf\">Enhancing a recidivism prediction tool with machine learning: effectiveness and algorithmic fairness<\/a>. ICAIL 2021 (Short papers), pp. 210-214, 2021. [<a href=\"https:\/\/doi.org\/10.1145\/3462757.3466150\">acm<\/a>].<\/li>\n\n\n\n<li class=\"\">Marzieh Karimi-Haghighi, Carlos Castillo: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/karimi_haghighi_castillo_2021_efficiency_fairness_temporal_recurring.pdf\">Efficiency and Fairness in Recurring Data-Driven Risk Assessments of Violent Recidivism<\/a>. In Proc. of SIGAPP Symposium on Applied Computing (SAC), pp. 994-1002, ACM Press, 2021. [<a href=\"https:\/\/doi.org\/10.1145\/3412841.3441975\">doi<\/a>|<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3412841.3441975\">acm<\/a>]<\/li>\n\n\n\n<li class=\"\">Marius Miron, Song\u00fcl Tolan, Emilia Gomez, Carlos Castillo: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/miron_tolan_gomez_castillo_2020_algorithmic_bias_recidivism_juvenile.pdf\">Evaluating causes of algorithmic bias in juvenile criminal recidivism<\/a>. Journal on Artificial Intelligence and Law, Springer, 2020. [<a href=\"https:\/\/doi.org\/10.1007\/s10506-020-09268-y\">doi<\/a>]<\/li>\n\n\n\n<li class=\"\">Marius Miron, Song\u00fcl Tolan, Emilia Gomez, Carlos Castillo: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/miron_tolan_gomez_castillo_2019_machine_learning_risk_assessment_savry.pdf\">Why Machine Learning May Lead to Unfairness: Evidence from Risk Assessment for Juvenile Justice in Catalonia<\/a>. In Proc. of International Conference on Artificial Intelligence and Law (ICAIL), Montr\u00e9al, Canada, pp. 83-92. ACM Press, 2019. [<a href=\"http:\/\/chato.cl\/slides\/IJCAIL_2019_why_machine_learning_unfairness.pdf\">slides<\/a>|<a href=\"https:\/\/dl.acm.org\/authorize?N680231\">acm<\/a>] <strong style=\"color: #000066;\">Best paper award.<\/strong><\/li>\n<\/ul>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Algorithmic Hiring (2025-present)<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\"><strong>Daviet, M., Mueller, A., Baranowska, N., Meijers, G., Rus, C., Castillo, C., Saldivar, J., Gatzioura, A. (2025) <a href=\"https:\/\/findhr.eu\/toolkit\/\">Just Hiring! FINDHR Toolkit<\/a>. Three-part toolkit (#1 <a href=\"https:\/\/findhr.eu\/toolkit\/policy-makers\/\">For policymakers<\/a>; #2 <a href=\"https:\/\/findhr.eu\/toolkit\/hr-professionals\/\">For HR professionals<\/a>; #3 <a href=\"https:\/\/findhr.eu\/toolkit\/developers\/\">For developers<\/a>).<\/strong><\/li>\n\n\n\n<li class=\"\">Alessandro Fabris, Clara Rus, Jorge Saldivar, Anna Gatzioura, Asia Biega, Carlos Castillo. <a href=\"https:\/\/chato.cl\/papers\/fabris_2025_ranking_recruitment_fairness.pdf\" data-type=\"link\" data-id=\"https:\/\/chato.cl\/papers\/fabris_2025_ranking_recruitment_fairness.pdf\" class=\"paper\">Does fair ranking lead to fair recruitment outcomes? A study of interventions, interfaces, and interactions<\/a>. Information Processing and Management 63(3), April 2026. Elsevier. [<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0306457325004479\" data-type=\"link\" data-id=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0306457325004479\">elsevier<\/a>|<a href=\"https:\/\/doi.org\/10.1016\/j.ipm.2025.104506\">doi<\/a>|<a href=\"https:\/\/zenodo.org\/records\/17780217\">dataset<\/a>].<\/li>\n\n\n\n<li class=\"\">Jorge Saldivar, Anna Gatzioura, Carlos Castillo: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/saldivar_gatzioura_2025_synthetic_cv_dataset.pdf\">Synthetic CVs To Build and Test Fairness-Aware Hiring Tools<\/a>. Pre-print [<a href=\"https:\/\/arxiv.org\/abs\/2508.21179\">arxiv<\/a>].<\/li>\n\n\n\n<li class=\"\">Jorge Saldivar, Jessica Wulf, Carlos Castillo. <a href=\"https:\/\/chato.cl\/papers\/saldivar_2025_data_donation_resume_cv_hiring_fairness.pdf\" class=\"paper\">Data Donation: A First Step Towards Improving Representativeness in Algorithmic Hiring Datasets<\/a>. Social Science Computer Review [<a href=\"https:\/\/doi.org\/10.1177\/08944393261441840\">doi<\/a>|<a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=5160523\">ssrn pre-print<\/a>].<\/li>\n\n\n\n<li class=\"\">Kiran Vinod Bhatia, Marianna Capasso, Payal Arora, Carlos Castillo, Jorge Saldivar. <a href=\"https:\/\/ssrn.com\/abstract=5048771\">Proxy Discrimination Risks in Hiring: A Qualitative Analysis of a Set of Real CVs<\/a>. Pre-print [<a href=\"https:\/\/ssrn.com\/abstract=5048771\">ssrn<\/a>]<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h2 class=\"wp-block-heading\" id=\"university-admissions\">University Admissions and Evaluation (2020-present)<\/h2>\n\n\n\n<p class=\"\">Work led by PhD students Francielle Marques and Marzieh Karimi-Haghighi, with Giorgio Barnabo, Corinna Hertweck, Michalis Mathioudakis, Davinia Hernandez-Leo, and Sergio Celis.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Francielle Marques, Davinia Hernandez-Leo, Carlos Castillo. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/marques_2025_bias_student_satisfaction_grades_learning.pdf\">Beyond bias in student satisfaction surveys: exploring the role of grades and satisfaction with the learning design<\/a>. Journal of New Approaches in Educational Research 14(9), 2025. [<a href=\"https:\/\/doi.org\/10.1007\/s44322-025-00030-3\">doi<\/a>]<\/li>\n\n\n\n<li class=\"\">Francielle Marques, Davinia Hernandez-Leo, Carlos Castillo. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/marques_2024_gender_bias_student_satisfaction.pdf\">Measuring gender bias in student satisfaction in higher education: A cross-department study<\/a>. Cogent Education 11, Taylor and Francis, 2024. [<a href=\"https:\/\/doi.org\/10.1080\/2331186X.2024.2375183\">doi<\/a>]<\/li>\n\n\n\n<li class=\"\">Marzieh Karimi-Haghighi, Carlos Castillo, Davinia Hern\u00e1ndez-Leo: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/karimi_castillo_hernandez-leo_2022_causal_inference_dropout_university.pdf\">A Causal Inference Study on the Effects of First Year Workload on the Dropout Rate of Undergraduates<\/a>. In AIED 2022. Springer. [<a href=\"https:\/\/www.springerprofessional.de\/en\/a-causal-inference-study-on-the-effects-of-first-year-workload-o\/23307040\">springer<\/a>]. <strong style=\"color: #000066;\">Nominated for Best Paper Award<\/strong><\/li>\n\n\n\n<li class=\"\">Corinna Hertweck, Carlos Castillo, Michael Mathioudakis. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/hertweck_castillo_mathioudakis_2022_affirmative_action_uncertainty.pdf\">Designing Affirmative Action Policies under Uncertainty<\/a>. Journal of Learning Analytics 9(2), Society for Learning Analytics Research, 2022. [<a href=\"https:\/\/doi.org\/10.18608\/jla.2022.7463 \">doi<\/a>|<a href=\"https:\/\/learning-analytics.info\/index.php\/JLA\/article\/view\/7463\">jla<\/a>]. Based on the <a href=\"https:\/\/helda.helsinki.fi\/handle\/10138\/315169\">MSc Thesis of Corinna Hertweck<\/a> at Helsinki University.<\/li>\n\n\n\n<li class=\"\">Marzieh Karimi-Haghighi, Carlos Castillo, Davinia Hernandez-Leo, Veronica Moreno Oliver: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/karimi_haghighi_2021_early_dropout_university_fairness.pdf\">Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations<\/a>. ADORE Workshop at LAK&#8217;21 [<a href=\"https:\/\/arxiv.org\/abs\/2103.09068\">arxiv<\/a>]<\/li>\n\n\n\n<li class=\"\">Michael Mathioudakis, Carlos Castillo, Giorgio Barnabo, Sergio Celis: <a class=\"paper\" href=\"https:\/\/arxiv.org\/pdf\/1905.09947\">Affirmative Action Policies for Top-k Candidates Selection, With an Application to the Design of Policies for University Admissions<\/a>. To appear in the ACM Symposium on Applied Computing (SAC), Brno, Czech Republic, March 2020. [<a href=\"https:\/\/arxiv.org\/abs\/1905.09947\">arxiv<\/a>]<\/li>\n\n\n\n<li class=\"\">Corinna Hertweck, Carlos Castillo, Michael Mathioudakis: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/hertweck_castillo_mathioudakis_2020_affirmative_action_uncertainty.pdf\">Towards Data-Driven Affirmative Action Policies under Uncertainty.<\/a> In Fairness, Accountability, and Transparency in Educational Data Cyberspace (FATED) Workshop. [<a href=\"https:\/\/arxiv.org\/abs\/2007.01202\">arxiv<\/a>]<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Sexism and Gender Biases (2021-present)<\/h2>\n\n\n\n<p class=\"\">Work led by graduate students and undergraduates of data science for their honors&#8217; thesis.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Laura Casanova, Priscilla \u00c1lvarez-Cueva, Carlos Castillo. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/casanovas_2024_sexism_lyrics_songs_spain.pdf\">Evolution Over 62 Years: An analysis of sexism in the lyrics of the most-listened-to songs in Spain<\/a>. Cogent Arts and Humanities 11(1). Taylor and Francis, 2024. [<a href=\"https:\/\/doi.org\/10.1080\/23311983.2024.2436723\">doi<\/a>|<a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/23311983.2024.2436723\">tandf<\/a>|<a href=\"https:\/\/github.com\/u161832\/sexism_in_lyrics\" data-type=\"link\" data-id=\"https:\/\/github.com\/u161832\/sexism_in_lyrics\">data and code<\/a>]<\/li>\n\n\n\n<li class=\"\">Maddalena Amendola, Carlos Castillo, Andrea Passarella, Raffaele Perego: <a href=\"https:\/\/arxiv.org\/abs\/2407.05335\">Understanding and Addressing Gender Bias in Expert Finding Task<\/a>. Pre-print [<a href=\"https:\/\/arxiv.org\/abs\/2407.05335\">arxiv<\/a>].<\/li>\n\n\n\n<li class=\"\">Laura Casanovas i Buliart, Priscila Alvarez-Cueva, Carlos Castillo. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/casanova_alvarez-cueva_2023_beatles_bad_bunny_sexism_lyrics.pdf\">From The Beatles to Bad Bunny: Sexism in popular music through an automated text analysis<\/a>. Poster at IC2S2. Copenhagen, Denmark, 2023. [<a href=\"https:\/\/doi.org\/10.5281\/zenodo.8134121\">code<\/a>]<\/li>\n\n\n\n<li class=\"\">J\u00falia Riera, David Solans, Marzieh Karimi-Haghighi, Carlos Castillo, Caterina Calsamiglia: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/riera_2023_gender_disparities_child_custody_sentencing_Spain.pdf\">Gender Disparities in Child Custody Sentencing in Spain: a Data Driven Analysis<\/a>. In Proc. ICAIL 2023. ACM Press. [<a href=\"https:\/\/doi.org\/10.1145\/3594536.3595135\">doi<\/a>|<a href=\"https:\/\/github.com\/juliariera\/gender-disparities-in-child-custody-sentencing-in-Spain\">code and data<\/a>]<\/li>\n\n\n\n<li class=\"\">Marilena Budan, Carlos Castillo: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/marilena_budan_2022_coverage_sexual_violence_spanish_media.pdf\">The Coverage of Sexual Violence in Spanish News Media<\/a>. ICWSM Workshop on Data for the Wellbeing of the Most Vulnerable. [<a href=\"http:\/\/workshop-proceedings.icwsm.org\/abstract?id=2022_83\">aaai<\/a>|<a href=\"https:\/\/doi.org\/10.36190\/2022.83\">doi<\/a>]<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Fairness in Digital Health (2020-present)<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Ioannis Bilionis, Luis Fernandez-Luque, Carlos Castillo, Ricardo C. Berrios. An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness. To appear in Proc. EMBC 2026.<\/li>\n\n\n\n<li class=\"\">Ioannis Bilionis, Ricardo C. Berrios, Luis Fernandez-Luque, Carlos Castillo. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/bilionis_2025_model_stability_chronic_diseases.pdf\">Disparate Model Performance and Stability in Machine Learning Clinical Support for Diabetes and Heart Diseases.<\/a> In Proc. AMIA 2025. [<a href=\"https:\/\/arxiv.org\/abs\/2412.19495\">arxiv<\/a>]<\/li>\n\n\n\n<li class=\"\">Ioannis Bilionis, Luis Fernandez-Luque and Carlos Castillo: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/bilionis_2023_survey_public_dataset_chronic_diseases.pdf\">A Survey on Public Data Sets Related to Chronic Diseases<\/a>. In Proc. CBMS, 2023.<\/li>\n\n\n\n<li class=\"\">Teodora Sandra Buda, Joao Guerreiro, Jesus Omana Iglesias, Carlos Castillo, Oliver Smith, Aleksandar Matic: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/sandra-buda_2022_fairness_digital_health_apps.pdf\">Foundations for Fairness in Digital Health Apps<\/a>. Frontiers in Digital Health, August 2022. [<a href=\"https:\/\/doi.org\/10.3389\/fdgth.2022.943514\">doi<\/a>|<a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fdgth.2022.943514\/full\">alt<\/a>].<\/li>\n\n\n\n<li class=\"\">Gemma Galdon Clavell, Mariano Mart\u00edn Zamorano, Carlos Castillo, Oliver Smith and Aleksandar Matic: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/galdon_2020_data_minimization_color_blindness.pdf\">Auditing Algorithms: On Lessons Learned and the Risks of Data Minimization<\/a>. In Proceedings of the AIES 2020 conference. ACM Press. [<a href=\"https:\/\/doi.org\/10.1145\/3375627.3375852\">acm<\/a>]<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Decision Support (2022-present)<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Marina Est\u00e9vez-Almenzar, Ricardo Baeza-Yates, Carlos Castillo. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/estevez_2025_human_machine_learning_errors_face_recognition.pdf\" data-type=\"link\" data-id=\"https:\/\/chato.cl\/papers\/estevez_2025_human_machine_learning_errors_face_recognition.pdf\">A Comparison of Human and Machine Learning Errors in Face Recognition<\/a>. In TRUST-AI, The European Workshop on Trustworthy AI. [<a href=\"https:\/\/arxiv.org\/abs\/2502.11337\" data-type=\"link\" data-id=\"https:\/\/arxiv.org\/abs\/2502.11337\">arxiv<\/a>].<\/li>\n\n\n\n<li class=\"\">Marina Est\u00e9vez-Almenzar, Ricardo Baeza-Yates, Carlos Castillo. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/estevez_2025_decision_support_face_matching.pdf\">Human Response to Decision Support in Face Matching: The Influence of Task Difficulty and Machine Accuracy<\/a>. To appear in HHAI 2025.<\/li>\n\n\n\n<li class=\"\">David Solans, Andrea Beretta, Manuel Portela, Carlos Castillo, Anna Monreale. <a class=\"paper\" href=\"https:\/\/arxiv.org\/pdf\/2203.15514\">Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias<\/a>. Technical Report, UPF, 2022. [<a href=\"https:\/\/arxiv.org\/abs\/2203.15514\">arxiv<\/a>]<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Other Topics of Algorithmic Bias (2020-present)<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Arpit Merchant, Carlos Castillo: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/merchant_2023_fairness_graph_neural_networks.pdf\">Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification<\/a>. In Proc. CIKM 2023. ACM Press. [<a href=\"https:\/\/doi.org\/10.1145\/3583780.3614847\">doi<\/a>|<a href=\"https:\/\/arxiv.org\/abs\/2308.09596\">arxiv<\/a>]<\/li>\n\n\n\n<li class=\"\">Alexandra Olteanu, Michael Ekstrand, Carlos Castillo, Jina Suh. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/olteanu_2023_responsible_ai_impact_statements.pdf\">Responsible AI Research Needs Impact Statements Too<\/a>. Pre-print [<a href=\"https:\/\/arxiv.org\/abs\/2311.11776\">arxiv<\/a>|<a href=\"https:\/\/medium.com\/@alexandra.olteanu\/responsible-ai-research-needs-impact-statements-too-7b7141031faf\">blogpost<\/a>]<\/li>\n\n\n\n<li class=\"\">David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/solans_2021_comparing_equity_room_rental_market.pdf\">Comparing equity and effectiveness of different algorithms in an application for the room rental market<\/a>. In Proc. of AIES 2021, pp. 978-988. AAAI\/ACM. [<a href=\"https:\/\/slideslive.com\/38956143\">video<\/a>|<a href=\"https:\/\/doi.org\/10.1145\/3461702.3462600\">doi<\/a>]<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<hr class=\"is-style-wide wp-block-separator has-alpha-channel-opacity\" style=\"margin-top:var(--wp--preset--spacing--40);margin-bottom:var(--wp--preset--spacing--40)\"\/>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\">Past topics<\/h2>\n\n\n\n<hr class=\"is-style-wide wp-block-separator has-alpha-channel-opacity\" style=\"margin-top:var(--wp--preset--spacing--40);margin-bottom:var(--wp--preset--spacing--40)\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Diversity in Music Recommendation (2020-2024)<\/h3>\n\n\n\n<p class=\"\">Work led by PhD student Lorenzo Porcaro, with Dougal Shakespeare and Emilia Gomez.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Lorenzo Porcaro, Carlos Castillo, Emilia Gomez, Jo\u00e3o Vinagre: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/porcaro_2023_fairness_diversity_information_access.pdf\">Fairness and Diversity in Information Access Systems<\/a>. To be presented at the European Workshop on Algorithmic Fairness (EWAF). [<a href=\"http:\/\/www.chato.cl\/blog\/en\/contact.html\">request by mail<\/a>]<\/li>\n\n\n\n<li class=\"\">Lorenzo Porcaro, Emilia G\u00f3mez, Carlos Castillo. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/porcaro_gomez_castillo_2022_music_recommendation_diversity_longitudinal.pdf\">Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study<\/a>. ACM Transactions on Recommender Systems, 2024. [<a href=\"https:\/\/doi.org\/10.1145\/3608487\">doi<\/a>|<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3608487\">acm<\/a>|<a href=\"https:\/\/arxiv.org\/abs\/2212.00592\">arxiv<\/a>]<\/li>\n\n\n\n<li class=\"\">Lorenzo Porcaro, Emilia G\u00f3mez, Carlos Castillo: <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/porcaro_2021_diversity_music_user_study.pdf\">Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics<\/a>. In Proc. of CSCW 2022, Vol. 6, Issue CSCW1, Article 109, pp. 1-26. ACM Press. [<a href=\"https:\/\/doi.org\/10.1145\/3512956\">doi<\/a>|<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3512956\">acm<\/a>|<a href=\"https:\/\/arxiv.org\/abs\/2101.11916\">arxiv<\/a>]\n<ul class=\"wp-block-list\">\n<li class=\"\">Lorenzo Porcaro, Emilia G\u00f3mez, Carlos Castillo. <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/porcaro_gomez_castillo_2022_focus_groups_diversity.pdf\">Diversity in the Music Listening Experience: Insights from Focus Group Interviews<\/a>. Proc. of ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), pp 272-276, ACM Press. [<a href=\"https:\/\/doi.org\/10.1145\/3498366.3505778\">doi<\/a>|<a href=\"https:\/\/arxiv.org\/abs\/2201.10249\">arxiv<\/a>]<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li class=\"\">Dougal Shakespeare, Lorenzo Porcaro, Emilia G\u00f3mez, Carlos Castillo: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/shakespeare_2020_gender_bias_recommendation.pdf\">Exploring Artist Gender Bias in Music Recommendation<\/a>. 2nd Workshop on the Impact of Recommender Systems., 2020.<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h3 class=\"wp-block-heading\">Link-Based Recommender Systems (2021-2022)<\/h3>\n\n\n\n<p class=\"\">Work led by PhD student Francesco Fabbri with Yanhao Wang, Marialuisa Croci, Francesco Bonchi, Ludovico Boratto, Michalis Mathioudakis.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo and Michael Mathioudakis. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/fabbri_2022_radicalization_youtube_link_based_recommendations_extremism_polarization.pdf\">Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways<\/a>. In Proc. TheWebConf 2022. ACM Press. [<a href=\"https:\/\/doi.org\/10.1145\/3485447.3512143\">doi<\/a>|<a href=\"https:\/\/arxiv.org\/abs\/2202.00640\">arxiv<\/a>|<a href=\"https:\/\/currentsciencedaily.com\/stories\/627027142-a-study-proposing-better-algorithms-to-avoid-radicalization-won-best-paper-award\">press<\/a>] <strong style=\"color: #000066;\">Best paper award.<\/strong><\/li>\n\n\n\n<li class=\"\">Francesco Fabbri, Marialuisa Croci, Francesco Bonchi, Carlos Castillo. <a class=\"paper\" href=\"https:\/\/chato.cl\/papers\/fabbri_2021_exposure_inequality_recsys_people.pdf\">Exposure Inequality in People Recommender Systems: The Long-Term Effects<\/a>. To appear in ICWSM 2022. AAAI Press. [<a href=\"https:\/\/arxiv.org\/abs\/2112.08237\">arxiv<\/a>]<\/li>\n\n\n\n<li class=\"\">Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo. <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/fabbri_2020_homophily_disparate_minority_recommender_recsys.pdf\">The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems<\/a>. ICWSM, AAAI [<a href=\"http:\/\/www.chato.cl\/blog\/en\/contact.html\">request by mail<\/a>]<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h3 class=\"wp-block-heading\">Fair Ranking (2016-2021)<\/h3>\n\n\n\n<p class=\"\">Work led by PhD student Meike Zehlike with Tom S\u00fchr, Sara Hajian, Ricardo Baeza-Yates, Francesco Bonchi, and Mohamed Megahed<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\"><a href=\"http:\/\/chato.cl\/papers\/castillo_2018_fairness_in_ranking.pdf\">Fairness and Transparency in Ranking<\/a>. Keynote at Data and Bias workshop at CIKM. In SIGIR Forum, Vol. 52. No. 2, December 2018, pages 64-71. [<strong><a href=\"https:\/\/docs.google.com\/presentation\/d\/1A5oKknI8zB8AuoWsGQ784ttel_44p3S4nHVolXBAjOg\/edit\">updated slides (2021)<\/a><\/strong>|<a href=\"http:\/\/sigir.org\/forum\/issues\/december-2018\/\">sigir forum<\/a>]<\/li>\n\n\n\n<li class=\"\">Meike Zehlike, Carlos Castillo: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/zehlike_2020_disparate_exposure_learning_to_rank.pdf\">Reducing Disparate Exposure in Ranking: A Learning To Rank Approach<\/a>. In WWW Short papers, Taipei, Taiwan. [<a href=\"https:\/\/arxiv.org\/abs\/1805.08716\">arxiv<\/a>]<\/li>\n\n\n\n<li class=\"\">Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed and Ricardo Baeza-Yates: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/zehlike_2017_fair_top-k_ranking_algorithm.pdf\">FA*IR: A Fair Top-k Ranking Algorithm<\/a>. In Proc. of CIKM. Singapore, 2017. ACM Press. [<a href=\"https:\/\/dl.acm.org\/authorize?N42031\">acm<\/a>|<a href=\"https:\/\/arxiv.org\/abs\/1706.06368\">arxiv<\/a>|<strong><a href=\"https:\/\/github.com\/fair-search\/fairsearchcore-python\">Python Library<\/a><\/strong>|<strong><a href=\"https:\/\/github.com\/fair-search\/fairsearchcore-java\">Java Library<\/a><\/strong>|<strong><a href=\"https:\/\/github.com\/fair-search\/fairsearch-elasticsearch-plugin\">ElasticSearch Plug-in<\/a><\/strong>]\n<ul class=\"wp-block-list\">\n<li class=\"\">Meike Zehlike, Tom S\u00fchr, Carlos Castillo: <a href=\"https:\/\/arxiv.org\/abs\/2012.12795\">A Note on the Significance Adjustment for FA*IR with Two Protected Groups<\/a>. arXiv, 2020. (Corrects the significance adjustment test.)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p class=\"\"><strong><a href=\"https:\/\/github.com\/fair-search\">Fair search tools<\/a><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Meike Zehlike, Tom S\u00fchr, Carlos Castillo, Ivan Kitanovski: <a class=\"paper\" href=\"https:\/\/arxiv.org\/pdf\/1905.13134\">FairSearch: A Tool For Fairness in Ranked Search Results<\/a> (Pre-print \/ Demo paper) [<a href=\"https:\/\/arxiv.org\/abs\/1905.13134\">arxiv<\/a>]<\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/arxiv.org\/abs\/1706.06368\">FA*IR (Post-Processing for Fair Ranking)<\/a>:\n<ul class=\"wp-block-list\">\n<li class=\"\"><a href=\"https:\/\/github.com\/fair-search\/fairsearchcore-python\">FA*IR library in Python<\/a><\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/github.com\/fair-search\/fairsearchcore-java\">FA*IR library in Java<\/a><\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/github.com\/fair-search\/fairsearch-elasticsearch-plugin\">FA*IR plug-in for Elasticsearch<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\"><a href=\"https:\/\/arxiv.org\/abs\/1805.08716\">DELTR (Disparate Exposure in Learning To Rank)<\/a>:\n<ul class=\"wp-block-list\">\n<li class=\"\"><a href=\"https:\/\/github.com\/fair-search\/fairsearchdeltr-python\">DELTR library in Python<\/a><\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/github.com\/fair-search\/fairsearchdeltr-java\">DELTR library in Java<\/a><\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/github.com\/fair-search\/fairsearch-deltr-for-elasticsearch\">DELTR adapter for Elasticsearch<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/fairnessmeasures.github.io\/\">https:\/\/fairnessmeasures.github.io\/<\/a><\/li>\n<\/ul>\n\n\n\n<p class=\"\">See also: <a href=\"https:\/\/github.com\/aideenf\/machnamh\">Machnamh &#8211; A Machine Learning Toolkit<\/a> for auditing fairness and facilitating a reflective analysis of ML models.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h3 class=\"wp-block-heading\">Social data biases (2018-2019)<\/h3>\n\n\n\n<p class=\"\">Work led by Alexandra Olteanu with Fernando Diaz and Emre K\u0131c\u0131man, published in 2018-2019.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre K\u0131c\u0131man: &#8220;<a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fdata.2019.00013\/full\">Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries<\/a>&#8221; Frontiers in Big Data, Volume 2, July 2019 [<a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=2886526\">ssrn\/previous version<\/a>].\n<ul class=\"wp-block-list\">\n<li class=\"\">Alexandra Olteanu, Emre K\u0131c\u0131man, Carlos Castillo, Fernando Diaz: A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. Tutorial at <a href=\"https:\/\/dl.acm.org\/authorize?N42033\">WSDM 2018<\/a>, WWW 2018, SDM 2018.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li class=\"\">Carlos Castillo: &#8220;<a href=\"https:\/\/docs.google.com\/presentation\/d\/1ucWRyQRZ6dkVb3Liytq8oNjMBOryRIyjRhnCqDaSsxY\/edit?usp=sharing\">A Brief Overview of Sources and Manifestations of Bias When Working with Social Data<\/a>.&#8221; Summary of the <a href=\"http:\/\/www.aolteanu.com\/SocialDataLimitsTutorial\/index.html\">tutorial<\/a> coordinated by Alexandra Olteanu, for the Russian Summer School on Information Retrieval (RuSSIR). August 2018.<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h3 class=\"wp-block-heading\">Algorithmic bias (2016-2018)<\/h3>\n\n\n\n<p class=\"\">Work led by Sara Hajian with Francesco Bonchi, published in 2016.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Sara Hajian, Francesco Bonchi, Carlos Castillo: <a href=\"http:\/\/francescobonchi.com\/algorithmic_bias_tutorial.html\">Algorithmic bias: from discrimination discovery to fairness-aware data mining<\/a>. Tutorial at KDD 2016. [<a href=\"http:\/\/dx.doi.org\/10.1145\/2939672.2945386\">acm<\/a>|<a href=\"http:\/\/chato.cl\/research\/files\/tutorial-algorithmic-bias.pdf\">7-pages outline<\/a>].\n<ul class=\"wp-block-list\">\n<li class=\"\"><strong>Slides<\/strong>: <a href=\"http:\/\/www.slideshare.net\/ChaToX\/discrimination-discovery\">Parts I and II: discrimination discovery<\/a>, <a href=\"http:\/\/www.slideshare.net\/ChaToX\/fairnessaware-data-mining\">Parts III and IV: fairness-aware data mining<\/a>.<\/li>\n\n\n\n<li class=\"\"><strong>Video<\/strong>: <a href=\"https:\/\/www.youtube.com\/watch?v=mJcWrfoGup8\">Part I: Introduction and Context<\/a>, <a href=\"https:\/\/www.youtube.com\/watch?v=nKemhMbaYcU\">Part II: Discrimination Discovery<\/a>, <a href=\"https:\/\/www.youtube.com\/watch?v=ErgHjxJsEKA\">Part III: Fairness-Aware Data Mining and Part IV: Challenges and Directions for Future Research<\/a>.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li class=\"\">Carlos Castillo: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1BFhnOV0R9qXkKPqsYt-qntyVkjXxz3JTOm7BIp6vIAw\/edit?usp=sharing\">Algorithmic Discrimination Talk<\/a> at MPI Saarbr\u00fccken, Germany, April 2019<\/li>\n\n\n\n<li class=\"\">Carlos Castillo: &#8220;<a href=\"https:\/\/youtu.be\/VIl8YWWD81U?t=18m42s\">Algorithmic Discrimination<\/a>.&#8221; Talk at BCN Analytics Data and Ethics event, April 2018. [<strong><a href=\"https:\/\/youtu.be\/VIl8YWWD81U?t=18m42s\">VIDEO<\/a><\/strong>]<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h3 class=\"wp-block-heading\">Exclusion and Hate Speech (2013-2018)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Valerio Lorini, Javier Rando, Diego Saez-Trumper, Carlos Castillo: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/lorini_2020_coverage_natural_disasters_wikipedia.pdf\">Uneven Coverage of Natural Disasters in Wikipedia: the Case of Floods<\/a>. ISCRAM, Virginia, USA. [<a href=\"https:\/\/www.upf.edu\/web\/focus\/noticies\/-\/asset_publisher\/qOocsyZZDGHL\/content\/id\/231971770\/maximized#.YAlOrtYo-V4\">press release<\/a>|<a href=\"http:\/\/idl.iscram.org\/show.php?record=2264\">iscram<\/a>|<a href=\"https:\/\/arxiv.org\/abs\/2001.08810\">arxiv<\/a>].<\/li>\n\n\n\n<li class=\"\">Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, Amit Sheth. <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/kursuncu_gaur_2019_islamist_extremist_religion_ideology_hate.pdf\">Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate<\/a>. In Proc. of CSCW 2019, Austin, Texas. [<a href=\"https:\/\/arxiv.org\/abs\/1908.06520\">arxiv<\/a>|<a href=\"https:\/\/doi.org\/10.1145\/3359253\">doi<\/a>|<a href=\"http:\/\/chato.cl\/slides\/CSCW_2019_modeling_islamist_extremism_social_media_religion_ideology_hate.pdf\">slides<\/a>]<\/li>\n\n\n\n<li class=\"\">Alexandra Olteanu, Carlos Castillo, Jeremy Boy and Kush Varshney: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/olteanu_castillo_boy_varshney_2018_hate_speech_online_islamic_terrorism_islamophobia.pdf\">The Effect of Extremist Violence on Hateful Speech Online<\/a>. In ICWSM, Stanford, CA, June 2018 [<a href=\"https:\/\/www.aaai.org\/ocs\/index.php\/ICWSM\/ICWSM18\/paper\/viewPaper\/17908\">aaai<\/a>|<a href=\"https:\/\/arxiv.org\/abs\/1804.05704\">arxiv<\/a>|<a href=\"http:\/\/chato.cl\/slides\/ICWSM_2018_hate_speech_online_islamic_terrorism_islamophobia.pdf\">slides<\/a>|<a href=\"https:\/\/github.com\/sajao\/EventsImpactOnHateSpeech\">data and code<\/a>|<strong><a href=\"https:\/\/www.forbes.com\/sites\/bernardmarr\/2019\/08\/30\/can-artificial-intelligence-predict-the-spread-of-online-hate-speech\/\">forbes<\/a><\/strong>].<\/li>\n\n\n\n<li class=\"\">Diego S\u00e1ez-Trumper, Carlos Castillo and Mounia Lalmas: <a class=\"paper\" href=\"http:\/\/chato.cl\/papers\/saez_trumper_castillo_lalmas_2013_gatekeeping_coverage_bias.pdf\">Social Media News Communities: Gatekeeping, Coverage, and Statement Bias<\/a> (+ <a href=\"http:\/\/chato.cl\/papers\/saez_trumper_castillo_lalmas_2013_gatekeeping_coverage_bias-supplementary.pdf\">supplementary material<\/a>). In CIKM 2013 (short paper) [<a href=\"http:\/\/dl.acm.org\/authorize?6966688\">acm<\/a>|<a href=\"http:\/\/www.slideshare.net\/mounialalmas\/social-media-news-communities-gatekeeping-coverage-and-statement-bias\">slides<\/a>|<a href=\"http:\/\/www.dcs.gla.ac.uk\/~mounia\/Papers\/cikmSM_app.pdf\">mirror<\/a>|<a href=\"http:\/\/www.citeulike.org\/user\/ChaTo\/article\/13094551\">bib<\/a>]<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Tutorials and talks (current) Risk Assessment of Criminal Recidivism (2021-present) Work led by PhD student Marzieh Karimi-Haghighi with Song\u00fcl Tolan, Marius Miron, Emilia Gomez. Algorithmic Hiring (2025-present) University Admissions and Evaluation (2020-present) Work led by PhD students Francielle Marques and Marzieh Karimi-Haghighi, with Giorgio Barnabo, Corinna Hertweck, Michalis Mathioudakis, Davinia Hernandez-Leo, and Sergio Celis. Sexism [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"nf_dc_page":"","footnotes":""},"class_list":["post-78","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/chato.cl\/science\/wp-json\/wp\/v2\/pages\/78","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/chato.cl\/science\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/chato.cl\/science\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/chato.cl\/science\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/chato.cl\/science\/wp-json\/wp\/v2\/comments?post=78"}],"version-history":[{"count":5,"href":"https:\/\/chato.cl\/science\/wp-json\/wp\/v2\/pages\/78\/revisions"}],"predecessor-version":[{"id":557,"href":"https:\/\/chato.cl\/science\/wp-json\/wp\/v2\/pages\/78\/revisions\/557"}],"wp:attachment":[{"href":"https:\/\/chato.cl\/science\/wp-json\/wp\/v2\/media?parent=78"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}