I'm a computer scientist designing and studying responsible information and social computing systems that respect societal, ethical, and legal constraints.
Currently, I'm working at Microsoft Research Montréal as a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) Group. Early 2021, I will be joining the Max Planck Institute for Security and Privacy as a tenure-track faculty (W2) to head a group in the area of responsible technology.
My background is in information retrieval, information extraction, and data mining. I completed my PhD summa cum laude at the Max Planck Institute for Informatics and Saarland University advised by Gerhard Weikum and Krishna P. Gummadi. During that time, I was also a member of the Max Planck Institute for Software Systems. My doctoral work focused on the issues of privacy and fairness in search systems. Outside of academia, I worked as an engineering intern in the privacy infrastructure team at Google and as a software developer in e-commerce.
I have open positions (postdoc, PhD, intern) in my group at MPI-SP starting March 2021. Official postings will be published later this Fall. In the meantime, if you are interested in one of these positions, please reach out.
Publications
- Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz and Michèle Finck
(SIGIR 2020) 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF] - Evaluating Stochastic Rankings with Expected Exposure
Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
(CIKM 2020) 29th ACM International Conference on Information and Knowledge Management
[pre-print] - Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions
Asia J. Biega, Jana Schmidt, Rishiraj Saha Roy
(ECIR 2020) The 42nd European Conference on Information Retrieval, short paper
[PDF] [Extended version] - Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform
Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty
(KDD 2019) The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] - On the Impact of Choice Architectures on Inequality in Online Donation Platforms
Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi and Hoda Heidari
(WWW 2019) The Web Conference 2019, short paper
[PDF] - Enhancing Privacy and Fairness in Search Systems
Joanna Biega
(PhD Thesis) Saarland University
[PDF] - Equity of Attention: Amortizing Individual Fairness in Rankings
Asia J. Biega, Krishna P. Gummadi, Gerhard Weikum
(SIGIR 2018) 41st International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF] - Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities
Asia J. Biega, Azin Ghazimatin, Hakan Ferhatosmanoglu, Krishna P. Gummadi, Gerhard Weikum
(CIKM 2017) 26th ACM International Conference on Information and Knowledge Management
[PDF] - Privacy of Hidden Profiles: Utility-Preserving Profile Removal in Online Forums
Sedigheh Eslami, Asia J. Biega, Rishiraj Saha Roy, Gerhard Weikum
(CIKM 2017) 26th ACM International Conference on Information and Knowledge Management, short paper
[PDF] - Fair Sharing for Sharing Economy Platforms
Abhijnan Chakraborty, Asia J. Biega, Aniko Hannak, Krishna P. Gummadi
(FATREC@RECSYS 2017) FATREC Workshop on Responsible Recommendation
[PDF] - Privacy through Solidarity: A User-Utility-Preserving Framework to Counter Profiling
Asia J. Biega, Rishiraj Saha Roy, Gerhard Weikum
(SIGIR 2017) 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF] - R-Susceptibility: An IR-Centric Approach to Assessing Privacy Risks for Users in Online Communities
Joanna Asia Biega, Krishna P. Gummadi, Ida Mele, Dragan Milchevski, Christos Tryfonopoulos, Gerhard Weikum
(SIGIR 2016) 39th International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF] - YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames
Thomas Rebele, Fabian M. Suchanek, Johannes Hoffart, Joanna Asia Biega, Erdal Kuzey, Gerhard Weikum
(ISWC 2016) 15th International Semantic Web Conference, short paper
[PDF] - IBEX: Harvesting Entities from the Web Using Unique Identifiers
Aliaksandr Tailaika, Joanna Biega, Antoine Amarilli, Fabian M. Suchanek
(WebDB@SIGMOD 2015) 18th International Workshop on the Web and Databases
[PDF] [Technical report] - YAGO3: A Knowledge Base from Multilingual Wikipedias
Farzaneh Mahdisoltani, Joanna Biega, Fabian M. Suchanek
(CIDR 2015) 7th Biennial Conference on Innovative Data Systems Research
[PDF] - Probabilistic Prediction of Privacy Risks in User Search Histories
Joanna Biega, Ida Mele, Gerhard Weikum
(PSBD@CIKM 2014) 1st International Workshop on Privacy and Security of Big Data
[PDF] - Mining History with Le Monde
Thomas Huet, Joanna Biega, Fabian M. Suchanek
(AKBC@CIKM 2013) 3rd Workshop on Automated Knowledge Base Construction
[PDF] - Inside YAGO2s: A Transparent Information Extraction Architecture
Joanna Biega, Erdal Kuzey, Fabian M. Suchanek
(WWW 2013 - demo) 22nd International World Wide Web Conference
[PDF] [prezi]
Non-refereed Publications
- Overview of the TREC 2019 Fair Ranking Track
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sebastian Kohlmeier
(TREC 2019) The 28th Text REtrieval Conference Proceedings
[PDF] - FACTS-IR: Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval
Olteanu et al.
(SIGIR Forum) December 2019, Volume 53 Number 2, pp 20–43
[PDF] - Report on the First HIPstIR Workshop on the Future of Information Retrieval
Dietz et al.
(SIGIR Forum) December 2019, Volume 53 Number 2, pp 62–75
[PDF]
Academic Service
Co-Organizer:
- Plenary discussion at FAT* 2020 on When Not to Design, Build, or Deploy
- Fair Ranking track at TREC: 2019, 2020
- SIGIR 2020 (long papers): ACM SIGIR Conference on Research and Development in Information Retrieval
- WSDM 2021: ACM WSDM Conference on Web Search and Data Mining
- KDD 2020 (research track): ACM SIGKDD Conference on Knowledge Discovery and Data Mining
- SIGIR 2020 (short papers): ACM SIGIR Conference on Research and Development in Information Retrieval
- SIGIR 2019 (long+short papers): ACM SIGIR Conference on Research and Development in Information Retrieval
- SDM 2019-2020: SIAM International Conference on Data Mining
- CIKM 2019 (long+short papers): ACM International Conference on Information and Knowledge Management
- FAT* 2019: ACM Conference on Fairness, Accountability, and Transparency
- ECIR 2020 Best Paper Awards Committee (Industry Impact Award)
- ECIR 2020 International Workshop on Algorithmic Bias in Search and Recommendation
- ICLR 2020 Towards Trustworthy ML: Rethinking Security and Privacy for ML
- SIGIR 2019 Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in IR
- KDD 2019 Workshop on Learning and Mining for Cybersecurity
- Information Systems, 2017
- ACM Transactions on the Web (TWEB), 2016
Talks
Invited:
- Fairness, Accountability, and Transparency Seminars and Hackfest, UPF Barcelona, Spain, January 2020
- University of Amsterdam, The Netherlands, December 2019
- Microsoft Munich, Germany, July 2019
- LMU Munich, Germany, March 2019
- L3S Research Center, Hannover, Germany, January 2019
- Microsoft Research AI Breakthroughs, Redmond, USA, September 2018
- Microsoft Research Montreal, Canada, August 2018
- Wikimedia Foundation, remote, August 2018
- Panel: How to mentor women in IR? What works, what doesn't, and why?
Women in IR @ SIGIR 2018, Ann Arbor, Michigan, USA, July, 2018 - Microsoft Research Cambridge, UK, February 2018
- Google Zurich, Switzerland, September 2017
- UMass Amherst, Massachusetts, USA, November 2015
- Equity of Attention: Amortizing Individual Fairness in Rankings
SIGIR 2018, Ann Arbor, Michigan, USA, July, 2018 - Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities
CIKM 2017, Singapore, November 2017 - Privacy through Solidarity
SIGIR 2017, Tokyo, Japan, August 2017 - R-Susceptibility: An IR-Centric Approach to Assessing Privacy Risks for Users in Online Communities
SIGIR 2016, Pisa, Italy, July 2016 - YAGO3: A Knowledge Base from Multilingual Wikipedias
CIDR 2015, Asilomar, California, USA, January 2015 - Probabilistic Prediction of Privacy Risks in User Search Histories
PSBD@CIKM 2014, Shanghai, China, November 2014 - Inside YAGO2s
WWW 2013, Rio de Janeiro, Brazil, May 2013
Teaching
- Coordinator for Information Retrieval and Data Mining , WS 2017/18.
- Teaching Assistant for Information Retrieval and Data Mining , WS 2015/16.
- Teaching Assistant for the Data Mining with R workshop for high school students, Saarland University, Forschungstage Informatik 2016.
Mentoring and Co-advising
While at Microsoft Research:
- Divya Shanmugam (MIT), research internship, 2020.
- Ruohan Li (CMU), remote research project, 2020.
- Jianxiang Li (CMU), remote research project, 2020.
- Tom Sühr (TU Berlin), research internship, 2018-2019.
- Jana Schmidt (Saarland University), BSc thesis, 2018.
- Sedigheh Eslami (Saarland University) MSc thesis, 2016-2017.