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Asia J. Biega is an incoming tenure-track faculty member (W2) at the Max Planck Institute for Security and Privacy (MPI-SP), currently working as a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) Group at Microsoft Research Montréal. At MPI-SP, she will head a group focused on Responsible Computing. Through interdisciplinary collaborations, she designs legally, ethically, and socially responsible information and social computing systems and studies how they interact with and influence their users. Before joining Microsoft Research, she completed her PhD at the Max Planck Institute for Informatics and the Max Planck Institute for Software Systems. She has published her work in leading information retrieval, Web, and data mining venues, and has been serving on the program committees of conferences such as SIGIR, WSDM, KDD, AAAI, and FAT*/FAccT. She has co-organized the NIST TREC Fair Ranking track, and a FAT* panel on technology refusal. Beyond academia, her perspectives and methodological approaches are informed by an industrial experience, including work on privacy infrastructure at Google and consulting for Microsoft product teams on issues related to FATE and privacy.


OPENINGS IN THE RESPONSIBLE COMPUTING GROUP

I am hiring for my group at MPI-SP starting March 2021. Official postings are now up:

Reviewing of applications will start on Dec 1, 2020, and continue until the positions are filled.

Responsible Computing Group at MPI-SP

I lead the Responsible Computing group at the Max Planck Institute for Security and Privacy (MPI-SP). We study online socio-technical systems—the algorithms, the people, the legal regulations, the interfaces and the data. We seek to understand both the influence online systems have on user behavior, cognition, and well-being, as well as the impacts of user biases and preferences on the functioning of those systems. We explore computational interpretations of legal requirements as well as concepts from social sciences and humanities to enhance our understanding of the interplay between people and online systems and develop novel technical solutions mitigating systemic and individual harms. Our work is often grounded in interdisciplinary collaborations, allowing us not only to make technical contributions in Computer Science, but also lend our computing expertise to inform research in other fields.


Our current focus is on responsible computing principles for information access and social computing systems (including search, recommendation, assistive typing, sharing economy, crowdsourcing or social media systems). We publish our work at top-tier conferences in the areas of Web & Information Retrieval, Social Computing, and Computing & Society.


Topics we’re currently working on:
  • Operationalizing concepts from data protection laws such as GDPR (data minimization, fairness, privacy, accountability, transparency).
  • Modeling of human biases in the context information access and social computing systems.
  • Measurement methodologies to quantify the harms and the impacts of information access and social computing systems on user behavior, beliefs, cognition, and well-being.

MPI-SP is the newest institute within the broader landscape of Computer Science research at the Max Planck Society. The institute’s mission is to study and develop the technical foundations and interdisciplinary aspects of security, privacy, and responsible computing. We conduct cutting-edge basic research and train the next generation of scientific and industrial leaders in an environment that encourages collaboration and thinking outside the box.

Publications

[Google Scholar] [DBLP]

  • Operationalizing the Legal Principle of Data Minimization for Personalization
    Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz and Michèle Finck
    (SIGIR 2020) The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
    [PDF]

  • On the Desiderata for Online Altruism: Nudging for Equitable Donations
    Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
    (CSCW 2020) The 23rd ACM Conference on Computer-Supported Cooperative Work and Social Computing
    [PDF]

  • Evaluating Stochastic Rankings with Expected Exposure
    Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
    (CIKM 2020) The 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) The 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) The 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) The 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) The 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) The 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) The 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) The 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) The 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) The 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) The 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) The 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) The 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: Senior pogram committee:
  • SIGIR 2020-2021: ACM SIGIR Conference on Research and Development in Information Retrieval
Pogram committee:
  • AAAI 2021: AAAI Conference on Artifical Intelligence
  • 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 2019: ACM SIGIR Conference on Research and Development in Information Retrieval
  • FAT*/FAccT 2019, 2021: ACM Conference on Fairness, Accountability, and Transparency
  • SDM 2019-2020: SIAM International Conference on Data Mining
  • CIKM 2019 (long+short papers): ACM International Conference on Information and Knowledge Management
Award committee:
  • ECIR 2020 Best Paper Awards Committee (Industry Impact Award)
Workshop program commitee: Journal Reviewer:
  • Information Systems, 2017
  • ACM Transactions on the Web (TWEB), 2016

Invited talks and panels

  • [upcoming] University of Colorado Boulder, USA, remote, October 2020
  • [upcoming] Georgetown University, USA, remote, October 2020
  • Panel: Career paths in industry, Mila -- Quebec AI Institute, Canada, remote, October 2020
  • ECCV Workshop: The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security, remote, August 2020
  • Panel: Women in IR, SIGIR 2020, remote, July 2020
  • TU Munich, Germany, February 2020
  • 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

Teaching

Mentoring and Co-advising

While at Microsoft Research:
  • Divya Shanmugam (MIT), research internship, 2020.
  • Maria Antoniak (Cornell), research internship, 2020.
  • Ruohan Li (CMU), remote research project, 2020.
  • Jianxiang Li (CMU), remote research project, 2020.
While at MPI-INF + MPI-SWS:
  • Tom Sühr (TU Berlin), research internship, 2018-2019.
  • Jana Schmidt (Saarland University), BSc thesis, 2018.
  • Sedigheh Eslami (Saarland University) MSc thesis, 2016-2017.

Private

Art: Music
  • Here's a piece from 'Balnicki Księżyc', an album we recorded with Matragona.

  • Here are some more recent gigs and recordings.

Art: Other