Conferences and journals

  • "A Nutritional Label for Rankings" (demo), Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, HV Jagadish and Gerome Miklau. Proceedings of ACM SIGMOD 2018. pdf
  • "A Technical Research Agenda in Data Ethics and Responsible Data Management", Julia Stoyanovich, Bill Howe, and HV Jagadish. Proceedings of ACM SIGMOD 2018. pdf
  • "RC-Index: Diversifying Answers to Range Queries", Yue Wang, Alexandra Meliou, and Gerome Miklau. PVLDB 11(7), 2018. pdf
  • "Online Set Selection with Fairness and Diversity Constraints", Julia Stoyanovich, Ke Yang and HV Jagadish. Proceedings of EDBT 2018. pdf
  • "Diversity in Big Data: A Review", Marina Drosou, HV Jagadish, Evaggelia Pitoura and Julia Stoyanovich. Big Data Special Issue on Social and Technical Trade-Offs, June 2017. pdf
  • "Fides: A platform for responsible data science", Bill Howe, Julia Stoyanovichi, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet and Gerhard Weikum. Proceedings of SSDBM 2017. pdf
  • "DataSynthesizer: Privacy-preserving synthetic datasets", Haoyue Ping, Julia Stoyanovich and Bill Howe. Proceedings of SSDBM 2017. pdf
  • "Measuring fairness in ranked outputs", Ke Yang and Julia Stoyanovich. Proceedings of SSDBM 2017. pdf
  • "Data, responsibly: fairness, neutrality and transparency in data analysis", Julia Stoyanovich, Serge Abiteboul and Gerome Miklau. Proceedings of EDBT 2016. pdf
  • "Collaborative Access Control in WebdamLog", Vera Zaychik Moffitt, Julia Stoyanovich, Serge Abiteboul, Gerome Miklau. Proceedings of ACM SIGMOD 2015.pdf
  • "Rule-Based Application Development using Webdamlog" (demonstration), Serge Abiteboul, Emilien Antoine, Gerome Miklau, Julia Stoyanovich, and Jules Testard. Proceedings of SIGMOD 2013. pdf
  • "Making Interval-Based Clustering Rank-Aware", Julia Stoyanovich, Sihem Amer-Yahia and Tova Milo. Proceedings of EDBT 2011. pdf
  • "On Provenance and Privacy", Susan Davidson, Sanjeev Khanna, Sudeepa Roy, Julia Stoyanovich, Val Tannen, Yi Chen. Proceedings of ICDT 2011. pdf

Reports

  • "Data, Responsibly (Dagstuhl Seminar 16291)", Serge Abiteboul, Gerome Miklau, Julia Stoyanovich and Gerhard Weikum. Schloss Dagstuhl Seminar Report, 2016. full report
  • "Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151)", Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid Libkin, Wim Martens, Tova Milo, Filip Murlak, Frank Neven, Magdalena Ortiz, Thomas Schwentick, Julia Stoyanovich, Jianwen Su, Dan Suciu, Victor Vianu, Ke Yi. Schloss Dagstuhl Seminar Report, 2016. full report   SIGMOD Record (abridged)

Blogs and popular press

  • "Testimony of Julia Stoyanovich before the New York City Council Committee on Technology regarding Automated Processing of Data (Int. 1696-2017), October 16, 2018". pdf
  • "Refining the Concept of a Nutritional Label for Data and Models", Julia Stoyanovich and Bill Howe. Freedom to tinker blog
  • "Julia Stoyanovich on the importance of many perspectives at the Data for Good Exchange". Tech at Bloomberg, July 7, 2017.
  • "Plaidoyer pour une analyse responsable des données", Serge Abiteboul and Julia Stoyanovich. Le Monde, October 12, 2015.
  • "Revealing Algorithmic Rankers", Julia Stoyanovich and Ellen P. Goodman. Freedom to tinker blog
  • "The Data, Responsibly Manifesto", Serge Abiteboul and Julia Stoyanovich. ACM SIGMOD blog

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