Workshop on Human-In-the-Loop Data Analytics
Co-located with SIGMOD 2017 (14 May 2017, Chicago)


Any data management system needs to work together with people, whose needs determine the goals for the system, and who must provide the input and who need to work effectively with the output. Data management systems will work much better when they take account of the cognitive and physiological characteristics of the people involved. Recent technology trends (such as touch screens, motion detection, and voice recognition) are widening the possibilities for users to interact with systems, and many information-provision industries are shifting to personalized processing to better target their services to the users’ wishes. HILDA is a workshop that will allow researchers and practitioners to exchange ideas and results relating to how data management can be done with awareness of the people who form part of the processes. A sample of topics that is are in the spirit of this workshop includes, but is not limited to: novel query interfaces, interactive query refinement, data exploration and analysis, data visualization, human-assisted data integration and cleaning, perception-aware data processing, database systems designed for highly interactive use cases, empirical studies of database use, and crowd-powered data infrastructure.

HILDA intends to be a forum where people from varied communities engage with one another's ideas. We are keen to have submissions that present initial ideas and visions, just as much as reports on early results, or reflections on completed projects. The workshop will focus on discussion and interaction, rather than static presentations of what is in the paper.


Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Papers must follow the ACM Proceedings Format. Papers submitted can be between four and six pages in length, including references and appendix.

Submissions will be handled through EasyChair.

Keynote Speakers

  • Ben Shneiderman, University of Maryland/College Park
  • Mike Cafarella, University of Michigan

Important DatesTENTATIVE

  • Workshop Date: May 14, 2017
  • Submissions due: March 10, 2017, 11.59PM US EDT
    March 3, 2017 11:59PM US EDT
  • Notification of outcome: April 2, 11.59PM US EDT
    March 26, 2017 11:59PM US EDT
  • Camera-ready due: April 9, 2017 11:59PM US EDT

Related Workshops

Program Chairs

  • Carsten Binnig (Brown University, co-chair)
  • Joseph M. Hellerstein (University of California, Berkeley, co-chair)
  • Aditya Parameswaran (University of Illinois, co-chair)

Program Committee

  • Abraham Bernstein, University of Zurich
  • Adriane Chapman, MITRE McLean
  • Anil Bahuman, Reliance Industries
  • Anushka Anand, Tableau Software
  • Beth Trushkowsky, Harvey Mudd College
  • Brian Lim, NUS Singapore
  • Carl-Christian Kanne, Platfora
  • Chris Re, Stanford University
  • Dafna Shahaf, Hebrew University Jerusalem
  • Danyel Fisher, Microsoft Research
  • Dana Groff, MongoDB
  • Eugene Wu, Columbia University
  • Giorgio Caviglia, Trifacta Inc
  • Guoliang Li, Tsinghua University
  • Harish Doraiswamy, NYU Data Science Center
  • James Terwilliger, Microsoft Research
  • Jessica Hullman, University of Washington
  • Martin Kersten, CWI
  • Olga Papemmanouil, Brandeis University
  • Oliver Kennedy, University at Buffalo
  • Patrick Olivier, Newcastle University
  • Remco Chang, Tufts University
  • Rick Cole, Tableau Software
  • Stratos Idreos, Harvard University
  • Sudeepa Roy, Duke University
  • Tim Kraska, Brown University
  • Tiziana Catarci, Sapienza Universit di Roma
  • Yunyao Li, IBM Research

Steering Committee

  • Alan Fekete (University of Sydney)
  • Laura Haas (IBM Research)
  • Arnab Nandi (The Ohio State University)


  • Ben Shneiderman, University of Maryland/College Park
  • Mike Cafarella, University of Michigan

Program / Schedule




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