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Authors are invited to submit either of the following: (1) original, unpublished research papers that are not being considered for publication in any other forum. These will be published in the HILDA proceedings, or (2) abstracts of previous work presented in other venues ideally outside the database community.
Abstracts will be considered for discussion at the workshop only and not be included in the HILDA proceedings. Submissions of abstracts must be marked in the title as (Abstract). Research papers must follow the latest ACM Proceedings format (2017). Research papers submitted can be between four and six pages in length, excluding references. Abstracts should be maximally one page long.
Submissions will be handled through EasyChair.
- Jock D. Mackinlay, VP Research & Design, Tableau Software
We are excited to host a panel of visualization and database researchers to discuss directions where the two communities can collaborate: visualization and HCI research that can help solve hard database problems, and database research that can benefit hard visualization systems problems.
- Polo Chau (Georgia Tech)
- Arvind Satyanarayan (MIT)
- Aditya Parameswaran (UIUC)
- Surajit Chaudhuri (Microsoft)
- more pending...
- All HILDA papers will available here and will provide free access to the papers maintained in the ACM DL for a one year period from the conference start date.
- Workshop Date: June 10, 2018
- (updated) Submissions (Research Papers): March 25
23, 2018, 11.59PM US EDT
- Submissions (Abstract-only): April 6, 2018, 11.59PM US EDT
- Notification of outcome:
April 13, 2018April 16, 2018 11.59PM US EDT (before SIGMOD early registration deadline)
- Camera-ready due: April 27, 2018 11:59PM US EDT
- Carsten Binnig (TU Darmstadt, co-chair)
- Juliana Freire (New York University, co-chair)
- Eugene Wu (Columbia University, co-chair)
- Aditya Parameswaran, University of Illinois
- Adriane Chapman, University of Southampton
- Anil Bahuman, Reliance Industries
- Anushka Anand, Tableau Software
- Arnab Nandi, The Ohio State University
- Beth Trushkowsky, Harvey Mudd College
- Brian Lim, NUS Singapore
- Carl-Christian Kanne, Platfora
- Carlos Scheidegger, University of Arizona
- Chris Re, Stanford University
- Dafna Shahaf, Hebrew University Jerusalem
- Danyel Fisher, Microsoft Research
- Dana Groff, MongoDB
- Dominik Moritz, University of Washington
- Enrico Bertini, New York University
- Giorgio Caviglia, Trifacta Inc
- Guoliang Li, Tsinghua University
- Harish Doraiswamy, NYU Data Science Center
- Iddo Drori, NYU and Columbia University
- James Terwilliger, Microsoft Research
- Jessica Hullman, University of Washington
- Joseph M. Hellerstein, UC Berkeley
- Leilani Battle, Univeristy of Maryland, College Park
- 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
- Thibault Sellam, Columbia University
- Tim Kraska, Brown University
- Tiziana Catarci, Sapienza Universit di Roma
- Yunyao Li, IBM Research
- Alan Fekete (University of Sydney)
- Laura Haas (IBM Research)
- Joseph M. Hellerstein (University of California, Berkeley)
- Arnab Nandi (The Ohio State University)
- Aditya Parameswaran (University of Illinois)
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