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Authors are invited to submit either of the following: (1) original, unpublished research papers that are not being considered for publication in any other forum.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.
We are excited to host a panel of researchers to discuss directions where communities can collaborate.
- All HILDA papers are available in the ACM DL for a one year period from the conference start date.
- Workshop Date: July 5, 2019
- Submissions (Research Papers): March 22
16, 2019, 11:59PM US PDT
- Notification of outcome: April 13, 2019 11:59PM US PDT (before SIGMOD early registration deadline)
- Camera-ready due: April 27, 2019 11:59PM US PDT
- Leilani Battle (Univeristy of Maryland, co-chair)
- Surajit Chaudhuri (Microsoft Research, co-chair)
- Arnab Nandi (The Ohio State University, co-chair)
- Aditya Parameswaran, University of Illinois
- Adriane Chapman, University of Southampton
- Anil Bahuman, Reliance Jio Infocomm
- Carl-Christian Kanne, Platfora
- Beth Trushkowsky, Harvey Mudd College
- Cagatay Demiralp, Megagon Labs
- Carlos Scheidegger, University of Arizona
- Chengkai Li, University of Texas at Arlington
- Danyel Fisher, Honeycomb.io
- Dana Groff, MongoDB
- Dominik Moritz, University of Washington
- Giuseppe Santucci, Sapienza University of Rome
- Guoliang Li, Tsinghua University
- Harish Doraiswamy, NYU Data Science Center
- Iddo Drori, NYU and Columbia University
- James Terwilliger, Microsoft Research
- Jean-Daniel Fekete, Equipe Aviz, INRIA Saclay - Île-de-France
- Mohamed Sarwat, Arizona State University
- Nikos Bikakis, University of Ioannina
- Oliver Kennedy, University at Buffalo
- Remco Chang, Tufts University
- Rick Cole, Tableau Software
- Stratos Idreos, Harvard University
- Thibault Sellam, Columbia University
- Tiziana Catarci, Sapienza Universit di Roma
- Yash Govind, University of Wisconsin-Madison
- Yunyao Li, IBM Research
- Zhe Cui, University of Maryland
- Carsten Binnig (TU Darmstadt)
- Juliana Friere (New York University)
- Joseph M. Hellerstein (University of California, Berkeley)
- Aditya Parameswaran (University of Illinois)
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