[Ieee_vis] HILDA 2017 Call for Papers

Aditya Parameswaran adityagp at illinois.edu
Fri Nov 18 05:21:34 CET 2016


********  HILDA 2017 Call for Papers (Deadline: 17 February 2017)  ********


HILDA'17
2nd Workshop on Human-In-the-Loop Data Analytics, May 14, 2017.
http://hilda.io/


Held in conjunction with SIGMOD 2017
Raleigh, North Carolina, USA, 14-19 May 2017
http://sigmod2017.org/


****************
WORKSHOP FOCUS
****************


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 analytics process. Thus, the key focus of HILDA
is to evaluate,
understand, and formally reason about the participation of humans in data
management, with
the eventual goal towards building optimized data management systems and
techniques that
treat humans as a first-class citizen, alongside data.


We welcome work that proposes innovations in design to improve the way
people can work
with data management systems, just as work that studies empirically how
humans work with
existing systems. We welcome research from a variety of perspectives:
database systems,
data mining and machine learning,human-centric computing, interfaces, and
visualization,
as well as industrial best practices and experience. A sample of topics
that are in the
spirit of this workshop include, but are 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 welcome 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. See hilda.io/2016 for the program and examples of the work presented
at HILDA 2016.


****************
IMPORTANT DATES
****************


Workshop Date: May 14, 2017 (full day)
Submissions due: February 17, 2017 11:59PM US EDT
Notification of outcome: March 24, 2017 11:59PM US EDT
Camera-ready due: April 7, 2017 11:59PM US EDT


****************
SUBMISSION
****************


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:


https://easychair.org/conferences/?conf=hilda2017


****************
ORGANIZERS & PC
****************


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


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
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
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