[Ieee_vis] DSIA Workshop Submission Deadline Extended (and Keynote Speaker announcement)

[Remco Chang]

Dear Colleagues,


Due to a conflict with the VLDB deadline, we are extending the submission
deadline for the Workshop on Data Systems for Interactive Analysis (DSIA)
by 2 weeks. The new deadline is Monday, August 17, 2015.

In addition, we are pleased to announce that Joe Hellerstein from UC
Berkeley will be the keynote speaker for the workshop. Joseph M. Hellerstein
<http://db.cs.berkeley.edu/jmh> is a Chancellor's Professor of Computer
Science at the University of California, Berkeley, whose work focuses on
data-centric systems and the way they drive computing. He is an ACM Fellow,
<http://fellows.acm.org/fellow_citation.cfm?id=4354833&srt=year&year=2009>
an Alfred P. Sloan Research Fellow <http://www.sloan.org/fellowships> and
the recipient of three ACM-SIGMOD "Test of Time"
<http://www.sigmod.org/sigmod-awards/sigmod-awards#time> awards for his
research. In 2010, Fortune Magazine included him in their list of 50 smartest
people in technology, and MIT's Technology Review magazine included his
work on their TR10 <http://www.technologyreview.com/computing/25089/> list
of the 10 technologies "most likely to change our world". Hellerstein is
the co-founder and Chief Strategy Officer of Trifacta <http://trifacta.com/>,
a software vendor providing intelligent interactive solutions to the messy
problem of wrangling data. He serves on the technical advisory boards of a
number of computing and Internet companies including EMC
<http://www.emc.com/>, SurveyMonkey <http://www.surveymonkey.com/>,
Captricity <http://www.captricity.com/>, and Dato <http://www.dato.com/>,
and previously served as the Director of Intel Research, Berkeley.



Workshop Announcement:

The 1st Workshop on Data Systems for Interactive Analysis (DSIA 2015)

http://www.interactive-analysis.org/

Monday, October 26, Chicago. In conjunction with IEEE VIS 2015.

*** New Submission Deadline: August 17 (Monday), 2015 ***


MOTIVATION AND BACKGROUND OF THE WORKSHOP

The goal of this workshop is to foster innovative research at the
intersection of databases, machine learning, and interactive visualization.

Database researchers have developed techniques for storing and querying
massive amounts of data, including methods for distributed, streaming and
approximate computation. Machine learning techniques

provide ways to discover unexpected patterns and to automate and scale
well-defined analysis procedures. Recent systems research has looked at how
to develop novel database systems architectures to support the iterative,
optimization-oriented workloads of machine learning algorithms.

Of course, both the inputs and outputs of these systems are ultimately
driven by people, in support of analysis tasks. The life-cycle of data
involves an iterative, interactive process of determining which questions
to ask, the data to analyze, appropriate features and models, and
interpreting results. In order to achieve better analysis outcomes, data
processing systems require improved interfaces that account for the
strengths and limitations of human perception and cognition. Meanwhile, to
keep up with the rising tide of data, interactive visualization tools need
to integrate more techniques from databases and machine learning.

In this workshop, we will explore the idea that the next generation of
database, machine learning, and interactive visualization systems should
not be designed in isolation. For example, machine learning

techniques might recommend improved data transformation and visual encoding
decisions. Or, database query optimizers might take advantage of perceptual
constraints, while prefetching methods reduce latency by modeling likely
interactions.

This workshop seeks to jump start cross-pollination between these fields.
The program will be split between invited talks from researchers in these
communities, and speculative, ongoing work that straddles the areas.


LIST OF TOPICS

This workshop will focus on interactive systems: techniques, methods,
architecture, systems that enable the user to interactively explore and
analyze large amounts of data in the back end with little or no latency. We
encourage late-breaking work, research in progress, and position papers in
interactive analysis, broadly construed. For example, topics of interest to
the workshop include (but are not limited to):

* design of database architectures for interactive analysis

* novel database applications for interactive analysis

* novel database techniques based on perceptual constraints and

 human-centered design

* evaluation of database systems for interactive analysis

* identify unique characteristics of database for supporting vis

* communication protocols between front and back ends

* techniques for data storage, retrieval, compression, transformation,

 sampling, and streaming

* techniques for metadata generation

* front-end architectures that exploit these novel back-end capabilities

We are interested, more generally, in the questions that arise at the
*intersection* of these systems.


IMPORTANT DATES

* Submission Deadline: August 17, 2015

* Notification Date: August 31, 2015

* Final Version Due: September 15, 2015

* Workshop Date: Monday, October 26, 2015. 1-5pm


WORKSHOP ORGANIZERS

* Remco Chang, Tufts University

* Danyel Fisher, Microsoft Research

* Carlos Scheidegger, University of Arizona

* Jeffrey Heer, University of Washington


CONTACT

website: http://www.interactive-analysis.org

email: organizers at interactive-analysis.org


Remco

--
Remco Chang
Assistant Professor
Department of Computer Science
Tufts University
http://www.cs.tufts.edu/~remco
(office) 617-627-3681
(lab)    617-627-6514
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