[First Call] CFP: EXPLORE 2017 @ AAMAS 2017: The 4th Workshop on Exploring Beyond the Worst Case in Computational Social Choice

[Nicholas Mattei]

[Sorry for multiple postings!]

*CFP: EXPLORE 2017 @ AAMAS 2017: The 4th Workshop on Exploring Beyond the
Worst Case in Computational Social Choice*

To be held at the 16th Conference for Autonomous Agents and Multi-Agent
Systems, AAMAS 2017.

May 8th or 9th, 2017
São Paulo, Brazil

http://www.explore-2017.preflib.org/

Computational Social Choice (ComSoc) lies at the intersection of computer
science, economics, social choice, and political science. Many, often
disjoint, groups of researchers both outside and within computer science
study group decision making and preference aggregation. The computer
science view of social choice focuses, broadly, on computational aspects of
social choice and importing ideas from social choice into computer science.
While the surge of research in this area has created dramatic benefits in
the areas of market matchings, recommendation systems, and preference
aggregation, much of the ComSoc community is  focused on worst case
assumptions.

As ComSoc evolves there is a growing need to relax or revise some of the
more common assumptions in the field: worst case complexity, complete
information, and overly-restricted domains, among others. This means going
beyond traditional algorithmic and complexity results and providing a more
nuanced look, using real data, parameterized algorithms, and human and
agent experimentation to provide a fresh and impactful view of group
decision making. This goes hand in hand with highlighting the practical
applications of much of the theoretical research — as much of the most
impactful work in ComSoc does. It also involves looking at more complex
preference aggregation settings that help model real world requirements.

We encourage research related to:
* Algorithms and analysis
* Empirical Studies
* Average case analysis
* Identification of tractable sub-cases
* Fixed parameter complexity analysis
* Benchmarking and analysis from the preference handling and recommendation
systems
* Matchings under preferences
* Auction and market design in the real world
* Crowd-sourcing and other real-world data aggregation domains
* Ethical decision making (with applicative bent)

Many of these tools, techniques, and studies are concentrated in a
particular sub-field and researchers in other areas of ComSoc and related
communities may be keen to import some of the tools and techniques
developed in other areas.

The workshop is currently scheduled for a full day.  We plan for the
program to include an invited talk from a local researcher and possibly a
short tutorial.

Important Dates
-------------------------------
Paper Submission Deadline: February 7, 2017
Author Notification: March 2, 2017
Conference and Workshop: May 8 or 9, 2017

Submission Instructions
-------------------------------
Submissions will be handled by EasyChair, the site is available at
https://easychair.org/conferences/?conf=explore2017

Papers should be in AAMAS format, allowing 8 pages of text plus 1 page for
references.

Organization Committee
-------------------------------
Haris Aziz, Data61 and UNSW
John P. Dickerson, University of Maryland
Omer Lev, University of Toronto
Nicholas Mattei, IBM Research

Travel and Attendance Information
-----------------------------------
The workshop will be held in conjunction with AAMAS 2017 in São Paulo,
Brazil. Please see the AAMAS website for more information regarding
registration, travel, and accommodations:
http://www.aamas2017.org

We hope to see you there.
--Haris, John, Omer, and Nick.


-- 
Nicholas Mattei
Research Staff Member | Cognitive Computing
*IBM T.J. Watson Research Center*
1101 Kitchawan Road, Office 30-110, Yorktown Heights, NY 10598
E: n.mattei at ibm.com | T: +1 914 945 3305
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