posted by organizer: nmattei || 878 views || tracked by 3 users: [display]

EXPLORE 2016 : EXPLORE 2016 @ AAMAS 2016: The 3rd Workshop on Exploring Beyond the Worst Case in Computational Social Choice


When May 9, 2016 - May 10, 2016
Where Singapore
Submission Deadline Feb 7, 2016
Notification Due Mar 1, 2016
Final Version Due Mar 15, 2016
Categories    artificial intelligence   computational social choice   multi agent systems   resource allocation

Call For Papers

CFP: EXPLORE 2016 @ AAMAS 2016: The 3rd Workshop on Exploring Beyond the Worst Case in Computational Social Choice

To be held at the 15th Conference for Autonomous Agents and Multi-Agent Systems, AAMAS 2016.

May 10th, 2016


Computational Social Choice (ComSoc) is a rapidly developing field 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 on computational aspects of social choice and importing ideas from social choice into computer science, broadly. 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 remains focused on worst case assumptions.

As ComSoc evolves there is an increased 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
* Empirical Studies
* Average case analysis
* Identification of tractable sub-cases
* Fixed parameter complexity analysis
* Benchmarking and analysis from the preference handling and recommendation systems
* Studies of matching and auction mechanisms
* Crowd-sourcing and other real-world data aggregation domains.

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.

Program Notes

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.

AAMAS-2016 is happy to announce that selected workshop papers will be published by Springer under two books. The aim of these books is to encourage innovative and visionary papers, even if their research work is still at a preliminary stage. The first book will be a compilation of the most visionary papers of the AAMAS-2016 Workshops, where one paper will be selected from each AAMAS-2016 workshop. The second book will be a compilation of the best papers of the AAMAS-2016 Workshops, where again one paper (different from the selected visionary paper) will be selected from each AAMAS-2016 workshop. These papers will be selected by the PC nominated to the AAMAS workshop chairs.

Important Dates

Paper Submission Deadline: February 7, 2016

Author Notification: March 1, 2016

Conference and Workshop: May 9 or 10, 2016

Submission Instructions

Submissions will be handled by EasyChair, the site is available at

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

Organization Committee

Haris Aziz, Data61 and UNSW

Felix Brandt, Technische Universität München

David Manlove, University of Glasgow

Nicholas Mattei, Data61 and UNSW

Program Committee

Peter Biro, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences
Markus Brill, Oxford University
John P. Dickerson, Carnegie Mellon University
Edith Elkind, University of Oxford
Gabor Erdelyi, University of Siegen
Piotr Faliszewski, AGH University of Science and Technology
Rupert Freeman, Duke University
Serge Gaspers, UNSW Australia and Data61
Umberto Grandi, University Toulouse 1 Capitole
Jerome Lang, LAMSADE
Kate Larson, University of Waterloo
Omer Lev, University of Toronto
Reshef Meir, Technion-Israel Institute of Technology
Nina Narodytska, Samsung Research America
Maria Silvia Pini, University of Padova
Mark Wilson, University of Auckland
Lirong Xia, Rensselaer Polytechnic Institute (RPI)

Travel and Attendance Information

The workshop will be held in conjunction with AAMAS 2016 in Singapore. Please see the AAMAS website for more information regarding registration, travel, and accommodations:

We hope to see you there.
--Haris, Felix, David, and Nicholas.

Related Resources

AAMAS 2016   International Conference on Autonomous Agents and Multiagent Systems
IJCAI 2017   International Joint Conference on Artificial Intelligence
AAMAS 2017   International Conference on Autonomous Agents and Multiagent Systems
IROS 2017   IEEE/RSJ International Conference on Intelligent Robots and Systems
ICCAR 2017   2017 3rd IEEE International Conference on Control, Automation and Robotics (ICCAR 2017) - IEEE Xplore and Ei Compendex
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
ICMRE 2017   2017 3rd International Conference on Mechatronics and Robotics Engineering (ICMRE 2017)- Springer, Scopus
IJCNN 2017   International Joint Conference on Neural Networks
ICRCV 2017   2017 3rd International Conference on Robotics and Computer Vision (ICRCV 2017)- SCOPUS, Ei
ICAISC 2017   International Conference on Artificial Intelligence and Soft Computing