Call for Papers: ADT 2019

The International Research Group on Algorithmic Decision Theory
(CNRS/GDRI ALGODEC) in collaboration with the EURO working group on
preference handling is proud to announce:

ADT 2019, the 6th International Conference on
Algorithmic Decision Theory

25–27 October 2019
Duke University, Durham, NC, USA

https://conferences.fuqua.duke.edu/adt/

The ADT 2019 conference focus is on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of Computer Science, Economics and Operations Research in order to improve the theory and practice of modern decision support.  The conference topics include research in Algorithms, Argumentation Theory, Artificial Intelligence, Computational Social Choice, Database Systems, Decision Analysis, Discrete Mathematics, Game Theory, Machine Learning, Matching, Multi-agent Systems, Multiple Criteria Decision Aiding, Networks, Optimization, Risk Management, and Utility Theory.

ADT 2019 provides a multi-disciplinary forum for sharing knowledge in this area with a special focus on algorithmic issues in Decision Theory, continuing tradition of the first five International Conferences on Algorithmic Decision Theory (ADT 2009 Venice, ADT 2011 Rutgers, ADT 2013 Brussels, ADT 2015 Lexington, ADT 2017 Luxembourg)  which brought together researchers and practitioners from diverse areas of computer science, economics, and operations research from around the globe.

Important Dates:

Title and abstract submission: April 14, 2019 (extended)
Full paper submission: April 21, 2019  (extended)
Notification: June 17, 2019 
Final version of accepted papers: July 1, 2019 
ADT 2019 Conference: October 25–27, 2019

Submission:

Submissions for proceedings: Submissions are invited on significant, original, and previously unpublished research on all aspects of Algorithmic Decision Theory. Papers must be at most 15 pages long in the LNCS format (including references). The formal proceedings of ADT 2017 will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence (LNAI) series: http://www.springer.com/lncs. Papers of this type will be accepted for either oral or poster presentation, or both. However, no distinction will be made between accepted papers in the conference proceedings.

Submissions without proceedings: Submissions are invited on significant recent results on Algorithmic Decision Theory. Papers must be at most 15 pages long (including references). They will not appear in the proceedings and can be submitted elsewhere. Selected papers in this category will be accepted for either oral or poster presentation, or both. Authors are required to write “submission without proceedings” into the author field of their paper (instead of author names) if they choose this category; otherwise, it will be assumed by default that their paper is submitted in the first category (submissions for proceedings). For both types of submission, authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Note that at least one author of each accepted paper is required to attend the conference to present the work. Authors will be required to agree to this requirement at the time of submission. For submission of Type 1 we note that Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, will need to complete and sign a Consent-to-Publish form, through which the copyright for their paper is transferred to Springer.

All papers will be peer-reviewed by a double-blind procedure. Therefore, papers must be submitted *anonymously* as pdf via the EasyChair system: https://easychair.org/conferences/?conf=adt2019It is is important and required that authors do not reveal their identities in submitted papers.

Program Committee:

Ali Abbas, University of Southern California

Alessandro Arlotto, Duke University

Haris Aziz, Data61, CSIRO and UNSW

Sylvain Bouveret, LIG – Grenoble INP, Université Grenoble-Alpes

Robert Bredereck, TU Berlin

Katarina Cechlarova, PF UPJS Kosice

Edith Elkind, University of Oxford

Piotr Faliszewski, AGH University of Science and Technology

Judy Goldsmith, University of Kentucky

Umberto Grandi, University of Toulouse

Jérôme Lang, CNRS, LAMSADE, Université Paris-Dauphine

Ali Makhdoumi, Duke University

Azarakhsh Malekian, University of Toronto

Nicholas Mattei, Tulane University

Sasa Pekec, Duke University (Program co-chair)

Hans Peters, Maastricht University

Maria Silvia Pini, University of Padova

Marc Pirlot, Université de Mons

Luca Rigotti, University of Pittsburgh

Fred Roberts, Rutgers University

Francesca Rossi, IBM

Jörg Rothe, Universität Düsseldorf

Alexis Tsoukias, CNRS – LAMSADE

Kristen Brent Venable, Tulane University and IHMC (Program co-chair)

Paolo Viappiani, CNRS and LIP6, Univ Pierre et Marie Curie

Toby Walsh, The University of New South Wales

Gerhard J. Woeginger, RWTH Aachen University

Stefan Woltran, Vienna University of Technology

Lirong Xia, RPI

Sasa Zorc, University of Virginia

Organizing Committee:

Vince Conitzer (Duke University, NC, USA)

Sasa Pekec (Duke University, NC, USA, Chair)

Alexis Tsoukiàs (LAMSADE, Université Paris-Dauphine, France)

K. Brent Venable (Tulane University and IHMC, USA)

Conference Venue:

ADT 2019 will be held at The Fuqua School, of Business at Duke University in Durham, NC.

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Best regards,

K. Brent Venable (Program Chair of ADT 2019)

Sasa Pekec (Program Co-Chair of ADT 2019)