Monday, April 15, 2019

[DMANET] CPAIOR 2019: Call for Participation

** Apologies for cross-posting **

The 16th International Conference on the Integration of Constraint
Programming, Artificial Intelligence, and Operations Research will be held
in Thessaloniki, Greece, June 4 – 7, 2019.

http://cpaior2019.uowm.gr/

*** Early Registration Deadline: April 22nd, 2019 ***

CONFERENCE:

The aim of the conference is to bring together interested researchers from
Constraint Programming (CP), Artificial Intelligence (AI), and Operations
Research (OR) to present new techniques or applications and to provide an
opportunity for researchers in one area to learn about techniques in the
others. A main objective of this conference series is also to give these
researchers the opportunity to show how the integration of techniques from
different fields can lead to interesting results on large and complex
problems. Therefore, papers that actively combine, integrate, or contrast
approaches from more than one of the areas are especially solicited. High
quality papers from a single area are also welcome, if they are of interest
to other communities involved. Application papers showcasing CP/AI/OR
techniques on novel and challenging applications or experience reports on
such applications are strongly encouraged.

The full program of the conference can be found here:
http://cpaior2019.uowm.gr/wp-content/uploads/program.pdf

The invited talk will be given by :

Thomas Schiex (INRA): *Optimization in Graphical Models*
Zico Kolter (CMU): *Leveraging optimization and convexity within deep
learning*
Tobias Achterberg (Gurobi): *Product in Mixed Integer Programming*
Martine Labbé (Université Libre de Bruxelles): *Bilevel optimization,
Stackelberg games and pricing problems*


MASTER CLASS:

In the last two decades, significant advances have been made in the fields
of CP, AI, and OR. Recently, systems relying on these technologies are
being transitioned to the field with the potential of having tremendous
influences on people and society. In particular, they are being
successfully leveraged in diverse ways for social good to help make a
positive impact on society, e.g., to mitigate the impact of humanitarian
crises (disaster resilience and response), to support decision-making in
healthcare, to protect natural resources, and to assist resource allocation
in marginalized communities. With increase in the scale and diversity of
open world deployments come several challenges, including complex
constraints, data scarcity and bias, uncertainty and ambiguity, ethical
considerations, and issues of shared responsibility between humans and
algorithms.

In the master class, leaders in the fields of CP, AI, and OR for Social
Good will discuss case studies from their own research to raise awareness
about this emerging line of work among the next generation of researchers.
The line-up of speakers include :

John Hooker (CMU): *Optimization Models for Social Justice*
Sibel Salman (Koc):* Modeling Equity in Optimization and of Humanitarian
Operations*
Joann de Zegher (MIT): *Optimizing Informal Supply Chains*
Bistra Dilkina (USC): *AI and OR for Conservation*
Phebe Vayanos (USC): *Robust and Active Preference Elicitation to Learn the
Moral Priorities of Policy-Makers at LAHSA,*
J. Christopher Beck (UofT): *AI and OR for Social Services Engineering *
Marie-Ève Rancourt (HEC Montréal): *Applied Network Design Problems to
Support Humanitarian Operations*
Pascal Van Hentenryck (Georgia Tech):* Evacuation Planning and Mitigation
Measures for Flood Disasters*

-

Andre Augusto Cire
Assistant Professor in Operations Management
Department of Management, University of Toronto Scarborough
Rotman School of Management (cross-appoint.)
Phone: +1-416-208-4838 (UTSC), +1-416-978-5454 (Rotman)
acire@utsc.utoronto.ca

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