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MWS 2019 : Modeling the World's Systems

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Link: http://pittmodelingconference.sci.pitt.edu/
 
When May 13, 2019 - May 15, 2019
Where Washington DC
Submission Deadline Feb 15, 2019
Categories    policy decision making   artificial intelligence   systems science   modeling
 

Call For Papers

Modeling the World's Systems
http://www.pittmodelingconference.sci.pitt.edu/
May 13-15 Washington DC

Call for Papers

Submission Deadline – February 15, 2019

Modeling the World's Systems (MWS19) is about the science, technology and applications of modeling and managing complicated, interacting systems, at all scales (from molecular to global processes) and in multiple domains. Challenges such as food insecurity, land use, managing patients with complex conditions, urban renewal and gentrification, and drug development for poorly understood conditions such as Alzheimer's Disease all require models of complicated, interacting processes.

Building and maintaining models is human-intensive work. The premise of MWS is that many aspects of modeling that are today done exclusively by humans can be automated to some extent and improved by computing and information technology. Examples include machine reading to extract "causal nuggets" from papers, ontology alignment to facilitate integrating legacy models, machine learning of lightweight proxy models, theoretical work to unify modeling paradigms, workflow support and software stacks optimized for modeling, and so on.

MWS has three goals:

• Bring together modelers with diverse stakeholders in government, industry and non-profits around important use cases;
• Share new developments in the science and technology of modeling and model-based management of complicated, interacting systems;
• Share modeling resources and data to promote the development of modeling technology and model-based management.

The inaugural conference, MWS18, featured sessions on the opioid crisis, urban systems, social investing, global and national security, and the biology of ageing; as well as tutorials on modeling technologies.

MWS19 will feature refereed papers and posters in addition to invited sessions. Topics for papers and posters include:

• Technologies to accelerate and improve modeling;
• General theoretical and algorithmic results in modeling, ideally supported by empirical results;
• Mature and shareable modeling frameworks and data corpora, steps toward model and data commons, etc;
• High-impact use cases that demonstrate the practical value of modeling, lessons learned by modelers, novel modeling technologies, etc.;
• Meta-modeling issues such as model description languages, provenance, validation and replicability.

The primary review criterion is: "Does this paper/poster hasten the day when important policy and management decisions are informed by models?" MWS is interested in shareable modeling resources and technologies, not in small, simple examples or minor technological tweaks.

MWS will review papers and, with the author's permission, distribute them in a technical report to attendees. Technical reports are not formal publications, so authors can publish their work elsewhere.

Conference Website:

http://www.pittmodelingconference.sci.pitt.edu/

To submit your paper please click on the following link:

https://momacs2019.exordo.com/

Please provide your preferred email address and create an account using the password of your choice.

When logged in you will see a link to submit papers with information on submission.

For any questions please contact Jeff Lawson at jrlawson@pitt.edu.

The deadline to submit papers is February 15, 2019.


Modeling the World’s Systems 2019 Conference Committee

Paul R. Cohen - Chair
University of Pittsburgh

John A. Bachman, Ph.D.
Harvard Medical School

Riza Batista-Navarro, PhD
University of Manchester

Richard (Rick) Bertz, PhD
University of Pittsburgh

Adam Bly
System

Jonathan Briggs
Canada Pension Plan Investment Board

Bruce Childers
University of Pittsburgh

Panos K. Chrysanthis
University of Pittsburgh

Allegra Argent Beal Cohen
University of Florida

Michael Colaresi
University of Pittsburgh

Gregory Cooper
University of Pittsburgh

Matthew F. Dabkowski
Department of Systems Engineering, USMA

Vincent Danos
CNRS, ENS Paris

Emek Demir
OHSU Computational Biology

James Donlon
National Science Foundation

David N. Finegold, M.D
University of Pittsburgh

Professor Nigel Gilbert
University of Surrey, UK

Bob Gradeck
University of Pittsburgh Center for Social and Urban Research
Western Pennsylvania Regional Data Center

Benjamin M. Gyori
Harvard Medical School

Lynette Hirschman
The MITRE Corporation

Gerrit Hoogenboom
University of Florida

Prashant Krishnamurthy
University of Pittsburgh

Clayton T. Morrison
University of Arizona

Dan Northrup
Booz Allen Hamilton

Tim Oates
University of Maryland Baltimore County

Adam Perer
Carnegie Mellon University

Matthew Peterson
The MITRE Corporation

Mark Roberts
University of Pittsburgh

Aaron Sisto
Technologist

Mihai Surdeanu
University of Arizona

Robert St. Amant
Army Research Laboratory

Stephen Smith
Carnegie Mellon University

Choh Man Teng
Institute for Human and Machine Cognition

Wilbert van Panhuis, MD PhD
University of Pittsburgh

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