Modeling the World’s Systems
http://www.pittmodelingconference.sci.pitt.edu/
May 13-15 Washington DC
Call for Papers
Submission Deadline – February 1, 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 1, 2019.
Modeling the World’s Systems 2019 Conference Committee
Paul R. Cohen - Chair
University of Pittsburgh
John A. Bachman
Harvard Medical School
Riza Batista-Navarro
University of Manchester
Richard (Rick) Bertz
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
University of Pittsburgh