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.

Submission Information

Submission deadline: February 15, 2019

To submit your paper, please click on the following link and create a free account:

LaTeX is the preferred file format for paper submissions. MS Word is acceptable if you must. Please refer to the information and templates provided below:

For any questions, please contact Jeff Lawson at

Conference Committee

Chair: Paul R. Cohen, 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, ENS Paris
  • Emek Demir, Oregon Health & Sciences University
  • 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
  • Natasa Miskov-Zivanov, University of Pittsburgh
  • Clayton T. Morrison, University of Arizona
  • Dan Northrup, Booz Allen Hamilton
  • Tim Oates, University of Maryland Baltimore County
  • Marilee Orr, Cybersecurity and Infrastructure Security Agency
  • 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