Papers

To cite EMEWS, please use:
Jonathan Ozik, Nicholson Collier, Justin M. Wozniak, Carmine Spagnuolo. From Desktop to Large-Scale Model Exploration with Swift/T. Proceedings of the 2016 Winter Simulation Conference https://doi.org/10.1109/WSC.2016.7822090. 2016.
Available at: https://www.informs-sim.org/wsc16papers/019.pdf


  • Jonathan Ozik, Nicholson Collier, and Justin M. Wozniak. Many resident task computing in support of dynamic ensemble computations. Proc. Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) @ SC, 2015.

  • Jonathan Ozik, Nicholson Collier, Justin M. Wozniak, Charles Macal, Chase Cockrell, Melinda Stack, and Gary An. High performance model exploration of mutation patterns in an agent-based model of colorectal cancer Proc. Computational Approaches for Cancer @ SC, 2016. (Best workshop paper.)

  • Justin M. Wozniak, Rajeev Jain, Prasanna Balaprakash, Jonathan Ozik, Nicholson Collier, John Bauer, Fangfang Xia, Thomas Brettin, Rick Stevens, Jamaludin Mohd-Yusof, Cristina Garcia Cardona, Brian Van Essen, and Matthew Baughman. CANDLE/Supervisor: A Workflow Framework for Machine Learning Applied to Cancer Research BMC Bioinformatics 19 (18): 491. https://doi.org/10.1186/s12859-018-2508-4. 2018.

  • Jonathan Ozik, Nicholson Collier, Justin M. Wozniak, Charles Macal, Chase Cockrell, Samuel H. Friedman, Ahmadreza Ghaffarizadeh, Randy Heiland, Gary An, and Paul Macklin. High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow BMC Bioinformatics 19 (18): 483. https://doi.org/10.1186/s12859-018-2510-x. 2018.

  • Jonathan Ozik, Nicholson Collier, Justin M. Wozniak, Charles Macal, and Gary An. Extreme-Scale Dynamic Exploration of a Distributed Agent-Based Model With the EMEWS Framework IEEE Transactions on Computational Social Systems 5(3): 884–895. https://ieeexplore.ieee.org/document/8451972/. 2018.

  • Jonathan Ozik, Nicholson Collier, Randy Heiland, Gary An, and Paul Macklin. Learning-Accelerated Discovery of Immune-Tumour Interactions Molecular Systems Design & Engineering 4 (4): 747–60. https://doi.org/10.1039/C9ME00036D. 2019.

  • Carolyn Rutter, Jonathan Ozik, Maria DeYoreo, and Nicholson Collier. Microsimulation model calibration using incremental mixture approximate Bayesian computation. The Annals of Applied Statistics 13 (4): 2189–2212. https://doi.org/10.1214/19-AOAS1279. 2019.

  • Chaitanya Kaligotla, Jonathan Ozik, Nicholson Collier, Charles M. Macal, Kelly Boyd, Jennifer Makelarski, Elbert S. Huang, and Stacy T. Lindau. Model Exploration of an Information-Based Healthcare Intervention Using Parallelization and Active Learning. Journal of Artificial Societies and Social Simulation 23(4): 1. https://doi.org/10.18564/jasss.4379. 2020.

  • Jonathan Ozik, Justin M Wozniak, Nicholson Collier, Charles M Macal, and Mickaël Binois. A Population Data-Driven Workflow for COVID-19 Modeling and Learning. The International Journal of High Performance Computing Applications 35(5): 483–499. https://doi.org/10.1177/10943420211035164. 2021.

  • Luuk A. van Duuren, Jonathan Ozik, Remy Spliet, Nicholson T. Collier, Iris Lansdorp-Vogelaar, and Reinier G. S. Meester. An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening. Frontiers in Physiology 12: 718276. https://doi.org/10.3389/fphys.2021.718276. 2022.

  • Eric Tatara, Alexander Gutfraind, Nicholson T. Collier, Desarae Echevarria, Scott J. Cotler, Marian E. Major, Jonathan Ozik, Harel Dahari, and Basmattee Boodram. Modeling Hepatitis C Micro-Elimination among People Who Inject Drugs with Direct-Acting Antivirals in Metropolitan Chicago. PLOS ONE 17(3): e0264983. https://doi.org/10.1371/journal.pone.0264983. 2022.

  • Maria DeYoreo, Carolyn M. Rutter, Jonathan Ozik, and Nicholson Collier. Sequentially Calibrating a Bayesian Microsimulation Model to Incorporate New Information and Assumptions. BMC Medical Informatics and Decision Making 22(1): 12. https://doi.org/10.1186/s12911-021-01726-0. 2022.