The 2017 I-Sim Research Workshop 2017 will be held on July 31-August 2, 2017, University of Durham, UK.
The program organizers are Peter J. Haas (IBM Almaden Research Center, San Jose, USA) and Georgios Theodoropoulos (Durham University, UK).

Location: University of Durham, UK

Dates: July 31, - August 2, 2017

Theme: Towards an Ecosystem of Simulation Models and Data

Further details will be forthcoming from the workshop organizers. The workshop website is, and information will continue to be updated on the site.
Theme: Data is becoming a ubiquitous resource via, e.g., social networks, sensors, and the Internet of Things; at the same time, simulation models are increasingly complex, detailed, and large-scale. In this new world, the simulation community faces major challenges and opportunities both in exploiting available real-world data and in extracting insights from the massive data sets produced from large-scale simulation experiments. The focus of the 2017 Workshop is to promote fruitful interactions between the data science and simulation communities. Contributions are welcomed from the following non-exhaustive list of topics:

• Data assimilation into simulation models (e.g., via Kalman or particle filtering)
• Data farming and experimental design for large-scale simulation experiments
• Data-driven simulations
• Calibration of complex (e.g., agent-based), data-hungry simulations
• Use of database management systems within simulation platforms
• Provenance management for large-scale simulation experiments
• Pushing simulation into database platforms
• Metamodeling, machine-learning and visual-analytic techniques for understanding massive simulation output
• Sharing data: Collaborative modeling and simulation


Past Workshops

2007 Simulation Workshop

2009 Simulation Workshop

2011 Simulation Workshop

2015 Simulation Workshop