2017 Simulation Workshop

The 2017 I-Sim Research Workshop 2017 was 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

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. An non-exhaustive list of topics is below:

• 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

Presentations