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I-Sim 2017

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St John's College

3 South Bailey

Durham

DH1 3RJ

United Kingdom

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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. The topics of discussion will include (but are not limited to):

  1. Data assimilation into simulation models (e.g., via Kalman or particle filtering)
  2. Data farming and experimental design for large-scale simulation experiments
  3. Online, data-driven simulations
  4. Calibration of complex, data-hungry simulations
  5. Robust simulation to handle data uncertainty
  6. Application of database technology to large scale simulations
  7. Metamodeling, machine-learning and visual-analytic techniques for understanding massive simulation output
  8. Collaborative modeling and simulation (data and model sharing, provenance management, social network tools)
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Date and Time

Location

St John's College

3 South Bailey

Durham

DH1 3RJ

United Kingdom

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