Workshop: Towards an Ecosystem of Simulation Models and Data; 5th INFORMS Simulation Society Research Workshop; University of Durham, United Kingdom; July 31 to August 2, 2017

本次研讨会的目的是将来自数字仿真和数据科学领域的研究人员和学生聚集在一起，以加速这些不同但重叠的技术的协调。来自不同来源（传感器、社交网络、物联网）的无处不在的数据，以及用于机器学习、视觉分析、协作建模和分析的不断发展的数据科学技术，为改变模拟实践提供了巨大的潜力，这两个领域对于理解和进一步发展数据驱动的决策支持系统至关重要。随着数据成为一种无处不在的资源，仿真模型变得越来越复杂，仿真社区在利用可用的真实世界数据和从大规模仿真实验产生的大量数据集中提取见解方面面临着重大挑战和机遇。来自两个研究社区的科学融合有望解决两个领域的主要研究问题，例如克服数据驱动的障碍，在线模拟，吸收和纠正来自多个来源的数据，模拟输入的不确定性，以及将机器学习创新纳入模拟。该奖项将支持研究生的参与，他们将成为模拟社区的下一代领导者。本次研讨会将于2017年7月31日至8月2日在英国达勒姆大学举行。它由三位领先的仿真研究人员组织，汇集了来自仿真和数据科学的知识领袖，围绕数据同化，数据农业，在线数据驱动仿真，鲁棒仿真，数据库技术，元建模，机器学习，模型校准以及协作建模和仿真等主题。研讨会组织者确定了八个主题领域，重点研究小组将介绍和反思这些领域的新兴研究，并确定未来研究的重要方向。讲习班将通过诸如业务研究和管理科学研究所、美国统计协会和计算机械协会等主要专业学会广泛推广。研究结果将通过《美国计算机学会建模与计算机模拟汇刊》特刊广泛传播。

The objective of this workshop is to bring together researchers and students from the domains of digital simulation and data science to accelerate the concordance of these distinct but overlapping technologies. The ubiquity of data from diverse sources (sensors, social networks, Internet of Things) and evolving data-science technologies for machine learning, visual analytics, and collaborative modeling and analysis present great potential for transforming simulation practice, and both domains are crucial to the understanding and further evolution of data-driven decision support systems. As data become a ubiquitous resource, and simulation models become increasing complex, the simulation community faces major challenges and opportunities in both exploiting available real-world data and in extracting insights from the massive data sets produced from large-scale simulation experiments. The convergence of science from both research communities holds promise for tackling major research questions in both fields, such as overcoming barriers to data-driven, online simulation, assimilating and correcting data from multiple sources, simulation input uncertainty, and incorporating machine learning innovations into simulation. This award will support the participation of graduate students who will become the next generation of leaders in the simulation community.This workshop will be held at the University of Durham in the UK from July 31-August 2, 2017. It is organized by three leading simulation researchers and brings together intellectual leaders from both simulation and data science around such topics as data assimilation, data farming, online data-driven simulations, robust simulation, database technology, metamodeling, machine learning, model calibration, and collaborative modeling and simulation. The workshop organizers have identified eight topic areas, and focused groups of researchers will present and reflect upon emerging research in these areas and identify important directions for future research. The workshop will be broadly promoted through major professional societies such as the Institute for Operations Research and the Management Sciences (INFORMS), the American Statistical Association (ASA) and the Association for Computing Machinery (ACM). Results will be widely disseminated through a special issue of the ACM Transactions on Modeling and Computer Simulation.