US-UK WORKSHOP FOR BIOSENSING-ENABLED, WELLBEING-CENTRIC SUSTAINABLE BUILT ENVIRONMENT ECOSYSTEMS

该研讨会将汇集来自健康，计算机/数据科学，建筑，工程，建筑，社会科学和政府政策的美国和欧洲研究人员，探讨研究合作策略，以解决建筑环境中人类福祉的共同挑战。本次研讨会的重点是数据结构，数据采集和验证，前提是各种健康结构的数据分析。基于现有研究网络的优势，特别是在虚拟信息结构基础设施（VIFI）的开发方面，参与者将利用数据革命来支持以健康为中心的可持续建筑环境的数据共享，互操作性，建模，分析和可视化。讲习班的目标是提供一个论坛，为今后在所确定的主题领域开展国际合作奠定基础。美国和欧洲研究人员之间的预期合作将丰富对用于可比性和案例研究的丰富数据集的访问，并获得用于开发数据基础设施新提案的原材料。通过使用比较数据和案例研究，参与者将开始对共同的模型特征以及不同的模型特征进行推断，特别是在人类行为领域。从比较当地环境中获得的数据将有助于建立未来的情景，比较单位到社区一级的融合。这些平台还应有助于为阻碍更广泛的研究合作和开发数据驱动的决策工具的瓶颈问题提供各种解决方案。通过这次研讨会，美国研究人员与类似的研究人员和利益相关者（科学家，工程师，实业家，医疗保健专业人员等）的参与。来自欧洲的研究人员将开始对话，使美国研究人员，并最终使美国工业界能够开发多学科验证和验证模型，以帮助美国从比较研究得出的数据中做出市场和政策决策。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This workshop will bring together U.S. and European researchers from health, computer/data science, architecture, engineering, construction, social science and government policy to explore research collaboration strategies to address the common challenges in human wellbeing in the built environment. The focus for this workshop is data structure, data acquisition and validation, and the prerequisite is data analytics for various wellbeing constructs. Built upon the strengths of existing research networks, especially in development of Virtual Information Fabric Infrastructure (VIFI), the participants will harness the data revolution to support data sharing, interoperability, modeling, analysis, and visualization for wellbeing-centric sustainable built environment. The workshop targets to provide a forum to lay the foundation for future international collaboration in the theme areas identified. Anticipated collaboration among researchers from the U.S. and European researchers will enrich access to rich datasets for comparability and case studies and obtain raw materials with which to develop novel proposals on data infrastructures. By using comparative data and case studies, the participants will begin to draw inferences on common model features as well as divergent model features, especially in the area of human behavior. Data derived from comparative local environments will be instructive for building future scenarios comparing unit-to-community level integration. Those platforms should also help to enable various solutions to bottleneck problems that hinder wider research collaborations and development of data- driven decision tools. Through this workshop the engagement of U.S. researchers with similar researchers and stakeholders (scientists, engineers, industrialists, healthcare professionals, etc.) from Europe will begin a dialogue that enable U.S. researchers, and ultimately U.S. industry, to develop multidisciplinary validation and verification models to assist U.S. market and policy decisions from data derived by comparative studies. This provides an opportunity in which strategic bridges between U.S. and international networks would create mutual benefit.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.