主题            Human-Environmental Interaction via GeoAI in the era of Open Science

开放科学时代基于地理人工智能的人环互动

活动时间   2025年6月30日（周一）上午9:00-12:00

活动地址   文俊东406

主讲人      王思琴副教授，美国南加州大学

主持人      黄琼宇教授，成人短视频

主办单位   成人短视频

嘉宾简介

Dr Siqin (Sisi) Wang is Associate Professor at Spatial Sciences Institute, University of Southern California, US, double afflicted to University of Queensland and Royal Melbourne Institute of Technology, Australia as Adjunct Associate Professor. Her current professional roles include service as the Associated Chair of the Spatial Data Lab affiliated with Harvard Centre for Geographic Analysis and visiting scholar of MIT Sensable City Lab. Her research interest is computational social science and human-environment interactions via GeoAI and advanced spatial simulation, where she has 100+ publications. Her work were funded by US NIH, NSF, Japan Society of Promotion of Sciences, Australian Urban Research Institute and Network, and IEEE Geoscience and Remote Sensing Society (GRSS) chapter of Morocco. She was awarded as Geospatial World 50 Rising Stars, International Geographic Union - Modelling Geographical Systems Commission (IGU-MGSC) Excellent Young Scholar Award, and Top 20 Global Frontier Science and Technology Young Scientist Award, and the US Presidential Volunteer Service Award.

王思琴博士是美国南加州大学空间科学研究所的副教授，同时兼任澳大利亚昆士兰大学和皇家墨尔本理工大学的客座副教授。她担任哈佛大学地理分析中心空间数据实验室的副主席和麻省理工成人短视频 感知城市实验室的访问学者。她的研究兴趣是通过空间人工智能和高级空间模拟，研究计算性社会科学和人与环境的相互作用，她在该领域发表了 100 多篇出版物。她的工作受到美国国家卫生研究院、日本学术振兴会、澳大利亚城市研究所与网络以及 IEEE 地球科学和遥感学会资助。她曾荣获地理空间世界 50 大新秀奖、国际地理联会建模空间系统优秀青年学者奖、全球 20 大前沿科技青年科学家奖和美国总统志愿者服务奖。

讲座简介

This talk focuses on human-environmental interaction, covering the research outcomes of 10+ multi-disciplinary projects led by Dr Wang. In the human side, Sisi’s work extensively utilized crowdsourcing human observation data (e.g., social media data and mobile signal data) and GeoAI techniques to quantify human behaviors in different geographic contexts – the public’s mental reaction to the pandemic and their options to COVID vaccination in Australia, US and 218 countries globally as well as people’s suicidal ideation in Japan. In the environmental side, Sisi’s team developed a tri-environmental (social, built and natural environment) conceptual framework and utilized Earth observation data (e.g., remote sensing imageries, open street maps, street view data) to quantify tri-environment and complex confounders involved in the human-environmental interaction. She led the Spatial Data Lab team affiliated to Harvard Center for Geographic Analysis to develop 90+ open-access datasets in Harvard Dataverse with more than 2 million downloads, 70+ repeatable, reproducible and replicable (RRR) workflows with more than 6,000 downloads. She initiated the SDL internship/fellowship program, involving 100+ students in 20+ countries.

本次报告聚焦人环互动，涵盖了王博士领导的十多个跨学科项目的研究成果。在人文方面，她的研究广泛利用众筹人类观察数据（例如社交媒体和手机信令数据）和地理人工智能，量化人类行为——例如澳大利亚、美国和全球218个国家公众对疫情的心理反应，新冠疫苗接种选择，以及日本民众的自杀倾向。在环境方面，她的团队建立了一个三重环境（社会环境、建筑环境和自然环境）概念框架，并利用地球观测数据（例如遥感影像、开放街景数据）来量化人地互动中的复杂混杂因素。其团队发表了90多个开放访问数据集（下载量超过200万次）和70多个可重复性工作流程（下载量超过6000次）。她发起哈佛地理分析中心空间数据实验室 学生科研实习项目，吸引了20多个国家的100多名学生参与。