石堅青年學術論壇第2期 題目：Privacy and Utility of Geographic Data: Revealing, Evaluating, and Mitigating the Externalities of Geographic Privacy Protection
林玥博士是芝加哥大學空間數(shù)據(jù)科學中心（CSDS）的助理教學教授，分別于2015年和2023年在武漢大學與俄亥俄州立大學獲得學士和博士學位。她的研究和教學領域涵蓋地理計算、地理空間數(shù)據(jù)科學以及數(shù)字隱私與公正。目前，她致力于開發(fā)計算方法，以確保在地理空間數(shù)據(jù)的傳播和挖掘中實現(xiàn)隱私、準確性和公平性的平衡。林玥已在GIS、地理以及社會科學領域的期刊（如IJGIS、Annals of American Association of Geographers、TGIS等）和會議（如AutoCarto、GIScience）上發(fā)表12篇論文，其中以第一作者發(fā)表11篇。她曾榮獲2023年制圖與地理信息學會博士生獎學金、2023年E. Willard and Ruby S. Miller獎學金、2022年國際制圖協(xié)會獎學金、2022年Fenburr杰出博士生旅行獎學金，以及多個最佳論文獎項。
報告摘要：Geographic data is increasingly important in fields such as demography, public health, and transportation. However, the use of this data has raised privacy concerns, which have been intensified by recent technological advancements in location tracking and geospatial data analytics. Efforts to address these concerns include restricted access to data, anonymization and aggregation, and data perturbation. But these methods can limit the availability, transparency, and accuracy of geographic data, leading to externalities that affect data usage. This study proposes a methodological framework with three key components to address the externalities of geographic privacy protection: a synthetic data generator, measures to quantify privacy and utility, and spatial optimization models to find optimal solutions for producing and protecting useful geographic data. The proposed framework is validated using U.S. Census data and provides practical strategies for extending geographic privacy protection in real-world applications.
主持人：徐成東 副研究員
時 間：2023年8月10日（星期四）15:00-17:00
地 點：中國科學院地理科學與資源研究所A0847會議室
