The 3rd ISDE International Lectures’ Exposure Hit Record High

On March 21st, 2023, the 3rd ISDE International Lectures was successfully convened online, enlightening the attendees on the theme of “Human Mobility Analytics in the Big Data Era”. Thanks to the multi-channel exposure, this time’s lecture got more eyes on its discernment in the challenges of, approaches to and feasible techniques for the human mobility measurement, the applications of location-aware mobile device data to travel pattern analysis, as well as the ensuring regularity and privacy issues in human mobility research. Three renowned experts from the United States were invited to deliver lectures. Prof. Zhenlong Li, the Director of the Center for GIScience and Geospatial Big Data at the University of South Carolina, USA illuminated the topic of “Measuring Human Mobility with Big Geosocial Data: Challenges and Approaches”. He, first and foremost, started the lecture with the comparison between a NASA world map with night lights (remote sensing) and a world map with geotagged tweets (social sensing). In the application of geosocial data to human mobility analytics, Prof. Li thought that it was inevitable to encounter challenges including computational challenges, bias or representativeness issues and privacy concerns. To better track and integrate multi-scale human mobility data, the Origin-Destination-Time (ODT) Flow Platform with quite a few application scenarios was brought in, as well as an interactive and visualized spatial web portal ODT Flow Explorer. His lecture ended with the blueprint and prospect of the ODT Flow Platform. Prof. Kathleen Stewart from University of Maryland, USA gave a lecture on “Travel Behavior Pattern Analysis Using Passively Collected Location-aware Mobile Device Data”. She expatiated on three case studies and the relevant examining methods of their naturalistic driving behaviors. The studies include speeding behavior analysis, driving behavior analysis associated with parking, and travel time estimation. And the data collection and calculation methods in the analysis process were also discussed. She pointed out the great importance of the passively collected location-aware mobile device data, and believed that they brought both opportunities and new challenges, like massive data volume, sampling errors, duplicated waypoints and others. Prof. Stewart insisted that biases, such as technology differences and sample sizes, needed to be considered and analyzed so as to present more reasonable mobility trends and patterns.  Prof. Song Gao from University of Wisconsin-Madison, USA, delivered a lecture on “Understanding the Regularity and Privacy Issues in Human Mobility Research”. His lecture included two parts, one focusing on the regularity research of human mobility patterns, and the other dwelling on the geoprivacy protection methods. By finding out the underlying mechanism of daily human mobility patterns, a network structure was built to sketch out three types of motifs, i.e. location motif, activity motif and routing models. When it came to privacy issues, Prof. Gao introduced the definition of geoprivacy and feasible protection methods. He emphasized the remarkable performance of LSTM-TrajGAN Model and the application of GeoAI approaches to human mobility prediction. The 3rd ISDE International Lectures was moderated by Prof. Xinyue Ye, Elected Fellow of American Association of Geographers (AAG) with Harold L. Adams Endowed Professorship at Texas A&M University, USA. Over 5,100 participants worldwide attended the event through Zoom, ISDE Bilibili platform and other academic streaming platforms. The ISDE International Lectures are organized by the International Society for Digital Earth (ISDE) and supported by the International Research Center of Big Data for Sustainable Development Goals (CBAS). It is a series of online events which feature invited lectures by well-known international experts in the field of Digital Earth. The event will invite speakers to give lectures every two months. The purpose of the events is to bring international scholars in the relevant research fields of Digital Earth together to exchange academic perspectives, share research results, and disseminate the most cutting-edge and authoritative concept of Digital Earth. istarshine_translate: 第三届ISDE国际演讲的曝光创纪录 2023年3月21日，第三届ISDE国际讲座成功地在线召开，启发了与会者“大数据时代的人类流动分析”主题。得益于多通道的曝光，这次的演讲更多地关注了它在人类移动性测量的挑战，方法和可行技术方面的识别，位置感知的移动设备数据在旅行模式分析中的应用以及确保人类流动研究中的规律性和隐私问题。邀请来自美国的三名著名专家发表讲座。美国南卡罗来纳大学的Giscience and Geospatial Big Data中心主任李·李（Zhenlong Li）教授阐明了“通过大型地理数据来衡量人类流动性的话题：挑战和方法”。他首先开始了演讲，并在NASA世界地图上进行了夜灯（遥感）和带有地理标记推文（社交传感）的世界地图之间的比较。李教授认为，地球社会数据应用于人类流动性分析，认为不可避免地会遇到挑战，包括计算挑战，偏见或代表性问题和隐私问题。为了更好地跟踪和集成多尺度的人类移动性数据，引入了带有许多应用程序场景的原点目的地时间（ODT）流程平台，以及交互式和可视化的空间网站门户ODT Flow Explorer。他的演讲以ODT流平台的蓝图和前景结束。美国马里兰州大学的凯瑟琳·斯图尔特（Kathleen Stewart）教授就“使用被动收集的位置感知的移动设备数据进行了旅行行为模式分析”演讲。她在三个案例研究中透露了其自然主义驾驶行为的相关检查方法。研究包括超速行为分析，与停车相关的驾驶行为分析以及旅行时间估计。还讨论了分析过程中的数据收集和计算方法。她指出了被动收集的位置感知移动设备数据的重要性，并认为他们带来了机会和新的挑战，例如大量数据量，采样错误，重复的航点等。斯图尔特教授坚持认为，需要考虑和分析诸如技术差异和样本量之类的偏见，以提出更合理的流动性趋势和模式。美国威斯康星大学麦迪逊分校的Song Gao教授发表了有关“了解人类流动研究中的规律性和隐私问题”的演讲。他的演讲包括两个部分，一个重点是对人类流动性模式的规律性研究，另一部分则介绍了地理保护保护方法的另一部分。通过找出每日人类流动性模式的基本机制，建立了网络结构，以勾勒出三种类型的图案，即位置主题，活动主题和路由模型。当谈到隐私问题时，GAO教授介绍了地理位置和可行保护方法的定义。他强调了LSTM-TRAJGAN模型的出色表现以及GEOAI方法在人类流动性预测中的应用。第三届ISDE国际讲座由美国地理学家协会（AAG）的副研究员Xinyue Ye教授与Harold L. Adams授予了美国德克萨斯州A＆M大学的教授职位。全世界有超过5100名参与者通过Zoom，ISDE Bilibili平台和其他学术流媒体平台参加了活动。ISDE国际讲座由国际数字地球学会（ISDE）组织，并得到国际可持续发展目标大数据研究中心（CBA）的支持。这是一系列在线活动，其中包括数字地球领域著名国际专家的邀请演讲。该活动将邀请演讲者每两个月进行一次讲座。事件的目的是将国际学者在相关的数字地球研究领域聚集在一起，以交换学术观点，分享研究结果并传播数字地球的最尖端和权威的概念。