#  Data Science Training Webinars: Spatiotemporal Simulation  

 



####  calendar\_today Date and Time 

 **June 25 - July 16, 2022** 

 09:00AM - 09:00AM EDT 

####  pin\_drop Location 

 **ONLINE**  



 

 



 

 Registration is free to the public.

 Registration: [https://www.eventbrite.com/e/data-science-webinars-spatiotemporal-simul…](https://www.eventbrite.com/e/data-science-webinars-spatiotemporal-simulation-tickets-373375114017)

 Notice: the PPTs are in English and the speech is in Chinese.

 Co-sponsored by the Center for Geographic Analysis of Harvard University, Geo-computation Center for Social Sciences, China Data Institute and Future Data Lab, the spatiotemporal simulation training webinar series is a component of the Spatial Data Lab project, which aims to provide replicable, reproducible, and expandable case studies focusing on spatiotemporal simulation. This training webinar series will cover the following topics: (1) the objectives of data analysis workflows; (2) the comparison of workflow tools for data analysis; (3) the implementation of data analysis workflows for selected case studies including telehealth accessibility evaluation, employment-residence simulation, location-allocation, and traffic simulation; and (4) potential extensions and future directions.

 Session 1：Saturday, June 25th, 2022, at 9:00-10:00pm, EST  
Chair: Shuming Bao, China Data Institute and Future Data Lab

 An Overview of Workflow Driven Spatiotemporal Simulation  
Presenter：Lingbo Liu, Harvard University

 The Workbench for Spatial Data Science: A Toolkit for Spatial Data Analysis  
Presenter：Hanchen Yu, Harvard University

 Session 2：Saturday, July 2nd, 2022, at 9:00-10:00pm, EST  
Chair: Wendy Guan, Harvard University

 Garin-Lowry Model in Simulating Urban Population and Employment Patterns  
Presenter：Hong Zhang, Yi Wang, East China Normal University

 Examining Wasteful Commuting and Allocating Healthcare Providers  
Presenter：Lingjie Hu, Wuhan University

 Session 3：Saturday, July 9th, 2022, at 9:00-10:00pm, EST  
Chair: Biyu Chen, Wuhan University

 Monte Carlo Method and Application in Urban Traffic Simulation  
Presenter：Yuxiang Zhong, Wuhan University

 Digital Humanities: An Example of KNIME-Based Workflow for Analyzing the Movement of Pre-modern Chinese Literature  
Presenter：Xiaokang Fu, Harvard University

 Session 4：Saturday, July 16th, 2022, at 9:00-10:00pm, EST  
Chair: Mengxi Zhang, Future Data Lab

 An Introduction to Urban Informatics with Some Pilot Work on Executable Journal Papers:  
Presenter：Xintao Liu , Hong Kong Polytechnic University



 

 



 

 See also:- [ China Data Webinars ](/events/china-data-webinars)
 
 

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