Research Seminar: Human-Environmental Interaction - Using Crowdsourcing Human and Earth Observation Data to Quantify Tri-environments (Social, Built and Natural Environment)
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Date
31 Aug 2023
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Organiser
Department of Land Surveying and Geo-Informatics (LSGI)
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Time
16:00 - 17:30
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Venue
ZS601 Map
Speaker
Dr Siqin Sisi WANG
Enquiry
Ms Anna Choi 3400 8158 anna.choi@polyu.edu.hk
Remarks
All are welcome.
Summary
This talk focuses on human-environmental interaction, bridging human and physical geography. It covers the research outcomes of 10+ multi-disciplinary projects led by Dr Sisi Wang, involving international researchers from +20 countries. 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. In advocacy of citizen and open science, the conceptual framework, methods, and data used in Sisi’s work are highly repeatable, replicable, and reproduceable (RRR) by using RRR workflow sharable for end users without coding background.
Keynote Speaker
Dr Siqin (Sisi) Wang is Associate Professor at Spatial Sciences Institute, University of Southern California, US, double afflicted to Royal Melbourne Institute of Technology, Australia as the Adjunct Senior Lecturer and University of Queensland, Australia as the Honorary Research Fellow. She holds the PhD in Geography from University of Queensland, Australia, the Master in GIScience from Northern Illinois University, US and the Bachelor in Urban Planning from Sun Yat-Sen University, China. Her research interest is to integrate spatial science (i.e., GIS, remote sensing, spatial analysis and modelling) with big data analytics (e.g., AI, machine/deep learning, and data mining) to solve real-world problems particularly in the domain of digital health geography, computational social science, and human-environment interactions. She published 60+ peer- reviewed journal articles and book chapters. She is the principal investigator in four research projects funded by Japan Society of Promotion of Sciences, Australian Urban Research Institute and Network, and Department of Transport Seed Theme as well as the investigator in four research projects funded by Australian Research Council.
