GeoDS Students Awards in Spring 2023

Please join us in congratulating our GeoDS lab’s PhD students and undergraduate students’ recent awards and achievements!

Yuhao Kang:

2023 Waldo-Tobler Young Researcher Award in GIScience, by the Austrian Academy of Sciences (ÖAW) Commission for GIScience to encourage scientific advancement in the disciplines of Geoinformatics and/or Geographic Information Science.

2023 CaGIS PhD Student Scholarship Award and 2023 CaGIS RISING research grant, by U.S. Cartography and Geographic Information Society (CaGIS)

Jake Kruse:

2023 Invited Presentation at the UW-Madison Day at the State Capitol of Wisconsin

Yichen Xin (Undergraduate):

2023 Undergraduate Student Winner of the Peter Gould Best Paper Award, by the AAG Health and Medical Geography Specialty Group (HMGSG)

Wen Ye (Undergraduate):

2023 Undergraduate Fellows Seminar, Hilldale Undergraduate/Faculty Research Fellowships by UW-Madison

Sessions at the 2023 AAG GeoAI Symposium

Sessions at the 2023 AAG GeoAI Symposium (PDF download)

Symposium Lead Organizers:

Yingjie Hu, University at Buffalo

Song Gao, University of Wisconsin, Madison

Wenwen Li, Arizona State University

Dalton Lunga, Oak Ridge National Laboratory

Orhun Aydin, Saint Louis University

Shawn Newsam, University of California, Merced

3/23/2023, Thursday

GeoAI and Deep Learning Symposium: GeoAI for Feature Detection and Recognition 

GeoAI and Deep Learning Symposium: Deploying AI for Geospatial Data and Remote Sensing: Advances, Challenges and Obstacles 

GeoAI and Deep Learning Symposium: A 5-year Milestone: Advances and Limitations in GeoAI Research So Far 

  • Session Link: https://aag.secure-platform.com/aag2023/solicitations/39/sessiongallery/5663
  • Organizers: Yingjie Hu, Song Gao, Wenwen Li, Dalton Lunga, Orhun Aydin, and Shawn Newsame
  • Panelists: Michael Goodchild, University of California Santa Barbara, A-Xing Zhu, University of Wisconsin, Madison, May Yuan, University of Texas Dallas, Orhun Aydin, Saint Louis University, Budhendra Bhaduri, Oak Ridge National Laboratory)
  • Date: 3/23/2023 (Thursday)
  • Time: 12:50 PM – 2:10 PM Mountain Time
  • Room: Capitol Ballroom 1, Hyatt Regency, Fourth Floor

GeoAI and Deep Learning Symposium: Emerging Geo-Data Applications in Human Mobility Analysis 

GeoAI and Deep Learning Symposium: GeoAI for Cartography and Mapping 

3/24/2023, Friday

GeoAI and Deep Learning Symposium: Spatial Data Science for Ecosystem Conservation and Biodiversity

GeoAI and Deep Learning Symposium: Spatially Explicit Machine Learning and Artificial Intelligence I

GeoAI and Deep Learning Symposium: Spatially Explicit Machine Learning and Artificial Intelligence II

GeoAI and Deep Learning Symposium: Spatially Explicit Machine Learning and Artificial Intelligence III

3/25/2023, Saturday

GeoAI and Deep Learning Symposium: Intelligent Geospatial Analytics 

GeoAI and Deep Learning Symposium: GeoAI for Disaster Resilience 

3/26/2023, Sunday

GeoAI and Deep Learning Symposium: Urban Visual Intelligence 

GeoAI and Deep Learning Symposium: Geoprivacy and Ethics in Geospatial Data and GeoAI 

Program Committee:

Sean C. Ahearn, Hunter College — CUNY 

Samantha T. Arundel, US Geological Survey

Orhun Aydin, Saint Louis University

Andrea Ballatore, King’s College London

Budhendra Bhaduri, Oak Ridge National Lab

Ling Bian, University at Buffalo

Kai Cao, East China Normal University

Guofeng Cao, University of Colorado, Boulder

Yao-Yi Chiang, University of Minnesota-Twin Cities

Somayeh Dodge, University of California Santa Barbara

Chen-Chieh Feng, National University of Singapore

Amy Frazier, Arizona State University

Michael F. Goodchild, University of California, Santa Barbara

Majid Hojati, Wilfrid Laurier University

Yingjie Hu, University at Buffalo

Xiao Huang, University of Arkansas

Qunying Huang, University of Wisconsin, Madison

Jamon Van Den Hoek, Oregon State University 

Krzysztof Janowicz, University of Vienna & University of California, Santa Barbara

Chaogui Kang, China University of Geosciences

Yuhao Kang, University of Wisconsin, Madison

Carsten Keßler, Aalborg University Copenhagen

Morteza Karimzadeh, University of Colorado Boulder

Jina Kim, University of Minnesota

Junghwan Kim, Virginia Tech

Nina Lam, Louisiana State University

Xiaojiang Li, Temple University

Wenwen Li, Arizona State University

Xiao Li, University of Oxford

Yu Liu, Peking University, China

Tao Liu, Michigan Technological University

Grant McKenzie, McGill University

Antonio Medrano, Texas A&M University Corpus Christi

Gengchen Mai, University of Georgia

Yi Qiang, University of South Florida

Alex Sorokine, Oak Ridge National Lab

Avipsa Roy, University of California, Irvine

Kathleen Stewart, University of Maryland, College Park

Marcela Suárez, Penn State University

Wenwu Tang, University of North Carolina at Charlotte

Daoqin Tong, Arizona State University

Ming-Hsiang Tsou, San Diego State University

Mingshu Wang, University of Glasgow

Shaohua Wang, Chinese Academy of Sciences

Shaowen Wang, University of Illinois, Urbana-Champaign

Zhangyu Wang, University of California Santa Barbara

Dawn Wright, Esri Inc.

Hsiuhan (Lexie) Yang, Oak Ridge National Laboratory

Haowen Xu, Oak Ridge National Laboratory

Angela Yao, University of Georgia

Xinyue Ye, Texas A&M University

Eun-Hye Enki Yoo, University at Buffalo

Manzhu Yu, Penn State University

May Yuan, University of Texas at Dallas

Fan Zhang, Hong Kong University of Science and Technology

Hongyu Zhang, McGill University

Bo Zhao, University of Washington

A-Xing Zhu, University of Wisconsin, Madison

Di Zhu, University of Minnesota, Twin Cities

Lei Zou, Texas A&M University

This symposium is sponsored by: AAG GISS, CI and SAM specialty groups

Geospatial Data Science Speaker Series Spring 2023

Dear colleagues and students, 

Greetings!  I am very glad to invite you to mark your calendar for joining the forthcoming Geospatial Data Science Speaker Series Spring 2023 events, which are hosted by the GeoDS lab in Geography and co-sponsored by the Data Science Institute, UniverCity Alliance, and GISPP @UW-Madison.  We will have Dr. Filip Biljecki, the Director of Urban Analytics Lab from the National University of Singapore visit UW-Madison 11:45 a.m.-1 p.m., on March 28, 2023 (Tue), Science Hall 110 and Dr. Fabio Duarte from the MIT Senseable City Lab on April 13 (Thur), Science Hall 140. Pizza lunch and coffee will be provided in the events. 

Prof. Gao joins the Associate Editors team of IJGIS

Recently, Prof. Song Gao was invited to join the Associate Editors team of International Journal of Geographical Information Science (IJGIS), which is a flagship international journal for publishing geographic information systems/science related research. Dr. Gao’s service term starts from January 1st, 2023.

Aims and Scope

The aim of International Journal of Geographical Information Science is to provide a forum for the exchange of original ideas, approaches, methods and experiences in the field of GIScience.

International Journal of Geographical Information Science covers the following topics:

  • Innovations and novel applications of GIScience in natural resources, social systems and the built environment
  • Relevant developments in computer science, cartography, surveying, geography, and engineering
  • Fundamental and computational issues of geographic information
  • The design, implementation and use of geographical information for monitoring, prediction and decision making

Prof. Song Gao was named the Highly Cited Researcher

Prof. Song Gao is on this year’s list of Global Highly Cited Researchers List of 2022 and the only scholar from UW-Madison listed in the category of Social Sciences. Kudos to his colleagues, students, and mentors!

On November 15 2022, Clarivate revealed its 2022 list of Highly Cited Researchers™ – individuals at universities, research institutes and commercial organizations who have demonstrated a disproportionate level of significant and broad influence in their field or fields of research. The methodology draws on data from the Web of Science™ citation index, together with analysis performed by bibliometric experts and data scientists at the Institute for Scientific Information (ISI)™ at Clarivate. ISI analysts have awarded Highly Cited Researcher 2022 designations to 6,938 researchers from across the globe who demonstrated significant influence in their chosen field or fields over the last decade. ISI analyzed all papers published and cited between 2011 and 2021, determining which authors ranked in the top 1% of cited papers in each field. The list is truly global, spanning 69 countries or regions and spread across a diverse range of research fields in the sciences and social sciences.

Prof. Gao is also on the list of top 2% highly cited scientists based on Stanford University’s analysis of Scopus data provided by Elsevier.

UW-Madison Research News: https://research.wisc.edu/uncategorized/2022/11/22/uw-madison-faculty-make-strong-showing-on-global-highly-cited-researchers-list/