Look forward to presentations at upcoming AAG meetings

American Association of Geographers (AAG) 2023 Annual Meeting is approaching. All the members from GEAR Lab will deliver at least one presentation at this conference. These presentations' topics, sessions, times, and locations are listed below. Welcome to their presentations and discuss with them, and look forward to their presentations!
Compounding effects of natural hazards and pandemics: a case study of winter storm Uri and Covid-19 in Texas
First Author: Heng Cai, Texas A&M University Keywords: disaster resilience, geospatial analysis,
Date: 3/23/2023
Time: 4:30 PM - 5:50 PM Mountain Time
Room: Windows, Sheraton, I.M. Pei Tower, Second Level
Understanding Human-Pandemic Dynamics using Geospatial Big Data
First Author: Lei Zou, Texas A&M University
Link to Session: Symposium on Human Dynamics Research: Understanding Human-Pandemic Dynamics using Geospatial Big Data
Date: 3/24/2023
Time: 8:30 AM - 9:50 AM Mountain Time
Room: Capitol Ballroom 2, Hyatt Regency, Fourth Floor
Note: Dr.Lei Zou will give a panel discussion after all presentations in this session.
Sensing the Pulse of the Pandemic: Demographic Disparities of Public Sentiment toward Covid-19 through Social Media
First Author: Binbin Lin, Texas A&M University Keywords: Covid-19, social media, sentiment analysis, demographic bias
Link to Session: GISS-SG Student Honors Paper Competition I
Date: 3/24/2023
Time: 12:50 PM - 2:10 PM Mountain Time
Room: Granite A, Hyatt Regency, Third Floor
Social Media Reactions Reveals Spatial and Temporal Discrepancies during Hurricanes
First Author: Bing Zhou, Texas A&M University Keywords: Natural Language Processing, Social Sensing, Disaster, GIS
Link to Session: GeoAI and Deep Learning Symposium: GeoAI for Disaster Resilience I
Date: 3/25/2023
Time: 10:20 AM - 11:40 AM Mountain Time
Room: Capitol Ballroom 3, Hyatt Regency, Fourth Floor
Simulating coastal land losses and gains using neighborhood effect optimized convolutional neural networks (NeoCNN) and cellular automata
First Author: Mingzheng Yang, Department of Geography, Texas A&M University Keywords: Coastline Dynamics, Coastal Louisiana, Neighborhood Effect, Convolutional Neural Network, Cellular Automata, Landscape Prediction
Link to Session: Symposium on Human Dynamics Research: Emerging Disaster Vulnerability, Risk, and Resilience Modeling 1
Date: 3/25/2023
Time: 2:40 PM - 4:00 PM Mountain Time
Room: Centennial Ballroom C, Hyatt Regency, Third Floor
Deciphering Spatial-Temporal Dynamics of Flood Exposure in the United States
First Author: Joynal Abedin, Texas A&M University Keywords: Flood Exposure, Urban-Rural Disparities, Flood Zone; Moran’s I, Natural Hazard, Spatial Analysis
Link to Session: Jeanne X. Kasperson Student Paper Award I
Date: 3/26/2023
Time: 12:50 PM - 2:10 PM Mountain Time
Room: Capitol Ballroom 3, Hyatt Regency, Fourth Floor
Disparities of Flood Risks in Urban Areas and Historically Marginalized Communities in Sarasota County, FL
First Author: Tarik Brown, Texas A&M University Department of Geography Keywords: Spatial analysis, flood risk assessment, historically marginalized communities
Link to Session: Jeanne X. Kasperson Student Paper Award II
Date: 3/26/2023
Time: 2:40 PM - 4:00 PM Mountain Time
Room: Capitol Ballroom 3, Hyatt Regency, Fourth Floor
Evolving Geographical Disparities of Community Disaster Resilience in the United States
First Author: Debayan Mandal, Keywords: CRIM; Disaster Risk Analysis; CyberInfrastructure;
Link to Session: HDGC Symposium: Leveraging Geospatial Technologies to Improve Climate Resilience
Date: 3/26/2023
Time: 4:30 PM - 5:50 PM Mountain Time
Room: Tower Court A, Sheraton, I.M. Pei Tower, Second Level
Social Media Data Mining with GeoAI: Opportunities and Challenges
First Author: Lei Zou, Texas A&M University Keywords: Social Media, GeoAI, Disaster Resilience, COVID-19, Responsible AI
Link to Session: Geospatial Big Data: Theory, Methods, and Applications I
Date: 3/27/2023
Time: 8:30 AM - 9:50 AM Mountain Time
Room: Governors Square 15, Sheraton, Concourse Level