*Time zone: PST
Location: Zoom meeting room
GeoSim 2020 Proceedings: ACM Digital Library
| 08:00-08:15 PST | Opening Remarks |
| 08:15-09:55 PST | Session 1 |
| 08:15-08:35 PST | Spatial Analysis Of Border Closure Intervention Scheme In Conflict-Induced Displacement |
| Zahra Jafari (University College London), Toby Davies (University College London), Shane Johnson (University College London) | |
| 08:35-08:55 PST | A Sequential Sampling Model of Pedestrian Road Crossing Choice |
| Obi Thompson Sargoni (University College London), Ed Manley (University of Leeds) | |
| 08:55-09:15 PST | STAND: A Spatio-Temporal Algorithm for Network Diffusion Simulation |
| Fangcao Xu (Pennsylvania State University) Bruce Desmarais (Pennsylvania State University), Donna Peuquet (Pennsylvania State University) | |
| 09:15-09:35 PST | A review of methods to model route choice behavior of bicyclists: inverse reinforcement learning in spatial context and recursive logit |
| Thomas Koch (Centrum Wiskunde en Informatica), Elenna Dugundji (Vrije Universiteit Amsterdam) | |
| 09:35-09:55 PST | Generating Contextual Trajectories From User Profiles |
| Jian Yang (University of Notre Dame), Christian Poellabauer (University of Notre Dame), Pramita Mitra (Ford Motor Company), Abhishek Sharma (Ford Motor Company), Cynthia Neubecker (Ford Motor Company), Arpita Chand (Ford Motor Company | |
| 09:55-10:20 PST | Break |
| 10:20-12:00 PST | Session 2 |
| 10:20-11:00 PST | Keynote: Mobility and Behavior Modeling for COVID-19 |
| Samarth Swarup, University of Virginia, USA | |
| 11:00-11:15 PST | An Exploration of the Effect of Buyer Preference and Market Composition on the Rent Gradient using the ALMA Framework |
| Alexander Michels (University of Illinois at Urbana-Champaign), Jeon-Young Kang (Kongju National University), Shaowen Wang (University of Illinois at Urbana-Champaign) | |
| 11:15-11:30 PST | Integrating Social Networks into Large-scale Urban Simulations for Disaster Responses |
| Na Jiang (George Mason University), Annetta Burger (George Mason University), Andrew Crooks (The University at Buffalo), William Kennedy (George Mason University) | |
| 11:30-11:45 PST | Agent-Based Wildfire Evacuation with Spatial Simulation: A Case Study |
| Sarah A. Grajdura (University of California, Davis), Sachraa G. Borjigin (University of Maryland, College Park), Deb A. Niemeier (University of Maryland, College Park) | |
| 11:45-12:00 PST | Towards the Automatic Selection of Moving Regions Representation Methods |
| Rogerio Luis De Carvalho Costa (University of Aveiro), Enrico Miranda (University of Aveiro), Jose Moreira (University of Aveiro) | |
| 12:00-12:10 PST | Closing Remarks |
Keynote
Mobility and Behavior Modeling for COVID-19
Samarth Swarup, University of Virginia, USA
Abstract
COVID-19 has continued to spread rapidly in populations around the world for the past several months. In the absence of viable pharmaceutical interventions, the only effective strategy for stemming the epidemic has been behavioral modification, such as mask wearing, physical distancing, and social distancing. Enforcement of, and compliance with, these interventions has been uneven, making it difficult to understand their efficacy or to forecast the future spread of the disease. In this talk I will discuss how high resolution mobility data can be used for COVID-19 forecasting, as well as how we are building models of normative reasoning behavior for large-scale simulations. There are numerous technical challenges in this work, including scale, realism, and complexity. I will present ongoing work and discuss paths forward for this urgent domain of research.
Bio
Samarth Swarup is a Research Associate Professor in the Biocomplexity Institute at the University of Virginia. His research focuses on the development and analysis of agent-based social simulations, including the use of AI and machine learning-based methods for simulation analytics. His work has been honored with multiple best paper awards. He earned his PhD in Computer Science from the University of Illinois at Urbana-Champaign.
