معرفی
Sarah Wise is an Associate Professor at the Centre for Advanced Spatial Analysis (CASA) at University College London (UCL). She holds a PhD in Computational Social Science from George Mason University (2014) and a BA in Computer Science and East Asian Cultures/Languages from the University of Chicago (2009). Her research focuses on modeling complex systems involving people, infrastructure, and information, employing methods such as agent-based modeling (ABM), social network analysis (SNA), and geographic information systems (GIS). She has contributed to projects on urban logistics, disaster evacuation planning, and sustainable transportation.
Educations:
- Doctor of Philosophy, Computational Social Science, George Mason University, 2014
- Bachelor of Arts, Computer Science & East Asian Cultures/Languages, University of Chicago, 2009
Research Interests:
Dr. Wise explores urban systems through interdisciplinary lenses, including agent-based modeling for epidemic forecasting, transportation logistics for sustainable last-mile delivery solutions, and GIS-integrated decision support tools for emergency management. Her work bridges computational methods with real-world challenges in urban planning and environmental sustainability.
Article Trends:
Her recent publications emphasize optimizing urban delivery systems (e.g., reducing CO2 emissions via porters/cycle couriers), modeling epidemic spread dynamics, and developing agent-based tools for evacuation planning. These studies highlight her focus on scalable, data-driven solutions for complex urban and environmental problems.
Awards:
- Recipient of the George Mason University three-year Presidential Scholarship (2009–2012)
Advising & Grants:
No specific advising or grant details are listed in the provided text. Her professional experience includes roles at Argonne National Laboratory, the U.S. Department of State, and government contractors, reflecting her applied research background.
Labs/Teams:
Her affiliation with CASA, a leading center for spatial analysis, likely involves collaborative projects on urban systems and computational modeling. No specific lab/team names are mentioned in the text.
