Complex Systems and Data Science for Humanitarian Response
Langle-Chimal, Ollin D
Langle-Chimal, Ollin D
Citations
Altmetric:
License
License
Abstract
The use of new technologies and unconventional data has been increasingly used in policy making and humanitarian responses in events of distress. In this work we present multiple methodologies to work with unstructured data given in the form of mobility and expenditure patterns as well as text based surveys in order to build a better relief allocation program where, when and by whom is most needed in a wide diverse set of contexts such as earthquakes, violence, educational gaps and epidemics. We also explore a mathematical model of human behavior to explain how collective patterns arise from individual ones in these types of events and how can it be used to forecast and build preventive policies instead of reactive ones.
Description
Date
2021-01-01
Student Status
Graduate
Journal Title
Journal ISSN
Volume Title
Type of presentation
Oral Paper Presentation
Collections
Research Projects
Organizational Units
Journal Issue
Citation
DOI
Advisor(s)
Department
Program/Major
Complex Systems
College/School
College of Engineering and Mathematical Sciences
Organization
item.page.researchcategory
Engineering & Physical Sciences