Title:	Leveraging Network Analysis and Large Language Models To Analyze Organizational Responses to Large-Scale Disasters
DNr:	NAISS 2025/22-1392
Project Type:	NAISS Small Compute
Principal Investigator:	Sabrina Mai <sabrina.mai@liu.se>
Affiliation:	Linköpings universitet
Duration:	2025-10-10 – 2026-10-01
Classification:	50401
Keywords:

Abstract

Crises – particularly those rising to the level of disasters – demand an organized response. Organizations responding to disasters rarely work alone but are often embedded in large, complex systems of organizational disaster response. Core tasks such as communication, collaboration, and coordination of activities and resources then become difficult challenges. This project will study how large sets of organizations responding to hazards give rise to emergent multiorganizational networks of disaster response and how organizational behaviors within the network context impact effective responses to disaster. This study will leverage heterogeneous corpora of archival texts authored during disasters to extract high-quality information on the activities of organizations involved in the disaster response, along with their interactions with other organizations (e.g. collaborations and communications). Social network analysis will then be performed on extracted network data to evaluate the emergent social structures.