ABOUT
The AIDD (Actionable Information for Disasters and Development) Labs’ mission is to leverage data and information to prioritize populations in need before, during, and after disasters. Led by Dr. Sabine Loos and housed at the University of Michigan, AIDD Labs aims to continuously improve upon current disaster information systems by integrating voices of communities and organizations who have historically been excluded from design, by developing approaches that can be used in data-scarce regions, and by understanding past applications to better design future information systems.
The main outputs of our work are data, models, and tools that can be used to identify (1) who is affected by disaster, (2) how they can be supported, and, importantly, (3) integrate the context of the place and institutions that support these populations.
If you are interested in joining, please visit the 'Opportunities' section of the Team page.
Partners & Funders
Featured Work
Focus groups with 49 disaster management practitioners worldwide identify the disaggregated and actionable risk metrics needed to support equity-focused decisions, beyond fatalities and economic losses.
Beyond Deaths and Dollars: Modeling Requirements to Support Equity-Focused Disaster Risk Management
Sabine Loos
Assistant Professor
A global analysis of the characteristics that drive interaction with the U.S. Geological Survey's "Did You Feel It?" product
The Intensity Gap: A Global Analysis of Who Responds to the Crowdsourced Did You Feel It? System
Eli Knodel
PhD Researcher
Taking a historical lens on climate and disaster risk modeling, this paper shows how 'insurance logics' persist as AI tools move into public-sector risk governance, highlighting continuity rather than disruption.
Hype versus Historical Continuity: Situating the Rise of AI in Climate and Disaster Risk Modeling
Shreyasha Paudel
Affiliate
