Risk Science & Decision Intelligence

Domino Risk
Lab

We combine risk science, data infrastructure, and computational modeling to understand how disruptions propagate through cities, industries, infrastructure, and economies, and to translate research into reusable datasets, models, and decision tools.

Research Themes

Research Themes

The first version organizes the lab around long-running research themes. Each theme can later connect publications, projects, datasets, tools, and people.

Risk propagation

Systemic Risk & Cascading Failures

We study how local disruptions spread through economies, infrastructure, supply chains, and social systems, and identify the nodes that amplify systemic risk.

systemic riskcascading failurenetwork science

Impact and recovery

Disaster Impact & Recovery Modeling

We assess the direct and indirect effects of disasters and compound shocks on industries, cities, and regional economies, and simulate recovery pathways.

ARIOdisaster impactrecovery modeling

Urban resilience

Climate Risk & Urban Resilience

We study exposure, vulnerability, adaptation capacity, and long-term resilience investments under flood, heat, storm surge, and other climate risks.

climate riskurban resilienceadaptation

Critical systems

Infrastructure & Supply-Chain Risk

We map dependencies among transport, energy, water, communications, and supply-chain systems to analyze disruptions, bottlenecks, and substitution pathways.

infrastructuresupply chainresilience

AI risk intelligence

AI for Risk Assessment

We explore machine learning, knowledge graphs, and language models for risk identification, evidence extraction, scenario generation, and decision support.

AIknowledge graphdecision intelligence

Data infrastructure

Data Infrastructure for Risk Science

We build maintainable, citable, and traceable data products to support risk research, model development, and policy assessment.

data infrastructuremetadataopen science

Selected Outputs

Selected Outputs

Placeholder records define how publications, reports, datasets, and tools should be presented and cross-linked.

2026

A framework for cascading economic risk assessment under compound disruptions

Working paper record, details to be updated

2026

Operationalizing ARIO models for regional disaster recovery analysis

Technical report placeholder

2025

Data infrastructure for reusable risk science: metadata, provenance, and governance

White paper placeholder

Latest

Latest News

The collaboration network will include universities, research institutes, government and policy partners, industry partners, and data partners.

University Partner A (to be updated)Research Institute B (to be updated)Government & Policy Partner C (to be updated)Industry Partner D (to be updated)Data Partner E (to be updated)Funding Organization F (to be updated)