CrisisReady provides scalable expertise in Data Readiness, Methods Readiness, and Translational Readiness, for equitable and transparent crisis planning and response.

CrisisReady is based at Harvard University and Direct Relief, and collaborates with academic partners, technology companies and response agencies around the world to embed data-driven decision-making into local disaster planning.


Using Human Mobility Data to Inform Pandemic Response Theory and Practice

This 90-minute panel will examine the application of mobility data in monitoring the spread of the pandemic and informing containment …

CrisisReady Inaugural Panel - Data, Equity, and Wildfires: California 2020

CrisisReady is pleased to announce its inaugural panel on Data, Equity, and Wildfires in California. The power shutoffs and evacuations …


OpenDP: open-source software tools for privacy-protective statistical analysis of sensitive personal data.

The COVID-19 pandemic has underscored the importance of developing analytical pipelines that leverage data streams generated by individuals and communities to drive data-driven responses to crises. As these data increasingly exchange hands within agencies and are shared publicly for broader research, Salil Vadhan from Harvard SEAS and Navin Vembar from Camber Systems discuss the inadequacy of traditional methods for the protection of sensitive personal data.

The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology


Through an international collaboration of researchers, technology companies, nonprofits and policy makers our team develops scalable expertise in Data Readiness, Methods Readiness, and Translational Readiness, by securing data pipelines that provide actionable analyses to meet pre-articulated needs defined by policy makers and response agencies.

Data Readiness

The data required to respond to disasters are pre-identified, and access are pre-negotiated across stakeholders, even if the data streams are only activated during crises.

Methods Readiness

The data vary in nature of origin, representativeness, temporal and spatial scales, and there is an urgent need to develop standard frameworks for the analysis and interpretation of these disparate data during disasters and humanitarian emergencies.

Translational Readiness

Even when high quality data analysis are ready for near-real-time disaster response, public health departments often do not have embedded local capacity to drive data driven respons, and our network of researchers and public health professionals works to support the actionability of these data.