CrisisReady


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.

READINESS


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.

TALKS & EVENTS


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 …

LATEST NEWS


Mobility Data and the Limits of Data Protection Frameworks

The near real-time information about human movement provided by aggregated population mobility data has tremendous potential to help refine interventions when appropriate legal, organizational, and computational safeguards are in place. As the private sector, policymakers, and academia work together to leverage novel sources of data to track the spread of the pandemic, Randall Harp, Laurent Hébert-Dufresne, and Juniper Lovato from the University of Vermont argue that anonymization at the individual level is insufficient– the notion of privacy should extend to communities as well.


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