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Big data sources are of paramount importance today more than ever before. During the COVID-19 pandemic, big data can provide critical insights into the dynamic state, spread, and impact of the coronavirus. Recognizing this, Spectus is proud to be leading the COVID-19 Data Collaborative.

Spectus’ Social Impact Program

Spectus has always been dedicated to providing social value through location data. Through our Social Impact program, we provide access to de-identified, privacy-compliant location data for academic research and humanitarian initiatives related to human mobility.

Having had this initiative in place since 2017, we were in a prime position to launch the Data Collaborative, as we’d already established existing relationships with many organizations who use our data. These collaborations yielded projects ranging from natural disaster relief, to analyzing social inequality, to assisting with epidemiological efforts like measuring the impact of travel restrictions during the Zika epidemic in 2016. As such, at the outset of the coronavirus pandemic, Spectus was positioned to contribute data to new and existing to aid in the COVID-19 crisis.

COVID-19 Data Collaborative

The COVID-19 Data Collaborative consists of 15 groups including researchers, practitioners, and data scientists across academia, international and humanitarian organizations, and the private sector. Participants’ domain expertise includes epidemiology, applied mathematics, data governance and responsibility, computational social science, and big data modeling.

Among other research areas, participants of the Data Collaborative are currently using Spectus data to analyze the effects of COVID-19 and public response efforts on human mobility and its impacts on society, while also modeling the spread of COVID-19.

Initial Outputs From the Collaborative

While the COVID-19 Data Collaborative is still in its early days, it has already produced some revelatory outputs. Spectus has provided data and insights to a number of organizations mapping mobility patterns during the pandemic, including:

Oxford COVID-19 Impact Monitor

Spectus partnered with the University of Oxford to help illustrate how life in the United Kingdom has changed since the coronavirus outbreak began. Using Spectus location data, a team of AI and big data researchers at Oxford created an online dashboard to understand and predict the impact of the UK’s COVID-19 social distancing measures on population movements nationwide.

oxford research map gif
MIT research photo social distancing new york city

MIT Media Lab Curve Flattening Project

Researchers at MIT have been applying Spectus location data to analyze the effectiveness of the social distancing policies adopted in the New York metropolitan area in response to the coronavirus pandemic. The initial findings reveal that the area’s social distancing policies have led to major changes in where people spend their time and how they interact with each other. For more detail, check out the coverage of this project in the Wall Street Journal.

Northeastern MOBS Lab COVID-19 Mobility Project

Researchers at Northeastern MOBS Lab are using Spectus data to analyze changes in mobility, commuting patterns, and contacts in cities around the United States, while also developing predictive computational tools for the analysis of the spatial spread of COVID-19.

gif of map of US northeastern research

If you are interested in using Spectus’ location data for academic research or humanitarian purposes, please reach out to our Social Impact team.

This article was originally authored while the Spectus Data Clean Room product was known as Cuebiq Workbench.