Cuebiq makes its anonymized mobility data and data expertise available to trusted researchers of COVID-19 to study aggregate human mobility patterns as COVID-19 spreads, the secondary impacts of the disease and health interventions, and to model the possible spread of the disease based on historic mobility patterns. This offering has led to several projects. In [Italy](https://covid19mm.github.io/in-progress/2020/03/13/first-report-assessment.html), the [United Kingdom](https://covid19-uk-mobility.github.io/index.html), and [New York City](http://curveflattening.media.mit.edu/), the effort informed research into the results of non-pharmaceutical interventions, such as mobility restrictions. For the [New York Times](https://www.nytimes.com/interactive/2020/04/02/us/coronavirus-social-distancing.html) and [FiveThirtyEight](https://fivethirtyeight.com/features/americans-didnt-wait-for-their-governors-to-tell-them-to-stay-home-because-of-covid-19/), this data has enabled stories on the spread of the COVID-19 pandemic and subsequent responses to it.