Data

These datasets provide measures of Social Capital for counties, ZIP codes, high schools, and colleges in the United States based on data from Facebook. The Social Capital Atlas dataset is the result of a collaboration between…

Commuting zones are geographic areas where people live and work and are useful for understanding local economies, as well as how they differ from traditional boundaries. Learn more here: https://dataforgood.facebook.com/dfg/tools/commuting-zones

We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different…

This dataset and visualisation show the results of a trial conducted by the Centre for Humanitarian Data and the Artificial Intelligence for Disaster Response (AIDR) project from May 2019 to February 2021, using machine learning to…

This dataset represents the geographical distribution of Twitter users and tweets related to Coronavirus (COVID-19) pandemic at three levels. The data was collected and processed by the AIDR system (http://aidr.qcri.org). See the individual resources/files for…

This is a Twitter dataset collected during the typhoon Mangkhut 2018 in the Philippines. The data was collected, processed, and analyzed by the AIDR (http://aidr.qcri.org) platform using state of the art machine learning techniques. The data…