Over the past two years, dozens of organizations used Facebook's Data for Good products to improve wellbeing and save lives. Their most profound applications include disaster preparedness projects, vaccination campaigns, and effective deployment of services during times of natural disaster.
Future of Business Survey
COVID-19 Pandemic Through a Gender Lens
It is critical for policymakers to understand that the impacts of COVID-19 will not be the same for everyone. Experience from previous epidemics suggest that COVID-19 will impact groups who are most vulnerable and amplify any existing inequalities across countries, communities, households and individuals. This note focuses on the existing gender inequalities in the economic sphere in Sub-Saharan Africa and summarizes how the COVID-19 (coronavirus) pandemic could affect women and girls disproportionately.
Private Sources of Mobility Data Under COVID-19
We explore the behavior and inter-relations of private sources of mobility data in the context of Spain. This country represents a good experimental setting because of its large and fast pandemic peak, and for its implementation of a sustained, generalized lockdown. We find private mobility sources to be both correlated and complementary. Using them, we evaluate the efficiency of implemented policies, and provide a insights into what new normal means in Spain.
Social Connectedness Index
The Cost of Uncoordinated Responses to COVID-19
The Social Analytics Lab at MIT just released a comprehensive study of the cost of uncoordinated responses to COVID-19. They combined daily, county-level data on shelter-in-place and business closure policies with movement data from more than 27 million mobile devices, social network connections among over 220 million Facebook users, daily temperature and precipitation data from 62,000 weather stations, and county-level census data on population demographics.
Population Density Maps
Rapid Mapping of Areas Marked for Demolitions
Pamoja Trust partnered with Cadasta Foundation providing a list of six locations which are planned to be demolished. Cadasta used geospatial technology to perform analysis, mapping-out the six locations and estimating the residential areas which could be affected. Through this spatial analysis, Cadasta created maps of each of the six locations and identified at-risk residential areas falling within 100, 200 and 500 meters from the planned demolition locations - classified as Extreme Risk (100 m), High Risk (200 m), and Medium Risk (500 m).
Climate Conversation Maps
Introducing our 2019 Sustainability Report
Two years ago, we announced our commitment to reduce our greenhouse gas emissions by 75 percent and support our global operations with 100 percent renewable energy by the end of 2020. We’re excited to share in this report highlights of the significant progress we’ve made. While we already share much of our environmental data publicly, our goal with this report is to make our progress even more accessible and provide clear information on the work we’re doing to reach our sustainability goals. The report offers a closer look at the sustainability progress we made in 2019, as well as our ongoing commitment to address climate change.
Population Density Maps
Measuring the accuracy of gridded human population density surfaces: a case study in Bioko Island, Equatorial Guinea
We use census data from Bioko Island, in Equatorial Guinea, to evaluate LandScan (LS), WorldPop (WP), and the High-Resolution Settlement Layer (HRSL). Each layer is compared to the gold-standard using statistical measures to evaluate distribution, error, and bias. We investigated how map choice affects burden estimates from a malaria prevalence model. Specific population layers were able to match the gold-standard distribution at different population densities.