Facebook : Tackling COVID-19 Second Wave using Facebook Mobility Data in Vietnam

Challenge: On July 24, after 99 days of zero community-transmitted COVID-19 infections, a 57 year-old man tested positive in Danang, a major city in central Vietnam with close to 1.

Cuebiq: Assessing Social Inequality and Lockdown Policies using Mobile Location Data in Indonesia

Challenge: Lockdown policies such as stay-at-home orders and non-essential business closures are central to fighting the novel coronavirus.

ClimaCell: Leveraging New Data Methods to Address an Ancient Challenge: Locusts

Challenge: The worst locust upsurge in at least 25 years is hitting parts of Africa, the Arabian Peninsula and Western Asia, and over 40 million people who are already food insecure find their food supply and livelihoods threatened.

How to Find Population Movement Data for Your Country: The Mobile Location Data Inventory

As the COVID-19 pandemic continues, so have measures to mitigate its spread.

Google, Apple, and Facebook: Understanding Mobility during Social Distancing with Private Sector Data

As countries around the world work to contain the spread and impact of COVID-19, the World Bank Group is moving quickly to provide fast, flexible responses to help developing countries strengthen their pandemic response and health care systems.

Facebook and Mapbox: Addressing COVID-19 through Public-Private Data Partnerships -- Where Do We Put New Testing Facilities?

Background As the COVID-19 pandemic evolves, the World Bank is ramping up its response to help countries around the world.

Facebook: A New Predictive Model for More Accurate Electrical Grid Mapping

Challenge: When planning connectivity deployments in emerging markets, it is important to have a clear picture of where existing power lines are placed.

Mapbox: Estimating Access to Employment Opportunities in Dhaka, Bangladesh

Challenge: Poor transport facilities and infrastructure are a major hindrance to Bangladesh’s economic development.

Facebook: Tackling the Global Profitarchy–Gender and the Choice of Business Sector

Challenge: Despite significant progress in women’s educational attainment and higher female labor force participation rates in many countries, progress in closing the gender pay gap, which takes the ratio of median earnings of all women to all men, has been slow.

Why Data Partnership?

Should the private sector ever share data with the public sector, even if for public good?

Waze: Improving Road Safety in Nairobi

Challenge: Kenya has one of the highest estimated crash fatality rates worldwide but is challenged to address the problem without adequate data.

On Responsible Data Use

As we develop the Data Partnership, we have a responsibility to the people impacted by our initiative – to local governments and partners, and to our own organizations – to think about how we are collecting, using, storing, and sharing information.

Where Is My Transport: Mapping Freetown Transit for Resiliency

Challenge: The resiliency of a transport network is a critical component to the stability and prosperity of a city.

Data Partner Lightning Talks

On February 13, 2019, the Data Partnership (formerly Data Collaboratives), for the first time, brought together Partners and staff.