Socioeconomic Impact of COVID-19 in Indonesia
Challenge: Although there is a widespread awareness of the pandemic, there is a lack of understanding from citizens’ perspective, especially behaviors it triggers, sentiments towards government as well as rising concerns.
A Light Primer to Spark / Databricks
Databricks is a powerful platform for using Spark, a powerful data technology. If you’re reading this, you’re likely a Python or R developer who begins their Spark journey to process large datasets.
Estimating High-speed Broadband Coverage in Ukraine
Challenge: Ukraine, Europe’s biggest country, has over 1,192 operators and providers, of which close to three quarters operate under a special preferential tax regime, allowing them not to report their coverage/subscription data to the national telecom regulatory authority.
2020 Inspire Challenge Finalist - The ClimaCell Locust Project
Ag Observatory in collaboration with the World Bank Data Lab guided and facilitated Climacell’s entry into the CGIAR Big Data Inspire Challenge 2020. The ClimaCell Locust Project has been nominated as a finalist in the 2020 Inspire Challenge.
Economic Anxiety and COVID-19 in Southeast Asia
Challenge: The COVID-19 pandemic has affected the global economy through lockdowns, disrupted supply chains and uncertain economic outlooks. Swift reaction by policy makers are required to prevent a deep recession.
Analyzing Spatial Accessibility of Health Facilities in Indonesia and Philippines
Challenge: Indonesia and the Philippines are archipelagos, where geographic and administrative boundaries are similar. The collection of islands is home to different concentrations of ethnic, cultural, linguistic, and socioeconomic groups, with an imbalanced distribution of health facilities and physicians.
Mapbox Releases a New Movement Dataset for Mobility Insights
Following the Development Data Partnership launch event at the World Bank-IMF Annual Meetings, Mapbox announces a new dataset on movement data for mobility insights. The World Bank teams have been using Mapbox data across different sectors through the Development Data Partnership.
Data Partnership: Bridging the Data Gap for Public Good
Download Event Program High frequency, timely, and granular information – which is routinely collected by the private sector–can help inform public policy and service delivery.
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.
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. However, policy makers are having a hard time answering key questions about their efficacy.
Introducing the Data Partnership on GitHub
After launching in 2019, when the Inter-American Development Bank and the International Monetary Fund joined the initiave, the Development Data Partnership has scaled up fast, with more than 100 projects having been brought to life supported by partnerships with more than 20 companies.
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. Physical distancing and movement restrictions – such as school and workplace closures, public event cancellations, stay-at-home orders, and international and domestic travel bans – vary considerably across countries.
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.
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. The Bank recently announced $14 billion emergency support program, for which a key pillar is to help countries strengthen their capacity to monitor and respond to the spread of the virus.
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. This information helps us make better decisions about where to focus our efforts, how we design the network, and how we source the equipment we’ll need.
Estimating Access to Employment Opportunities in Dhaka, Bangladesh
Challenge: Poor transport facilities and infrastructure are a major hindrance to Bangladesh’s economic development. The road network in Dhaka is severely congested. The driving duration to get from one place to another in a road network has traditionally been extrapolated by assigning a driving speed to each road class.
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? Well, it depends. Most of us are in agreement that when companies collect our data as a natural by-product of providing a service – like our movement data or spending patterns – the company shouldn’t sell these data to a third party for profit, especially without transparency.
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. Solution: Real-time access to Waze data helped identify patterns of traffic incidents and congestion.
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.
Mapping Freetown Transit for Resiliency
Challenge: The resiliency of a transport network is a critical component to the stability and prosperity of a city. Freetown, prone to flooding and landslides, struggles to maintain services throughout the year.
Data Partner Lightning Talks
On February 13, 2019, the Data Partnership (formerly Data Collaboratives), for the first time, brought together Partners and staff. More than 200 colleagues joined the standing-room-only event, in person and online, learning about how private data partnerships can be made to work for public good.