Digitalization and Resilience to COVID-19 Shocks: Evidence from Sub-Saharan Africa

Ookla Digital Development

Challenge The COVID-19 pandemic has brought major disruption to economic activities and human welfare across the world. Despite the pandemic’s late arrival, Sub-Saharan African countries were faced with unprecedented challenges to contain the spread of the pandemic and mitigate the damage to the economy.

Unlocking Mobility: TapTap Maps in Cap-Haïtien

WhereIsMyTransport Transportation

Challenge Haitian cities suffer from poor transportation services, and the lack of data from existing services limits improvement efforts. Tap Taps are the most popular motorized transportation mode employed across Haiti, yet there is not enough data on them as they are informal, private, and marginally regulated.

Improving public space and market design during COVID-19

Veraset COVID19

Lima’s Central Market has always been one of the busiest and liveliest in Lima, Peru. Before the pandemic, some hundreds of people gathered there to buy and sell groceries, clothes, electronics–you name it.

The IMF's New Climate Change Indicators Dashboard: Experimental Data for Economic and Financial Analysis

ESRI Climate Change

To develop the right measures to tackle climate change, governments need robust and comparable data. The new IMF Dashboard will help fill data gaps, so policymakers can undertake the macroeconomic and financial analysis that underpins effective policies

Mapping entrepreneurs' response to COVID-19 in Latin America and the Caribbean

ESRI

Challenge: The social and economic disruption caused by Covid-19 led to numerous challenges to conduct businesses, provide essential services, and attend to the most basic well-being needs around the globe.

The Effect of COVID-19 Lockdown Measures on Internet Speed

Ookla COVID19

COVID-19 and the related lockdown measures to prevent the virus’ spread have highlighted how important it is for everyone to have access to reliable and resilient digital infrastructure.

Optimizing Tourism Investments: Identifying Chokepoints and Underperforming Minor Roads in Sri Lanka

Mapbox

Challenge: Connected and maintained transportation infrastructure are critical to sustainable economic development, but most current estimation methods of road quality are labor, time, and cost intensive.

Socioeconomic Impact of COVID-19 in Indonesia

Premise Poverty

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

Tutorial

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

Ookla

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

Tomorrow Climate Change Food

Ag Observatory in collaboration with the World Bank Data Lab guided and facilitated Climacell’s entry into the CGIAR Big Data Inspire Challenge 2020.

Economic Anxiety and COVID-19 in Southeast Asia

Google

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.

Mapbox Releases a New Movement Dataset for Mobility Insights

Announcement Mapbox

Following the Development Data Partnership launch event at the World Bank-IMF Annual Meetings, Mapbox announced a new dataset on movement data for mobility insights.

Data Partnership: Bridging the Data Gap for Public Good

Announcement

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.

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

Cuebiq

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

Announcement

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

Tomorrow

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.

Estimating Access to Employment Opportunities in Dhaka, Bangladesh

Mapbox

Challenge: Poor transport facilities and infrastructure are a major hindrance to Bangladesh’s economic development. The road network in Dhaka is severely congested.

Improving Road Safety in Nairobi

Waze

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.

Mapping Freetown Transit for Resiliency

WhereIsMyTransport

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.

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.

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.