Ookla: The Effect of COVID-19 Lockdown Measures on Internet Speed

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.

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

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.

Premise: 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.

Ookla: 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.

Climacell: 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.

Google: 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.

Mapbox: 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.

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. 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.

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.

Mapbox: 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.

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.

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. 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.

WhereIsMyTransport: 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.