A data-driven framework to support the design, implementation, and evaluation of a superblock model in Bogotá from a speed management perspective and inform street design alternatives in the urban space.
Understanding Societal Responses to Policies Undertaken During Emergencies: Lessons from COVID-19’s Second Wave in MaharashtraCase Study Outlogic SpaceKnow Health Disaster Risk Management Urban Development COVID-19
Maharashtra, one of the wealthiest states in India, was among the worst hit by COVID-19, registering nearly 140,000 COVID-19 deaths since the start of the pandemic.
Waze for Cities, a Data Partner of the Development Data Partnership, connects government partners to high quality, frequent and granular traffic data extremely valuable in informing public sector, transport and urban planning as well as addressing the United Nations’s Sustainable Development Goals.
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.
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.
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.
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 LankaMapbox Transport
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.
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.
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.
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.
Ag Observatory in collaboration with the World Bank Data Lab guided and facilitated Climacell’s entry into the CGIAR Big Data Inspire Challenge 2020.
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.
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.
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.
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.
Challenge: Poor transport facilities and infrastructure are a major hindrance to Bangladesh’s economic development. The road network in Dhaka is severely congested.
Challenge: Kenya has one of the highest estimated crash fatality rates worldwide but is challenged to address the problem without adequate data.
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.
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.
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.
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.