Smarter Crowdsourcing for Zika

Can targeted crowdsourcing help countries prepare for and respond to public health crises such as mosquito borne diseases?

In collaboration with IDB and government partners, GovLab will articulate cross-cutting problems that will benefit from diverse input, and convene experts, practitioners, researchers and government partners from across interdisciplinary domains such as public health, water, sanitation and technology. Over four months, we will design and host a series of online conferences with the participation of global experts. The conferences will be focused on identifying innovative approaches to tackle the identified problems.

Data Driven Criminal Justice

How can data be used to increase public safety and reduce incarceration?

To accelerate trusted access to data for improved management of our criminal justice system, the Governance Lab with the support of the Laura and John Arnold Foundation, is working to articulate principles, policies, practices, and tools for trusted data sharing that safeguard civil liberties while maximizing the opportunity for evidence-based policy making and reform. The goal of the project is to enable greater collaboration between government and the research community to the end of improving effectiveness and legitimacy of our ...

Open Data for Developing Economies

What is the social and economic value of open data for developing economies?

This project seeks to build an evidence base identifying: a) the conditions under which open data is most (and least) effective in the development process; b) strategies to maximize the positive contributions of open data to development; and c) means for limiting open data’s harms on developing countries.

Network of Innovators

Can we accelerate innovation in government by making expertise of individuals searchable?

Network of Innovators (NoI) is a skill sharing network enabling government and civic innovators to assess their problem-solving skills and get matched to those with complementary knowledge for mutual learning.