Tag:   Sustainable Development Goals > No poverty - (8)

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Global Multidimensional Poverty Index

The 2019 Global Multidimensional Poverty Index (MPI) data and publication "Illuminating Inequalities" released on 11 July 2019 shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.

Indus Action

Indus Action helps vulnerable Indians access government entitlements to education, maternity and livelihood support.

Decriminalize Poverty

This narrative experience explores how poverty has been criminalized across Tennessee, what this means for people who live in communities in the state, and practical steps to build a better future.

Precarious Lives

Precarious Lives

Raymond Ghosn Building, American University of Beirut, Maroun Semaan Faculty of Engineering and Architecture PO Box. 11-0236 Riad El Solh 1107 2020, Beirut Lebanon

The Beirut Urban Lab is launching a platform that documents the processes and mechanisms that generate housing precarity in today’s Beirut.

Digital Green

Digital Green

San Francisco

Digital Green is a global development organization that empowers smallholder farmers to lift themselves out of poverty by harnessing the collective power of technology and grassroots-level partnerships.

Global Innovation Fund

The Global Innovation Fund is a non-profit innovation fund headquartered in London with an office in Washington D.C. that invests in the development, rigorous testing, and scaling of innovations targeted at improving the lives of the world's poorest people. We believe that the best ideas for solving some of the world's most critical problems can come from anyone, anywhere. Through our grants and risk capital, we help breakthrough solutions to global development challenges from for-profit firms, non-profit organisations, researchers, and government agencies to maximise their impact and affect meaningful change.

Stanford Predicting Poverty

Stanford Predicting Poverty

Stanford University, Serra Mall, Stanford, CA, USA

COMBINING SATELLITE IMAGERY AND MACHINE LEARNING TO PREDICT POVERTY

NYC Poverty Data Research Fellow

Fellows will work closely with PRU staff to support multiple research projects including statistical data analysis and monitoring the poverty reduction effects of the city’s anti-poverty initiatives.

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