A list of organizations that leverage data for social and environmental good.
Data4Good Organizations are classified by their legal Framework, their operational Emphasis, the SDG they contribute to and their office locations 🌍
Our mission is to make data science an integral part of public and social sector decision-making: Data at the service of the public good. We create data products for more effective decision-making at the intersection of social science, data science, and software development.
CorrelAid is a non-profit organization dedicated to harnessing the power of data for social good. They bridge the gap between data scientists and organizations with a positive impact by offering their services to NGOs, non-profits, and charitable organizations. CorrelAid provides consulting services and educational resources to empower these non-profit entities to make data-driven decisions. Their mission is to leverage data for the betterment of society and empower civil society to utilize data in decision-making processes.
The GRC saves people, helps in emergencies, offers people a community, stands by the poor and needy and oversees international humanitarian law. Their Data Science Hub tests the use of data science methods for social services.
Unkonventionell, innovativ und experimentell - das GIZ Data Lab versteht sich als eine Plattform, die Denker und Praktiker zusammenbringt um die effektive, faire und verantwortungsvolle Nutzung digitaler Daten in der nachhaltigen Entwicklungszusammenarbeit zu fördern. Seit seiner Gründung im Januar 2019 arbeitet das Team agil und chancenorientiert, erforscht neue Trends und entwickelt zukunftsorientierte Lösungen in den Partnerländern der GIZ. Das GIZ Data Lab-Team führt eine Vielzahl an Experimenten im Data4Development-Bereich durch, die in ihrem zeitlichen und thematischen Umfang begrenzt sind und auf konkreten Arbeitshypothesen basieren.
Urgewald is a German environmental and human rights NGO that follows the money trail behind environmental destruction and human rights abuses. They are best known for maintaining the Global Coal Exit List (GCEL) and the Global Oil & Gas Exit List (GOGEL), comprehensive databases that track companies operating along the thermal coal and upstream/midstream oil and gas value chains. These datasets are used by financial institutions worldwide to inform divestment and climate finance decisions.
Welthungerhilfe is a large independent aid organization, whose vision is a world where everyone can live a self-determined life with dignity and justice, free from hunger and poverty. Their data culture includes tools and systems for data collection and analysis, developing data visualization prototypes, applying ML techniques, and implementing an automated business intelligence infrastructure.
The ODI is a non-profit company committed to advancing trust in data across the spectrum - from closed to shared to open data. We work to advance trust in data by providing training, consultancy services, tools and guides - all designed to enable organisations to become more confident and capable in their stewardship and use of data.
Our World in Data (OWID) is a scientific online publication that focuses on large global problems such as poverty, disease, hunger, climate change, war, existential risks, and inequality. Thanks to the work of thousands of researchers around the world who dedicate their lives to it, we often have a good understanding of how it is possible to make progress against the large problems we are facing. The world has the resources to do much better and reduce the suffering in the world. We believe that a key reason why we fail to achieve the progress we are capable of is that we do not make enough use of this existing research and data: the important knowledge is often stored in inaccessible databases, locked away behind paywalls and buried under jargon in academic papers.
The Amnesty Tech movement believes it's time technology puts people and human rights first. It's a movement of 10 million people, and we've plugged hackers, coders, data scientists and technologists into our team too.
Since 2013, Data-Pop Alliance has worked to apply cutting edge data science to solve the world’s most pressing problems. As the 2030 deadline for the UN sustainable development goals approaches, we believe novel approaches are needed to enhance the efficacy of the global development sector and reach those most in need.
iMMAP Inc. turns data into information and creates knowledge for decision makers operating in development contexts, situations of violence, post-disaster, and conflict recovery. Our mission is to harness the power of information to facilitate evidence-based decisions to improve people's lives.
Prosperia Social is a social enterprise revolutionizing the design, targeting and management of social policies, by leveraging data science, AI and interactive decision support towards positive social impact at a large scale. We empower governments, international organizations, and NGOs to implement more accurate, equitable, efficient and transparent policies.
The Armed Conflict Location & Event Data Project (ACLED) is a disaggregated data collection, analysis, and crisis mapping project. ACLED collects information on the dates, actors, locations, fatalities, and types of all reported political violence and protest events around the world. The ACLED team conducts analysis to describe, explore, and test conflict scenarios, and makes both data and analysis open for free use by the public.
Data Friendly Space is a U.S. based INGO working across six continents to make modern data systems and data science accessible to the humanitarian and development communities. Our mission is to render informed, effective, and targeted aid the norm - not the exception - by supporting the global aid community through responsible, resource-efficient innovation.
We collect many new kinds of data, including measures of well-being generated from satellite images, data exhaust from government programs, and archival administrative records not previously used for policy design. Our open data platform (the SHRUG) seamlessly stitches these data sources together, making it one of India’s first high-resolution geographic frameworks for socioeconomic analysis. Our research uses cutting edge econometric and machine learning tools to generate policy-relevant insights that would be difficult to arrive at using other data sources. We focus on understanding how people born into poverty can live fulfilling and productive lives—and which policies and programs can help them do so.