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https://github.com/darenasc/awesome-data-for-good

Curated list of resources about Data for Good, Data Science for Good, Data Science for Social Good, Data Science for Public Good, Data for Humanity.
https://github.com/darenasc/awesome-data-for-good

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Curated list of resources about Data for Good, Data Science for Good, Data Science for Social Good, Data Science for Public Good, Data for Humanity.

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# Awesome Data for Good 



Curated list of resources about Data for Good, Data Science for Good, Data Science for Social Good, Data Science for Public Good, Data for Humanity.



[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

![](https://img.shields.io/github/last-commit/darenasc/awesome-data-for-good/main)



## Table of Contents 

- [Books](#books)

- [Courses](#courses)

- [Data Science for Social Good Summer Programs](#data-science-for-social-good-summer-programs)

- [Ethics](#ethics)

- [Events](#events)

- [Funding](#funding)

- [Global projects](#global-projects)

- [Organisations](#organisations)

- [Readings](#readings)

- [Research](#research)

  - [Workshops](#workshops)

- [Resources](#resources)

- [Frameworks, Guidelines, and Standards](#frameworks-guidelines-and-standards)

- [Other awesome awesome repositories](#other-awesome-awesome-repositories)



## [Books](book-list.md)



## Courses



* [Data for Social Impact course](https://trainingspi.wustl.edu/courses/data-science-for-social-impact--4f8b9d53-2d3e-42f4-88fd-9f07ebabbdee/salespage) by the  Social Policy Institute (SPI) at Washington University in St. Louis.

* [Foundations of Humane Technology](https://www.humanetech.com/course). A free, self-paced online course for professionals shaping tomorrow's technology



## Data Science for Social Good Summer Programs



* [Data Science for Social Good summer at eScience Institute, University of Washington, US](https://escience.washington.edu/using-data-science/data-science-for-social-good/). [(Projects 2022)](https://escience.washington.edu/2022-data-science-for-social-good-projects/)

* [Data Science for Social Good at Warwick University, UK](https://warwick.ac.uk/research/data-science/warwick-data/dssgx/).

* [Data Science for Social Good Fellowship at DFKI, Germany](https://sebastian.vollmer.ms/dssg/).

* [Data Science for Social Good, Munich 2023, Germany](https://sites.google.com/view/dssgx-munich-2023/startseite?authuser=0).

* [Data Science for Social Good Summer Fellowship at Carnegie Mellon University, US](https://www.dssgfellowship.org).

* [Data Science for Social Good at Data Science Institute, University of British Columbia, US](https://dsi.ubc.ca/data-science-social-good).

* [Data Science for Social Good Summer Program at Stanford University, US](https://datascience.stanford.edu/programs/data-science-social-good-summer-program).

* [Data Science for the Common Good at Center for Data Science, University of Massachussetts Ahmherst, US](https://ds.cs.umass.edu/industry/data-science-common-good).

* [Data Science for the Public Good, Biocomplexity Institute, University of Virginia, US](https://biocomplexity.virginia.edu/institute/divisions/social-and-decision-analytics/dspg).

* [Data Science for the Public Good Young Scholars Program, Iowa State University, US](https://dspg.iastate.edu).

* [Florida Data Science for Social Good (FL-DSSG) Program, US](https://dssg.unf.edu).



## Ethics



* [deon](https://deon.drivendata.org). An ethics checklist for data scientists.

* [Ethical OS Toolkit](https://ethicalos.org). a guide to anticipating the future impact of today’s technology.

* [Ethically Aligned Design v2](https://standards.ieee.org/wp-content/uploads/import/documents/other/ead_v2.pdf). A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems.

* The Markkula Center's [An Ethical Toolkit for Engineering/Design Practice](https://www.scu.edu/ethics-in-technology-practice/ethical-toolkit/) ([pdf](https://www.scu.edu/media/ethics-center/technology-ethics/Ethics-Toolkit.pdf))

* [Practical Data Ethics course](https://ethics.fast.ai). 

* [Practitioner's Guide Data Ethics Toolkits v1.0](https://datakind-ai-ethics.netlify.app/#/). Within this handbook, we attempt to analyze and critique some key tools, packages and software for fairness and explainability of algorithms, in order to assist you when developing techniques around data.



## Events



* [AI for Good Global Summit](https://aiforgood.itu.int). AI for Good is a year-round digital platform where AI innovators and problem owners learn, build and connect to identify practical AI solutions to advance the UN SDGs.

* [Geo for Good Summit 2024](https://earthoutreachonair.withgoogle.com/events/geoforgood24-dublin), [2023](https://earthoutreachonair.withgoogle.com/events/geoforgood23), [2022](https://earthoutreachonair.withgoogle.com/events/geoforgood22), [2021](https://earthoutreachonair.withgoogle.com/events/geoforgood21), [2020](https://earthoutreachonair.withgoogle.com/events/geoforgood20). The Summit is intended for nonprofit, academic, public sector, private sector, and Indigenous peoples and local communities who are using (or want to learn to use) our mapping tools (such as Google Earth, Earth Engine, Environmental Insights Explorer, and My Maps) for planetary sustainability and human resilience around the world.

* [Good Tech Fest](https://www.goodtechfest.com). Driving Impact with Emerging Technologies.



## Funding



* [Google.org Impact Challenge: Tech for Social Good](https://impactchallenge.withgoogle.com/techforsocialgood). Get up to six months of full-time support from a team of Google.org Fellows and up to €3M funding for ‘Tech for Social Good’ projects.

* [Skoll Foundation](https://skoll.org). We invest in social entrepreneurs and other social innovators who offer a compelling vision, creative solutions, and proven approaches.

* [X-Prize Foundation](https://www.xprize.org). A trusted, proven platform for impact that leverages the power of competition to catalyze innovation and accelerate a more hopeful future by incentivizing radical breakthroughs for the benefit of humanity.



## Global projects



* [UN Sustainable Development Goals](https://sdgs.un.org/goals)

* [Global Index on Responsible AI](https://www.responsibleaiindex.org)



## Organisations



* [AI in Africa](https://aiinafrica.org). 

AI in Africa is a platform which delivers forward-thinking initiatives that equip the next generation of leaders with the skills and mindset to succeed tomorrow’s world.

* [AINow Institute](https://ainowinstitute.org). The AI Now Institute aims to produce interdisciplinary research and public engagement to help ensure that AI systems are accountable to the communities and contexts in which they’re applied.

* [Correlaid](https://correlaid.org/en/). CorrelAid is a non-partisan non-profit network of data science enthusiasts who want to change the world through data science.

* [Data2x](https://data2x.org). We drive solutions to fill gender data gaps.

* [Data for Development Network (D4D.net)](https://www.d4d.net). Advancing the ethical and responsible use of data to address critical development challenges both globally and locally.

* [Data for Good Canada](https://dataforgood.ca). We are a collective of passionate socially minded people who are empowering social change makers to be better by allowing their data to speak to them.

* [Data For Good France](https://dataforgood.fr). Accélérateur citoyen d'intérêt général.

* [Data for Good Madrid](https://www.dataforgoodmad.com). Somos una comunidad de Data Scientists para crear impacto.

* [Data for Good Netherlands](https://data-for-good.com/#). Empowering People to Overcome the Global Challenges our Planet Faces Together.

* [DataForGoodBCN](http://dataforgoodbcn.com). Un colectivo de personas voluntarias que usamos nuestras habilidades para ayudar a ONGs y entidades sociales a aprovechar el poder de sus datos.

* [DataDotOrg](https://data.org): Democratizing data, for good. data.org is a platform for partnerships to build the field of data science for social impact. We work with organizations from all over the world to increase the use of data science in order to improve the lives of millions of people.

* [DataKind](https://www.datakind.org). Our mission is to transform the impact of social change organisations through data science capacity building, for the benefit of the people of the UK and other parts of the world.

* [DataKindUK](https://datakind.org.uk). Our mission is to transform the impact of social change organisations through data science capacity building, for the benefit of the people of the UK and other parts of the world.

* [Data Science for Social Good Foundation](http://www.datascienceforsocialgood.org). We create and sustain communities, programs, and solutions that enhance the use of responsible data science and AI for equitable social good.

* [Data Science for Social Good Portugal](https://www.dssg.pt/en/home/). We help non-profit, non-governmental and governmental organizations harness the power of their data to improve its impact on the community.

* [DSSG Berlin](https://dssg-berlin.org/en/). We help NGOs to make use of their data by connecting them with volunteer data scientists and analysts.

* [DrivenData](https://www.drivendata.org): Data science competitions to build a better world.

* [GIZ Data-lab](https://www.blog-datalab.com). Brings together practitioners and creatives to promote the effective, fair, and responsible use of digital data for sustainable development.

* [Humanitarian OpenStreetMap Team](https://www.hotosm.org). An international team dedicated to humanitarian action and community development through open mapping.

* [Institute for Accountability in the Digital Age (I4ADA)](https://i4ada.org). The mission is to ensure that those issues and concerns do not undermine the Internet’s potential for increasing access to knowledge, spreading global tolerance and understanding, and promoting sustainable prosperity.

* [Mechanism Design for Social Good (MD4SG)](https://www.md4sg.com). A multi-institutional initiative using techniques from algorithms, optimization, and mechanism design, along with insights from other disciplines, to improve access to opportunity for historically underserved and disadvantaged communities.

* [Nesta](https://www.nesta.org.uk). The UK's innovation agency for social good.

* [Partnership on AI (PAI)](https://partnershiponai.org). Non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances positive outcomes for people and society.

* [OECD AI Policy Observatory](https://oecd.ai/en/). We provide data and multi-disciplinary analysis on artificial intelligence. Our diverse global community of partners makes this platform a unique source of information and dialogue on AI.

* [SoGooD²ata](https://sogooddata.org/). Spanish NGO which aims at solving social issues applying data science techniques.

* [UN Global Pulse](https://www.unglobalpulse.org). Brings together governments, UN entities and partners from academia and the private sector to design, co-create and scale innovations.

* [Viz for social good](https://www.vizforsocialgood.com). Connecting data enthusiasts with mission-driven organizations.

* [ThinkTech NGO](https://www.thinktech.ngo). ThinkTech is a politically neutral non-governmental organisation. We are committed to the independence and autonomy of ThinkTech’s projects and do not accept funding that is conditioned upon conducting research in a particular manner, achieving a particular result, or taking a predetermined position.



## Readings



* [AI for Good: Applications in Sustainability, Humanitarian Action, and Health](https://www.wiley.com/en-us/AI+for+Good%3A+Applications+in+Sustainability%2C+Humanitarian+Action%2C+and+Health-p-9781394235889). Discover how AI leaders and researchers are using AI to transform the world for the better. January 2024, 432 Pages.

* [AI for Social Good, Using Artificial Intelligence to Save the World](https://www.wiley-vch.de/en/areas-interest/finance-economics-law/business-management-13ba/general-introductory-business-management-13ba0/business-technology-13ba03/ai-for-social-good-978-1-394-20578-3). Understand the real power of AI and and its ability to shape the future for the better. March 2024, 336 Pages.

* [Responsible Data Handbooks](https://the-engine-room.github.io/responsible-data-handbook/). Being, a Complete, Illustrated Guide to Responsible Data Usage, Manners, and General Deportment. The Engine Room, 2021.

* [The Data for Good Growth Map](https://escience.washington.edu/wp-content/uploads/2021/11/Data4Good_GrowthMap.pdf), whitepaper. Decision Points for Designing a University-Based Data for Good Program (November 2021). eScience Institute, University of Washington, US.

* [The Open Data Handbook](http://opendatahandbook.org/guide/en/). This handbook discusses the legal, social and technical aspects of open data. It can be used by anyone but is especially designed for those seeking to **open up** data. It discusses the **why, what and how** of open data – why to go open, what open is, and the how to ‘open’ data.



## Research



* [ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization](https://eaamo.org).

* [ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)](https://facctconference.org/).

* [ACM GOODIT 2024](https://blogs.uni-bremen.de/goodit2024/). ACM 4th International Conference on Information Technology for Social Good. 4-6 September 2024, Bremen, Germany.

* [Artificial Intelligence, Ethics, and Society Conference (AAAI/ACM)](https://www.aies-conference.com/2024/).

* [Data for Social Good](https://link.springer.com/book/10.1007/978-981-19-5554-9) open access book (2023). Non-Profit Sector Data Projects.

* [Journal of Computational Social Science](https://www.springer.com/journal/42001).

* [Fairness, Accountability, and Transparency in Machine Learning (FATML)](https://www.fatml.org).

* [Meta's Data for Good](https://dataforgood.facebook.com/dfg/about).

* [Microsoft's AI For Good Research Lab](https://www.microsoft.com/en-us/research/group/ai-for-good-research-lab/).

* [The Eurpoean Phisical Journal (EPJ) Data Science](https://epjdatascience.springeropen.com)

* [The International Peace Information Service (IPIS)](https://ipisresearch.be). An independent research institute providing tailored information, analysis and capacity enhancement to support those actors who want to realize a vision of durable peace, sustainable development and the fulfillment of human rights.

* [Stanford Social Innovation Review](https://ssir.org/). 



### Workshops

* [NeurIPS2018 AI For Social Good Workshop (AISG)](https://aiforsocialgood.github.io/2018/).

* [ICLR2019 AI For Social Good Workshop (AISG)](https://aiforsocialgood.github.io/iclr2019/)

* [ICML2019 AI For Social Good Workshop (AISG)](https://aiforsocialgood.github.io/icml2019/)

* [NeurIPS2019 Joint Workshop on AI for Social Good (AISG)](https://aiforsocialgood.github.io/neurips2019/index.htm). 



## Resources



* [ATLAS of Sustainable Development Goals 2023](https://datatopics.worldbank.org/sdgatlas/). Presents interactive storytelling and data visualizations about the 17 Sustainable Development Goals.

* [Correlaid documentation for Data for Good projects](https://docs.correlaid.org).

* [Correlaid's Projects Database](https://www.correlaid.org/en/using-data/project-database/)

* [Data for Good Organisations Map](https://epsilon.cs.ucy.ac.cy/index.php/sample-page/european-map/).

* [Data Science for the Public Sector](https://github.com/DS4PS/). Courses and tools to create capacity and attract talent in the public and nonprofit sectors

* [Data to the People](https://www.datatothepeople.org). Data To The People is a global leader in data literacy assessment and development.

* [Decision Tree for the Responsible Application of AI](https://www.aaas.org/ai2/projects/decision-tree-practitioners). A guide to operationalizing a broad set of principles that AAAS has identified as core components of an ethical approach to developing and implementing artificial intelligence.

* [fAIr: AI-assisted Mapping](https://github.com/hotosm/fAIr). Open AI-assisted mapping service developed by the [Humanitarian OpenStreetMap Team (HOT)](https://www.hotosm.org/) that aims to improve the efficiency and accuracy of mapping efforts for humanitarian purposes.

* [GapMinder](https://www.gapminder.org). Gapminder identifies systematic misconceptions about important global trends and proportions and uses reliable data to develop easy to understand teaching materials to rid people of their misconceptions.

* [Global Index on Responsible AI](https://www.responsibleaiindex.org). Measuring progress on the responsible use of AI in over 120 countries around the world.

* [Global Partnership for Sustainable Development Goals](https://www.data4sdgs.org). A global network using data to achieve the Sustainable Development Goals—improving lives, fighting inequality, and promoting environmental sustainability.

* [Open Source for Social Sector Organizations](https://socialimpact.github.com/developers//intro-to-open-source/). A guide on how to implement open source for organizations who are driving social impact.

* [Our World in Data](https://ourworldindata.org). Research and data to make progress against the world’s largest problems.

* [UN Global Platform](https://unstats.un.org/bigdata/un-global-platform.cshtml). Data For the World. A global collaboration to harness the power of data for better lives.

* [SDG Data Availability Monitor (beta)](https://sdg-monitor.ethz.ch).

* [The Humanitarian Data Exchange](https://data.humdata.org). Find, share and use humanitarian data all in one place.

* [THE TECH WORKER HANDBOOK](https://techworkerhandbook.org). The Tech Worker Handbook is a collection of resources for tech workers who are looking to make more informed decisions about whether to speak out on issues that are in the public interest.



## Frameworks, Guidelines, and Standards



* [Data maturity framework for the not-for-profit sector](https://static1.squarespace.com/static/5d514d1775e9c90001345670/t/620b8207ec052e35eb5d713c/1644921354014/Data_Orchard_Data_Maturity_Framework_v2.1+2022-14-02.pdf). Version 2.1 © Data Orchard CIC January 2022, replacing version 2 published October 2019 and version 1 created in partnership with DataKind UK in January 2017.

* [Digital Public Goods Standard](https://digitalpublicgoods.net/standard/). The Digital Public Goods Standard is a set of specifications and guidelines designed to maximise consensus about whether a digital solution conforms to the definition of a digital public good.

* [Principles for Digital Development](https://digitalprinciples.org). The Principles for Digital Development are nine living guidelines that are designed to help integrate best practices into technology-enabled programs and are intended to be updated and refined over time.

* [The Montréal Declaration for a Responsible Development of Artificial Intelligence](https://montrealdeclaration-responsibleai.com/the-declaration/).



## Other awesome awesome repositories



* [Awesome AI Guidelines](https://github.com/EthicalML/awesome-artificial-intelligence-guidelines)

* [Awesome GIS](https://github.com/sshuair/awesome-gis)

* [Awesome Public Datasets](https://github.com/awesomedata/awesome-public-datasets)

* [Awesome Production Machine Learning](https://github.com/EthicalML/awesome-production-machine-learning)

* [Awesome Python](https://github.com/vinta/awesome-python)

* [Public APIs](https://github.com/public-apis/public-apis)

* [Satellite image deep learning](https://github.com/satellite-image-deep-learning/techniques)