This repository contains resources for Data Science for Social Good. Over time, I will be adding simple Jupyter Notebooks for beginners to learn how to start using data science for social good.

1. ICML 2019 - https://aiforsocialgood.github.io/icml2019/
2. IJCAI 2019 -
3. ICLR 2019 -
4. WWW 2019 -
5. NIPS 2018 - https://aiforsocialgood.github.io/2018

1. Driven Data - htttps://www.drivendata.org
2. AI and Social Good - https://sites.google.com/view/aiandsocialgood/
3. DSSG Solve - https://solveforgood.org

1. UN Global Pulse - https://www.unglobalpulse.org/
2. UNOPS (UNOCHA)
3. Tech for Good - http://www.techforgood.global/
4. DataKind

1. MIT IDSS: https://idss.mit.edu/
2. Berkman Klien Centre for Internet and Society, Harvard - https://cyber.harvard.edu/
3. PhD: Interdisciplinary PhD in Social & Engineering Systems and Statistics
4. CMU Machine Learning for Social Good - https://www.cmu.edu/scs/ml4sg/
5. DSSG Chicago University - https://dssg.uchicago.edu/
6. DSSG Alan Turing Intsitute - https://www.turing.ac.uk/collaborate-turing/data-science-social-good
7. CMU AutonLab - https://www.autonlab.org/

1. Open Government Data Platform India - https://data.gov.in/
2. HDX - Humanitarian Data Exchange - https://data.humdata.org/

1. https://github.com/dssg/hitchhikers-guide