Free Machine Learning / Data Science Help for Non-Profit and Governmental Organizations
If you are in the public sector (national or local government, in the US or other countries) or in the social sector (non-profit or social enterprises), and your organization could use free machine learning expertise to improve its societal impact, please contact Rayid Ghani (rayid@cmu.edu).
Best cases are those where the potential for societal impact is evident, the questions are well defined, and significant relevant data is available. Otherwise, we will work with you to define the project and get it ready for our students.
Machine Learning for Social Good (ML4SG) is an undertaking of Carnegie Mellon University’s School of Computer Science to enhance SCS’s research and education in applying machine learning to problems of societal impact.
This initiative is supported by a recently announced generous gift to SCS from Uptake. One activity supported by the Uptake fund is the matching of public sector and social sector organizations that face machine learning challenges with suitable SCS students, who would work on these problems as part of their educational experience, under faculty supervision.
