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- OpenLMIS: Wesley Brown, Rebecca Alban (Unlicensed),
- Michael Downey (DIAL), Sandya Patil (Google)
Google/OpenLMIS Artificial Intelligence Collaboration Background
Sandya is on Google's machine learning team- their team looks into stockouts, demand forecasting
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- This wouldn’t actually be making modifications to the OpenLMIS codebase; they would be building a separate tool
- people should be able to pick up the tool and make it work for themselves
- Michael Downey is providing technical/legal support to this initiative on this
Summary of legal issues we are looking into:
- Google will not need to do any coding under our AGPL license, rather they would just need to use the data
- Google would do work under the Apache2 license
- Michael mentioned that there are few licenses that are often used for access to data: OpenData, Creative Commons, among others. Not sure what licenses Google prefers for this type of work.
- Is it possible to anonymize some of the individuals before licensing the data? Our data is at the facility level and doesnt have names or individual patient information, but some of it might need to be scrubbed
- If Google did want to make any code contributions (core or as a new service), would it be possible to have a specific license with them to get around the AGPL issues?
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