Proposalreview
Problem:
Thousands of proposals received each month for federal funding opportunities.
- Need to make decisions on whether or not to fund companies quickly.
- Millions of dollars spent on which companies to fund, and how to fund them.
- Want to fund the best companies with the most robust AI enabling technology.
Process looks like: - government identifies a need and puts out a soliciation. Ideally this solicitation is very well thought out. - government advertises solicitation to people via emails, marketing, newsletter - government receive many proposals for the solicitation, and needs to review them. - government initially want to filter out bad proposals. - government route proposals to the right person to review - ideally subject matter experts - government emails each reviewer them the link / documents to review - each reviewer goes and reads the document entirely by hand, assigns a score based on the rubric - admin merges all the predictions / reviews to get a final score - ideally have an AI model help speed up the review process by extracting info from each proposal and giving a guided score - the AI model needs to be accurate (answers + sources) and explainable, that way AI assisted info is relevant and tailored. - input the results from the proposal evaluation into valideval for each item. - government does final compliance check, and then awards people the funding based on the proposal they do.
Classification with Anote
Categories include:
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- Other: (programmatic labeling for this category)
Emailing Reviewers with Upreach
Joining the table with people and categories from the download page - For each person, create the link and send them an email with upreach