PolicyEngine / PolicyEngine/policyengine-core
Reform impact explanations
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 22
- Forks
- 30
- Avg merge
- 14h 33m
- Merged PRs (30d)
- 7
Description
A common task analysts need to carry out is to understand why reforms impact subsections of society. It'd be really helpful for a (e.g.) streamlit-based chatbot to be able to answer questions about a reform, for example:
Pull out a household that benefits from the reform in the code box above.
OK, I picked household #2230.
Explain why they benefited?
Their net income increased by $X. It looks like this was because of their benefits, which in turn was because of their SNAP.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are identified in the issue. Start by reviewing the linked Streamlit chat API example and the reform-impact question flow described here; the work is done when the chatbot can identify an affected household and explain the income, benefits, and SNAP changes that caused the impact.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, streamlit
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100