[UG/MS/PhD] AI/ML Research in AI for Social Good – Homelessness Outreach Casenotes

The following announcement is from [Prof. Angela Zhou]. Please contact them directly if you have any questions.

Join our team on an AI for Social Good project in collaboration with a leading homelessness services nonprofit. We’re using AI and Natural Language Processing (NLP) to analyze caseworker notes and evaluate the impact of street outreach interventions. You’ll help build practical tools that have a direct social impact. You can learn more about the data and some of our earlier efforts here: https://arxiv.org/abs/2502.10605

The main goal is to develop and improve AI summaries for our nonprofit partners for case histories. We would like to build on a classification schema to develop evals for summaries and explore visualization interfaces for surfacing evidence and citations between summaries and source text. There is a lot of room for additional work, e.g. exploring uncertainty quantification, interface of summaries and Markov decision process models, etc.

Requirements

• Background in machine learning and interest in NLP

• Enthusiasm, interest and curiosity in applying CS/AI to social good challenges.

• Sensitivity to the domain (confidential data in homelessness services)

• Interest in working with Large Language Models (LLMs) and applied NLP.

A paid stipend is available, with the scope of work determined by milestones, and your experience and availability. For undergraduates interested in research authorship, we can discuss expanded opportunities for exploration in ongoing research projects.

To apply, please fill out this Google form: https://docs.google.com/forms/d/e/1FAIpQLSf_C7tGmwAkgDZFJYIZNNDA-e7PZ-cHc1u8V6haju2N5s41Ew/viewform?usp=sharing&ouid=103522871584924866555

To learn more about our lab’s work more generally, visit: https://angelamzhou.github.io/

Prof. Angela Zhou

Department of Data Sciences and Operations and Computer Science

Published on January 27th, 2026Last updated on January 27th, 2026