Hope Schroeder
Hi!
Hope Schroeder here. I’m a PhD student at the MIT Center for Constructive Communication. I’m interested in how language technologies can help us investigate social phenomena and facilitate communication on major challenges in the world today.
I’m studying LLMs as interpretation machines– in text analysis for the social sciences, in sensemaking, in dialogue within communities, and beyond. Get in touch if you want to talk about NLP, facilitated dialogue, AI in social research, or unique methods of understanding the media ecosystem.
I will be on the job market in 2026-2027.
2026 updates:
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I am sharing three pieces of accepted work at CHI 2026:
- My collaboration with Doug Beeferman studying user engagement with a RAG-based conversation sensemaking prototypecalled Forage. We engaged NPR journalists and city government workers from The City of Durham, North Carolina as users! Try the prototype here and read the paper here
- I am running a workshop led by William Agnew and co-organizing with Shivani Kapania, Marianne Aubin le Quéré, Sarah Fox, and Hoda Heidari, on the subject of developing standards for LLMs in human subjects research. Workshop website is here.
- I am a contributing author on “Interpretive Cultures: Resonance, randomness, and negotiated meaning for AI-assisted tarot divination,” led by Matthew Prock and Ziv Epstein. Read the paper here and consider another way that people are using AI to make sense of their personal experiences!
2025 updates:
- My piece with Deb Roy and Jad Kabbara on using LLMs in subjective annotation tasks, “Just put a human in the loop?”, was accepted to ACL Findings 2025, and was presented as a talk at IC2S2. ACL Proceedings hosted here!
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My piece, “Disclosure without Engagement,” a paper reviewing positionality statements at FAccT 2018–2024, was presented at FAccT 2025. This work stemmed from time with Solon Barocas on the Fairness, Accountability, Transparency, and Ethics in AI (FATE) team at Microsoft Research Labs in 2024, and Akshansh Pareek is also a collaborator. FAccT Proceedings hosted here!
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I shared three pieces of accepted work at CHI 2025:
- My collaboration with Marianne Aubin Le Quéré on “LLMs in Qualitative Research”) was presented as a full paper
- We presented a late-breaking work version of the Forage project at CHI. Read the paper here
- A collaboration led by Rock Pang on “Understanding the LLM-ification of CHI” was presented as a full paper, stemming from work done at Microsoft Research Labs in 2024
Some older updates:
- “Fora: A corpus and framework for the study of facilitated dialogue” was presented at ACL 2024 Main Conference and IC2S2 2024. Learn more about the corpus here and read the paper here!
- Our CHI 2024 workshop on LLMs as Research Tools has led to follow-up work understanding LLMs in qualitative research.
- In June 2023, Art and the Science of Generative AI, led by Ziv Epstein, came out as a Science Perspectives piece.
- In Spring 2023, I co-instructed a course on Generative AI for Constructive Communication at MIT.
About Me
Before coming to MIT, I was a pre-doctoral fellow at Stanford Law School working with Professor Julian Nyarko on applications of NLP methods for legal and policy questions. Before that, I graduated with an MSc in Social Data Science (Distinction) at the Oxford Internet Institute as a Clarendon Scholar at Christ Church. I was a 2019 graduate of Stanford in Symbolic Systems with honors.
Before getting into data science, I worked on projects using VR & AR to document and reimagine contested areas of public space. Our Magic Grant project on a contested plaque site at Stanford received global press. A case study on this work received the Best Case Study Award at CHI 2023!
Contact
Get in touch: hi@hopeschroeder.com