Pervasive Intelligent Systems (Persist) Lab

Welcome to Persist (Pervasive Intelligent Systems) Lab, at Dartmouth, CS!

Overview of Research: AI holds great promise for improving human communication and interaction. However, data-driven solutions often overlook key human-centric challenges, such as ambiguous and fragmented information and implicit contexts. Our work bridges natural language processing (NLP) and human-AI interaction with a focus on computational healthcare. We create innovative solutions to address communication gaps in health-related interactions that impact treatment adherence and outcomes. Our research includes analyzing data from Electronic Health Records (EHR), patient portals, online health communities, social media, and sensors, tackling issues at individual and community levels.

At the individual level, we create innovative solutions to enhance patient-provider communication on patient portals leveraging multimodal EHR data. This includes AI-powered tools that assist patients in crafting clearer messages and triage systems that help providers respond to patient inquiries efficiently. At the community level, we develop NLP solutions to identify and contextualize treatment information needs from online health communities, such as rumors, misinformation, and knowledge gaps. Our ultimate goal is to inform the design of tailored solutions to enhance both patient-provider and patient-patient communications to improve treatment adherence and outcome.

News and Announcements

23 September, 2024
Our NIH R21 has been selected for funding (Total funding: $451K, Role: PI, Title: "Characterizing Information Needs and Peer Engagement Regarding Medication for Opioid Use Disorder on Social Media")! I am so thankful to my fantastic co-Is Dr. Sarah Lord, Dr. Jacob Borodobsky, and mentor Dr. Lisa Marsch, for their support. We will build human-centric NLP pipelines to analyze online discourse on recovery treatment and improve patient education and communication. Thank you, NIH!
20 September, 2024
Congratulations to Omar et al. for the EMNLP 2024 paper: Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments!
30 July, 2024
Congratulations to Madhusudan and others. Our group is in Researcher Access Program. We received a $5k API credit and will continue to assess OpenAI models on human-centric NLP tasks.
25 July, 2024
Dartmouth SYNERGY team received a $27.7M funding through NIH’s Clinical and Translational Science Award (PIs: Drs. Steven L. Bernstein, Anna N.A. Tosteson, Keith D. Paulsen). As a co-PI, my students and I will work on the development of an NLP pipeline to analyze pre-visit questionnaire responses and clinical notes, aiming to assess goal-aligned care.
10 June, 2024
Excited to receive the Hitchcock Foundation Pilot Research Grant ($50K, role: PI). In collaboration with DHMC providers, we will develop human-centric NLP solutions to triage patient portal messages. We also made it to the final round of the DIADH Accelerator.
4 June, 2024
We successfully wrapped the Reliable Evaluation of LLMs for Factual Information (REAL-Info) workshop at ICWSM-2024! Thanks to my wonderful co-organizers, students, and all our participants! Special thanks to Dr. Munmun De Choudhury for her amazing keynote!
16 May, 2024
Congratulations to Omar et al. for the ACL 2024 paper: Deciphering Hate: Identifying Hateful Memes and Their Targets!
21 April, 2024
Check out our paper Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit, at Reliable Evaluation of LLMs for Factual Information (REAL-Info) workshop, co-located with ICWSM-2024.
8 March, 2024
We have posted two new pre-prints on arXiv! (1) Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data (2) Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse. Check them out!
17 January, 2024
One paper on Multimodal Learning accepted at EACL-2024 SRW. Congratulations to Eftekhar, Omar, and other co-authors.
09 December, 2023
One paper accepted at AAAI-2024. Congratulations to Omar, Madhu, and other co-authors.
23 October, 2023
One paper accepted in GEM Workshop at EMNLP-2023. Congratulations to Joey and other co-authors.
06 October, 2023
Two papers accepted at EMNLP-2023. Congratulations to Joey, Parker, and Omar! Papers and codes will be released soon.
21 August, 2023
Congratulations to Joey for successfully passing his Research Presentation Exam (RPE).
15 July, 2023
One paper accepted at ICWSM-2024. Congratulations to Will, Omar, Madhu, and other authors!
26 June, 2023
Congratulations to Parker for presenting his paper in ICHI-23.
5 June, 2023
Congratulations to Joey and Parker for presenting their papers (Paper-1, Paper-2) in ICWSM-23.
12 September, 2022
Congratulations to Omar for being awarded the Presidential Graduate Fellowship from Dartmouth.
10 September, 2022
Welcome to our new PhD students, Madhusudan Basak and Omar Sharif!
21 August, 2022
Welcome to Lutz Lu, Vasavi Garimella, Dae Lim Chung, Vasavi Garimella, Garrett Johnston, Burke Jaeger, Love Tsai, Zhanel Nugmanova, who have joined the PersistLab!
22 May, 2022
Congratulations to Parker on being named a Guarini PhD Innovation Fellow.