Eden Shaveet, M.S., C.P.S.
I am a Bridge to Ph.D. Scholar in the Department of Computer Science at Columbia University (New York, NY) working with the Adaptive Information Extraction from Social Media for Actionable Inferences in Public Health project team, advised by Luis Gravano, Ph.D. and Daniel Hsu, Ph.D. I am also an incoming NSF Computer and Information Science and Engineering Graduate (CSGrad4US) Fellow mentored by Katie Siek, Ph.D.
I hold an M.S. in Health Informatics and Analytics from Tufts University School of Medicine (Boston, MA) where I studied methods in data analysis and health information science in the Department of Public Health and Community Medicine under the advisement of Olaf Dammann, M.D., Ph.D. My master's capstone work was precepted by Vivian Neilley, M.S. at Google Cloud, Division of Healthcare and Life Sciences and culminated in the development of an open-access machine learning model and dataset disclosure (MDSD) curriculum: MDSD4Health (a simple and accessible introduction to MDSDs for healthcare and public health practitioners).
Historically, my work and research experience has revolved around young adult populations, peer-based mutual aid, and the technologies and web-based networks which facilitate peer-to-peer support in the healthcare system (I hold an active Certified Peer Specialist credential in the state of Massachusetts). Currently, my projects are rooted in public health infodemiology, geospatial analysis, reliable health information retrieval, and youth participatory action (I currently serve as Chair of the Research & Evaluation Subcommittee of the Youth Best Practice Committee at Youth MOVE National).
You can find my work published in such venues as the Journal of Medical Internet Research (JMIR) Formative Research, the Online Journal of Public Health Informatics, Frontiers in Digital Health, and the Journal of Communication in Healthcare. My work has also been featured in various Medium publications including Encode Justice and MLearning.ai.
✈️ I attended the IMPACT Symposium (Seattle, WA) through the Center to Optimize Evidence-Based Practice Implementation for Clinical Impact
🏆 I was awarded the NSF Computer and Information Science and Engineering Graduate (CSGrad4US) Fellowship to fund 3 years of my Ph.D. studies.
[July 2023 ]
📝 My poster, Logistic Regression Classifier-Based Indications of Foodborne Illness from Yelp Reviews: Exploring Temporal Variation and Socioeconomic Context (2012 - 2021), was presented at the Columbia University Pathways Programs (CUPP) Symposium.
📝 I published a new piece on my Medium blog, Psychoinformatics & Digital Phenotyping: ethical complexities of emerging digital surveillance practices.
🏆 I was awarded the 2023 MS in Health Informatics and Analytics Academic Achievement Award at Tufts University School of Medicine.
📝 We presented our poster, Text Classifier-Based Indications of Foodborne Illness Events from Yelp Reviews and Median Household Income by New York City Census Tract, 2020 (Shaveet, E., Hsu, D., Gravano, L.), at Columbia University's Data Science Day 2023 through the Data Science Institute (Will also be presented at the Columbia Smart Cities Center Poster Session)
📝 Our abstract, Where are prescription medications stored: an investigation into home medication management practices (Gualtieri, L., Boschetti, R., Rigby, M., Shaveet, E.), from the 26th Annual Meeting of ESPACOMP, the International Society for Medication Adherence was published in the International Journal of Clinical Pharmacy.
🤝 I joined the Stakeholder Advisory Board at the Center to Optimize Evidence-Based Practice Implementation for Clinical Impact (IMPACT Center), operating out of the University of Washington, Kaiser Permanente Washington Health Research Institute, and the University of Michigan.
📝 Our paper, Web-Based Health Information-Seeking Methods and Time Since Provider Engagement: Cross-sectional study (Shaveet, E., Urquhart, C., Gallegos, M., Dammann, O., Corlin, L.), was published in the Journal of Medical Internet Research (JMIR) Formative Research.
📝 Our paper, The Role of Home Medication Storage Location in Increasing Medication Adherence for Middle-Aged and Older Adults (Gualtieri, L., Shaveet, E., Estime, B., Patel, A.), was accepted for publication in Frontiers in Digital Health.
📝 Our paper, Designing a Browser Extension for Reliable Online Health Information Retrieval Among Older Adults Using Design Thinking (Shaveet E., Gallegos, M., Castle, J., Gualtieri, L.), was accepted for publication by the Online Journal of Public Health Informatics (OJPHI).
🎓 I delivered my master's capstone presentation, Developing a Free-Access Machine Learning Model & Data Set Disclosure (MDSD) Curriculum for Public Health & Healthcare Contexts, and completed the requirements to attain my Master of Science in Health Informatics & Analytics from Tufts University School of Medicine. (Check out the MDSD4Health website and read the blog in MLearning.ai)
📝 Our Learning Institute proposal, Design Thinking to Guide Innovation, was accepted to be presented at the American Public Health Association (APHA) 2022 Annual Meeting in November, 2022.
📝 My poster, "Free Food Near Me:" Mapping U.S. Food Assistance Google Search Volumes, Food Insecurity Rates, and Location of Feeding America Network Food Banks in 2020", was presented at the 2022 Tufts University Geographic Information Systems (GIS) Expo in May 2022 (Selected as one of "18 Best" to be taken by Tufts faculty to the 2022 Esri User Conference in San Diego, CA).
📝 The Digital Health Research Group's work was featured in our lab director, Dr. Lisa Gualtieri's, faculty research seminar for the Tufts University School of Medicine Department of Public Health & Community Medicine on medication adherence and contextual digital device design.
🎙️ I organized and facilitated a Health Informatics & Analytics student/alumni panel at Tufts University about health informatics and analytics master's capstone research preparation.
📝 Our teaching paper, Digital Health Innovation for Older Adults through Design Thinking, was published in the Journal of Communication in Healthcare: Gualtieri, L., Shaveet, E., Kim, D. (2022) Digital Health Innovation for Older Adults through Design Thinking, Journal of Communication in Healthcare, DOI: 10.1080/17538068.2022.2060665.
📸 My PI, Lisa Gualtieri, Ph.D., and I were featured in the Health Informatics & Analytics Newsletter at Tufts University School of Medicine highlighting an award of Springboard funds for work investigating the impact of medication storage location on medication adherence.
🎙️ I was invited to give a talk about youth data literacy and data justice to the Pacific Southwest Mental Health Technology Transfer Center's Peer Learning Community.
📝 Youth advocacy organization, Encode Justice, published my piece, Quantification & Representation: Accuracy Disparities in Usage of Differential Privacy Methodologies.
📝 My team and I presented pre-publication findings from our work investigating web-based health information seeking methods and time since provider engagement at the Tufts University Research Symposium on The Equity in America National Survey: Examining our Definition of Equity.
🎙️ I was invited to record a workshop for the Youth Move Change Initiative about the foundations of data justice-informed evaluation of youth programming.
📝 The Leveraging Environmental Epidemiology for Equity (LEEFE) Lab at Tufts University published my piece Online Data Mining in Food Safety Protocol: A Recipe for Disaster?
📝 My colleague, Ali Gold, and I gave a lightning talk at the National Institute on Disability and Rehabilitation Research (NIDILRR) State of the Science Research Convening about youth digital peer support practices throughout the COVID-19 pandemic at the Massachusetts Young Adult Access Centers.