Eden Shaveet, M.S., C.P.S.

About Eden

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.Β  Our work aims to augment current methods in public health needs assessments and passive syndromic surveillance using unstructured, user-generated data sources from online social media platforms.

I'm a 2023 winner of the Patient Safety Technology Challenge for the development of memorAIs (DivHacks Hackathon) and the 2023 Health Informatics and Analytics Academic Achievement Award (Tufts University School of Medicine).Β 

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.

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.

News

2024

[Jan 2024]

🎨 My art (Shoulders, 2023) was featured in the inaugural issue of Lab Rats Magazine!

πŸ† My team won the Trailblazers in Tailored Tools Award from Schrodinger at the 2024 Hacking the Gender Stack Hackathon for our project, SciInfo!

2023

[Dec 2023]

πŸ“ Our preprint, memorAIs: an Optical Character Recognition and Rule-Based Medication Intake Reminder-Generating Solution (Shaveet, E., Singh, U., Assaderaghi, N., Librandi, M.) is available on arXiv

[Nov 2023]

✈️ I attended the IMPACT Symposium (Seattle, WA) through the Center to Optimize Evidence-Based Practice Implementation for Clinical Impact

[Oct 2023]

πŸ“° Our medication-intake reminder application, memorAIs, was featured on the Patient Safety Technology Challenge blog

[Sept 2023]

πŸ† My team won two awards at the 2023 DivHacks Hackathon for our project, memorAIs!

[Aug 2023]Β 

πŸ† 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 ]Β 

πŸ“ My poster, Logistic Regression Classifier-Based Indications of Foodborne Illness from Yelp Reviews: Exploring Temporal Variation and Socioeconomic Context (2012 - 2021) (Shaveet, E., Hsu, D., Gravano, L.), was presented at the Columbia University Pathways Programs (CUPP) Symposium.

[June 2023]Β 

πŸ“ I published a new piece on my Medium blog, Psychoinformatics & Digital Phenotyping: ethical complexities of emerging digital surveillance practices.

[May 2023]Β 

πŸ† I was awarded the 2023 MS in Health Informatics and Analytics Academic Achievement Award at Tufts University School of Medicine.

[May 2023]Β 

πŸŽ™οΈ I spoke at a U.S. congressional briefing organized by Friends of NIMH about the impact of National Institute of Mental Health (NIMH)-funded research

[April 2023]Β 

πŸ“ 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)

[March 2023]Β 

πŸ—³οΈ I was appointed Chair of the Research & Evaluation Subcommittee of the Youth Best Practice Committee at Youth MOVE National.

[Feb 2023]Β 

πŸ“ 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.

2022

[Dec 2022]

🀝 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.

[Nov 2022]

πŸ“ 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.

[Oct 2022]

πŸ“ 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.

[Sept 2022]

πŸ“ 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).

[Augt 2022]

🀝I joined the Department of Computer Science at Columbia University as a Bridge to PhD Scholar under the advisement of Luis Gravano, PhD and Daniel Hsu, PhD.

[July 2022]

πŸŽ“ 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.Β  (Check out the MDSD4Health website and read the blog in MLearning.ai)

[June 2022]

πŸ“ 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.

[June 2022] πŸŽ™οΈ I spoke on a panel for SAMHSA's National Training & Technical Assistance Center (NTTAC) about career pathways in research and evaluation relating to youth and young adult populations.

[May 2022]

πŸ“ 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).

[May 2022]

πŸ“ 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.

[April 2022]

πŸŽ™οΈ I organized and facilitated a Health Informatics & Analytics student/alumni panel at Tufts University about health informatics and analytics master's capstone research preparation.

[April 2022]

πŸ“ 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.

[Feb 2022]Β 

πŸ“Έ 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.

[Jan 2022]Β 

πŸŽ™οΈ 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.

[Jan 2022]Β 

πŸ“ Youth advocacy organization, Encode Justice, published my piece, Quantification & Representation: Accuracy Disparities in Usage of Differential Privacy Methodologies.

2021

[Nov 2021]

πŸ“ 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.

πŸŽ™οΈ I was invited to record a workshop for the Youth Move Change Initiative about the foundations of data justice-informed evaluation of youth programming.

[Sept 2021]Β 

πŸ“ 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?

[Aug 2021]

Β πŸ“ 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.