TY - GEN
T1 - A Human-Centered Intelligent Search Experience
T2 - 21st IEEE International Conference on e-Science, eScience 2025
AU - Shan, Pengyin
AU - Cox, Adam
AU - Kumar, Shubham
AU - Kolak, Marynia
N1 - The project is funded in part by the Robert Wood Johnson Foundation.
PY - 2025
Y1 - 2025
N2 - Public health research increasingly depends on integrating diverse datasets related to the social determinants of health (SDOH), such as demographics, environmental conditions, economic indicators, and community resources. Yet researchers, especially those new to SDOH domains, often face challenges in discovering relevant data due to specialized terminology and fragmented distribution across multiple agencies. We will provide the highlights of the SDOH & Place Data Discovery application, which combines a metadata management system with a search and discovery web interface built through human-centered design. The platform provides standard facet-based search as well as a conversational interface that leverages LLM for natural language interpretation. Our platform will lower the barrier to entry for SDOH research and empower researchers to more easily identify, understand, and utilize place-based health determinants data critical for their analysis.
AB - Public health research increasingly depends on integrating diverse datasets related to the social determinants of health (SDOH), such as demographics, environmental conditions, economic indicators, and community resources. Yet researchers, especially those new to SDOH domains, often face challenges in discovering relevant data due to specialized terminology and fragmented distribution across multiple agencies. We will provide the highlights of the SDOH & Place Data Discovery application, which combines a metadata management system with a search and discovery web interface built through human-centered design. The platform provides standard facet-based search as well as a conversational interface that leverages LLM for natural language interpretation. Our platform will lower the barrier to entry for SDOH research and empower researchers to more easily identify, understand, and utilize place-based health determinants data critical for their analysis.
KW - Data Discovery
KW - Large Language Model
KW - Public Health
KW - SDOH
KW - Social Determinants of Health
KW - Solr
UR - https://www.scopus.com/pages/publications/105019530288
UR - https://www.scopus.com/pages/publications/105019530288#tab=citedBy
U2 - 10.1109/eScience65000.2025.00073
DO - 10.1109/eScience65000.2025.00073
M3 - Conference contribution
AN - SCOPUS:105019530288
T3 - Proceedings - 2025 IEEE International Conference on e-Science, eScience 2025
SP - 365
EP - 366
BT - Proceedings - 2025 IEEE International Conference on e-Science, eScience 2025
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 September 2025 through 18 September 2025
ER -