Projects
Research Staff: Henrique Santos
Funding Agency/Sponsor: William T. Grant Foundation
How do clinical supervisory decisions improve the use of research evidence in mental health treatment activities and youth mental health outcomes?
Research Staff: John S. Erickson, Henrique Santos
ChatBS: A Context-aware LLM Exploratory Sandbox uses the OpenAI Completion API service (GPT-4-0613 model) to answer questions. Each sentence in a ChatBS result is automatically linked to a Google query to facilate fact-checking. If requested, ChatBS can then use the OpenAI API to construct an entity/relation graph of these results in the form ['entity1', 'relationship', 'entity2'].
Research Staff: Henrique Santos
Funding Agency/Sponsor: National Institutes of Health
Research Staff: Jamie McCusker
Whyis is a nano-scale knowledge graph publishing, management, and analysis framework. Whyis aims to support domain-aware management and curation of knowledge from many different sources. Its primary goal is to enable creation of useful domain- and data-driven knowledge graphs. Knowledge can be contributed and managed through direct user interaction, statistical analysis, or data ingestion from many different kinds of data sources.
Research Staff: Henrique Santos, Jamie McCusker, John S. Erickson
Funding Agency/Sponsor: National Institutes of Health
Research Staff: Jamie McCusker, Henrique Santos, Sabbir M. Rashid
Funding Agency/Sponsor: Defense Advanced Research Projects Agency
Automated clusteRing Curriculum LearnIng Guided by Human Training (ARCLIGHT), is a classification engine capable of (1) automated discovery and characterization of objects and activities in multimedia data and (2) solicitation of input from human analysts to refine, correct, or update its internal knowledgebase.