Joanne Luciano Projects

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Joanne S. Luciano
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Emailjluciano@rpi.edu
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Project PI

Health on the Web
Principal Investigator: Deborah L. McGuinness and Joanne S. Luciano
Description: The Tetherless World Constellation's Health on the Web's primary goal is to explore the next generation web technology needed to improve health.
TW LogoNightingale: Proactive Depression Treatment with Individual Social, Sensory and Virtual Technologies. (Nightingale)
Principal Investigator: Mei Si, Joanne S. Luciano, and Jonas Braasch
Description: Depression costs! Each year, billions of dollars are wasted and millions of lives are disrupted because depression is complex, access is limited, treatments are one-size-fits-all, and therapies are trial and error. Nightingale aims to develop innovative solutions using social machines, virtual reality, and pervasive sensor technologies. The goals are: (1) predict an upcoming depression based on personalized features and cognitive modeling, (2) intervene using intelligent synthetic characters and augmented realities with telepresence capabilities for therapists, and (3) provide intelligent tools to users to inform themselves about their condition. Nightingale monitors the user using non-invasive cameras and biosensors, web-based weather data and information about the user’s daily activities. Nightingale intervenes with constructive suggestions, a positive environment, or an alert that medical help is needed. Together, these solutions can better target the right treatments for the right patients at the right time.
SeeSaw - A semantic visual computational platform (SeeSaw)
Principal Investigator: Joanne S. Luciano
Description: SeeSaw is a semantic, visual, computational platform. The tool mines, sorts, visualizes, and put content into context, helping readers and authors see their community. It adds value to content that is already associated with a publication.
SEMMDD LogoSemantically Enabled Modeling of Major Depressive Disorder (SEMMDD)
Principal Investigator: Joanne S. Luciano
Description: In this project, we study the effects of how different antidepressant treatments, including non-pharmacological treatments, affect the underlying brain regions, clinical symptoms, and behaviors. We use mathematical modeling and computer simulation to combine clinical research with neuroscience research.

Project CO-PI

I-Choose LogoI-Choose: Building Information Sharing Networks to Support Consumer Choice Project (I-Choose)
Principal Investigator: Theresa Pardo
Co Investigator: Joanne S. Luciano
Description: The Building Information Sharing Networks to Support Consumer Choice Project (I-Choose Project) is a four-year research activity funded by the National Science Foundation. The research team consists of a network of researchers and practitioners from Canada, Mexico, and the United States. The project aims to develop a data interoperability framework to provide consumers with a wide range of certification information about how, where, and by whom products are manufactured and brought to market. The project focuses on development of interoperability among stakeholder communities for the single case of coffee grown in Mexico, and distributed and consumed in Canada and the United States. The lessons learned from this specific case will then be generalized across other product domains.
SemantAQUA LogoSemantic Water Quality Portal (SemantAQUA)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Joanne S. Luciano
Description: We present a semantic technology-based approach to emerging environmental information systems. We used our linked data approach in the Tetherless World Constellation Semantic Water Quality Portal (TWC-SWQP). Our integration scheme uses a core domain ontology and integrates water data from different authoritative sources along with multiple regulation ontologies to enable pollution detection and monitoring. An OWL-based reasoning scheme identifies pollution events relative to user chosen regulations. Our approach also captures and leverages provenance to improve transparency. In addition, semantic water quality portal features provenance-based facet generation, query answering and data validation over the integrated data via SPARQL. We introduce the approach and the water portal, and highlight some of its potential impacts for the future of environmental monitoring systems.

Project Collaborator

FUSE LogoForesight and Understanding from Scientific Exposition (FUSE)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Jim Hendler
Description: Technical emergence refers to the process whereby innovative ideas, capabilities, applications, and even entirely new fields of study arise, are tested, mature, and, if conditions are favorable, demonstrate feasibility and impact. IARPA’s Foresight and Understanding from Scientific Exposition (FUSE) Program is sponsoring advanced research and development (R&D) to develop automated systems that aid in the systematic, continuous, and comprehensive assessment of technical emergence using information derived from the published scientific, technical, and patent literature.
Health Data Challenge (HealthData)
Principal Investigator: Deborah L. McGuinness and Jim Hendler
Co Investigator: Kristine Gloria, Tim Lebo, and James McCusker
Description: An infrastructure for large-scale collaboration around aggregation, generation, and publication of health-related Linked Data.
TW LogoNeon Educational System for Data Access and Analysis (NESDAA)
Principal Investigator: Peter Fox and Dennis Ward
Description: To enable advanced undergraduate students and facilitator to have access to learning materials and associated artefacts like data, code, workflows [e.g. Taverna], scientific literature, and more.
SeSF Project LogoSemantic eScience Framework (SeSF)
Principal Investigator: Peter Fox
Co Investigator: Jim Hendler and Deborah L. McGuinness
Description: Over the past few years, semantic technologies have evolved and new tools are appearing. Part of the effort in this project will be to accommodate these advances in the new framework and lay out a sustainable software path for the (certain) technical advances. In addition to a generalization of the current data science interface, we will include an upper-level interface suitable for use by clearinghouses, and/or educational portals, digital libraries, and other disciplines.
Web Science Research Center (WSRC)
Principal Investigator: Deborah L. McGuinness
Co Investigator: John S. Erickson
Description: Web Science is the study of the World Wide Web and its impact on both society and technology, positioning the Web as an object of scientific study unto itself. Web Science recognizes the Web as a transformational, disruptive technology; its practitioners study the Web, its components, facets and characteristics. Ultimately, Web Science is about understanding the Web and anticipating how it might evolve in the future.

EMPWR: Computational Exploration of Molecules in the Context of Biological Pathway Networks
Joanne Luciano | Principal Investigator

Semantic Web for Health Care and Life Sciences
For two years prior to the creation of the W3C Health Care and Life Science SIG I worked behind the scenes to persuade the W3C to consider creating the SIG. I presented the work on BioPAX and contributed to the BioDASH demo and worked with John Wilbanks (then W3C Fellow, now at Science Commons) to create the first workshop meeting. I also made the case to several pharmaceutical companies through my consulting practice.

Translational Medicine Ontology
I am currently actively involved in the creation of an ontology for Translational Medicine.

Influena Ontology (InfluenzO) Infectious Disease Ontology
I am leading the coordination of and co-developing an extension to the Infectious Disease Ontology (IDO) for Influenza Research and Surveillance. The Influenza Ontology work in being undertaken at the MITRE Corporation (www.mitre.org) in collaboration with BioHealthBase and Gemina projects.

BIOPAX
Core Group Member involved in intimating the creation of a data exchange format for biological pathway databases. Procured partial support from the DOE and got it doubled in the second year. Represents BIOPAX at international conferences and workshops and coordinate development with the BioPathways Consortium and its constituents. (Since August 2002)

BioPathways Consortium
Co-organizer and Steering Committee. The mission of the BioPathways Consortium is to catalyze the emergence and development of computational pathways biology, by building up a strong and coherent scientific community, sharing knowledge, facilitating collaborations, and fostering the development of methods and tools of wide interest to the community.