Adaptive Services for Community-Driven Behavioral and Environmental Monitoring to Induce Change: CitiSense

CitiSense is a new kind of "citizen infrastructure" to monitor pollution and environmental conditions that users are exposed to in their daily lives in San Diego County. The system includes mobile phones and affordable, small sensors placed in the environment and carried by users, to collect data about pollutants such as ozone and carbon monoxide. The data is then used to provide real-time feedback to users and allow them to change their behavior for increased health and life quality. The data can also be shared with the back-end cyber infrastructure for further processing, modeling and learning, helping other stakeholders of the system better understand how diseases develop and to help coordinate efforts within a user's community to improve conditions. CitiSense differentiates from previous projects of this sort in that it includes the design of a complete system that addresses issues of mobile power management, data security, privacy, inference with commodity sensors, and integration into a highly extensible and adaptive infrastructure comprising of Open Rich Services. » Visit Website

Cyberinfrastructure for Comparative Effectiveness Research (CYCORE)

CYCORE is a research project to improve cancer therapies by developing better tools to measure their effectiveness in clinical trials. This GO award is for $4 million over 2 years and has partially funded 29 researchers. CYCORE’s mission is to build a hardware and software system that optimizes the range of data included in comparative effectiveness research in cancer. CYCORE will integrate health-behavior and environmental monitoring data with biological sensing and electronic medical records (EMRs), obtained during clinical trials. » Visit Website

Personal Activity and Location Measurement System (PALMS)

PALMS is a fully integrated measurement system that is capable of estimating Physical Activity Energy Expenditure (PAEE) by combining: activity data collected by accelerometers; heart rate collected by heart rate monitors; and location data collect by GPS data loggers. The system provides significant advantages over previously-available measurement approaches and contributes to understanding relationships between PAEE, the environment, and health-related factors at the individual and population level. PALMS is a Web-based application that supports data collection and analysis for multiple studies among multiple researchers across various disciplines. PALMS was designed to promote data sharing across the public, private and academic domains. The project was funded by the National Institutes of Health (NIH) under the Genes, Environment and Health Initiative (GEI), a collaboration between geneticists and environmental scientists. » Visit Website

Integrating Data for Analysis, Anonymization, and Sharing (iDASH)

Contemporary biomedical and behavioral research increasingly demands access to data-intensive computational resources. While U.S. investments in information technology assets have created a rich national fabric to accelerate research, the number of bioscience researchers without these tools is increasing. By integrating secure, de-identified data for analysis, anonymization, and sharing, iDASH is narrowing the gap by extending its open-source, community-serving resources more broadly to biomedical, clinical, and informatics communities at universities, medical schools, and hospitals nationwide. Created as a National Center for Biomedical Computing (NCBC) under the auspices of the NIH Roadmap for Bioinformatics and Computational Biology, iDASH is a Biomedical Cyberinfrastructure (BCI) that provides innovative services, algorithms, open-source software, and data storage as well as training. » Visit Website