FOA Title: 
Notice of Intent to Publish a Funding Opportunity Announcement for Predoctoral Training in Advanced Data Analytics for Behavioral and Social Sciences Research (BSSR) - Institutional Research Training Program [T32]
Grant Type: 
NOT-OD-18-174
Primary IC: 
OD
Release Date: 
Jun 04 2018
Expiration Date: 
N/A
AC Source: 
N/A
Purpose: 
Notice Intent Publish Funding Opportunity Announcement the Predoctoral Training Advanced Data Analytics Behavioral Social Sciences Research BSSR) Institutional Research Training Program T32] Notice Number: NOT-OD-18-174 Key Dates Release Date: 06/04/2018 Estimated Publication Date Funding Opportunity Announcement:10/16/2018 First Estimated Application Due Date: 05/25/2019 Earliest Estimated Award Date: 03/01/2020 Earliest Estimated Start Date: 04/01/2020 Related Announcements NOT-OD-18-193 Issued Office Behavioral Social Sciences Research OBSSR) National Institute Alcohol Abuse Alcoholism NIAAA) Eunice Kennedy Shriver National Institute Child Health Human Development NICHD) National Institute Drug Abuse NIDA) National Institute Mental Health NIMH) National Institute Nursing Research NINR) National Library Medicine NLM) Purpose National Institutes Health NIH) Office Behavioral Social Sciences Research OBSSR) participating NIH Institutes Centers ICs) intend issue Funding Opportunity Announcement FOA) solicit applications new behavioral social sciences research BSSR) predoctoral training programs focus innovative computational and/or data science analytic approaches their incorporation training the future BSSR health research workforce.   Notice being provided allow potential applicants sufficient time develop meaningful cross-disciplinary collaborations responsive training programs.   FOA utilize T32 activity code.   FOA expected be published October 2018 an anticipated application due date May 2019. Research Initiative Details Recent advances medical informatics, electronic health records, big data analytics, mobile wearable technologies, social media web generated data, geospatial data, administrative data, new methods link data laid groundwork a rich biomedical, behavioral, social research data environment. voluminous data environment resulting diverse data sources require complex analytical skills derive rigorous scientific knowledge. vision the Office Behavioral Social Sciences Research OBSSR) Advanced Data Analytics Behavioral Social Sciences Research BSSR) Training Program to support development a pilot program cohort specialized BSSR predoctoral candidates pursuing careers health-related research will possess advanced competencies data science analytics. Big data the behavioral social sciences tends come mixed sources e.g., social media, unstructured text, digital sensors wearables, administrative databases, high-density census population datasets geographic detail), are often generated dynamically over time not necessarily designed produce valid reliable data scientific analysis. Applying advanced analytic approaches these kinds data provides opportunities transform spatiotemporal analysis demographics, behaviors, social interactions, economics they relate health outcomes. Working disparate social data streams requires careful attention structuring, harmonizing extracting meaningful features the data, in turn, requires advanced computational data science statistical approaches. addition, BSSR data becoming increasingly interdisciplinary they combined merged biomedical, genetic, geospatial, administrative data. Successful collection rigorous analysis complex behavioral social science health data require solid scientific critical thinking skills, new cross-disciplinary collaborations, new research methods, new computational tools data science approaches such data mining, pattern recognition, machine learning, computational modeling, causal inference, a keen awareness the continuously emerging data methods, challenges, opportunities. funding opportunity announcement require applicants assemble interdisciplinary team scientific mentors design direct training programs. Applications must include mentors relevant behavioral social sciences research BSSR) disciplines such psychology, sociology, economics, well experts computational data science analysis approaches relevant disciplines such engineering, computer science, applied mathematics, statistics, physics departments. Programs should provide predoctoral level instruction practical experience advanced data analytics relevant research domains health best suited BSSR inquiry. foundational training these BSSR predoctoral programs should include coursework training experiences academia industry, multidisciplinary team approach, collaborative research opportunities, should ensure adequate mentorship computational methods an emphasis principles practices promote reproducibility results. is expected trainees acquire core knowledge three overarching relevant areas in: 1) computer science/informatics, 2) statistics/mathematics, 3) behavioral social sciences research a chosen health domain relevant the NIH institutes centers participating this program announcement. training should include aspects computer science/informatics statistics/mathematics are directly relevant behavioral social sciences research health. Funding Information Estimated Total Funding 2,000,000 Expected Number Awards 8 Estimated Award Ceiling 300,000 Primary CFDA Numbers TBD Anticipated Eligible Organizations Public/State Controlled Institution Higher Education Private Institution Higher Education Nonprofit 501(c)(3) IRS Status than Institution Higher Education) Nonprofit without 501(c)(3) IRS Status than Institution Higher Education) State Government Indian/Native American Tribal Government Federally Recognized) County governments City township governments Special district governments Indian/Native American Tribally Designated Organization Native American tribal organizations than Federally recognized tribal governments) U.S. Territory Possession Indian/Native American Tribal Government than Federally Recognized) Applications not being solicited this time. Inquiries Please direct inquiries to: Elizabeth Ginexi, Ph.D. National Institutes Health, Office Behavioral Social Sciences Research 301-594-4574 LGinexi@mail.nih.gov Regina Bures, Ph.D. National Institute Child Health Human Development NICHD) Telephone: 301-496-9485 Email: regina.bures@nih.gov     Michele Rankin, Ph.D. National Institute Drug Abuse NIDA) Telephone: 301-480-3832 Email: Michele.Rankin@nih.gov Lauren Hill, Ph.D. National Institute Mental Health NIMH) Telephone: 301-443-2638 Email: hillla@mail.nih.gov David Banks, Ph.D., MPH, MSSW, RN National Institute Nursing Research NINR) Telephone: 301-496-9558 Email: banksdh@mail.nih.gov Jane Ye, Ph.D. National Library Medicine NLM) Telephone: 301-594-4927 Email: yej@MAIL.NLM.NIH.GOV Dan Falk, Ph.D. National Institute Alcohol Abuse Alcoholism NIAAA) Telephone: 301-443-0788 Email: falkde@mail.nih.gov