Research and Training Funding

Funding Opportunity Announcements

Browse below for Data Science Funding Opportunity Announcements.

This page last reviewed on August 7, 2019

Feed last updated: August 19 2019 10:09 pm
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
Notice of Modification of Allowable Budgets for Data Deposition in PA-14-155 "Early Stage Development of Technologies in Biomedical Computing, In

NOT-GM-14-127

NIGMS

Jul 30 2014

N/A

Notice Modification Allowable Budgets Data Deposition PA-14-155 Early Stage Development Technologies Biomedical Computing, Informatics, Big Data Science R01)" Notice Number: NOT-GM-14-127 Key Dates Release Date: July 30, 2014 Related Announcements PA-14-155 Issued National Institute General Medical Sciences NIGMS) Purpose purpose this Notice to inform applicants PA-14-155 quot;Early Stage Development Technologies Biomedical Computing, Informatics, Big Data Science R01)" that, within budget allocation, are allowed request funds activities involved depositing data federated public repositories accordance applicable cost principles. there no such repositories available the applicant, requested budget include costs necessary make data publicly available. Applicants should request budget data management is consistent the scope scale the proposed project within direct cost limits included each FOA applicable. proposed budget allocation be evaluated during review well by program staff determine appropriateness suitability. Please note this Notice applies only data deposition-related activities. Inquiries Please direct inquiries to: David Balshaw, Ph.D. National Institute Environmental Health Sciences NIEHS) Telephone: 919-541-2448 Email: Balshaw@niehs.nih.gov Vivien Bonazzi, Ph.D. National Human Genome Research Institute NHGRI) Telephone: 301-451-8276 Email: bonazziv@mail.nih.gov Regina Bures, Ph.D. Eunice Kennedy Shriver National Institute Child Health Human Development NICHD) Telephone: 301-496-9485 Email: buresrm@mail.nih.gov John A. Matochik, Ph.D. National Institute Alcohol Abuse Alcoholism NIAAA) Telephone:  301-451-7319 Email:  jmatochi@mail.nih.gov Lyn Hardy, Ph.D., R.N. National Institute Nursing Research NINR) Telephone: 301-594-5976 Email: Lynda.Hardy@NIH.gov Gayle Lester, Ph.D. National Institute Arthritis Musculoskeletal Skin Diseases NIAMS) Telephone: 301-594-3511 Email: lester1@mail.nih.gov Yuan Liu, PhD National Institute Neurological Disorders Stroke NINDS) Telephone: 301-496-0012 Email: liuyuan@mail.nih.gov Peter Lyster, Ph.D. National Institute General Medical Sciences NIGMS) Telephone: 301.451.6446 Email: lysterp@mail.nih.gov Vinay Pai, Ph.D. National Institute Biomedical Imaging Bioengineering NIBIB) Telephone: 301-451-4781 Email: paiv@mail.nih.gov Joni L. Rutter, Ph.D. National Institute Drug Abuse NIDA) Telephone: 301-435.0298 Email: jrutter@mail.nih.gov Steven B. Scholnick, Ph.D. National Institute Dental Craniofacial Research NIDCR) Telephone: 301-594-3977 Email: scholnis@nidcr.nih.gov nbsp;

data science, big data, informatics
Notice of Modification of Allowable Budgets for Data Deposition in PA-14-154 "Early Stage Development of Technologies in Biomedical Computing, In

NOT-GM-14-123

NIGMS

Jul 30 2014

N/A

Notice Modification Allowable Budgets Data Deposition PA-14-154 Early Stage Development Technologies Biomedical Computing, Informatics, Big Data Science R43/R44)" Notice Number: NOT-GM-14-123 Key Dates Release Date: July 30, 2014 Related Announcements PA-14-154 Issued National Institute General Medical Sciences NIGMS) Purpose purpose this Notice to inform applicants PA-14-154 quot;Early Stage Development Technologies Biomedical Computing, Informatics, Big Data Science R43/R44)" that, within budget allocation, are allowed request funds activities involved depositing data federated public repositories accordance applicable cost principles. there no such repositories available the applicant, requested budget include costs necessary make data publicly available. Applicants should request budget data management is consistent the scope scale the proposed project within direct cost limits included each FOA applicable. proposed budget allocation be evaluated during review well by program staff determine appropriateness suitability. Please note this Notice applies only data deposition-related activities. Inquiries Please direct inquiries to: Vivien Bonazzi, Ph.D. National Human Genome Research Institute NHGRI) Telephone: 301-451-8276 Email: bonazziv@mail.nih.gov Regina Bures, Ph.D. Eunice Kennedy Shriver National Institute Child Health Human Development NICHD) Telephone: 301-496-9485 Email: buresrm@mail.nih.gov German Cavelier, Ph.D. National Institute Mental Health NIMH) Telephone: 301-443-3563 Email: gcavelier@mail.nih.gov Maria Giovanni, Ph.D. National Institute Allergy Infectious Diseases NIAID) Telephone: 301-496-1884 Email: MGiovanni@niaid.nih.gov John A. Matochik, Ph.D. National Institute Alcohol Abuse Alcoholism NIAAA) Telephone:  301-451-7319 Email:  jmatochi@mail.nih.gov Lyn Hardy, Ph.D., R.N. National Institute Nursing Research NINR) Telephone: 301-594-5976 Email: Lynda.Hardy@NIH.gov Gayle Lester, Ph.D. National Institute Arthritis Musculoskeletal Skin Diseases NIAMS) Telephone: 301-594-3511 Email: lester1@mail.nih.gov Yuan Liu, PhD National Institute Neurological Disorders Stroke NINDS) Telephone: 301-496-0012 Email: liuyuan@mail.nih.gov Peter Lyster, Ph.D. National Institute General Medical Sciences NIGMS) Telephone: 301-451-6446 Email: lysterp@mail.nih.gov Vinay Pai, Ph.D. National Institute Biomedical Imaging Bioengineering NIBIB) Telephone: 301-451-4781 Email: paiv@mail.nih.gov Joni L. Rutter, Ph.D. National Institute Drug Abuse NIDA) Telephone: 301-435-0298 Email: jrutter@mail.nih.gov Steven B. Scholnick, Ph.D. National Institute Dental Craniofacial Research NIDCR) Telephone: 301-594-3977 Email: scholnis@nidcr.nih.gov Daniel Shaughnessy, Ph.D. National Institute Environmental Health Sciences NIEHS) Telephone: 919-541-2506 Email: shaughn1@niehs.nih.gov Jane Ye, Ph.D. National Library Medicine NLM) Telephone: 301-594-4882 Email: yej@mail.nih.gov nbsp;

data science, big data, informatics
Notice of Joint DMS/NLM Initiative on Generalizable Data Science Methods for Biomedical Research.

NOT-LM-19-001

NLM

Oct 10 2018

N/A

Notice Joint DMS/NLM Initiative Generalizable Data Science Methods Biomedical Research. Notice Number: NOT-LM-19-001 Key Dates Release Date:October 10, 2018 Related Announcements None Issued National Library Medicine NLM) Purpose Significant advances technology coupled decreasing costs associated data collection storage resulted unprecedented access vast amounts health- disease-related data.  Biomedical data includes genomics data next-generation sequencing, data different imaging modalities, real-time static data wearable electronics, personal mobile devices, environmental sensors, observational health data, clinical data hospitals, insurance, electronic medical records including personal health records. The National Library Medicine NLM) the Division Mathematical Sciences the Directorate Mathematical Physical Sciences DMS) the National Science Foundation NSF) recognize need support research develop innovative transformative mathematical statistical approaches address important data-driven biomedical health challenges. The goal this interagency program the development generalizable frameworks combining first principles, science-driven models structural, spatial temporal behaviors innovative analytic, mathematical, computational, statistical approaches can portray fuller, nuanced picture a person's health the underlying processes. program designed foster inter- multi-disciplinary collaborations.  Collaborative efforts bring together researchers the biomedical/health the mathematical/statistical sciences communities a requirement this program must convincingly demonstrated the proposal. particular interest new collaborative efforts involving mathematicians, statisticians, biomedical scientists, clinicians aimed blending first principles, science-based models innovative data-driven machine learning approaches solve important biomedical problems.  While research be motivated a specific application dataset, development methods are generalizable broadly applicable preferred encouraged. of important application areas currently supported the National Library Medicine include following: Finding biomarkers support effective treatment through integration genetic Electronic Health Records EHR) data; Understanding epigenetic effects human health; Extracting analyzing information EHR data; Understanding interactions genotype phenotype humans linking human sensor data genomic data using dbGaP; Protecting confidentiality personal health information; Mining heterogeneous data sets e.g. clinical environmental). list not intended be exhaustive exclusive.  However, proposals should clearly discuss the intended new collaborations address biomedical challenge describe use publicly-available biomedical datasets validate proposed models methodology. NIH datasets related the research themes listed above include Clinicaltrials.gov ( https://clinicaltrials.gov/ ) Image data repository - Clinical Center ( https://www.nih.gov/news-events/news-releases/nih-clinical-center-releas... Model Organism Databases ( https://www.genome.gov/10001837/model-organism-databases/  ) RefSeq NCBI ( https://www.ncbi.nlm.nih.gov/refseq/ ) Human Connectome Project ( https://www.humanconnectome.org) Adolescent Brain Cognitive Development ABCD) Data Repository ( https://data-archive.nimh.nih.gov/abcd ) Applicants expected list specific datasets will used the proposed research demonstrate they access these datasets.  Data Management Plan should describe plans make data available researchers these data not the public domain. program designed promote development sophisticated mathematical, statistical, computational models methods address biomedical data science challenges, such    Modeling integration heterogeneous data different sources; Incorporation synthetic data address bias a data set; Development methods handle spatio-temporal dependencies missingness; Causal Inference Machine Learning; Model validation, uncertainty quantification, evaluation, reproducibility, metrics FAIR findable, accessible, interoperable reusable); Natural Language Processing approaches that address combinations structured/unstructured text. Application submission through National Science Foundation via solicitation NSF-19-500 ( https://www.nsf.gov/pubs/2019/nsf19500/nsf19500.htm?org=NSF).Specific information concerning application review process available ( https://www.nsf.gov/pubs/2019/nsf19500/nsf19500.htm?org=NSF). those applications are being considered potential funding NLM, PD s PI s be required submit ir application s an NIH-approved format. PD s PIs invited submit NIH receive further information submission procedures. applicant not allowed increase proposed total budget change scientific content the application the submission the NIH . results the first level scientific review be presented NLM Board Regents the second level review. NLM make final funding determinations issue Notices Awards successful applicants. NLM DMS anticipate making 8 10 awards totaling to 4 million, fiscal year 2019.  is expected each award be between 200,000 300,000 total costs) per year durations up 3 years. Inquiries Please direct inquiries to: Jane Ye, PhD National Library Medicine NLM) Telephone: 301-594-4882 Email: yej@mail.nih.gov

data science, computational, machine learning, natural language processing
Notice of Interest in High Priority Research in Bioethical, Legal, and Societal Implications of Biomedical Research

NOT-LM-17-001

NLM

Oct 25 2016

N/A

Notice Interest High Priority Research Bioethical, Legal, Societal Implications Biomedical Research Notice Number: NOT-LM-17-001 Key Dates Release Date: October 25, 2016   Related Announcements NOT-HL-16-471 Issued National Cancer Institute NCI) National Eye Institute NEI) National Human Genome Research Institute NHGRI) National Institute Aging NIA) National Institute Allergy Infectious Diseases NIAID) National Institute Alcohol Abuse Alcoholism NIAAA) National Institute Minority Health Health Disparities NIMHD) National Institute Arthritis Musculoskeletal Skin Diseases NIAMS) National Institute Biomedical Imaging Bioengineering NIBIB) National Institute Deafness Other Communication Disorders NIDCD) National Institute Dental Craniofacial Research NIDCR) National Institute Drug Abuse NIDA) National Institute Environmental Health Sciences NIEHS) National Institute Mental Health NIMH) National Institute Neurological Disorders Stroke NINDS) National Institute Nursing Research NINR) National Library Medicine NLM) National Center Complementary Integrative Health NCCIH) Purpose listed NIH ICs issuing Notice highlight interest empirical conceptual research addressing high priority bioethical, legal, societal challenges impacting biomedical research.  Areas high priority research include, are limited to, bioethical, legal societal implications the following: New emerging technology development use, such as: gene drive; precision gene editing; artificial intelligence; brain implants modulation; human-animal chimeras Clinical non-clinical data sharing; big data data science analytics; integration data research, including clinical, research, environment, social media, patient provided, other Precision personalized medicine; personal, institutional, research privacy security Learning Healthcare System; interface clinical research clinical care; pragmatic trials Crowdsourcing; participant driven, directed, sponsored clinical research; Citizen Science DIY biomedical research Special vulnerable population research, including pediatric, end-of-life-care, emergency, disaster, pandemic research; issues capacity impaired individuals populations Individual community health, treatment, and/or research disparities; international research Current emerging regulatory environments Informed consent issues Innovative study design, conduct, management, oversight Possible funding opportunities can used pursue research activities include: PA-16-160 NIH Research Project Grant Parent R01) PA-16-161 NIH Exploratory/Development Research Grant Program Parent R21) PA-16-162 NIH Small Research Grant Program Parent R03) PA-16-200 Academic Research Enhancement Award Parent R15) Investigators interested developing applications bioethics, legal, societal implications research strongly encouraged discuss ideas specific IC contacts listed below prior submission ICs varying levels interest high priority areas.  Potential applicants should also discuss specific IC contacts most appropriate mechanism their proposed project all ICs not utilize parent FOAs listed above hyperlinks each FOA above).  Applicants should clearly state the cover letter, Project Abstract, Specific Aims sections the grant application they responding this particular NOT.  cover letter should also indicate IC contact consulted prior submission.  Applications responding this should submitted the regular application due dates will reviewed NIH standing study sections. Inquiries Please direct inquiries to: Charlisse Caga-Anan, JD MA National Cancer Institute NCI) Telephone: 240 276-6738 Email: charlisse.caga-anan@nih.gov Sangeeta Bhargava, PhD National Eye Institute NEI) Telephone: 301-451-2020 Email: Sangeeta.Bhargava@nih.gov Jean McEwen, JD PhD National Human Genome Research Institute NHGRI) Telephone: 301 402-4997 Email: jm522n@nih.gov Chyren Hunter, PhD National Institute Aging NIA) Telephone: 301 496-9322 Email: hunterc@mail.nih.gov Liza Dawson, PhD National Institute Allergy Infectious Diseases NIAID) Telephone: 240 627-3210 Email: dawsonl@niaid.nih.gov Laura Moen, PhD National Institute Arthritis Musculoskeletal Skin Diseases NIAMS) Telephone: 301 451-6515 Email: moenl@mail.nih.gov Troy Zarcone, PhD National Institute Alcohol Abuse Alcoholism NIAAA) Telephone: 301-443-1285 Email: troy.zarcone@nih.gov Nancy Jones, PhD National Institute Minority Health Health Disparities NIMHD) Telephone: 301-594-8945 Email: nancy.jones@nih.gov Steven Krosnick, MD National Institute Biomedical Imaging Bioengineering NIBIB) Telephone:  301-594-3009 Email: krosnics@mail.nih.gov Lana Shekim, PhD National Institute Deafness Other Communication Disorders NIDCD) Telephone: 301 496-5061 Email: shekiml@nidcd.nih.gov Lynn Mertens King, PhD National Institute Dental Craniofacial Research NIDCR) Telephone: 301 594-5006 Email: lynn.king@nih.gov Ruben Baler, PhD National Institute Drug Abuse NIDA) Telephone: 301 480-2733 Email:  balerr@mail.nih.gov Symma Finn, PhD National Institute Environmental Health Sciences NIEHS) Telephone: 919 698-5574 Email: finns@niehs.nih.gov Matthew V. Rudorfer, M.D. National Institute Mental Health NIMH) Telephone: 301) 443-1111 Email: mrudorfe@mail.nih.gov Adam L Hartman, MD National Institute Neurological Disorders Stroke NINDS) Telephone: 301 496-9135 Email: adam.hartman@nih.gov Lynn Adams, PhD National Institute Nursing Research NINR) Telephone: 301 594-8911 Email: adamsls@mail.nih.gov Valerie Florance, PhD National Library Medicine NLM) Telephone: 301 496-4621 Email: florancev@mail.nlm.nih.gov Wendy Weber, ND PhD MPH National Center Complementary Integrative Health NCCIH) Telephone: 301-402-1272 Email: weberwj@mail.nih.gov  

data science, big data, artificial intelligence
Notice of Intent to Publish: Stimulating Access to Research in Residency Transition Scholar (StARRTS) (K38)

NOT-HL-17-533

NHLBI

Aug 23 2017

N/A

Notice Intent Publish: Stimulating Access Research Residency Transition Scholar StARRTS) K38) Notice Number: NOT-HL-17-533 Key Dates Release Date:   August 23, 2017 Estimated Publication Date Announcement: June 2019  First Estimated Application Due Date: October 2019   Earliest Estimated Award Date: 2020  Earliest Estimated Start Date: July 2020  Related Announcements RFA-HL-18-023 Issued National Heart, Lung, Blood Institute NHLBI) National Cancer Institute NCI) National Institute Allergy Infectious Diseases NIAID) Purpose National Heart, Lung, Blood Institute NHLBI), National Cancer Institute NCI), National Institute Allergy Infectious Diseases NIAID), intend promote new initiative publishing Funding Opportunity Announcement FOA) solicit applications research career development awards: Stimulating Access Research Residency Transition Scholar StARRTS) K38) residents have participated a new NIH Institutional Research Residency program R38) described RFA-HL-18-023 ). Notice being provided conjunction the FOA the Research Residency program: Stimulating Access Research Residency StARR) R38) RFA-HL-18-023). Notice provides potential applicants the R38 program information the K38 award is intended provide support continued research career development residents meet milestones within R38 program. NOITP allows potential applicants sufficient time develop competitive responsive projects. limited competition FOA expected be published June 14, 2019 an anticipated yearly application due date beginning October 14, 2019. FOA utilize K38 activity code. Details the planned FOA provided below. Research Initiative Details Stimulating Access Research Residency StARR) R38)" RFA-HL-18-023): purpose this institutional program to recruit retain outstanding, postdoctoral-level health professionals have demonstrated potential interest pursuing careers clinician-investigators. program provide mentored research opportunities Resident-Investigators preparation transition individual research career development support. program provide support up 2 years research Resident-Investigators structured programs clinician investigators defined program milestones. Stimulating Access Research Residency Transition Scholar StARRTS) K38) FOA result this NOITP): purpose this limited competition K38 program to support individual Transition Scholars have matriculated through R38 StARR) program mentored research opportunities experienced investigators at least one, up two years, during subspecialty clinical training period typically referred as quot;fellowship"). Transition Scholars health professionals medical, dental veterinary doctoral degrees i.e., MD, DVM, DDS, DO, MBBS equivalent) or without additional PhD degrees, promise interest careers clinician-investigators. conjunction the NIH-sponsored StARR R38) program, StARRTS K38) program designed provide foundation Transition Scholars strong interest promise towards careers clinician-investigators. Transition Scholar propose his her research performed the same, different department/institutions, the preceding institutional research residency program R38). Investigators this career stage the unique responsibility complete both clinical duties research activities; this reason, proposed research activities must fall within overall program consistent medical board, dental veterinary specialty eligibility. research projects limited those fall within participating NIH Institute/Center mission. NIH encourages institutions recruit retain individuals groups currently underrepresented the biomedical sciences, to enhance diversity the clinician-investigator workforce NOT-OD-15-053). Background is critical workforce need physician scientists/clinician-investigators, i.e. those clinical experience conduct research offer skills perspectives directly related human health, disease conditions, clinical decision-making, diagnoses, prevention, improving health outcomes.  Despite outstanding existing opportunities, relatively few physicians other health professionals pursuing research careers, current opportunities not maintain adequate numbers diversity physician scientists ACD Physician Scientist Workforce Report, 2014). overall size the current clinician-investigator workforce constitutes only small proportion all NIH-funded research investigators, this particularly true early-stage clinician investigators. New approaches needed recruit, prepare retain clinician-investigators the large pool potential researchers health professional doctorates.  Among today’s NIH-funded clinician-investigators, 60% hold single health professional degree 40% hold both health professional research doctorate degrees.  Women individuals underrepresented racial ethnic groups represent particularly low proportion this workforce. year the United States, 18,000 individuals earn MD, while 600 individuals earn MD/PhDs; data suggest recruitment even slightly greater proportion MDs, retention more MDs MD/PhDs research careers significantly enhance clinician investigator workforce. New approaches also needed enhance research opportunities during advanced clinical training periods; example, typical graduate medical education (“residency”) period offers limited opportunities acquire research skills experience needed a career a clinician-investigator. enhance research experience, several medical board-approved graduate medical residency programs developed are variously described lsquo;fast track,’ lsquo;short track,’ lsquo;accelerated,’ lsquo;research pathway’ approaches their specialties. programs balance protected time research clinical requirements, medical boards approve either institutional programs individual plans board eligibility. Available outcomes indicate the clinical competency pathway graduates comparable those participating standard residency programs. research pathway graduates subsequently hold positions academic medicine, report research activity, contribute substantial professional effort research clinician-investigators. health professionals recognize critical need develop new understanding therapeutic modalities diseases, research residency provide valuable experience an early ldquo;on-ramp” a research career. is also recognized many MDs/health professionals well MD/PhDs had previous research experience, research during residency training provides opportunity build upon prior research experiences. Additional research career development during subspecialty clinical training typically called quot;fellowship") offers Transition Scholars essential experience experimental approaches additional research experience needed enhance retention research competitiveness subsequent individual research career development awards research project grants. award designed enhance research career pathway previous participants institutional research residency programs individual research career support. Health professionals successfully completed quot;Stimulating Access Research Residency StARR) Program RFA-HL-18-023) encouraged apply. NIH expects Transition Scholars subsequently continue research activity, may supported Institutional Individual Mentored Career Development Awards eg K12, KL2 K08, K23,) research project grant awards, depending research background experience. Program Components Transition Scholar awards further research career development: to years mentored research career development support the same new research preceptor, department institution that the research residency program. additional career sponsor can advance Scholar’s access resources career advancement through professional societies. is intended broaden Scholar's professional networks. Career development plan the goal preparing K38 awardee submit application subsequent research career development support and/or independent research award the end Transition Scholar participation period. Support present research findings attend scientific conferences an NIH-sponsored workshop. Awards include supplementary research funds cover cost research supplies professional development activities will contribute the successful completion research: Registration fees short duration courses workshops provide research skills data science, implementation science clinical trials, appropriate the project Funds technical support, including biostatistics consultation and/or research technicians' time complete research. Fees workshops oral written communication research grant writing related the research project. Funds develop skills needed effective research supervision mentoring clinician-investigators; mentoring skills should include topics such aligning goals expectations, effective communication, time management, mentoring a diverse inclusive workforce, understanding research funds flow an academic health center, building successful research team, job negotiation, identifying grant opportunities, navigating IRB and/or animal protocol, appropriate the research project.  Transition Scholar Compensation: total salary requested must based a full-time appointment, be consistent the postgraduate year PGY) salary structure the institution. During research year, Transition Scholars be paid 80% their base PGY salary level set the institution. Transition Scholar salary be calculated the months full-time research engagement over year. Transition Scholar Supplementary Research Funds: to 20,000 per research year, per Transition Scholar, be requested research supplies must justified consistent the stage development the participant the proportion time be spent research and/or career development activities. Research supplies be used defray costs registration short-term courses workshops obtain research skills, support research-related supervisory mentor skill development clinician-investigators, where well-justified, technical support contribute the scholar’s research continuity. Funds NOT used tuition courses leading a degree, materials leading clinical qualifications, equipment. Transition Scholar Travel. to 2,000 year be requested each Transition Scholar attend present research findings domestic scientific conferences to provide opportunities identify meet a national sponsor. Requests travel scientific meetings workshops must carefully justified, specificity. additional 1,000 per year should requested each Transition Scholar support attendance the NIH annual workshop Expenses foreign travel must exceptionally well justified. Salary mentors, secretarial administrative assistants, etc. not allowed. Eligible Individuals Program Director/Principal Investigator) Transition Scholar Program Director/Principal Investigator PD/PI). Health professionals successfully completed quot;Stimulating Access Research Residency StARR) Program RFA-HL-18-023) encouraged apply. PD/PI invited work his/her mentor organization develop application support. Individuals underrepresented racial ethnic groups well individuals disabilities always encouraged apply NIH support. Multiple PDs/PIs not allowed. Transition Scholar award occur same a new institution that the research residency. Transition Scholar institution must submit materials behalf the candidate. Candidates the Transition Scholar award must a clinical doctoral degree, or without additional research doctorate. Such degrees include, are limited to, MD, DO, MBBS, DDS, DMD, OD, ND, DVM. the time award, individual must a citizen a non-citizen national the United States have lawfully admitted permanent residence i.e., possess currently valid Permanent Resident Card USCIS Form I-551, other legal verification such status). Level Effort While structure clinical fellowship training vary among subspecialties, most begin a year clinical duties followed one two years research activity, this award designed support research career development during research phase the fellowship. During research year, transition scholars expected commit least 80% professional effort e.g. 9.6 person-months per year) their research career development. Transition Scholar awardees engage other duties research, training, clinical teaching activities) part the remaining effort covered the award, long such duties not interfere or detract the proposed research career development activities. Candidates have VA appointments not consider part the VA effort toward satisfying full-time requirement the applicant institution. Candidates VA appointments should contact staff person the relevant Institute prior preparing application discuss eligibility. Under certain circumstances, awardee submit written request the awarding component requesting reduction minimum required percent effort, will considered a case-by-case basis. Details this policy provided NOT-OD-09-036. Program Director Nomination director the R38 program the primary mentor resident must submit letter nomination confirm the Transition Scholar fulfilled requirements a Resident-Investigator the R38 StARR) program. Mentor, Co-Mentor, Career Sponsor Before submitting application, candidate must identify mentor will supervise proposed career development research experience. Mentor(s) should both research expertise a successful track record mentoring clinician-investigators. Where possible, varied clinician-investigator role models different professional research degree backgrounds, well those backgrounds underrepresented biomedical science should opportunities serve mentors and/or meet both mentors scholars discuss effective research career strategies. mentor should an active investigator the area the proposed research be committed both the career development the candidate to direct supervision the candidate’s research. mentor must document availability sufficient research support facilities high-quality research. Candidates encouraged identify than mentor, i.e., mentoring team advisory committee), this deemed advantageous providing expert advice all aspects the academic research career development program. such cases, individual must identified the primary mentor will coordinate candidate’s research. candidate must work the mentor(s) preparing application. mentor, a member the mentoring team, should a successful track record mentoring individuals the candidate’s career stage. addition, applicants must identify career sponsor will help broaden candidate's professional networks providing career guidance, advising research directions potential funding research opportunities, promoting applicant national presentations, provide clinician investigator career role model.  career sponsor be affiliated the fellowship institution another institution is expected be involved one more professional societies important the Transition Scholar's career a clinician investigator e.g. Society Black Surgeons, American Hematological Society, Association Women Radiologists, American Society Clinical Investigation). Institutional Environment applicant institution must a strong, well-established record research career development activities faculty qualified serve mentors clinician investigators. APPLICATIONS NOT BEING SOLICITED THIS TIME. Inquiries Please direct inquiries to: Neil Raj Aggarwal, MD National Heart Lung Blood Institute NHLBI) Telephone: 301-827-7820 Email: neil.aggarwal@nih.gov Mark Damico, Ph.D. National Cancer Institute NCI) Telephone: 240-276-5630 Email: Mark.damico@nih.gov Shawn Gaillard, Ph.D. National Institute Allergy Infectious Diseases NIAID) Telephone: 240-627-3857 Email: Shawn.gaillard@nih.gov

data science
Notice of Intent to Publish a Funding Opportunity Announcement for The National Drug Abuse Treatment Clinical Trials Network (UG1) Clinical Trial Opti

NOT-DA-18-024

NIDA

Jul 11 2018

N/A

Notice Intent Publish Funding Opportunity Announcement The National Drug Abuse Treatment Clinical Trials Network UG1) Clinical Trial Optional Notice Number: NOT-DA-18-024 Key Dates Release Date: July 11, 2018 Estimated Publication Date Funding Opportunity Announcement: July 28, 2018 First Estimated Application Due Date: November 01, 2018 Earliest Estimated Award Date: June 01, 2019 Earliest Estimated Start Date: July 01, 2019 Related Announcements NOT-OD-18-181 Issued National Institute Drug Abuse NIDA) Purpose National Institute Drug Abuse NIDA) intends publish Funding Opportunity Announcement FOA) solicit applications clinical investigators participate the National Drug Abuse Treatment Clinical Trials Network CTN). The ongoing opioid epidemic overdose death crisis present urgent public health need quickly expand CTN 1) increase Network’s scientific clinical research capabilities, 2) better cover geographic regions across United States regions most impacted the opioid overdose epidemic. CTN expansion part the NIH Helping End Addiction Long-Term HEAL) Initiative. purpose this notice to allow potential applicants sufficient time develop meaningful collaborations projects.  FOA expected be published August 2018 an expected application due date November 2018. FOA utilize UG1 activity code. Research Initiative Details CTN currently comprised 13 research Nodes serve research training centers, numerous collaborating healthcare organizations clinical research sites, two coordinating centers. CTN program administered within NIDA through Center the Clinical Trials Network CCTN). The ongoing opioid epidemic overdose death crisis present critical public health need expeditiously augment CTN research portfolio enhance treatment options improve quality opioid disorder OUD) treatment. NIDA decided expand CTN infrastructure research portfolio address enhance every stage the cascade care OUD. includes screening diagnosis OUD among those affected; linkage care among those diagnosed OUD; opioid agonist, partial agonist, antagonist medication initiation among those entering care; retention at least six months among those initiate medication; relapse prevention remission among those retained care. Research prevention early intervention unhealthy opioid use/misuse also high priority. Research prevention reversal opioid overdose the community emergency departments another priority. expansion enhance CTN’s ability use cutting-edge research designs, methods, data resources. example, addition Nodes expertise clinical data science informatics bolster CTN’s capacity conduct pragmatic studies embedded clinical practice will inform care. Additional Nodes located geographic regions severely affected the opioid epidemic allow greater reach impact research across country. mentioned in NOT-OD-18-181, any for-profit recipient funds shall subject a matching requirement funds documented in-kind contributions not less 50 percent the total funds awarded such entity. funding opportunity being offered part the NIH’s Helping End Addiction Long-term HEAL) initiative speed scientific solutions the national opioid public health crisis. NIH HEAL Initiative bolster research across NIH 1) improve treatment opioid misuse addiction 2) enhance pain management. information the HEAL Initiative available at: https://www.nih.gov/research-training/medical-research-initiatives/heal-.... Funding Information Estimated Total Funding TBD Expected Number Awards TBD Estimated Award Ceiling TBD 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) Small Business For-Profit Organization than Small Business) State Government Indian/Native American Tribal Government Federally Recognized) County governments City township governments Indian/Native American Tribally Designated Organization Native American tribal organizations than Federally recognized tribal governments) Indian/Native American Tribal Government than Federally Recognized) Regional Organization Applications not being solicited this time. Inquiries Please direct inquiries to: Betty Tai, Ph.D. NIDA Center Clinical Trials Network CCTN) 301-443-2397 btai@nida.nih.gov

data science, informatics
Notice of Intent to Publish a Funding Opportunity Announcement for Revisions to Add Biomedical Big Data Training to Ongoing Institutional Training Gra

NOT-HG-14-023

NHGRI

Feb 07 2014

N/A

Notice Intent Publish Funding Opportunity Announcement Revisions Add Biomedical Big Data Training Ongoing Institutional Training Grants T15) Notice Number: NOT-HG-14-023 Update: following update relating this announcement been issued: April 22, 2014 - Issuance RFA-HG-14-004, RFA-HG-14-005, RFA-HG-14-006. Key Dates Release Date: February 7, 2014   Estimated Publication Date Announcement: Spring 2014  First Estimated Application Due Date: Summer 2014  Earliest Estimated Award Date: Spring 2015  Earliest Estimated Start Date: Spring 2015 Related Announcements NOT-HG-14-011 NOT-HG-14-022 Issued National Institutes Health NIH) National Human Genome Research Institute NHGRI) Purpose NIH announcing intent publish Funding Opportunity Announcement FOA) allow revisions competitive supplements) add Big Data Science track ongoing T15 institutional training grants the purpose training next generation scientists will develop computational quantitative approaches tools needed the biomedical research community work biomedical Big Data. aim this initiative to train cadre scientists have knowledge skill sets scientific disciplines relevant Big Data Science the biomedical sciences.  this context, term Big Data" used the broadest sense include biological, biomedical, behavioral, social, environmental, clinical studies relate understanding health disease. predoctoral training initiative different most currently funded NIH training programs that will: 1) require trainees become proficient the intersection three scientific areas – computer science/informatics, statistics/mathematics, biomedical science;  2) expect active participation training faculty all these three scientific disciplines will work collaboratively across disciplines co-mentors trainees Big Data Science; 3) develop skills required participate a team approach solving data-intensive biomedical problems, while also nurturing skills necessary be independent investigator Big Data science. Notice being provided allow potential applicants sufficient time develop meaningful collaborations responsive projects. FOA expected be published the spring 2014 an expected application due date the summer 2014. FOA utilize T15 activity code. Details the planned FOA provided below. Research Initiative Details Background BD2K training program initiative being developed response information three sources. First, report the Data Informatics Working Group DIWG) the Advisory Committee the NIH Director recommended NIH Build Capacity Training Work Force the Relevant Quantitative Sciences such Bioinformatics, Biomathematics, Biostatistics, Clinical Informatics” Report). Second, Request Information NOT-HG-13-003; Report) issued the NIH solicit input the extramural community what types knowledge skills needed individuals effectively manage utilize Big Data. Third, workshop Report) held NIH addressed knowledge, skills, resources needed organize, process, manage, analyze, visualize large, complex data sets. Description the BD2K Training Institutional training grants a key component a broader BD2K effort train leaders have skills depth knowledge develop new quantitative approaches tools maximize value the growing amount complexity biomedical Big Data. is becoming increasingly clear there many new opportunities presented the availability multidimensional data including, not limited to, imaging, phenotypic, molecular including omics), clinical, behavioral, environmental, multiple small data sets. the same time, are enormous challenges computing across integrating data to extracting useful biological knowledge them. purpose the BD2K training program to produce graduates will the required multidisciplinary skill sets become leaders the effort develop new quantitative approaches tools needed the biomedical research community harness opportunities Big Data provides. is essential a revision an ongoing training program significantly expand scope a currently funded training program. is expected the revision support separate training track encompasses requisite Big Data elements, whether is built de novo drawn existing elements. Because Big Data science interdisciplinary nature, is expected trainees acquire during training experience competency all three relevant areas – computer science/informatics, statistics/mathematics, biomedical science – expertise aspects data science are essential biomedical science. training should include those aspects computer science/informatics statistics/mathematics are directly relevant the biomedical sciences.  Primary Organizational Focus the Training Grant Program Since focus the training in area developing new approaches tools manipulating, analyzing, interpreting Big Data, Program Directors/Principal Investigators PDs/PIs) this type training program collectively encompass expertise all three major scientific areas, including demonstrated research leadership computer science/informatics, statistics/mathematics, biomedical science. Participating training faculty should include investigators develop new technologies practical tools, generate utilize Big Data, who a variety biomedical expertise, clinical basic sciences, with multiple disease specialties. Applications training programs focus exclusively one two the BD2K relevant scientific areas on just few diseases not considered responsive. PD(s)/PI(s) must ensure the appropriate faculty work collaboratively in sustained manner across scientific disciplines organizational lines jointly mentor trainees. NIH strongly encourages institutions currently multiple NIH training grants consider using revisions draw and take advantage existing training activities through collaborative approaches expand beyond their current training programs offer create unique, effective Big Data training opportunity.  Review criteria include evaluation the strength the leadership develop collaborations across departments the usage innovative approaches build existing programs. Additional Information Relevant Applying a Revision Since is expected trainees be appointed a minimum two years, training grant which revision be should a minimum three years remaining the time award. NIH planning publish FOAs new T32s reference--NOT-HG-14-011) revisions T32 institutional training grants reference-NOT-HG-14-022). institutions T32 T15 institutional training grants supported the NIH. Given limited amount funds these combined initiatives, institutions encouraged consider combining expertise Big Data within institution submitting only application, whether for: a) new T32 institutional training grant b) revision a T32 T15 institutional training grant. Applications not being solicited this time. Inquiries Please direct inquiries to: Michelle Dunn, Ph.D. National Cancer Institute NCI) Telephone: 240-276-6881 Email: bd2k_training@mail.nih.gov   Website: http://bd2k.nih.gov/ Valerie Florance, Ph.D. National Library Medicine NLM) Telephone:  301-496-4621 Email: bd2k_training@mail.nih.gov  Website: http://bd2k.nih.gov/  

data science, big data, computational, informatics, bioinformatics, statistics
Notice of Intent to Publish a Funding Opportunity Announcement for Rare Disease Cohorts in Heart, Lung, Blood and Sleep Disorders (UG3/UH3)

NOT-HL-18-624

NHLBI

Apr 26 2018

N/A

Notice Intent Publish Funding Opportunity Announcement Rare Disease Cohorts Heart, Lung, Blood Sleep Disorders UG3/UH3) Notice Number: NOT-HL-18-624 Key Dates Release Date: April 26, 2018 Estimated Publication Date Funding Opportunity Announcement: 12/01/2018 First Estimated Application Due Date : 02/01/2019 Earliest Estimated Award Date:10/31/2019 Earliest Estimated Start Date: 12/31/2019 Related Announcements NOT-HL-18-620 Rescinded Issued National Heart, Lung, Blood Institute NHLBI) Purpose Notice updates supercedes replaces previous Notice Intent Publish NOT-HL-18-620. Notice provides clarification intended funding information. National Heart, Lung Blood Institute intends promote new initiative establish cohorts rare heart, lung, blood, and/or sleep HLBS) diseases enables multidisciplinary teams conduct natural history mechanistic studies provide evidence base future clinical trials improved diagnostics.  studies help advance fundamental insights key molecular, genomic, clinical, environmental behavioral determinants rare HLBS diseases their outcomes leading diagnostic therapeutic strategies.   NHLBI interested applications will address questions relevant the NHLBI mission, address gaps the NHLBI?s portfolio rare disease cohorts that align the Institute ' s Strategic Vision https://www.nhlbi.nih.gov/about/documents/strategic-vision ). NHLBI intends to utilize UG3/UH3 activity code, bi-phasic, milestone-driven cooperative agreement. Details the planned FOA provided below. Notice being provided allow potential applicants sufficient time develop responsive proposals.  FOA expected be published October 2018 anticipated application receipt dates February 2019 February 2020. Notice rescinds replaces NOT-HL-18-620. Research Initiative Details planned initiative provide opportunities efficiently advance rare disease research using genetics deep phenotyping characterize disease to identify disease sub-types; use data science methods integrate clinical patient-reported outcomes PROs) laboratory, imaging omics data understand natural history disease;  generate data differentiate patients the same morphological phenotype different genetic mutations  severity outcomes; elucidate genotype-phenotype interactions multisystem phenotyping develop reliable valid predictive tools determine will respond which treatments when intervene; to encourage innovative methods such telemedicine reach subjects rare diseases located remote locations without access a major academic medical center. goal this initiative to encourage creative innovative research; such, applications should propose studies investigating hypotheses research questions currently addressed cohorts funding the NHLBI. RFA invite applications propose cohorts are created de novo  or re-establish study populations enrolling patients previously-funded cohorts, clinical trials registries. Although funding information yet be determined, a guidance NHLBI estimates the typical total funding per year the research described herein be to $1.5 million. 1.5 million per year an estimate a typical rare disease cohort a typical number candidate research subjects. However, for rare diseases are common from larger cohorts be assembled, expectation that budget submitted be appropriate the size the cohort would well justified the submission. Funding Information Estimated Total Funding TBD Expected Number Awards TBD Estimated Award Ceiling TBD Primary CFDA Numbers 93.837, 93.838, 93.839, 93.840, 93.233 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) Small Business For-Profit Organization than Small Business) 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) Indian/Native American Tribal Government than Federally Recognized) Regional Organization Applications not being solicited this time. Inquiries Please direct inquiries to: Ellen M. Werner, PhD, MA   National Heart, Lung, Blood Institute  301-435-0065  wernere@nhlbi.nih.gov  

data science
Notice of Intent to Publish a Funding Opportunity Announcement for Predoctoral Training in Biomedical Big Data Science (T32)

NOT-HG-14-011

NHGRI

Feb 07 2014

N/A

Notice Intent Publish Funding Opportunity Announcement Predoctoral Training Biomedical Big Data Science T32) Notice Number: NOT-HG-14-011 Update: following update relating this announcement been issued: April 22, 2014 - Issuance RFA-HG-14-004, RFA-HG-14-005, RFA-HG-14-006. Key Dates Release Date: February 7, 2014 Estimated Publication Date Announcement: Spring 2014  First Estimated Application Due Date: Summer 2014  Earliest Estimated Award Date: Spring 2015  Earliest Estimated Start Date: Spring 2015  Related Announcements NOT-HG-14-022 NOT-HG-14-023 Issued National Institutes Health NIH) National Human Genome Research Institute NHGRI) Purpose NIH announcing intent publish Funding Opportunity Announcement FOA) graduate training programs Big Data science, train next generation scientists will develop computational quantitative approaches tools needed the biomedical research community work biomedical Big Data. aim this initiative to train cadre scientists have knowledge skill sets scientific disciplines relevant Big Data Science the biomedical sciences.  this context, term Big Data" used the broadest sense include biological, biomedical, behavioral, social, environmental, clinical studies relate understanding health disease. predoctoral training initiative different most currently funded NIH training programs that will: 1) require trainees become proficient the intersection three scientific areas – computer science/informatics, statistics/mathematics, biomedical science;  2) expect active participation training faculty all these three scientific disciplines will work collaboratively across disciplines co-mentors trainees Big Data Science; 3) develop skills required participate a team approach solving data-intensive biomedical problems, while also nurturing skills necessary be independent investigator Big Data science. Notice being provided allow potential applicants sufficient time develop meaningful collaborations responsive projects.  FOA expected be published the spring 2014 an expected application due date the summer 2014. FOA utilize T32 activity code. Details the planned FOA provided below. Research Initiative Details Background BD2K training program initiative being developed response information three sources. First, report the Data Informatics Working Group DIWG) the Advisory Committee the NIH Director recommended NIH Build Capacity Training Work Force the Relevant Quantitative Sciences such Bioinformatics, Biomathematics, Biostatistics, Clinical Informatics” Report). Second, Request Information NOT-HG-13-003; Report) issued the NIH solicit input the extramural community what types knowledge skills needed individuals effectively manage utilize Big Data. Third, workshop Report) held NIH addressed knowledge, skills, resources needed organize, process, manage, analyze, visualize large, complex data sets. Description the BD2K Training Program Institutional training grants a key component a broader BD2K effort train leaders have skills depth knowledge develop new quantitative approaches tools maximize value the growing amount complexity biomedical Big Data. is becoming increasingly clear there many new opportunities presented the availability multidimensional data including, not limited to, imaging, phenotypic, molecular including omics), clinical, behavioral, environmental, multiple small data sets. the same time, are enormous challenges computing across integrating data to extracting useful biological knowledge them.  purpose the BD2K training program to produce graduates will the required multidisciplinary skill sets become leaders the effort develop new quantitative approaches tools needed the biomedical research community harness opportunities Big Data provides. Because Big Data science interdisciplinary nature, is expected trainees acquire during training experience competency all three relevant areas computer science/informatics,   statistics/mathematics, biomedical science – expertise aspects data science are essential biomedical science. training should include those aspects computer science/informatics statistics/mathematics are directly relevant the biomedical sciences. Primary Organizational Focus the Training Grant Program Only application per institution, identified a unique DUNS number, be accepted. Multiple PDs/PIs encouraged. Since focus the training in area developing new approaches tools manipulating, analyzing, interpreting Big Data, PDs/PIs this type training program collectively encompass expertise all three major scientific areas, including demonstrated research leadership computer science/informatics, statistics/mathematics, biomedical science. Participating training faculty should include investigators develop new technologies practical tools, generate utilize Big Data, who a variety biomedical expertise, clinical basic sciences, with multiple disease specialties.  Applications training programs focus exclusively one two the BD2K relevant scientific areas on just few diseases not considered responsive. primary PD(s)/PI(s) must ensure the appropriate faculty work collaboratively in sustained manner across scientific disciplines organizational lines jointly mentor trainees. NIH strongly encourages institutions expertise the three areas discussed above have previously received training grants NIH apply. NIH also encourages institutions currently multiple NIH training grants who wish to apply a BD2K training grant consider drawing and taking advantage existing training activities, through collaborative approaches expand beyond their current training programs offer create unique, effective Big Data training program. Review criteria include evaluation the strength the leadership develop collaborations across departments the usage innovative approaches build existing programs. NIH planning publish FOAs revisions T32 NOT-HG-14-022) T15 institutional training grants reference NOT-HG-14-023). institutions T32 T15 institutional training grants supported the NIH. Given limited amount funds these combined initiatives, institutions encouraged consider combining expertise Big Data within institution submitting only application, whether for: a) new T32 institutional training grant b) revision a T32 T15 institutional training grant. Applications not being solicited this time. Inquiries Please direct inquiries to: Michelle Dunn, Ph.D. National Cancer Institute NCI) Telephone: 240-276-6881 Email: bd2k_training@mail.nih.gov   Website: http://bd2k.nih.gov/    

data science, big data, computational, informatics, bioinformatics, statistics
Notice of Intent to Publish a Funding Opportunity Announcement for Predoctoral Training in Advanced Data Analytics for Behavioral and Social Sciences

NOT-OD-18-174

OD

Jun 04 2018

N/A

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

data science, big data, computational, informatics, machine learning, statistics

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