FOA Title: 
Request for Information (RFI): Strengthening the Early Stages of the NIDA Training Pipeline through Massively Open Online Courses on the Biomedical Informatics of Addiction Research
Grant Type: 
NOT-DA-16-027
Primary IC: 
NIDA
Release Date: 
Apr 12 2016
Expiration Date: 
N/A
AC Source: 
N/A
Purpose: 
Request Information RFI): Strengthening Early Stages the NIDA Training Pipeline through Massively Open Online Courses the Biomedical Informatics Addiction Research Notice Number: NOT-DA-16-027 Key Dates Release Date:    April 12, 2016 Response Date: July 3, 2016 Related Announcements None     Issued National Institute Drug Abuse NIDA) Purpose Training next generation addiction researchers a critical priority the National Institute Drug Abuse NIDA).  need expertise biomedical informatics, statistics Big Data science increasing across of biomedical research, including addiction.  NIDA seeks create massive open online course MOOC) providing teaching materials begin training the next generation quantitative addiction researchers.  purpose this Request Information RFI) to seek broad public input the design the course, the best methods implementation. Background mission NIDA to lead nation bringing power science bear drug abuse addiction. Part fulfilling mission includes creating pipeline training opportunities ensure research workforce adequately skilled. need increased education statistics, informatics data science grown the development new technologies neuroscience biomedical research. MOOCs able reach audiences the thousands. are available online websites such Coursera EDx, offering huge advantage over local courses requiring travel.  are already MOOCs available focusing informatics neuroscience data analysis. However, are MOOCs biomedical informatics directly related addiction research.  specifically, NIDA interested strengthening training pipeline produce influx researchers trained these techniques providing MOOC-distributed training materials students and/or teachers. Information Requested RFI intended gather broad public input the biomedical informatics, statistics Big Data lecture topics deemed valuable training next generation addiction researchers the most appropriate methods distribute those topics.  Advice sought includes is limited the following items ranked priority NIDA, please provide feedback as as possible: Ideas the target audience:  NIDA considered advanced high school students have sophistication integrate materials related addiction research biomedical informatics.  example, includes ideas constraining audience those students considering experiences a research lab ideas the value broadly targeting students hopes exciting those considering experience a research lab. Ideas whether is appropriate constrain topic domain addiction, whether is valuable students early their training arc obtain broader biomedical informatics training spans disease areas. Ideas whether placing statistics biomedical informatics the context addiction research provides greater intuition. Ideas how MOOC materials fit existing curriculum:  example, a high school audience targeted, should MOOC integrated existing curriculum, used class a supplement such curriculum serve an outside activity such an after-school club. Ideas whether such course serve a virtual lab” students do have opportunity view analyze research data, are interested research related majors. Ideas whether such course serve a strength the resume students applying work labs the undergraduate level beyond, including community college/associate level. Ideas whether teachers should serve the primary viewers these online courses going through materials using to create customized curriculum their students. Ideas topic areas within biomedical informatics should included the MOOC. Ideas whether regression z-scores be suitable degree challenge high school students sought. Ideas whether multi-dimensional analysis machine learning suitable challenges pre-associates pre-baccalaureate levels targeted.  Ideas how lectures should MOOC comprised of, how long should lecture be: response or not provided consideration the above bullet lecture topics. Ideas whether funded research investigators are experts these areas should the presenters the MOOC lectures:  a high school audience sought, comment funded research investigators working high school teachers if the best to foster such collaborations. Ideas what media e.g. websites, technologies) should used disseminate materials. Insights format materials each individual lecture e.g. 1 video directed teachers, 1 video use students, data, handouts homework assignments). Insights the formatting the entire compiled course. NIDA collected following listing topics relevance advance biomedical informatics within addiction research.  Please comment these potential MOOC lecture topics what level education/aptitude should targeted towards.  Please also provide additional topics would prepare students early the training pipeline experiences the lab: Analysis voltammetry signaling; Longitudinal analysis calcium imaging microelectrode data over temporal course self-administration Analysis temporal geospatial data mHealth studies Construction correlation matrices during resting state fMRI tasks Epidemiological analysis national local drug Construction Manhattan plots genetics analysis Dimensionality reduction allowing visualization high-dimensional data; Single trial analyses other high-resolution investigations research data; Investigating individual variability self-administration behavioral data explore resilience vulnerability factors; Automated analysis machine learning classification big behavioral data," such multiple camera long-term video monitoring naturalistic behaviors e.g. the home cage setting), recording ultrasonic vocalizations other behavioral measures; Analysis electronic health record EHR) data identify patterns health care data could identify those risk developing substance misuse substance disorders those risk relapsing e.g. integration EHRs administrative data examine impact the design performance the service delivery system patient outcomes); Methods integrate analyze multiple sources health data i.e., EHR, mobile device, etc.) to Submit Response ensure consideration, responses must received July 3, 2016, should emailed vani.pariyadath@nih.gov. Respondents not receive individualized feedback. respondents encouraged sign for NIDA E-News updates http://www.drugabuse.gov/international/sign-up-e-news) receive information related Institute activities, including updates the development release the final Strategic Plan. Responses this RFI voluntary. Please not include any personally identifiable other information you not wish make public. Proprietary, classified, confidential, sensitive information should be included responses. Comments submitted be compiled discussion incorporated the NIDA Strategic Plan appropriate. Any personal identifiers personal names, email addresses, etc.) be removed responses compiled. RFI for informational planning purposes only should be construed a solicitation as obligation the part the Federal Government general, NIH, NIDA specifically. NIDA does intend make any awards based responses this RFI pay the preparation any information submitted for Government’s of such information. Inquiries Please direct inquiries to: Vani Pariyadath National Institute Drug Abuse NIDA) Telephone: 301-443-3209 Email: vani.pariyadath@nih.gov