NIH SIGs and Listservs Serving the Biomedical Data Science Community
NIH officially supports NIH Scientific Interest Groups (SIGs) and listservs. SIGs run events, offer mentoring, and help share the newest techniques with the community. SIGs and listservs with a Data Science focus or a Data Science-related focus are listed below.
Computational and Quantitative Science Focused Groups:
Data Science in Biomedicine Interest Group (Data Science, BIG)
The goal of “Data Science, BIG” is to foster the growing community of biomedical data scientists at NIH through improving communications, providing a forum for scientific discussions, and catalyzing collaborations.
“Data Science, BIG” will work with established SIGs and community groups that focus on components of data science, to coordinate activities and increase awareness of opportunities in data science. This interest group will engage scientists from across the NIH, both intramural and extramural, by meeting quarterly on campus, sometimes in conjunction with other SIGs. The group will host a seminar series of internal and external speakers, organize an annual poster session, and collect user input on what workshops/courses are needed at NIH. Additional activities depend on the interests of the group. To join the SIG, add your name to the NIH-DATASCIENCE-L LISTSERV at https://list.nih.gov/cgi-bin/wa.exe?SUBED1=nih-datascience-l&A=1.
“Data Science, BIG” is being co-sponsored by the Office of the Associate Director for Data Science, the NIH Library, and the National Library of Medicine. For questions, contact Ben Busby at firstname.lastname@example.org.
Statistics Scientific Interest Group (Statistics SIG)
The goal of this SIG is to foster and support the growing community of statisticians at NIH. The scientific focus is on statistical methods commonly used in the design and analysis of clinical trials, explorations in epidemiology and population science, as well as biomedical science more broadly. These topics include but are not limited to: examination of large datasets, analysis of data from new technologies (e.g. high-dimensional “omics” data), risk assessment and prediction, quantitative approaches to precision medicine, adaptive methodology in clinical trials, causal inference, meta-analysis, and analysis in the face of complexities such as time-varying effects, missing values, and multiplicities.
This new SIG will enable lively and productive discussions between and within statistical groups and others interested in the application of statistics at the NIH. The SIG will meet quarterly. The SIG is being co-sponsored by the NIH/Office of the Director and the NCI. To join the SIG or for questions, contact Tammy Massie (email@example.com). To email the listserv, send your message to STATISTICS-NIH-L@list.nih.gov.
Bioinformatics Interest Group
The Bioinformatics SIG aims to promote collaboration and knowledge-sharing between computational biologists across the NIH. The group also strives to provide a forum for researchers who have an interest in applying computational approaches to their own work to meet with experienced computational biologists, thereby establishing a network through which productive scientific collaborations can be fostered and encouraged. The Bioinformatics SIG meets approximately once every quarter. Each meeting will feature talks that describe, in detail, bioinformatic methods used to answer specific biological questions. Poster sessions will be incorporated into meetings on an occasional basis, to allow trainees to discuss their work and solicit feedback on their research findings.
Machine Learning in Brain Imaging Interest Group
The goal of the Machine Learning/Brain Imaging discussion group is to bring together those interested in the application of machine learning algorithms to neuroimaging data, particularly to MRI data. The group meets approximately once a month somewhere at the NIH main campus in Bethesda. For each meeting, we invite a speaker who introduces us to a new method and/or describes a study in which machine learning was successfully applied to neuroimaging data in innovative ways. Presentations of on-going projects to generate a discussion that may help the presenter move forward with their own research are also welcome. In addition to the talk, speakers are asked to spend a whole day at the NIH so that members of the group can meet with them separately. All announcements are distributed via the MachineLearning-BrainImaging NIH e-mail list. If you want to join the group, or want to provide suggestions for future speakers, please contact Javier Gonzalez-Castillo (firstname.lastname@example.org).
Biomedical Computing Interest Group
The primary purpose of the NIH Biomedical Computing Interest Group (BCIG) is to promote novel uses of computational methodology to support clinical care and biomedical research. BCIG’s interests go beyond the ordinary uses of computers in medicine. We explore new and innovative applications emphasizing computational intelligence and data mining. This is accomplished through lectures by experts, focus group sessions on selected topics, book club meetings, internet dialogues, social gatherings and a general promotion of collaboration among immediate and extended NIH biomedical research community members who are interested and engaged in the computational aspects of modern medicine. Regular BCIG meetings are held twice a month on second and fourth Thursdays in the Building 50 lobby conference rooms.
To subscribe to or to unsubscribe from the BCIG-L List: https://list.nih.gov/cgi-bin/wa.exe?SUBED1=BCIG-L&A=1
Groups with Interests Related to Biomedical Data Science:
Groups at the NIH that would like to be added to this list should contact us.
This page last reviewed on September 5, 2018