The National Institutes of Health (NIH) Big Data to Knowledge (BD2K) program is pleased to announce The BD2K Guide to the fundamentals of Data Science, a series of online lectures given by experts from across the country covering a range of diverse topics in data science. This course is an introductory overview that assumes no prior knowledge or understanding of data science.
The series starts Friday, September 9th and will run all year once per week at 12noon-1pm ET.
This is a joint effort of the BD2K Training Coordinating Center (TCC), the BD2K Centers Coordination Center (BD2KCCC), and the NIH Office of the Associate Director of Data Science. For up-to-date information about the series and to see archived presentations, go to this website.
1/6/17 SECTION 3: COMPUTING OVERVIEW (Dates tentative)
2/3/17 Commons: lessons learned, current state
2/10/17 SECTION 4: DATA MODELING AND INFERENCE OVERVIEW (Dates tentative)
4/7/17 Modeling Synthesis
SECTION 5: ADDITIONAL TOPICS
Other Upcoming BD2K Opportunities
- PLOS Computational Biology Symposium, September 16, 9:30am – 4:00pm ET, on the NIH Bethesda campus. The agenda includes two discussion panels served by PLOS Computational Biology editors from a range of fields. The morning panel will discuss the “Biggest Challenges and Greatest Opportunities in Computational Biology over the Next 10 Years”. The afternoon panel will discuss “How Computational Biology Will Affect Human Health”. Register here. For those unable to attend in person, the event will be webcasted here.
- The Advanced Computational Neuroscience Network (ACNN) and NSF presents: Midwest Workshop on Big Neuroscience Data, Tools, Protocols & Services, September 20-21, Ann Arbor, MI. Register here.
- The National Academy of Medicine will host a public symposium Vital Directions for Health & Health Care: A National Conversation on September 26 in Washington, DC. A live video webcast will be available. Register here.
- Joint NSF/NIH Training Opportunity: NOT-EB-16-008 “Notice of NIH/BD2K Participation in the Joint NSF/NIH Initiative on Quantitative Approaches to Biomedical Big Data (QuBBD)”. Proposals due September 28, 2016. For more information, please see this website.
- NIH Request for Information (RFI): NOT-OD-16-133 “Metrics to Assess Value of Biomedical Digital Repositories”. The NIH seeks feedback from a broad range of repository stakeholders, including researchers, data scientists and curators, repository managers, and standards or tool developers. Responses must be submitted to NIH_Repository_Metrics_RFI@
mail.nih.gov by September 30, 2016.