Registration is now open for the NIH/NCATS Workshop “Machine Intelligence in Healthcare: Perspectives on Trustworthiness, Explainability, Usability and Transparency” to be held on July 12, 2019 at the Neuroscience Center, National Institutes of Health, 6001 Executive Blvd, Rockville, Maryland 20852.
This workshop is sponsored by the National Institutes of Health (NIH) National Center for Advancing Translational Sciences (NCATS) and has been organized jointly with the National... Read more
There is growing recognition that infrastructure supporting modern science--including scalable and sustainable Learning Health Systems and Precision Medicine--requires biomedical knowledge to be routinely represented in computer readable forms as a complement to the customary human readable forms. This recognition has given rise to a national movement to “Mobilize Computable Biomedical Knowledge” (MCBK). You can learn more about computable knowledge and the movement to mobilize it at ... Read more
The NIH Data Science Strategic Plan aims to modernize the ecosystem of biomedical data repositories. ... Read more
The IDC will be a component of the NCI Cancer Research Data Commons (CRDC), a virtual, expandable infrastructure that provides secure access to many different data types across scientific domains, allowing users to analyze, share, and store results, leveraging the storage and elastic compute of the cloud.
The deadline to submit a proposal is Thursday, January 31, 2019, at 12:00 p.m. ET.
... Read more
The Office of Intramural Training & Education and the Office of Data Science Strategy are pleased to announce the 2019 Graduate Data Science Summer Program (GDSSP) at the National Institutes of Health. The GDSSP is a summer program that will give Masters level students in data science the opportunity to participate in mentored internships at NIH. Applications are open mid-December. For more information, please visit:... Read more
Monday, July 23, 2018, 8:45 a.m. – 4:40 p.m. ET | The John Edward Porter Neuroscience Research Center, Room 620 | NIH Main Campus, Bethesda, MD
Read the workshop summary.
Artificial intelligence (AI) and machine learning (ML) are advancing rapidly and in use across industries, including biomedical research and healthcare delivery. For this full-day public... Read more
Storing, managing, standardizing and publishing the vast amounts of data produced by biomedical research is a critical mission for the National Institutes of Health. In support of this effort, NIH today released its first Strategic Plan for Data Science that provides a roadmap for modernizing the NIH-funded biomedical data science ecosystem. Over the course of the next year, NIH will begin implementing its... Read more
Chief Data Strategist and Director, Office of Data Science Job Ad.
To capitalize on the opportunities presented by advances in data science, the NIH is developing a Strategic Plan for Data Science. NIH published a Request for Information (RFI) to seek input on a draft strategic plan from stakeholders including members of the scientific community, academic institutions, the private sector, health professionals, professional societies, advocacy groups, patient communities, as... Read more
NIH Data Commons Pilot Phase to seek best practices for developing and managing a data commons
Twelve awards totaling $9 million in Fiscal Year 2017 will launch a National Institutes of Health Data Commons Pilot Phase. A data commons is a shared virtual space where scientists can work with the digital objects of biomedical research, such as data and analytical tools. The NIH Data Commons will be implemented in a four-year pilot phase to explore the feasibility and best... Read more