News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

Attending the 2021 American Association for Cancer Research (AACR) Annual Meeting? Here are a few event and poster sessions you won’t want to miss to learn more about the latest NCI data science, data commons, and cancer research activities.

The NIH Office of Data Science Strategy is pleased to announce the Data and Technology Advancement National Service Scholar Program is now accepting applications for its 2021 cohort.

NCI seeks applications to develop Artificial Intelligence (AI)-based models using secondary data to help predict abdominal cancers. Applications are due June 5, 2021.

NIH and the National Science Foundation are participating in an interagency funding opportunity that seeks to address technological and data science challenges, which require fundamental research and development of new tools, workflows, and methods. Proposals are due Tuesday, February 16, 2021, at 5:00 p.m. (submitter’s local time).

Applications are now being accepted for the NCI-DOE Collaboration Workshop Series on radiation oncology. Join multidisciplinary experts from basic science, clinical practice, and computational science to explore emerging and futuristic opportunities to advance radiation therapy.

NCI Director, Dr. Ned Sharpless, will serve as keynote speaker at the Sixth Computational Approaches for Cancer Workshop (CAFCW20), which will be held virtually on November 13, 2020. The CAFCW20 workshop will bring together clinicians, cancer biologists, mathematicians, data scientists, computational scientists, engineers, developers, and thought leaders interested in advancing computational approaches to better understand cancer. Abstracts may be submitted for this workshop, but they must be submitted no later than Tuesday, September 8.

An Ideas Lab is an intensive 5-day program for 30 participants (with a range of expertise and experience) to deepen their shared understanding of a complex challenge, redefine the problems within the challenge, and generate innovative ideas for research proposals. This Ideas Lab will focus on the creation of "digital twin technology."

Investigators with a wide variety of expertise, including, but not limited to, cancer biology, oncology, machine learning (or other AI), cancer systems biology, or mathematical modeling are encouraged to apply to attend the 2020 “Advancing Cancer Biology at the Frontiers of Machine Learning and Mechanistic Models” Innovation Lab.

The NIH Office of Data Science Strategy is pleased to announce the Data and Technology Advancement (DATA) National Service Scholar Program, a new opportunity for experienced data and computer scientists and engineers to tackle biomedical data challenges with the potential for substantial public health impact.