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

Text reads: Innovation Lab June 1-5, 2020, Advancing Cancer Biology at the Frontiers of Machine Learning and Mechanistic Models. Round image underneath features computer coding with mathematical formulas in the background.

Apply for the Cancer Systems Biology Consortium (CSBC) Innovation Lab by March 20

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.

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Metadata Automation DREAM Challenge is Open for Registration

The Metadata Automation DREAM Challenge is now open for registration. Using structured biomedical data files, Challenge participants will develop solutions that apply existing research data annotations to help automate the annotation of metadata fields and values.

NCBI Codeathons: Bringing people with diverse backgrounds together to build tools for advanced analysis of biomedical data. White text with purple background and white dots in background.

NCBI Biomedical Data Science Codeathon—Applications Due December 15

The National Center for Biotechnology Information (NCBI), in collaboration with Carnegie Mellon University (CMU), is pleased to announce a Biomedical Data Science Codeathon on January 8-10, 2020, at the CMU campus in Pittsburgh, PA.

NCBI Codeathons: Bringing people with diverse backgrounds together to build tools for advanced analysis of biomedical data. White text with purple background and white dots in background.

NCBI Single Cell in the Cloud Codeathon—Project Proposals Due December 2

The New York Genome Center is hosting a National Center for Biotechnology Information (NCBI) Single Cell in the Cloud codeathon from January 15 – 17, 2020.

Brain Cancer Predictive Modeling and Biomarker Discovery Challenge

Brain Cancer Predictive Modeling and Biomarker Discovery Challenge Launches November 1

Clinical investigators at Georgetown University are seeking to advance precision medicine techniques for the prognosis and treatment of brain tumors through the identification of novel multi-omics biomarkers.

Purple image with text reading Medadata Automation DREAM Challenge. To the right a magnifine glass, heart, gear.

Are You Up for the Challenge? Pre-Register for the Metadata Automation DREAM Challenge

The Metadata Automation DREAM Challenge provides an opportunity for developers, cancer informaticists, data scientists, and data engineers to develop a solution to automate metadata annotation.

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