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NOV
6 | |
Nov 06, 2017
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 practices for making digital objects available through collaborative platforms. For more information please see the full press release at https://www.nih.gov/news-events/news-releases/nih-awards-test-ways-store-access-share-compute-biomedical-data-cloud
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JUL
25 | |
Jul 25, 2017
Dr. Michele Taylor presented on EPS’s Integrated Risk Information Systems (IRIS) for Chemical Evaluations. (presentation included) EPA’s IRIS system includes new workbench tools for interactive review of current literature (SWIFT-REVIEW). Tools includes advanced machine learning capabilities to find related studies and advanced visualization tools to quickly review literature as a compendium. Current assessment indicates a ~23% improvement in work saved over other methods.
https://www.sciome.com/swift-review/
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JUL
7 | |
Jul 07, 2017
In the first stage, awardees will design innovative solutions that meet the needs of one or more of the computational, data and scientific key capabilities of the Data Commons. It is expected that awardees will participate collectively as a consortium and work cooperatively toward achieving NIH’s comprehensive vision for an interoperable, FAIR (Findable, Accessible, Interoperable and Reusable) compliant, multi-cloud NIH Data Commons founded on open source and open standards. The Commons will be designed to comply with the principles of making digital objects FAIR. In the second stage, the solutions developed by the DCPPC will be implemented.
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JUN
6 | |
Jun 06, 2017
This solicitation stems from community feedback received through various venues and listening sessions. A Working Group of Program Directors from BIO/MCB, BIO/IOS and MPS/Division of Mathematical Sciences (DMS) drafted a set of recommendations for an activity in this area. Subsequently, the Simons Foundation committed half of the funding for three small center awards (the intended outcome of the solicitation) over a 5-year period. Up to $2M/yr for 5 years!
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JUN
6 | |
Jun 06, 2017
The Alfred P. Sloan Foundation has made a 2-year, $747K award to the California Digital Library, DataCite and DataONE to support collection of usage and citation metrics for data objects. Building on pilot work, this award will result in the launch of a new service that will collate and expose data level metrics.
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JUN
6 | |
Jun 06, 2017
Special Section in the Journal of Medical Imaging: Quantitative Imaging Methods and Translational Developments – Honoring the Memory of Dr. Larry Clarke.
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MAY
4 | |
May 04, 2017
Moving Quantitative Imaging Forward-Symposium in Memory of Laurence Clarke. Dr. Clarke was a visionary in the field of cancer imaging with a particular focus on quantitative imaging methods across a range of imaging modalities to support clinical decision-making and cancer research.
Medical imaging and image-guided interventions community-Symposium in Memory of Lee Rosen, PhD. He was the organizer of Biomedical Imaging Technology (BMIT) study section and was a tireless advocate for our field and mentor to many.
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APR
25 | |
Apr 25, 2017
The program will develop new machine learning systems that continue to learn during operation. This will include addressing both the technical and safety challenges associated with runtime learning as well as looking to natural and biological systems for new ideas for robust and efficient adaptive algorithms. The BAA is now published: http://www.darpa.mil/work-with-us/opportunities
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