Science Policy & Funding
From the NSF:
Designing Materials to Revolutionize and Engineer our Future (DMREF) is the primary program through which the National Science Foundation participates in the national Materials Genome Initiative (MGI) for Global Competitiveness. MGI recognizes the importance of materials science to the well-being and advancement of society and aims to “deploy advanced materials at least twice as fast as possible today, at a fraction of the cost.”
DMREF seeks to promote activities that significantly accelerate materials discovery and development by building the fundamental knowledge base needed to progress towards designing and making materials with specific and desired functions or properties from first principles. Also of interest is research that seeks to advance fundamental understanding of materials across length and time scales to elucidate the effects of microstructure, surfaces, and coatings on the properties and performance of materials and devices. Read the rest of this entry »
The NIH Big Data to Knowledge (BD2K, http://bd2k.nih.gov/) initiative announces the release of three related RFAs for new training programs and revisions to existing training programs in biomedical Big Data Science:
- Predoctoral Training in Biomedical Big Data Science (T32) (NOT-HG14-004)
- Revisions to Add Biomedical Big Data Training to Active Institutional Training Grants (T32) (NOT-HG14-005)
- Revisions to Add Biomedical Big Data Training to Active NLM Institutional Training Grants in Biomedical Informatics (T15) (NOT-HG14-006)
The first deadline for these applications is July 28, 2014, with an optional letter of intent due June 28, 2014.
Please view full details by going to the links above.
From the NSF:
The National Science Foundation (NSF) Division of Mathematical Sciences (DMS) aims to enhance the synergistic relationships between the mathematical sciences and other NSF-supported disciplines through the Mathematical Sciences Innovation Incubator (MSII) activity. The MSII activity encourages and supports new research collaborations among mathematical scientists and other scientists and engineers working in NSF-supported research areas of high national priority by:
* facilitating DMS co-review and co-funding of multi-disciplinary research collaborations involving mathematical scientists;
* providing leverage for investments of non-DMS NSF programs in projects that include mathematical scientists; and
* providing a uniform mechanism through which collaborative research teams involving mathematical scientists can request DMS co-review.
To view more details, please visit the MSII page. To apply and to view this complete letter, go to:
From Lewis-Burke Associates LLC:
President Obama proposes significant national investments in agencies and programs critical to the applied mathematics and computational science research communities:
- National Science Foundation – $7.255 billion in FY 2015 (1.2 percent above the FY 2014 enacted funding level); DMS would see a decrease of 0.5 percent from the FY 2014 level.
- Department of Energy’s Office of Science – $5.11 billion in FY 2015 (0.9 percent above the FY 2014 level), with Advanced Scientific Computing Research increasing 13.2 percent over the FY 2014 level;
- Department of Defense Basic Research – $2.02 billion in FY 2015 (6.9 percent down from the FY 2014 level), with DARPA Defense Research Sciences decreasing by 0.9 percent from the FY 2014 request level.
- National Institutes of Health – $30.4 billion in FY 2015 (0.7 percent over the FY 2014 level).
Please see a full report of Programs of Interest to the Applied Mathematics and Computational Science Communities in the President’s FY 2015 Budget Request.
From the NSF:
The NSF Research Traineeship (NRT) program is a new NSF graduate education initiative. It is designed to encourage the development of bold, new, potentially transformative, and scalable models for STEM graduate training that ensure that graduate students develop the skills, knowledge, and competencies needed to pursue a range of STEM careers.
The NRT program initially has one priority research theme – Data-Enabled Science and Engineering (DESE); in addition, proposals are encouraged on any other crosscutting, interdisciplinary theme. In either case, proposals should identify the alignment of project research themes with national research priorities and the need for innovative approaches to train graduate students in those areas. NRT projects should develop evidence-based, sustainable approaches and practices that substantially improve STEM graduate education for NRT trainees and for STEM graduate students broadly at an institution. NRT emphasizes the development of competencies for both research and research-related careers.
View more details on the NSF site here.
From the NSF:
The NIH Big Data to Knowledge initiative (BD2K,) recently announced the release of an RFA for software and methods development in biomedical Big Data Science:
Development of Software and Analysis Methods for Biomedical Big Data in Targeted Areas of High Need (U01) (RFA-HG-14-020):
This opportunity targets four topic areas of high need for researchers working with biomedical Big Data,
1. Data Compression/Reduction
2. Data Provenance
3. Data Visualization
4. Data Wrangling
The receipt deadline for applications is June 19, 2014, with an optional letter of intent due May 19, 2014.
BD2K is a new major trans-NIH initiative that aims to support advances in data science, other quantitative sciences, policy, and training that are needed for the effective use of Big Data in biomedical research. Interested applicants are encouraged to join the listserv (on the BD2K homepage) to receive the most up-to-date information about BD2K events and funding opportunities.
Please share this opportunity with your interested colleagues. If you have questions, please contact David Miller at email@example.com.
Lewis-Burke Associates LLC – January 29
On January 26, the National Science Foundation (NSF) released a Dear Colleague Letter entitled “Preparing Applications to Participate in Phase I Ideas Labs on Undergraduate STEM Education.” NSF will be hosting three ideas labs in March and April on improving science, technology, engineering, and mathematics (STEM) education in the areas of engineering, biology, and geosciences. Applications are due February 4.
NSF Ideas Labs bring together a group of participants with expertise in a relevant area to work in teams over a five day, intensive workshop to develop proposals. Following the workshop, select teams will be invited to submit proposals to a competition for funding. Ideas Labs generally involve 20-30 participants who are assisted by scientists with relevant expertise and a team of facilitators. Ideas Labs provide an opportunity to form new multidisciplinary collaborations and gain real-time iterative feedback to improve proposal ideas.
Each of the disciplines involved in the Ideas Labs have outlined their priority workforce development needs in the Dear Colleague Letter. The biology Ideas Lab will focus on giving students mathematical and computational skills, the engineering Ideas Lab will focus on social equality in engineering education, and the geosciences Ideas Lab will focus on broader access to undergraduate courses for diverse populations. Read the rest of this entry »
The Division of Mathematical Sciences (DMS) of the National Science Foundation (NSF) strongly encourages mathematicians and statisticians to participate in the 2014 NSF activity Designing Materials to Revolutionize and Engineer our Future (DMREF).
DMREF is the main program by which NSF participates in the Materials Genome Initiative (MGI) for Global Competitiveness , a national materials initiative. MGI recognizes the importance of materials science to the well-being and advancement of society and aims to “deploy advanced materials at least twice as fast as possible today, at a fraction of the cost.” It integrates all aspects of materials design, including materials discovery, development, property optimization, systems design and optimization, certification, manufacturing, and deployment, with each employing the toolset that is being developed within the materials innovation infrastructure. The toolset will integrate synergistically advanced computational methods and visual analytics with data-enabled scientific discovery and innovative experimental techniques, aiming to revolutionize the approach to materials research and engineering.
DMREF comprises well-coordinated activities involving the Directorates of Mathematical and Physical Sciences (MPS), Engineering (ENG), and Computer & Information Science & Engineering (CISE). For further details and participating divisions please see NSF 14-020, the broadly aimed Dear Colleague Letter about DMREF in fiscal year 2014 . As described in that Letter, success in the initiative requires a collaborative, synergistic, iterative approach that shows interactions among theory, computation, and experiments. This approach is the central principle of MGI. DMREF proposals will be reviewed jointly by the appropriate participating divisions. Adherence to the aims and principles of MGI will facilitate this joint review.
New DOE Funding Opportunity: Scientific Data Management, Analysis and Visualization at Extreme Scale 2
From the DOE:
The Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR) is pleased to announce a new funding opportunity in Computer Science entitled “Scientific Data Management, Analysis and Visualization at Extreme Scale 2”. This announcement is open to universities, industry, non-profit organizations, and Federally Funded Research and Development Centers (FFRDCs), including the DOE National Laboratories. Please share this with your colleagues.
From the NSF:
The National Science Foundation (NSF) announces the third year of a national materials initiative, Designing Materials to Revolutionize and Engineer our Future (DMREF). DMREF is the primary program by which NSF participates in the Materials Genome Initiative (MGI) for Global Competitiveness. MGI recognizes the importance of materials science to the well-being and advancement of society and aims to “deploy advanced materials at least twice as fast as possible today, at a fraction of the cost.” As a national initiative, MGI integrates all aspects of the materials continuum, including materials discovery, development, property optimization, systems design and optimization, certification, manufacturing, and deployment, with each employing a toolset to be developed within a materials innovation infrastructure. The toolset will synergistically integrate advanced computational methods and visual analytics with data-enabled scientific discovery and innovative experimental techniques so as to revolutionize our approach to materials science and engineering. Read the rest of this entry »