The following funding opportunities and announcements from NSF and DOE were released this week and may be of interest to your faculty. Please forward as appropriate.
National Science Foundation:
All NSF directorates and offices share complementary interests in data-intensive research in science and engineering and have provided support for different aspects of this broad area through their established programs. However, NSF recognizes the transformative potential in convergent approaches that bring together researchers with expertise in various science and engineering domains, including data science, to tackle grand challenges associated with making discoveries from analysis of complex data. The potential for identifying and solving these challenges is the impetus for this funding opportunity.
The conceptualization phase of the HDR Institutes effort will last up to 2 years and focus on pilot activities necessary to advance data-intensive research in science and engineering.
- Awards: NSF intends to award up to $21 million for 8-10 awards.
- Individuals may only serve as PI or Co-PI on one proposal and participants in the Ideas Lab are not eligible.
- Due May 7, 2019
As one part of the HDR ecosystem, this strategy is aimed at identifying areas of science and engineering that:
- “are at a ‘tipping point’ where a timely investment in data-intensive approaches has the maximum potential for a transformative effect;
- have needs that can benefit from interdisciplinary investments in data analytic infrastructure; and
- represent investment priorities for the participating NSF directorates during, and beyond, the lifetime of the HDR Big Idea.
Frameworks for HDR Institutes must have the following attributes:
- An innovative vision for an Institute that articulates the potential for transformative outcomes in science and engineering through data-intensive research;
- Collaborations among domain scientists, data scientists, and cyberinfrastructure experts that leverage of existing research infrastructure and resources;
- A vision for transforming communities of practice and the future workforce in data-intensive research. These activities must be well-integrated into the Framework research activities;
- The development of convergent modes of collaboration that cross institutional boundaries and that can expand to engage new collaborators throughout the lifecycle of a future Institute. Approaches must be scalable and extensible for a future Institute; and
- A common means of openly sharing outcomes from the Institute, including but not limited to scientific and education outcomes, data, algorithms and models.
The Divisions of Chemical, Bioengineering and Environmental Transport (CBET) and Civil, Mechanical, and Manufacturing Infrastructure (CMMI) in the Engineering Directorate of the National Science Foundation (NSF) are partnering with The Center for the Advancement of Science in Space (CASIS) to solicit research projects in the general fields of tissue engineering and mechanobiology that can utilize the International Space Station (ISS) National Lab to conduct research that will benefit life on Earth. U.S. entities including academic investigators, non-profit independent research laboratories and academic-commercial teams are eligible to apply.
- Awards: Up to $400,000 for up to three years.
- Before submitting a full proposal, potential PIs or teams should consult as early as possible with the CASIS Operations team(NSFCASIS@iss-casis.org) for feedback regarding feasibility and compliance with flight requirements and capabilities.
- Submission window: February 25, 2019 – March 04, 2019
US Department of Energy:
This FOA seeks applications for research that address the challenges and opportunities in associating gene(s) to function (i.e., genotype to phenotype) in plant systems of relevance to the BER mission in energy and the environment, with the goal of elucidating and validating the functional roles of genes, gene families, and associated pathways. Examples of physiological and metabolic processes of interest include but are not limited to: nutrient and water use efficiency; tolerance and/or resistance to abiotic stresses such as drought and temperature extremes; developmental processes critical to enhanced biomass yield and optimization or extension of growth range; and metabolism of oils and fatty acids for biofuels and bioproducts. Species of interest include candidate bioenergy plants (e.g., sorghum, switchgrass, Populus) and oilseed crops (e.g., Camelina). Additionally, duckweed (Lemnaceae) as a source of biofuel/bioproducts will be considered. Research using model species such as Arabidopsis, Brachypodium, Chlamydomonas, and Nicotiana is acceptable if the applicant demonstrates clear relevance of the focal genetic system to candidate bioenergy crop plants, as well as potential for translation to bioenergy crops.
- Awards: $250,000-$1,000,000 per year for two to three years.
- Preapplication due March 13; full May 17.
Applications are solicited for –omics driven basic research on the contribution of prokaryotic and eukaryotic microbes and microbial communities to biogeochemical cycling in terrestrial soil and sedimentary ecosystems in the following areas: 1) Systems biology studies on regulatory, metabolic, and signaling networks of microbes, microbial consortia, and microbe-plant interactions involved in biogeochemical cycling of nutrients. Proposed studies should focus on systems biology research using model microbes or microbial consortia that are relevant to biogeochemical cycling in terrestrial ecosystems. Experimental systems should be carefully chosen to facilitate development of microbial community-scale metabolic and regulatory models, examine fundamental ecological principles, and inform understanding of larger-scale biogeochemical processes in the environment of interest. 2) Development and application of –omics approaches to investigate microbial community processes involved in biogeochemical cycling in terrestrial and sedimentary ecosystems. Applications should address the adaptation of genome-enabled techniques (e.g. metagenomics, metatranscriptomics, metaproteomics, community-scale metabolomics, etc.) to interrogate relevant processes of microbes in terrestrial environments, either at field sites or using model micro-/meso-cosms, and integrate resulting data into process understanding at the ecosystem scale. Applications are encouraged that target key microbe-mediated biogeochemical cycling processes in terrestrial systems to predict responses to shifts in temperature, precipitation, CO2 concentration, or other environmental stressors.
- Awards: $250,000-$1,250,000 per year for two to three years.
- Preapplication due March 13; full May 17.
Feb 15 2019 1:00PM to Feb 15 2019 3:00PM Eastern Standard Time (New York, UTC/GMT-05:00)
NSF’s Harnessing the Data Revolution (HDR) is a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering. The HDR vision is realized through an interrelated set of activities and funding opportunities. Each of these efforts is designed to amplify the intrinsically multidisciplinary nature of the emerging field of data science.
This letter from Social and Behavioral Sciences’ (SBE) Assistant Director, Arthur Lupia, is posted to alert the SBE research community about substantial funding opportunities from NSF relevant to SBE scientists.
As always, please feel free to contact me with any questions.
Julie B. Svetlik | Strategic Grant Coordinator
Texas A&M AgriLife Research
1500 Research Parkway | College Station, TX 77843-2583
O: 979-845-1260 | email@example.com