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HIGHLIGHTS
FUNDING OPPORTUNITIES
INNOVATIONS AT THE NEXUS OF FOOD, ENERGY,
AND WATER SYSTEMS (INFEWS)
Humanity is reliant upon the physical resources and natural systems of the Earth for the provision of food, energy, and
water. ere is a critical need for research that enables new means of adapting to future challenges. e food, energy,
and water systems must be dened broadly, incorporating physical processes (such as man-made infrastructure and new
technologies for more ecient resource utilization), natural processes (oods and droughts), biological processes (such
as agriculture and livestock production), social/behavioral processes (such as decision-making processes), data sciences,
and computation and modeling. It is the synergy among these components in the context of sustainability that will open
innovative science and engineering pathways to produce new knowledge and novel technologies to solve the challenges
of scarcity and variability.
e overarching goal of INFEWS is to catalyze the well-integrated interdisciplinary research eorts to transform
scientic understanding of the food, energy and water nexus in order to improve system function and management,
address system stressors, increase resilience, and ensure sustainability.
INFEWS enables interagency cooperation on one of the most pressing problems of the millennium - understanding
interactions across the food, energy and water nexus - how the interactions are likely to aect our world, and how we can
proactively plan for their consequences. e NSF and the United States Department of Agriculture National Institute of
Food and Agriculture (USDA/NIFA) are interested in promoting interdisciplinary cooperation that links scientists and
engineers to solve the signicant global challenges at the nexus of food, energy and water systems. Proposals including
international collaboration are encouraged when those eorts enhance the merit of the proposed work by incorporating
unique resources, expertise, facilities or sites of international partners.
Please click on one of the available links for more information:
HTML: https://www.nsf.gov/pubs/2017/nsf17530/nsf17530.htm?WT.mc_id=USNSF_25&WT.mc_ev=click
PDF: https://www.nsf.gov/pubs/2017/nsf17530/nsf17530.pdf ?WT.mc_id=USNSF_25&WT.mc_ev=click
DESIGNING MATERIALS TO REVOLUTIONIZE
AND ENGINEER OUR FUTURE (DMREF)
Designing Materials to Revolutionize and Engineer our Future (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 (dened broadly) 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 integrates materials discovery, development,
property optimization, and systems design and optimization, with each employing a toolset to be developed within a
materials innovation infrastructure. e toolset synergistically integrates advanced computational methods and visual
analytics with data-enabled scientic discovery and innovative experimental techniques to revolutionize our approach to
materials science and engineering.
Accordingly, DMREF supports activities that accelerate materials discovery and development by building the
fundamental knowledge base needed to design and make materials with specic and desired functions or properties
from rst principles. is is accomplished by understanding the interrelationships of composition, structure, properties,
processing, and performance. Achieving this goal involves modeling, analysis, and computational simulations, validated
and veried through sample preparation, characterization, and device demonstration. It requires new data analytic tools
and statistical algorithms; advanced simulations of material properties in conjunction with new device functionality;
advances in predictive modeling that leverage machine learning, data mining, and sparse approximation; data
infrastructure that is accessible, extensible, scalable, and sustainable; the development, maintenance, and deployment
of reliable, interoperable, and reusable soware for the next-generation design of materials; and new collaborative
capabilities for managing large, complex, heterogeneous, distributed data supporting materials design, synthesis, and
longitudinal study.