
NSF Org: |
OAC Office of Advanced Cyberinfrastructure (OAC) |
Recipient: |
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Initial Amendment Date: | August 12, 2016 |
Latest Amendment Date: | August 10, 2020 |
Award Number: | 1639529 |
Award Instrument: | Standard Grant |
Program Manager: |
Alejandro Suarez
alsuarez@nsf.gov (703)292-7092 OAC Office of Advanced Cyberinfrastructure (OAC) CSE Directorate for Computer and Information Science and Engineering |
Start Date: | September 1, 2016 |
End Date: | August 31, 2022 (Estimated) |
Total Intended Award Amount: | $3,000,000.00 |
Total Awarded Amount to Date: | $3,463,681.00 |
Funds Obligated to Date: |
FY 2017 = $463,681.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
601 S KNOLES DR RM 220 FLAGSTAFF AZ US 86011 (928)523-0886 |
Sponsor Congressional District: |
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Primary Place of Performance: |
ARD Building #56 Suite 240 Flagstaff AZ US 86011-0001 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
Track 1 INFEWS, Hydrologic Sciences, Data Cyberinfrastructure |
Primary Program Source: |
01001718DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
The Food, Energy, and Water (FEW) system is complex, vulnerable to societal and environmental changes, yet critical for national well-being. This project's major contribution is to create and exploit the first detailed mapping of the Food, Energy, and Water System of the United States. Using this capability will improve understanding of how local Food, Energy, and Water policy decisions and technologies cause ripple effects throughout the system (for example, how electricity usage in an American city affects rivers hundreds of miles away). Policies and technologies often pose trade-offs between Food, Energy, and Water systems, and this project is measuring those trade-offs so costs and benefits may be understood and balanced in future decisions. By studying how past events like droughts, storms, wars, or economic crises have affected the nation's Food, Energy, and Water System, this project is developing the capacity to anticipate the impacts of future events.
The project provides an empirical basis for advances in theory and scientific modeling of the complete food-energy-water (FEW) system of the United States. The system is primarily composed of mesoscale phenomena in which regional trade, river basins and aquifers, irrigation districts, crop belts, states, tribes, counties and cities, power grids, climate gradients, and seasonal timescales interact in a dynamic, inter-connected coupled natural-human system. To advance understanding of these interactions, a reliable and complete empirical description of the FEW system is needed. This requires a dataset containing consumption, production, and bilateral trade data for the United States, with sub-county resolution. A retrospective version of this dataset (containing data from the mid-20th century to the present), will serve as a model network for the FEW system's emergent performance metrics, sustainability metrics, and supply-chain teleconnections, along with observed historical dynamics of system response, vulnerability, and resilience to stresses and shocks. A wide range of diverse and disparate (but mostly pre-existing) economic, climate, and environmental data will be assembled to create the first comprehensive empirical map of the U.S. Food, Energy, and Water system (the FEWSion v1.0-US database). This capability will then be used to achieve four high-value science and modeling objectives: (1) quantify the multiple-objective trade-offs between performance and sustainability metrics, (2) analyze historical sensitivity, vulnerability, resilience, and evolution of the FEW network with attribution to observed stresses and shocks, (3) establish the role of cities within the FEW system, and (4) provide a standards-based benchmarking assessment capability that can be used by other projects awarded under Track 1 (FEW System Modeling) and Track 3 (Research to Enable Innovative System Solutions) of this INFEWS solicitation. A public online educational tool uses this information to visualize how individual and local decisions create environmental footprints, and how those decisions create impacts throughout the food, energy, and water system.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
OVERVIEW: FEWSION (https://fewsion.us) was founded in 2016 by a grant from the INFEWS program that is sponsored by the National Science Foundation (NSF) and the U.S. Department of Agriculture (USDA). The purpose of the project is to bring together a multi-university team of scientists to map the U.S. food energy and water system at the mesoscale of cities and counties, and to use that data to study the sustainability and resilience of that system.
INTELLECTUAL MERIT: FEWSION has built the first complete empirical description of the U.S. supply chains so that every citizen and policymaker in the U.S. can see where their commodities come from. The FEWSION 1.0/2.0 database is the first complete dataset describing that system, and has been used as a basis for dozens of scholarly publications explaining the behavior of that system. Some key publications include a paper in Nature in 2021 demonstrating the first all-hazards food supply chain risk model for US cities, and a paper in Nature Sustainability in 2020 that argues for alfalfa fallowing programs as the solution to the western water crisis by way of removing irrigation water from the western beef supply chain. The team's work will be sustained beyond the end of this initial investment through the establishement of a research center at Northern Arizona University and continued funding from DoD, IARPA, USDA, and follow-on NSF grants.
Gomez, M., Mejia, A., Ruddell, B.L. & Rushforth, R.R. (2021). "Supply chain diversity buffers cities against food shocks." Nature, V.595. https://doi.org/10.1038/s41586-021-03621-0
Richter, B.D., Bartak, D., Caldwell, P. et al. (2020). ?Water scarcity and fish imperilment driven by beef production.? Nature Sustainability. https://doi.org/10.1038/s41893-020-0483-z.
BROADER IMPACTS: FEWSION provides U.S. communities with real-life data to map the vulnerabilities and environmental footprints of supply chains as well as their resilience. FEW-View is the online educational tool that helps U.S. residents and community leaders visualize their supply chains, with an emphasis on food, energy, and water. FEW-View? was released to the public on April 29, 2019. Using FEW-View, the team's researchers have provided the U.S. public with data-driven insights to help manage the COVID-19 supply chain crisis, to help FEMA with national emergency preparedness exercises, and to recommend solutions for the Western Water Crisis. The science behind FEWSION has led to the creation of the FEWSION for Community Resilience Network (F4R, https://fewsion.us/f4r/), a summer workshop on supply chain data science, a not-for-credit course offered by NAU Continuing Education, and a graduate course INF523 offered by Northern Arizona University and other universities. Dozens of junior scientists have been trained on the ideas of networked system resilience by the project. A podcast series on supply chains was released on SoundCloud under the name "Crucial FEWSION". Two of the first textbooks on the food energy water nexus have been published by the research team. The team's research and educational message has been featured dozens of times in the press, and held the front page banner of the NSF's homepage in 2019 after the release of FEW-View.
Ruddell, B.L., Miller, J., Rushforth, R.R., Salla, R., Soktoeva, E. & Gorantla, R. (2021). "FEW-View? 1.3, the FEWSION? Visualization System," 04 October, 2021. https://fewsion.us / https://fewsion.dtn.asu.edu.
Saundry, P. and Ruddell, B.L. (eds.). (2020). ?The Food-Energy-Water Nexus,? (AESS Interdisciplinary Environmental Studies and Sciences Series). Springer, 978-3-030-29913-2. https://doi.org/10.1007/978-3-030-29914-9
Ruddell, B.L., Rushforth, R.R. & Ryan, S.M. (2021). F4R?: FEWSION for Community Resilience? Curriculum. July 16th, 2021 Edition, Lulu Press.
Last Modified: 12/13/2022
Modified by: Benjamin L Ruddell
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