Award Abstract # 2118329
HDR Institute: Geospatial Understanding through an Integrative Discovery Environment

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: UNIVERSITY OF ILLINOIS
Initial Amendment Date: September 15, 2021
Latest Amendment Date: May 29, 2024
Award Number: 2118329
Award Instrument: Cooperative Agreement
Program Manager: Cheryl Eavey
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2021
End Date: September 30, 2026 (Estimated)
Total Intended Award Amount: $15,000,000.00
Total Awarded Amount to Date: $16,010,000.00
Funds Obligated to Date: FY 2021 = $6,845,994.00
FY 2022 = $5,009,251.00

FY 2023 = $4,144,755.00

FY 2024 = $10,000.00
History of Investigator:
  • Shaowen Wang (Principal Investigator)
    shaowen@illinois.edu
  • Mohan Ramamurthy (Co-Principal Investigator)
  • David Tarboton (Co-Principal Investigator)
  • Xiaohui Carol Song (Co-Principal Investigator)
  • Deanna Hence (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Illinois at Urbana-Champaign
506 S WRIGHT ST
URBANA
IL  US  61801-3620
(217)333-2187
Sponsor Congressional District: 13
Primary Place of Performance: University of Illinois at Urbana-Champaign
506 S. Wright Street
Urbana
IL  US  61801-3620
Primary Place of Performance
Congressional District:
13
Unique Entity Identifier (UEI): Y8CWNJRCNN91
Parent UEI: V2PHZ2CSCH63
NSF Program(s): TRIPODS Transdisciplinary Rese,
HDR-Harnessing the Data Revolu,
Human Networks & Data Sci Infr,
Methodology, Measuremt & Stats,
Cross-Directorate Activities,
Hydrologic Sciences,
Special Projects - CNS,
XC-Crosscutting Activities Pro,
CYBERINFRASTRUCTURE,
Info Integration & Informatics,
CZO-Critical Zone Obsrvatories
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
01002223DB NSF RESEARCH & RELATED ACTIVIT

01002324DB NSF RESEARCH & RELATED ACTIVIT

01002425DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 022Z, 054Z, 062Z, 107Z, 120Z, 5294, 6194, 7231, 8400, 9102
Program Element Code(s): 041Y00, 099Y00, 130Y00, 133300, 139700, 157900, 171400, 722200, 723100, 736400, 769300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049, 47.070, 47.075

ABSTRACT

This project establishes the Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE). In today?s interconnected world, disasters such as floods and droughts are rarely isolated events, and their cascading effects are often felt far beyond their locations of origin. I-GUIDE creates an integrative discovery environment that enables the harnessing of geospatial data for understanding interconnected interactions across diverse socioeconomic-environmental systems to enhance community resilience and environmental sustainability. I-GUIDE nurtures a diverse and inclusive geospatial discovery community across many disciplines by bridging disciplinary digital data divides with broader impacts amplified through a well-trained and diverse workforce and proactive engagement of minority and underrepresented groups. The project leverages existing collaborations with its diverse member and partner organizations, representing academic, governmental, and industrial institutions, thereby extending its reach across the U.S. and the globe. The influence of I-GUIDE?s new knowledge frontiers impact solutions to real-world problems and geospatial decisions, with significance ranging from the nation?s economic development to security. I-GUIDE builds upon relationships with the museum and informal science education communities as well as libraries and news media to raise public awareness about the contributions of the geospatial data revolution to society.

Globalization has intensified and extended the impacts of socioeconomic-environmental interactions across long distances, a process known as telecoupling. I-GUIDE?s integrative discovery environment is vital to transform innovative theories, concepts, methods, and tools focusing geospatial synthesis that drive novel capabilities for addressing scientific questions of how to harness geospatial data for multi-scale and telecoupling discoveries to enhance community resilience and environmental sustainability. Two substantive and convergent scientific problems are addressed: (1) Water security, to evaluate geospatial and socioeconomic impacts of hydroclimatic extremes that are related to environmental and infrastructure sustainability, and (2) Biodiversity and food security, to enhance basic understanding of biodiversity dynamics in the face of nearby and distant disasters, global changes, international trade, and dynamic land use transitions. Transformative geospatial understanding gained from solving these interrelated problems are translated into digital resources and tools made available online through an open I-GUIDE platform for a variety of educational and training activities to serve a broad and diverse audience. Through this platform, the next-generation workforce can acquire geospatial knowledge coupled with data-driven technological skills for decision-making and problem-solving experiences.

This project is part of the National Science Foundation's Big Idea activities in Harnessing the Data Revolution (HDR). The award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Behavioral and Cognitive Sciences, the Division of Social and Economic Sciences, and the Office of Multidisciplinary Activities within the Directorate for Social, Behavioral and Economic Sciences; the Division of Earth Sciences within the Directorate for Geosciences; the Division of Mathematical Sciences within the Directorate for Mathematical and Physical Sciences, and by the Division of Information and Intelligent Systems within the Directorate for Computer and Information Science and Engineering.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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An, Li and Liu, Jianguo and Zhang, Qi and Song, Conghe and Ezzine-de-Blas, Driss and Dai, Jie and Zhang, Huijie and Lewison, Rebecca and Bohnett, Eve and Stow, Douglas and Xu, Weihua and Bryan, Brett A "Global hidden spillover effects among concurrent green initiatives" Science of The Total Environment , v.917 , 2024 https://doi.org/10.1016/j.scitotenv.2024.169880 Citation Details
Baig, Furqan and Michels, Alexander and Xiao, Zimo and Han, Su Yeon and Padmanabhan, Anand and Li, Zhiyu and Wang, Shaowen "CyberGIS-Cloud: A unified middleware framework for cloud-based geospatial research and education" PEARC '22: Practice and Experience in Advanced Research Computing , 2022 https://doi.org/10.1145/3491418.3535148 Citation Details
Chai, Li and Liu, Ao and Li, Xuecao and Guo, Zhenshan and He, Wanru and Huang, Jianxi and Bai, Tiecheng and Liu, Jianguo "Telecoupled impacts of the RussiaUkraine war on global cropland expansion and biodiversity" Nature Sustainability , v.7 , 2024 https://doi.org/10.1038/s41893-024-01292-z Citation Details
Choi, Young-Don and Maghami, Iman and Goodall, Jonathan L and Band, Lawrence and Nassar, Ayman and Lin, Laurence and Saby, Linnea and Li, Zhiyu and Wang, Shaowen and Calloway, Chris and Yi, Hong and Seul, Martin and Ames, Daniel P and Tarboton, David G "Toward reproducible and interoperable environmental modeling: Integration of HydroShare with server-side methods for exposing large-extent spatial datasets to models" Environmental Modelling & Software , v.183 , 2025 https://doi.org/10.1016/j.envsoft.2024.106239 Citation Details
Choi, Young-Don and Roy, Binata and Nguyen, Jared and Ahmad, Raza and Maghami, Iman and Nassar, Ayman and Li, Zhiyu and Castronova, Anthony M. and Malik, Tanu and Wang, Shaowen and Goodall, Jonathan L. "Comparing containerization-based approaches for reproducible computational modeling of environmental systems" Environmental Modelling & Software , v.167 , 2023 https://doi.org/10.1016/j.envsoft.2023.105760 Citation Details
da Silva, Ramon Felipe Bicudo and Moran, Emilio F. and Millington, James D. A. and Viña, Andrés and Liu, Jianguo "Complex relationships between soybean trade destination and tropical deforestation" Scientific Reports , v.13 , 2023 https://doi.org/10.1038/s41598-023-38405-1 Citation Details
Filali_Boubrahimi, Soukaina and Neema, Ashit and Nassar, Ayman and Hosseinzadeh, Pouya and Hamdi, Shah Muhammad "Spatiotemporal Data Augmentation of MODISLandsat Water Bodies Using Adversarial Networks" Water Resources Research , v.60 , 2024 https://doi.org/10.1029/2023WR036342 Citation Details
Frans, Veronica_F and Liu, Jianguo "Gaps and opportunities in modelling human influence on species distributions in the Anthropocene" Nature Ecology & Evolution , v.8 , 2024 https://doi.org/10.1038/s41559-024-02435-3 Citation Details
Gupta, Abhinav and Govindaraju, Rao S. and Li, Pin-Ching and Merwade, Venkatesh "On constructing limits-of-acceptability in watershed hydrology using decision trees" Advances in Water Resources , v.178 , 2023 https://doi.org/10.1016/j.advwatres.2023.104486 Citation Details
Haqiqi, Iman and Bowling, Laura and Jame, Sadia and Baldos, Uris and Liu, Jing and Hertel, Thomas "Global drivers of local water stresses and global responses to local water policies in the United States" Environmental Research Letters , v.18 , 2023 https://doi.org/10.1088/1748-9326/acd269 Citation Details
Huang, Jiaxin and Meng, Yu and Han, Jiawei "Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation" KDD'22:The 28th {ACM} {SIGKDD} Conference on Knowledge Discovery and Data Mining, August 14-18, 2021 , v.2022 , 2022 https://doi.org/10.1145/3534678.3539443 Citation Details
(Showing: 1 - 10 of 36)

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