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This program has been archived.


Cyber-Innovation for Sustainability Science and Engineering  (CyberSEES)


CONTACTS
Name Email Phone Room
Phillip  Regalia pregalia@nsf.gov (703) 292-8910   
Todd  Leen tleen@nsf.gov (703) 292-8930   
Weisong  Shi wshi@nsf.gov (703) 292-8950   
Anita  Nikolich anikolic@nsf.gov (703) 292-4551   
Eva  Zanzerkia ezanzerk@nsf.gov (703) 292-4734   
Bruce  K. Hamilton bhamilto@nsf.gov (703) 292-8320   
David  Haury dhaury@nsf.gov (703) 292-5102   
Anne  M. Maglia amaglia@nsf.gov (703) 292-8470   
Michael  Steuerwalt msteuerw@nsf.gov (703) 292-4860   


PROGRAM GUIDELINES

Solicitation  15-524

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 22-1), is effective for proposals submitted, or due, on or after October 4, 2021. Please be advised that, depending on the specified due date, the guidelines contained in NSF 22-1 may apply to proposals submitted in response to this funding opportunity.


DUE DATES

Archived


SYNOPSIS

The Cyber-Innovation for Sustainability Science and Engineering (CyberSEES) program aims to advance interdisciplinary research in which the science and engineering of sustainability are enabled by new advances in computing, and in which computational innovation is grounded in the context of sustainability problems.

The CyberSEES program is one component of the National Science Foundation's Science, Engineering, and Education for Sustainability (SEES) activities, a Foundation-wide effort aimed at addressing the challenge of sustainability through support for interdisciplinary research and education. In the SEES context, a sustainable world is one where human needs are met equitably without harm to the environment or sacrificing the ability of future generations to meet their own needs.

Computational approaches play a central role in understanding and advancing sustainability. CyberSEES supports research on topics that depend on advances in computational areas including optimization, modeling, simulation, prediction and inference; large-scale data management and analytics; advanced sensing techniques; human computer interaction and social computing; infrastructure design, control and management; and intelligent systems and decision-making. Additionally, the widespread, intensive use of computing technologies also introduces sustainability challenges and motivates new approaches across the lifecycle of technology design and use.


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