This program has been archived.
Directorate for Computer and Information Science and Engineering
Cyber-Innovation for Sustainability Science and Engineering (CyberSEES)
|Phillip Regaliaemail@example.com||(703) 292-8910|
|Todd Leenfirstname.lastname@example.org||(703) 292-8930|
|Weisong Shiemail@example.com||(703) 292-8950|
|Anita Nikolichfirstname.lastname@example.org||(703) 292-4551|
|Eva Zanzerkiaemail@example.com||(703) 292-4734|
|Bruce K. Hamiltonfirstname.lastname@example.org||(703) 292-8320|
|David Hauryemail@example.com||(703) 292-5102|
|Anne M. Magliafirstname.lastname@example.org||(703) 292-8470|
|Michael Steuerwaltemail@example.com||(703) 292-4860|
Important Information for Proposers
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 19-1), is effective for proposals submitted, or due, on or after February 25, 2019. Please be advised that, depending on the specified due date, the guidelines contained in NSF 19-1 may apply to proposals submitted in response to this funding opportunity.
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.