Last deadline was 10/30/17. This is a limited submission – updates will be posted here. The Brain Research Foundation Fay/Frank Seed Grant Program provides start-up monies for new research projects in the field of neuroscience that will likely lead to extramural funding from the National Institutes of Health (NIH) or other outside funding sources.
Last deadline was 11/6/17. We will post updates. The purpose of this solicitation is to invite research groups to submit requests for allocations of resources on the Blue Waters system. Proposers must show compelling science or engineering challenges that require petascale computing resources.
The Michigan Institute for Computational Discovery & Engineering (MICDE) seeks proposals for innovative research projects in computational science that combine elements of mathematics, computer science, and cyberinfrastructure.
Internal deadline was 1/15/18. Sponsor Deadline 4/20/2018. See this link for the internal submission guidelines and other information fro the University of Michigan Foundation’s office. In 1988, the Packard Foundation established the Packard Fellowships for Science and Engineering to allow the nationÕs most promising professors to pursue science and engineering research early in their careers with few funding restrictions and limited reporting requirements. It provides individual grants of $875,000 for 5 years. The program arose out of David PackardÕs commitment to strengthening university-based science and engineering programs in recognition that the success of the Hewlett-Packard Company, which he cofounded, derived in large measure from the research and development in university laboratories.
Last deadline was March 7, 2018. This CRISP 2.0 solicitation responds both to national needs on the resilience of critical infrastructures and to increasing NSF emphasis on transdisciplinary research. In this context, the solicitation is one element of the NSF-wide Risk and Resilience activity, with the overarching goal of advancing knowledge in support of improvement of the nationÕs infrastructure resilience. The devastating effects of recent disasters such as Hurricanes Harvey, Irma and Maria have underscored that a great deal remains to be done. In addition, CRISP 2.0 is aligned with the NSF-wide frontier thinking on convergence, characterized as Òdeep integration of knowledge, techniques, and expertise from multiple fields to form new and expanded frameworks for addressing scientific and societal challenges and opportunitiesÓ. The Directorate of Engineering and the Directorate of Social, Behavioral, and Economic Sciences therefore jointly invest in the CRISP 2.0 solicitation to stimulate the integration of engineering, and social, behavioral and economic sciences to foster new paradigms and domains in interdependent critical infrastructures.
This solicitation focuses upon the integration of the data and software elements of advanced cyberinfrastructure. By integrating two major and long-running NSF program solicitations [NSF 17-500: Data Infrastructure Building Blocks (DIBBs) and NSF 17-526: Software Infrastructure for Sustained Innovation (SI2)] under a single umbrella called Cyberinfrastructure for Sustained Scientific Innovation (CSSI), NSF seeks to enable funding opportunities that are flexible and responsive to the evolving and emerging needs in integrated data and software cyberinfrastructure.
Last deadline was 1/23/2019. Advancements in data-driven scientific research depend on trustworthy and reliable cyberinfrastructure. Researchers rely on a variety of networked technologies and software tools to achieve their scientific goals. These may include local or remote instruments, wireless sensors, software programs, operating systems, database servers, high-performance computing, large-scale storage, and other critical infrastructure connected by high-speed networking. This complex, distributed, interconnected global cyberinfrastructure ecosystem presents unique cybersecurity challenges. NSF-funded scientific instruments, sensors and equipment are specialized, highly-visible assets that present attractive targets for both unintentional errors and malicious activity; untrustworthy software or a loss of integrity of the data collected by a scientific instrument may mean corrupt, skewed or incomplete results._
The former STEM+C Track 2 categories for funding, Computing Education Knowledge and Capacity Building and Research on Education and Broadening Participation, have been removed from the current solicitation and incorporated into the Computer Science for All solicitation.