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Computer and Information Science and Engineering Research Initiation Initiative (CISE-CRII)

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With the goal of encouraging research independence immediately upon obtaining one’s first academic position after receipt of the PhD, the Directorate for Computer and Information Science and Engineering (CISE) will award grants to initiate the course of one’s independent research. Understanding the critical role of establishing that independence early in one’s career, it is expected that funds will be used to support untenured faculty or research scientists (or equivalent) in their first three years in a primary academic position after the PhD, but not more than a total of five years after completion of their PhD.

U-M Automotive Research Center

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Last deadline was 10/16/17. We will post any follow up here. The Automotive Research Center is a U.S. Army Center for Excellence for modeling and simulation of ground vehicles led by the University of Michigan. The center is soliciting proposals for new or continuing work with a start date in 2018. These are single proposal with one PI who is responsible for project funds and reporting requirements.

Fay/Frank Seed Grant Program 2018

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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.

Petascale Computing Resource Allocations (PRAC)

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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.

Fellowship Awards

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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 nation’s 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 Packard’s 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.

Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP 2.0)

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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 nation’s 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 “deep integration of knowledge, techniques, and expertise from multiple fields to form new and expanded frameworks for addressing scientific and societal challenges and opportunities”. 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.

Cybersecurity Innovation for Cyberinfrastructure (CICI)

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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._

Catalyst Grants

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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.

Cyberinfrastructure for Sustained Scientific Innovation (CSSI) – Data and Software: Elements and Frameworks

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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.

Harnessing the Data Revolution (HDR): Institutes for Data-Intensive Research in Science and Engineering – Frameworks (I-DIRSE-FW)

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The HDR Institutes activity seeks to create an integrated fabric of interrelated institutes that can accelerate discovery and innovation in multiple areas of data-intensive science and engineering. The HDR Institutes will achieve this by harnessing diverse data sources and developing and applying new methodologies, technologies, and infrastructure for data management and analysis. The HDR Institutes will support convergence between science and engineering research communities as well as expertise in data science foundations, systems, applications, and cyberinfrastructure. In addition, the HDR Institutes will enable breakthroughs in science and engineering through collaborative, co-designed programs to formulate innovative data-intensive approaches to address critical national challenges.