Explore ARCExplore ARC

Catalyst Grants

By | | No Comments

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

By | | No Comments

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)

By | | No Comments

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.

Fellowship Awards

By | | No Comments

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.

Smart and Autonomous Systems (S&AS)

By | | No Comments

The Smart and Autonomous Systems (S&AS) program focuses on Intelligent Physical Systems (IPS) that are capable of robust, long-term autonomy requiring minimal or no human operator intervention in the face of uncertain, unanticipated, and dynamically changing situations. IPS are systems that combine perception, cognition, communication, and actuation to operate in the physical world. Examples include, but are not limited to, robotic platforms, self-driving vehicles, underwater exploration vehicles, and smart grids.

Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP 2.0)

By | | No Comments

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.

Cybersecurity Innovation for Cyberinfrastructure (CICI)

By | | No Comments

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._

Mathematical Sciences Innovation Incubator (MSII)

By | | No Comments

The MSII program from NSF is meant to encourage new research collaborations between mathematical scientists and scientists from other disciplines working in NSF-supported research areas of high national priority. The program facilitates the co-review and co-funding of collaborative research projects by the NSFs Division of the Mathematical Sciences (DMS) by: providing leverage for investments of non-DMS programs that include mathematical scientists; and providing a mechanism to request DMS co-review in interdisciplinary research teams.