Simons Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning (MoDL)

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The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and the Simons Foundation Division of Mathematics and Physical Sciences will jointly sponsor up to two new research collaborations consisting of mathematicians, statisticians, electrical engineers, and theoretical computer scientists. Research activities will be focused on explicit topics involving some of the most challenging questions in the general area of Mathematical and Scientific Foundations of Deep Learning. Letter of Intent is required and was due 3/27/2020.

Smart and Connected Communities (S&CC)

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The goal of the NSF Smart and Connected Communities (S&CC) program solicitation is to accelerate the creation of the scientific and engineering foundations that will enable smart and connected communities to bring about new levels of economic opportunity and growth, safety and security, health and wellness, and overall quality of life.

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.

Multidisciplinary University Research Initiatives (MURI) Program

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Last LOI was due 6/03/19. Full proposals are due on October 16, 2018. Multidisciplinary University Initiative (MURI) efforts involve teams of researchers investigating high priority topics and opportunities that intersect more than one traditional technical discipline. For many military problems this multidisciplinary approach serves to stimulate innovations, accelerate research progress and expedite transition of results into naval applications.

Fellowship Awards

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Internal is around January. 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.

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._

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.

Training-based Workforce Development for Advanced Cyberinfrastructure

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The overarching goal of this program is to prepare, nurture and grow the national scientific workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) that enables cutting-edge science and engineering and contributes to the Nation’s overall economic competitiveness and security._ This solicitation calls for developing innovative, scalable training programs to address the emerging needs and unresolved bottlenecks in scientific and engineering workforce development of targeted, multidisciplinary communities, at the postsecondary level and beyond, leading to transformative changes in the state of workforce preparedness for advanced CI in the short and long terms. Webinar slides here https://www.nsf.gov/events/event_summ.jsp?cntn_id=190179&org=CISE