Current Open Solicitations
Below is a selection of current open solicitation calls of relevance to areas of research in the Department.
Principles for the Design of Digital STEM Learning Environments Due to OSR January 15th
NSF Cyberlearning for Work at the Human-Technology Frontier Due to OSR January 2nd
NSF CISE Scalable Parallelism in the Extreme (SPX) Due to OSR January 2nd
Young Investigator Funding Opportunities – A regularly updated list of opportunities for young researchers maintained by UC San Diego. Please contact Dief or Shannon for assistance with any of the programs listed at this site.
Research Experiences for Undergraduates (REU) Supplemental Funding
The NSF Directorate for Computer and Information Science and Engineering (CISE) invites grantees with active CISE awards to submit requests for Research Experiences for Undergraduates (REU) Supplemental funding. A student must be a US citizen or permanent resident of the US. The duration for new requests is typically one year. The proposed start date for a supplement must be after the conclusion of all existing REU supplements on the corresponding active CISE award. Priority will be given to requests submitted before March 30, 2018; the potential for funding requests after this date will be limited. If requests for REU supplemental support exceed funds available in CISE, requests will be considered in the order received. REU supplemental funds can be used at any time during the year.
REU stipend support helps retain talented students, while providing meaningful research experiences and encouraging research-based careers. The participation of students from groups underrepresented in computing — underrepresented minorities, women, and persons with disabilities — is strongly encouraged. To this end, principal investigators (PIs) submitting REU supplemental funding requests are directed to the recent CISE Dear Colleague Letter encouraging meaningful actions in support of broadening participation in computing [see Pursuing Meaningful Actions in Support of Broadening Participation in Computing (BPC); NSF 17-110]. In addition, CISE encourages REU supplements that specifically afford US veterans an opportunity to engage in meaningful research experiences.
Investigators are encouraged to refer to the REU program solicitation (NSF 13-542) for detailed information concerning submission requirements. As described above and in that solicitation, REU supplemental proposals should include:
- A description of the research to be performed by the student, and how the student will benefit from the overall REU experience;
- The PI’s prior experience, if any, supervising REU students, including papers published and student placements;
- The relationship of the REU supplemental proposal to the original award;
- Information about how students, including from underrepresented groups, will be recruited; and
- A statement acknowledging that all students to be funded will be US citizens or permanent residents of the US.
Since supplemental funds requests are handled by the cognizant program officer overseeing the active award requesting the supplement, grantees should contact the cognizant program officers of their awards if they have questions or need additional information.
Office of Research Development Internal Deadline October 17th, 2017
The National Science Foundation’s (NSF) Directorates for Education and Human Resources (EHR) and Computer and Information Science and Engineering (CISE) wish to notify the community of their intention to fund research to support the design of the next generation of digital learning environments for science, technology, engineering, and mathematics (STEM) content, and in support of STEM education research more broadly. As an important first step in this direction, this DCL encourages a series of synthesis, integration, and design workshops.
This DCL echoes themes that are also important to NSF’s long-running Cyberlearning for Work at the Human-Technology Frontier (Cyberlearning) program, which encourages exploratory research in learning technologies to prepare learners to excel in future work at the human-technology frontier.
NSF challenges interdisciplinary science and engineering teams to produce plans for developing forward-looking, highly adaptable, distributed digital environments that can personalize learning for individual, diverse learners in collaborative settings with potential applications across multiple and varying: (a) domains of knowledge, (b) learning contexts (including formal and informal education), and (c) time spans.
Next-generation learning architectures should significantly surpass: (a) learning management systems (LMS) or massively open online courses (MOOCs) that primarily organize, coordinate, and deliver resources (e.g., syllabi, video clips, quizzes); (b) intelligent tutoring systems (ITS) and related activities that narrowly scope learning tasks; and (c) non-adaptive education environments in general.
NSF anticipates funding up to 9 synthesis and design workshops for up to $100,000 each for one year of support.
A competitive workshop proposal should evidence a deep understanding of the theme of the proposed workshop (sample themes are provided below). The PI should propose a diverse interdisciplinary team with clear potential to: (a) describe the proposed perspective(s); (b) engage innovative design thinking to outline blueprint designs for a future learning environment; and (c) describe any potential theoretical, methodological or programming obstacles that are likely to require further research and development.
Workshop proposals Due to OSR by January 15, 2018.
NIH Standard Programs
NIH standard programs have three application deadlines per year. These NIH deadlines are indicated at the link below (note that closing date for OSR is one week prior). Additional Request for Applications (RFA) have separate deadlines, and appear on this page when available.
NSF Division of Civil, Mechanical and Manufacturing Innovation (CMMI) Programs
CMMI programs generally have due dates in January and September, although some programs accept proposals at any time. Many of these programs have a strong complementary computational component. All programs are listed at the link below.
NSF Cyberlearning for Work at the Human-Technology Frontier
The purpose of the Cyberlearning for Work at the Human-Technology Frontier program is to fund exploratory and synergistic research in learning technologies to prepare learners to excel in work at the human-technology frontier. This program responds to the pressing societal need to educate and re-educate learners of all ages (students, teachers and workers) in science, technology, engineering, and mathematics (STEM) content areas to ultimately function in highly technological environments, including in collaboration with intelligent systems. Innovative technologies can reshape learning processes, which in turn can influence new technology design. Learning technology research in this program should be informed by the convergence of multiple disciplines: education and learning sciences, computer and information science and engineering, and cognitive, behavioral and social sciences. This program funds learning technology research in STEM and other foundational areas that enable STEM learning.
Proposals due to OSR January 2nd, 2018
NSF CISE Scalable Parallelism in the Extreme (SPX)
The SPX program aims to support transformative projects to re-evaluate and possibly re-design the traditional computer hardware and software stack for today’s heterogeneous, parallel, concurrent, and distributed systems. Thus, SPX seeks collaborations combining, for example, a deep understanding in parallel programming with expertise in software tools; experience in heterogeneous parallel architectures with algorithm design expertise; experience and discovery in emerging substrate technologies with architecture and systems design; knowledge in an application domain with expertise in energy-efficient memory hierarchies; hardware design know-how with human factors expertise; experience in runtime platforms and virtualization tools with knowledge in reliable and distributed computing; and experience in parallel data management with knowledge of parallel linear algebra or statistical algorithms. The program also seeks collaborations that integrate the many different techniques for the analysis and modeling of resources (such as time, memory, and energy) in various areas such as theory, uncertainty quantification, software systems, distributed systems, and programming languages, to create more predictable performance and scalable implementations of software systems, and more efficient ways of distributing workloads over available computing resources. To increase symbiosis between theory and practice, SPX supports research that aims to extract general principles that can be validated on a variety of application domains. In some cases, research may also generate technologies with the potential to be incorporated into innovative applications, tools, products, and cyberinfrastructures that support research in other scientific domains.
Proposals due to OSR January 2nd, 2018