In response to unprecedented changes within federal research sponsorship, the University of Delaware Research Office and the Office of the Provost are making resources available to enable the continuity of faculty research programs. This program consists of two award types: Research Continuity Awards and Graduate Bridge Fund Awards, providing support to UD researchers who have experienced terminated awards or significantly delayed funding decisions. The Research Office will provide eligible faculty up to $25,000 in direct research support thorough a Research Continuity Award. The Office of the Provost and UD Graduate College will provide outstanding Ph.D. students up to one year of graduate stipend and tuition support through a Graduate Bridge Fund Award ($36,000 stipend, up to 9 credit hours of tuition for one student). If a delayed funding notification is lifted or a terminated award is reinstated within six months of receiving an award from either of these programs research expenses and graduate support should immediately transfer to the new federal award ending support from these programs. Review of the two award programs (Research Continuity and Graduate Bridge) will be separate but will inform one another in the decision-making process. Faculty may apply for one or both programs within the same application.
The Humanities Research Centers on Artificial Intelligence program will create new centers of scholarly discourse and learning, each one a nexus for collaborative efforts that reach across disciplinary lines to gain a more holistic understanding of AI in the modern world and especially its implications for the United States. Applicants must propose to create a center with a specific research focus related to the social and cultural aspects of AI and how such knowledge can improve and advance our nation’s leadership position in AI. A center is a sustained collaboration among multiple scholars focused on exploring the humanities implications of AI through two or more related scholarly activities. Competitive centers typically identify a specific topical, methodological, or disciplinary lens through which though which to study AI and its societal implications. NEH is particularly interested in projects that explore the ramifications of AI for the nation, including its economic competitiveness and national security as well as civil rights, civil liberties, privacy, and human flourishing. Centers should aim to advance humanities research on their chosen topic beyond the grant period. NEH is particularly interested in projects that explore the impacts of AI-related technologies for the nation’s values, including civil rights, civil liberties, privacy, and human flourishing, as well as on America’s economic competitiveness and national security.
The Test Bed: Toward a Network of Programmable Cloud Laboratories (PCL Test Bed) program seeks to establish and facilitate the operation of distributed autonomous laboratory facilities. These laboratories will combine technological and human capacity to enable integration, testing, evaluation, validation, and translation of cutting-edge technology solutions in automated science and engineering. The PCL Test Bed will consist of a set of Programmable Cloud Laboratory Nodes (PCL Nodes) that can be remotely accessed to run custom workflows specified and programmed by users, that are linked together via computational networking, shared science questions, and data and artificial intelligence (AI) standards. User Recruitment and On-Boarding Workshops will be a key component of the PCL Test Bed program and will serve to recruit users to individual PCL Nodes and the Test Bed to help make progress on the proposed science drivers, provide access to technology, test the limits of the experimental set-up of the nodes, and explore new research opportunities between the PCL Nodes and institutions. The PCL Test Bed will be available to researchers in academia as well as industry, including current and former awardees from the Small Business Innovation Research/Small Business Technology Transfer (SBIR/STTR) programs.
Brain Research Foundation’s Annual Seed Grant Program was initiated in 1981. The program's purpose is to provide 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. The objective of the BRF Seed Grant Program is to support new and innovative projects, especially those of junior faculty, who are working in new research directions. The grant proposal must detail a new research project that is not funded by other sources.
The Camille Dreyfus Teacher-Scholar Awards Program supports the research and teaching careers of talented young faculty in the chemical sciences. Based on institutional nominations, the program provides discretionary funding to faculty at an early stage in their careers. The Foundation seeks Camille Dreyfus Teacher-Scholars who demonstrate leadership in research and education. Nominations must provide compelling evidence of the advance of important knowledge in the chemical sciences (including chemistry, biochemistry, materials chemistry, and chemical engineering ) by the nominee. Further, the nomination should describe dedication and contributions to education in the chemical sciences, particularly with respect to undergraduates.
To respond to the growing threats to the safety, security, and privacy of open-source ecosystems (OSEs), NSF is launching the Safety, Security, and Privacy for Open-Source Ecosystems (Safe-OSE) program. This program solicits proposals from OSEs, including those not originally funded by NSF's Pathways to Enable Open-Source Ecosystems (POSE) program, to address significant safety, security, and/or privacy vulnerabilities, both technical (e.g., vulnerabilities in code and sidechannels) and socio-technical (e.g., supply chain, insider threats, and social engineering). Safe-OSE applies to any type of OSE, including those based on scientific methodologies, models, and processes; manufacturing processes and process specifications; materials formulations; programming languages and formats; hardware instruction sets; system designs or specifications; and data platforms. The goal of the Safe-OSE program is to catalyze meaningful improvements in the safety, security, and privacy of the targeted OSE that the OSE does not currently have the resources to undertake. Funds from this program should be directed toward efforts to enhance the safety, security, and privacy characteristics of the opensource product and its supply chain as well as to bolster the ecosystem's capabilities for managing current and future risks, attacks, breaches, and responses.