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This solicitation addresses the overlapping objectives of theNational Space Weather Strategy and Action Plan(NSW-SAP) and theNational Strategic Computing Initiative(NSCI) Update through a pilot program. The goal of this pilot program is to transform development of predictive modeling of the coupled evolution of the magnetized solar atmosphere and the solar wind, and their interaction with the Earth's magnetosphere and upper atmosphere. This requires advancing our understanding of the necessary and sufficient requirements of model complexity, computational performance, and observational inputs. The pilot program is also expected to directly contribute to the long-term goal of creating space weather models with quantifiable predictive capability.

The program supports four main research themes that are envisioned to advance the goal of ubiquitous co-robots:scalability,customizability,lowering barriers to entry, andsocietal impact,includinghuman safety. Topics addressingscalabilityinclude how robots can collaborate effectively with orders of magnitude more humans or other robots than is handled by the current state of the art; how robots can perceive, plan, act, and learn in uncertain, real-world environments, especially in a distributed fashion; and how to facilitate large-scale, safe, robust and reliable operation of robots in complex environments.Customizabilityincludes how to enable co-robots to adapt to specific different tasks, environments, or people, with minimal modification to hardware and software; how robots can personalize their interactions with people; and how robots can communicate naturally with humans, both verbally and non-verbally. Topics inlowering barriers to entryshould focus on lowering the barriers for conducting fundamental roboticsresearchand research on integrated robotics application. This may include development of open-source co-robot hardware and software, as well as widely-accessible testbeds. Outreach or using robots in educational programs do not, by themselves, lower the barriers to entry for robotics research. Topics insocietal impactinclude fundamental research to establish and infuse robotics into educational curricula, advance the robotics workforce through education pathways, and explore the social, economic, ethical, security, and legal implications of our future with ubiquitous collaborative robots.

ecoTech™ Grants were created to combat the notion that students needed to choose between "the screen" or "the green" and to encourage educators and students to explore the role technology can play in designing and implementing solutions to some of our most pressing environmental challenges. We believe that technology can present innovative ways to address environmental challenges - and that when dealing with digital natives, we do ourselves a disservice by asking them to unplug.

The Faculty Early Career Development (CAREER) Program is a Foundation-wide activity that offers the National Science Foundation's most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization. Activities pursued by early-career faculty should build a firm foundation for a lifetime of leadership in integrating education and research. NSF encourages submission of CAREER proposals from early-career faculty at all CAREER-eligible organizations and especially encourages women, members of underrepresented minority groups, and persons with disabilities to apply.

The program supports four main research themes that are envisioned to advance the goal of ubiquitous co-robots: scalability, customizability, lowering barriers to entry, and societal impact, including human safety. Topics addressing scalability include how robots can collaborate effectively with orders of magnitude more humans or other robots than is handled by the current state of the art; how robots can perceive, plan, act, and learn in uncertain, real-world environments, especially in a distributed fashion; and how to facilitate large-scale, safe, robust and reliable operation of robots in complex environments. Customizability includes how to enable co-robots to adapt to specific different tasks, environments, or people, with minimal modification to hardware and software; how robots can personalize their interactions with people; and how robots can communicate naturally with humans, both verbally and non-verbally. Topics in lowering barriers to entry should focus on lowering the barriers for conducting fundamental robotics research and research on integrated robotics application.

Licensing, product acquisition, proof of concept leading to scale-up to manufacturing, joint development, supplier agreement

This Funding Opportunity Announcement (FOA) invites applications to conduct new research on automobile technology for signaling early signs of cognitive impairment in older drivers.

A recent report suggests that more than 50 percent of domestic practicing physicians experience burnout. Due to the extremely stressful work environment, patient population, and 24/7 operations with irregular work hours in emergency departments (EDs), ED physicians experience an even higher prevalence of burnout, with up to 65 percent of physicians and residents meeting criteria for burnout. The Reducing Burnout through Emergency Department Design RPF seeks proposals with the potential to reimagine how academic medical center emergency departments are designed by sparking innovation in an environment that has remained largely unchanged for decades. Through the RFP, a single grant of $40,000 will be awarded in support of research that investigates how the design of emergency department environments in academic medical centers impacts physician and resident burnout. Interdisciplinary collaboration is strongly encouraged.

This program aims to provide all U.S. students with the opportunity to participate in computer science (CS) and computational thinking (CT) education in their schools at the preK-12 levels. With this solicitation, the National Science Foundation (NSF) focuses on both research and researcher-practitioner partnerships (RPPs) that foster the research and development needed to bring CS and CT to all schools. Specifically, this solicitation aims to provide (1) high school teacherswith the preparation, professional development (PD) and ongoing support they need to teach rigorous computer science courses; (2) preK-8 teachers with the instructional materials and preparation they need to integrate CS and CT into their teaching; and (3) schools and districtswith the resources needed to define and evaluate multi-grade pathways in CS and CT.

A key focus of the design of modern computing systems is performance and scalability, particularly in light of the limits of Moore's Law and Dennard scaling. To this end, systems are increasingly being implemented by composingheterogeneous computing componentsand continually changing memory systems as novel, performant hardware surfaces. Applications fueled by rapid stridesin machine learning, data analysis, and extreme-scale simulation are becoming more domain-specific and highly distributed. In this scenario, traditional boundaries between hardware-oriented and software-oriented disciplines increasingly are blurred.

Artificial Intelligence (AI) has advanced tremendously and today promises personalized healthcare; enhanced national security; improved transportation; and more effective education, to name just a few benefits. Increased computing power, the availability of large datasets and streaming data, and algorithmic advances in machine learning (ML) have made it possible for AI development to create new sectors of the economy and revitalize industries. Continued advancement, enabled by sustained federal investment and channeled toward issues of national importance, holds the potential for further economic impact and quality-of-life improvements.

This program will increase technological investigative capacity and associated training for law enforcement and prosecutorial agencies. This solicitation will particularly focus on supporting the development, refinement, and advancement of widely used investigative tools, methods and technologies that address child pornography, exploitation and sex trafficking.

The purpose of this Funding Opportunity Announcement (FOA) is to build upon the work that has begun under previous FOA RFA-TR-17-007 "NCATS Pilot Program for Collaborative Drug Discovery Research Using Bioprinted Skin Tissue" and utilize physiologically relevant and validated 3-D biofabricated skin disease tissue models in multi-well drug screening platforms. The FOA will support intramural- extramural collaborations to implement the use of 3-D biofabricated skin tissue models and provide evidence of success for 3-D drug screening platforms.

NSF has long supported transformative research in artificial intelligence (AI) and machine learning (ML). The resulting innovations offer new levels of economic opportunity and growth, safety and security, and health and wellness. At the same time, broad acceptance of large-scale deployments of AI systems relies critically on their trustworthiness which, in turn, depends upon the collective ability to ensure, assess, and ultimately demonstrate the fairness, transparency, explainability, and accountability of such systems. Importantly, the beneficial effects of AI systems should be broadly available across all segments of society. NSF and Amazon are partnering to jointly support computational research focused on fairness in AI, with the goal of contributing to trustworthy AI systems that are readily accepted and deployed to tackle grand challenges facing society. Specific topics of interest include, but are not limited to transparency, explainability, accountability, potential adverse biases and effects, mitigation strategies, validation of fairness, and considerations of inclusivity. Funded projects will enable broadened acceptance of AI systems, helping the U.S. further capitalize on the potential of AI technologies. Although Amazon provides partial funding for this program, it will not play a role in the selection of proposals for award.

DMREF will support activities that significantly accelerate materials discovery and development by building the fundamental knowledge base needed to advance the design and development of materials with desirable properties or functionality. This will be accomplished through forming interdisciplinary teams of researchers working synergistically in a "closed loop" fashion, building a vibrant research community, leveraging data science, providing ready access to materials data, and educating the future MGI workforce. Achieving this goal could involve some combination of: strategies to advance materials design through testing methodology; theory, modeling, and simulation to predict behavior or assist in analysis of multidimensional input data; and validation through synthesis, growth, processing, characterization, and/or device demonstration.