US Codex
U.S.C.
Notes

§18901. Definitions — Inbound Citations

42 U.S.C. § 18901

Cited by 1034 provisions in release 119-102.

Citations to §18901(1)

  • (b) The Director shall carry out research and testing to improve the effectiveness of artificial intelligence-enabled cybersecurity, including by generating optimized data sets to train artificial intelligence defense systems and evaluating the performance of varying network architectures at strengthening network security.
  • The Director shall continue to support the development of artificial intelligence and data science, and carry out the activities of the National Artificial Intelligence Initiative Act of 2020 authorized in division E of the National Defense Authorization Act for Fiscal Year 2021 (Public Law 116–283), including through—
  • (2) supporting measurement research and development for advanced computer chips and hardware designed for artificial intelligence systems;
  • (3) supporting the development of technical standards and guidelines that promote safe and trustworthy artificial intelligence systems, such as enhancing the accuracy, explainability, privacy, reliability, robustness, safety, security, and mitigation of harmful bias in artificial intelligence systems;
  • (4) creating a framework for managing risks associated with artificial intelligence systems; and
  • (5) developing and publishing cybersecurity tools, encryption methods, and best practices for artificial intelligence and data science.
  • (2) Not later than 1 year after August 9, 2022, the Director, in coordination with the Office of Personnel Management, shall submit to the Committee on Commerce, Science, and Transportation of the Senate, the Committee on Science, Space, and Technology of the House of Representatives, the Committee on Homeland Security and Governmental Affairs of the Senate, and the Committee on Oversight and Reform of the House of Representatives a report on the need and feasibility, and if appropriate, plans to implement a program to recruit and train the next generation of artificial intelligence professionals to meet the needs of Federal, State, local, and Tribal governments. The report shall include—
    (A) recent statistical data on the size, composition, and educational requirements of the Federal AI workforce, including an assessment of current and future demand for additional AI professionals across the Federal Government;
    (B) an assessment of the capacity of institutions of higher education to produce graduates with degrees, certifications, and relevant skills related to artificial intelligence that meet the current and future needs of the Federal workforce; and
    (C) an evaluation of the need for and feasibility of establishing a scholarship-for-service program to recruit and train the next generation of artificial intelligence professionals to meet the needs of Federal, State, local, and Tribal governments, including opportunities for leveraging existing processes and resources for administering the Federal Cyber Scholarship-for-Service Program established under section 7442 of title 15 in standing up such a program.
  • (A) recent statistical data on the size, composition, and educational requirements of the Federal AI workforce, including an assessment of current and future demand for additional AI professionals across the Federal Government;
  • (B) an assessment of the capacity of institutions of higher education to produce graduates with degrees, certifications, and relevant skills related to artificial intelligence that meet the current and future needs of the Federal workforce; and
  • (C) an evaluation of the need for and feasibility of establishing a scholarship-for-service program to recruit and train the next generation of artificial intelligence professionals to meet the needs of Federal, State, local, and Tribal governments, including opportunities for leveraging existing processes and resources for administering the Federal Cyber Scholarship-for-Service Program established under section 7442 of title 15 in standing up such a program.
  • (3) Upon submitting the report required in paragraph (2), the Director, in coordination with the Director of the Office of Personnel Management, the Director of the National Institute of Standards and Technology, and the heads of other agencies with appropriate scientific knowledge, is authorized to establish a Federal artificial intelligence scholarship-for-service program (referred to in this section as the Federal AI Scholarship-for-Service Program) to recruit and train artificial intelligence professionals to lead and support the application of artificial intelligence to the missions of Federal, State, local, and Tribal governments.
  • (4) The Director, in coordination with the heads of other agencies with appropriate scientific knowledge, shall establish criteria to designate qualified institutions of higher education that shall be eligible to participate in the Federal AI Scholarship-for-Service program. Such criteria shall include—
    (A) measures of the institution’s demonstrated excellence in the education of students in the field of artificial intelligence; and
    (B) measures of the institution’s ability to attract and retain a diverse and nontraditional student population in the fields of science, technology, engineering, and mathematics, which may include the ability to attract women, minorities, and individuals with disabilities.
  • (A) measures of the institution’s demonstrated excellence in the education of students in the field of artificial intelligence; and
  • (5) The Federal AI Scholarship-for-Service Program shall—
    (A) provide scholarships through qualified institutions of higher education to students who are enrolled in programs of study at institutions of higher education leading to degrees or concentrations in or related to the artificial intelligence field;
    (B) provide the scholarship recipients with summer internship opportunities or other meaningful temporary appointments in the Federal workforce focusing on AI projects or research;
    (C) prioritize the employment placement of scholarship recipients in executive agencies;
    (D) identify opportunities to promote multi-disciplinary programs of study that integrate basic or advanced AI training with other fields of study, including those that address the social, economic, legal, and ethical implications of human interaction with AI systems;
    (E) support capacity-building education research programs that will enable postsecondary educational institutions to expand their ability to train the next-generation AI workforce, including AI researchers and practitioners;
    (F) create courses or training programs in technology ethics for students receiving scholarships; and
    (G) award fellowships to masters and doctoral students who are pursuing degrees or research in artificial intelligence and related fields, including in the field of technology ethics.
  • (A) provide scholarships through qualified institutions of higher education to students who are enrolled in programs of study at institutions of higher education leading to degrees or concentrations in or related to the artificial intelligence field;
  • (B) provide the scholarship recipients with summer internship opportunities or other meaningful temporary appointments in the Federal workforce focusing on AI projects or research;
  • (D) identify opportunities to promote multi-disciplinary programs of study that integrate basic or advanced AI training with other fields of study, including those that address the social, economic, legal, and ethical implications of human interaction with AI systems;
  • (E) support capacity-building education research programs that will enable postsecondary educational institutions to expand their ability to train the next-generation AI workforce, including AI researchers and practitioners;
  • (G) award fellowships to masters and doctoral students who are pursuing degrees or research in artificial intelligence and related fields, including in the field of technology ethics.
  • (7) Each scholarship recipient, as a condition of receiving a scholarship under the program, shall enter into an agreement under which the recipient agrees to work for a period equal to the length of the scholarship, following receipt of the student’s degree, in the AI mission of—
    (A) an executive agency;
    (B) Congress, including any agency, entity, office, or commission established in the legislative branch;
    (C) an interstate agency;
    (D) a State, local, or Tribal government, which may include instruction in AI-related skill sets in a public school system; or
    (E) a State, local, or Tribal government-affiliated nonprofit entity that is considered to be critical infrastructure (as defined in section 5195c(e) of this title).
  • (D) a State, local, or Tribal government, which may include instruction in AI-related skill sets in a public school system; or
  • (B) demonstrate a commitment to a career in advancing the field of AI;
  • (iii) an AI faculty member on sabbatical to advance knowledge in the field; and
  • (A) The Director, in coordination with the Director of the Office of Personnel Management, shall annually evaluate and make public, in a manner that protects the personally identifiable information of scholarship recipients, information on the success of recruiting individuals for scholarships under this section and on hiring and retaining those individuals in the public sector AI workforce, including information on—
    (i) placement rates;
    (ii) where students are placed, including job titles and descriptions;
    (iii) salary ranges for students not released from obligations under this section;
    (iv) how long after graduation students are placed;
    (v) how long students stay in the positions they enter upon graduation;
    (vi) how many students are released from obligations; and
    (vii) what, if any, remedial training is required.
  • (B) The Director, in coordination with the Office of Personnel Management, shall submit, not less frequently than once every 3 years, to the Committee on Homeland Security and Governmental Affairs of the Senate, the Committee on Commerce, Science, and Transportation of the Senate, the Committee on Science, Space, and Technology of the House of Representatives, and the Committee on Oversight and Reform of the House of Representatives a report, including the results of the evaluation under subparagraph (A) and any recent statistics regarding the size, composition, and educational requirements of the Federal AI workforce.
  • (i) searchable, up-to-date, and accurate information about participating institutions of higher education and job opportunities related to the AI field; and
  • (ii) a modernized description of AI careers.
  • (17) Not less than once every 2 years, the Director, in coordination with the Director of the Office of Personnel Management, shall review and update the Federal AI Scholarship-for-Service Program to reflect advances in technology.
  • The Director shall make awards on a competitive basis to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to advance knowledge of risk assessment and predictability and to support the creation of tools and technologies, including advancing data analytics and utilization of artificial intelligence, for increased resilience through—
  • (D) examining the application of artificial intelligence for geological exploration of critical minerals, including what size and diversity of data sets would be required;
  • (1) Artificial intelligence, machine learning, autonomy, and related advances.
  • (C) Support for the development of computational tools, including artificial intelligence tools, that can accelerate research and innovation using such databases.
  • (iii) methods for leveraging advanced simulation and artificial intelligence to enhance codesign and discovery in microelectronics;
  • (D) advancing knowledge and experimental capabilities in surface and materials science, plasma science, and computational and theoretical methods, including artificial intelligence, multiscale codesign, and advanced supercomputing capabilities to invent and manufacture revolutionary microelectronic devices;

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  • (c) As appropriate, each pilot program under this section shall work to reduce administrative burdens for recipients and award personnel.
  • (a) The Director of the Office of Science and Technology Policy, acting through the National Science and Technology Council, shall establish or designate an interagency working group for the purpose of coordinating Federal research agency efforts to reduce the prevalence of sex-based and sexual harassment involving award personnel. In coordination with the working group on inclusion in STEM fields established under section 6626 of this title and the Safe Inclusive Research Environments Subcommittee of the National Science and Technology Council, and in consultation with representatives from each Federal research agency, the Office for Civil Rights at the Department of Health and Human Services, the Office for Civil Rights at the Department of Education, and the Equal Employment Opportunity Commission, the working group shall—
    (1) not later than 90 days after August 9, 2022, submit to the Committee on Science, Space, and Technology, the Committee on Education and Labor, and the Committee on Energy and Commerce of the House of Representatives and the Committee on Commerce, Science, and Transportation and the Committee on Health, Education, Labor, and Pensions of the Senate an inventory of Federal research agency policies, procedures, and resources dedicated to preventing and responding to reports of sex-based and sexual harassment;
    (2) not later than 6 months after the date on which the inventory is submitted under paragraph (1)
    (A) in consultation with outside stakeholders, develop a consistent set of policy guidelines for Federal research agencies; and
    (B) submit a report to the committees referred to in paragraph (1) containing such guidelines;
    (3) encourage and monitor efforts of Federal research agencies to develop or maintain and implement policies based on the guidelines developed under paragraph (2);
    (4) not later than 1 year after the date on which the inventory under paragraph (1) is submitted, and every 5 years thereafter, the Director of the Office of Science and Technology Policy shall report to Congress on the implementation by Federal research agencies of the policy guidelines developed under paragraph (2); and
    (5) update such policy guidelines as needed.
  • (A) any decision made to launch a formal investigation of sex-based or sexual harassment, including bullying, retaliation, or hostile working conditions by, or of, award personnel;
  • (B) administrative action, related to an allegation against award personnel of any such harassment, as set forth in organizational policies or codes of conduct, statutes, regulations, or executive orders, that affects the ability of award personnel or their trainees to carry out the activities of the award;
  • (D) findings or determinations of such harassment, as set forth in organizational policies or codes of conduct, statutes, regulations, or Executive orders by, or of, award personnel, including the final disposition of a matter involving a violation of organizational policies and processes, to include the exhaustion of permissible appeals, or a determination of a sexual offense in a court of law, or any other disciplinary action taken;
  • (5) each entity applying for a research and development award certify that a code of conduct is in place for maintaining a healthy and welcoming workplace for award personnel and posted on their public website;

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Citations to §18901(20)

  • (a) Not later than 120 days after August 9, 2022, the Director shall enter into an agreement with the National Academies to conduct a study to—
    (1) review the research literature and identify research gaps regarding the interconnected factors that foster and hinder successful implementation of promising, evidence-based PreK–12 STEM education innovations at the local, regional, and national level;
    (2) present a compendium of promising, evidence-based PreK–12 STEM education practices, models, programs, and technologies;
    (3) identify barriers to widespread and sustained implementation of such innovations; and
    (4) make recommendations to the Foundation, the Department of Education, the National Science and Technology Council’s Committee on Science, Technology, Engineering, and Mathematics Education, State and local educational agencies, and other relevant stakeholders on measures to address such barriers.
  • (b) Except as provided in subsection (d), none of the funds made available to the Foundation under this division or division A, or an amendment made by this division or division A, may be obligated or expended to an institution of higher education that maintains a contract or agreement between the institution and a Confucius Institute, unless the Director, after consultation with the National Academies, determines such a waiver is appropriate in accordance with subsection (c).
  • (c) The Director, after consultation with the National Academies, may issue a waiver for an institution of higher education that maintains a contract or agreement between the institution and a Confucius Institute if such contract or agreement includes clear provisions that—
    (1) protect academic freedom at the institution;
    (2) prohibit the application of any foreign law on any campus of the institution;
    (3) grant full managerial authority of the Confucius Institute to the institution, including full control over what is being taught, the activities carried out, the research awards that are made, and who is employed at the Confucius Institute; and
    (4) prohibit co-location with the institution’s Chinese language, history, and cultural programs and require separate promotional materials.
  • (3) the Foundation’s agreement with the National Academies to conduct a study and make recommendations with respect to governance of research in emerging technologies is a positive step toward accomplishing this goal; and
  • (a) To gather information about the computational needs of Foundation-funded projects, the Director shall require award proposals submitted to the Foundation, as appropriate, to include estimates of computational resource needs for projects that require use of advanced computing. The Director shall encourage and provide access to tools that facilitate the inclusion of these measures, including those identified in the 2016 National Academies report entitled “Future Directions for NSF Advanced Computing Infrastructure to Support U.S. Science and Engineering in 2017–2020”.
  • (h) Not later than 5 years after August 9, 2022, the Director shall contract with the National Academies to conduct a review of the key technology focus areas and the societal, national, and geostrategic challenges, including—
    (1) an assessment of their selection process;
    (2) an assessment of their relevance to the purposes of the Directorate, including to solving challenges with social, economic, health, scientific, and national security implications;
    (3) a review of whether Federal investment in the key technology focus areas have resulted in new domestic manufacturing capacity and job creation;
    (4) an assessment of any critical, new emerging areas;
    (5) an assessment of Federal investments in education and workforce development to support the key technology focus areas; and
    (6) an assessment of relative balance in leadership in addressing the key technology focus areas between the United States, allied and partner countries, and the People’s Republic of China.
  • (a) After the Directorate has been in operation for 6 years, the Director shall enter into an agreement with the National Academies to provide an evaluation of how well the Directorate is achieving the purposes identified in section 19102 of this title.
  • (1) Conduct and support research in engineering biology, including in synthetic biology, and related to Earth and space sciences, aeronautics, space technology, and space exploration and experimentation, consistent with the priorities established in the National Academies’ decadal surveys.
  • (1) According to the report issued by the National Academies of Sciences, Engineering, and Medicine in 2018 entitled “Sexual Harassment of Women: Climate, Culture, and Consequences in Academic Sciences, Engineering, and Medicine”—
    (A) sexual harassment is pervasive in institutions of higher education;
    (B) the most common type of sexual harassment is gender harassment;
    (C) 58 percent of individuals in the academic workplace experience sexual harassment, the second highest rate when compared to the military, the private sector, and Federal, State, and local government;
    (D) women who are members of racial or ethnic minority groups are more likely to experience sexual harassment and to feel unsafe at work than White women, White men, or men who are members of such groups;
    (E) the training for each individual who has a Doctor of Philosophy in the science, technology, engineering, and mathematics fields is estimated to cost approximately $500,000; and
    (F) attrition of an individual so trained results in a loss of talent and money.
  • The purpose of this part is to increase understanding of the causes and consequences of sex-based and sexual harassment, as discussed in the report issued by the National Academies in 2018 entitled “Sexual Harassment of Women: Climate, Culture, and Consequences in Academic Sciences, Engineering, and Medicine”, and to advance evidence-based approaches to reduce the prevalence and negative impact of such harassment.
  • (1) The Director, or a designee of the Director, shall, in coordination with the National Science and Technology Council, and the heads of such other relevant Federal agencies and entities as the Director considers appropriate, which may include the National Academies, and in consultation with such nongovernmental entities as the Director considers appropriate, develop a national strategy for the research and development of distributed ledger technologies and their applications, including applications of public and permissionless distributed ledgers. In developing the national strategy, the Director shall consider the following:
    (A) Current efforts and coordination by Federal agencies to invest in the research and development of distributed ledger technologies and their applications, including through programs like the Small Business Innovation Research program, the Small Business Technology Transfer program, and the National Science Foundation’s Innovation Corps programs.
    (i) The potential benefits and risks of applications of distributed ledger technologies across different industry sectors, including their potential to—
    (I) lower transactions costs and facilitate new types of commercial transactions;
    (II) protect privacy and increase individuals’ data sovereignty;
    (III) reduce friction to the interoperability of digital systems;
    (IV) increase the accessibility, auditability, security, efficiency, and transparency of digital services;
    (V) increase market competition in the provision of digital services;
    (VI) enable dynamic contracting and contract execution through smart contracts;
    (VII) enable participants to collaborate in trustless and disintermediated environments;
    (VIII) enable the operations and governance of distributed organizations;
    (IX) create new ownership models for digital items; and
    (X) increase participation of populations historically underrepresented in the technology, business, and financial sectors.
    (ii) In consideration of the potential risks of applications of distributed ledger technologies under clause (i), the Director shall take into account, where applicable—
    (I) additional risks that may emerge from distributed ledger technologies, as identified in reports submitted to the President pursuant to Executive Order 14067, that may be addressed by research and development;
    (II) software vulnerabilities in distributed ledger technologies and smart contracts;
    (III) limited consumer literacy on engaging with applications of distributed ledger technologies in a secure way;
    (IV) the use of distributed ledger technologies in illicit finance and their use in combating illicit finance;
    (V) manipulative, deceptive, and fraudulent practices that harm consumers engaging with applications of distributed ledger technologies;
    (VI) the implications of different consensus mechanisms for digital ledgers and governance and accountability mechanisms for applications of distributed ledger technologies, which may include decentralized networks;
    (VII) foreign activities in the development and deployment of distributed ledger technologies and their associated tools and infrastructure; and
    (VIII) environmental, sustainability, and economic impacts of the computational resources required for distributed ledger technologies.
    (C) Potential uses for distributed ledger technologies that could improve the operations and delivery of services by Federal agencies, taking into account the potential of digital ledger technologies to—
    (i) improve the efficiency and effectiveness of privacy-preserving data sharing among Federal agencies and with State, local, territorial, and Tribal governments;
    (ii) promote government transparency by improving data sharing with the public;
    (iii) introduce or mitigate risks that may threaten individuals’ rights or broad access to Federal services;
    (iv) automate and modernize processes for assessing and ensuring regulatory compliance; and
    (v) facilitate broad access to financial services for underserved and underbanked populations.
    (D) Ways to support public and private sector dialogue on areas of research that could enhance the efficiency, scalability, interoperability, security, and privacy of applications using distributed ledger technologies.
    (E) The need for increased coordination of the public and private sectors on the development of voluntary standards in order to promote research and development, including standards regarding security, smart contracts, cryptographic protocols, virtual routing and forwarding, interoperability, zero-knowledge proofs, and privacy, for distributed ledger technologies and their applications.
    (F) Applications of distributed ledger technologies that could positively benefit society but that receive relatively little private sector investment.
    (G) The United States position in global leadership and competitiveness across research, development, and deployment of distributed ledger technologies.
  • (1) Not later than 180 days after August 9, 2022, the Director shall enter into an agreement with the National Academies of Sciences, Engineering, and Medicine to conduct a study to evaluate and make recommendations for the quantum information science workforce. The study shall—
    (A) characterize the quantum information science workforce, including by—
    (i) describing what constitutes a quantum information science qualified worker across sectors, including academia, the Federal Government, and industry; and
    (ii) describing the size and makeup of the quantum information science workforce, including an assessment of current and future trends;
    (B) identify near- and long-term quantum information science workforce needs across government, academia, and industry sectors, including identifying the cross-disciplinary academic degrees or academic courses necessary to—
    (i) prepare students for multiple career pathways in quantum information sciences and related fields;
    (ii) ensure the United States is competitive in the field of quantum information science while preserving national security; and
    (iii) support the development of quantum applications;
    (C) assess the state of quantum information science education and skills training at all education levels and identify gaps in meeting current and future workforce needs, including with respect to—
    (i) elementary, middle, and high-school student access to foundational courses, age-appropriate quantum concepts, and hands-on learning opportunities;
    (ii) elementary, middle, and high-school teacher professional development and access to resources, materials, lesson plans, modules, and curricula;
    (iii) career pivot and skills training opportunities, including professional certificates and internships; and
    (iv) higher education curricula, laboratory experiences in academia, the Federal Government, and industry settings, and cross-discipline degree programs aligned with workforce needs; and
    (D) make recommendations for developing a diverse, flexible, and sustainable quantum information science workforce that meets the evolving needs of academia, the Federal Government, and industry.
  • (2) Not later than two years after August 9, 2022, the National Academies of Science, Engineering, and Medicine shall submit to Congress and the Director a report containing the results of the study conducted pursuant to paragraph (1).
  • (aa) seek to enter into an agreement with the National Academies of Sciences, Engineering, and Medicine to develop a list of individuals to serve as members of the Board who are well-qualified and will meet the requirements of subclauses (II) and (III); and
  • (bb) appoint the initial members of the Board from that list, if applicable, in consultation with the National Academies of Sciences, Engineering, and Medicine.

Citations to §18901(21)

  • (1) The Director shall make awards to institutions of higher education, non-profit organizations, or consortia thereof, for research, development, and related activities to advance innovative approaches to developing, improving, and expanding evidence-based education and workforce development activities and learning experiences at all levels of education in fields and disciplines related to microelectronics.
  • (B) Institutions of higher education or non-profit organizations (or consortia of such institutions and organizations) shall use award funds provided under subparagraph (A) for the purposes of—
    (i) paying tuition and fees, and providing stipends, for students receiving traineeships who are citizens, nationals, or aliens lawfully admitted for permanent residence;
    (ii) facilitating opportunities for scientific internship programs for students receiving traineeships in microelectronics at private industry, nonprofit research institutions, or Federal laboratories; and
    (iii) such other costs associated with the administration of the program.
  • (1) The Director, in coordination with the Secretary of Commerce, shall on a competitive, merit-reviewed basis, make awards to institutions of higher education and non-profit organizations (or consortia of such institutions and organizations) to establish partnerships to enhance and broaden participation in microelectronics education.
  • (a) The Director shall make awards, on a competitive basis, to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to carry out a comprehensive national initiative to facilitate the development of networks and partnerships to build on and scale up effective practices in broadening participation in STEM studies and careers of groups historically underrepresented in such studies and careers.
  • (a) The Director shall make awards on a competitive, merit-reviewed basis, to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations), to enable such entities to increase the participation of women and underrepresented minorities in STEM studies and careers.
  • The Director shall continue to make awards, on a competitive basis, to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to support research on the conduct of research and the research environment, including research on research misconduct or breaches of research integrity and detrimental research practices.
  • (b) The Director shall make awards on a competitive basis, to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to support activities to increase the efficiency, effectiveness, and availability of resources for implementing the Broader Impacts review criterion, including—
    (1) training and workshops for program officers, merit review panelists, award office administrators, faculty, and students to improve understanding of the goals and the full range of potential broader impacts available to researchers to satisfy this criterion;
    (2) repositories and clearinghouses for sharing best practices and facilitating collaboration; and
    (3) tools for evaluating and documenting societal impacts of research.
  • (d) The Director shall make awards, on a competitive basis, to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to support—
    (1) research to assess the potential ethical and societal implications of Foundation-supported research and products or technologies enabled by such research, including the benefits and risks identified pursuant to subsection (b)(1); and
    (2) the development and verification of approaches to proactively mitigate foreseeable risks to society, including the technical and social solutions identified pursuant to subsection (b)(1).
  • (3) make awards on a competitive basis to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) for the development, upgrades, and maintenance of open data repositories that meet the criteria developed under paragraph (1);
  • (d) The Director shall make awards, on a competitive basis to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to—
    (1) support research and development of open source, sustainable, usable tools and infrastructure that support reproducibility for a broad range of studies across different disciplines;
    (2) support research on computational reproducibility, including the limits of reproducibility and the consistency of computational results in the development of new computation hardware, tools, and methods; and
    (3) support the education and training of students, faculty, and researchers on computational methods, tools, and techniques to improve the quality and sharing of data, code, and supporting metadata to produce reproducible research.
  • The Director shall make awards, on a competitive basis, to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to support research to improve our understanding of the climate system and related human and environmental systems.
  • The Director shall make awards on a competitive, merit-reviewed basis to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to support research and development of data, models, indicators, and associated analytical tools to improve our understanding of the impacts of Federally funded research on society, the economy, and the workforce, including domestic job creation.
  • The Director shall make awards on a competitive basis to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to—
  • (1) establishing a program to make awards, on a competitive basis, to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to support—
    (A) individual investigators and teams of investigators, including to the extent practicable, early career investigators for research and development;
    (B) collaborative research and development partnerships among universities, industry, and non-profit organizations;
    (C) integrating sustainable chemistry principles into elementary, secondary, undergraduate, and graduate chemistry and chemical engineering curriculum and research training, as appropriate to that level of education and training; and
  • (B) collaborative research and development partnerships among universities, industry, and non-profit organizations;
  • The Director shall make awards on a competitive basis to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to advance knowledge of risk assessment and predictability and to support the creation of tools and technologies, including advancing data analytics and utilization of artificial intelligence, for increased resilience through—
  • (c) In coordination with other relevant Federal research agencies, as appropriate, the Director shall make awards on a competitive basis to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to facilitate coordination and data sharing among communities of practice for research, education, workforce training, evaluation, and business model development, including by establishing an Action Center for Biological Collections.
  • The Director shall make awards on a competitive, merit-reviewed basis to institutions of higher education or non-profit organizations (or consortia of such institutions or organizations) to—
  • (2) develop, pilot, and deploy innovative technologies, systems, and other approaches to identifying and addressing challenges that affect water availability, quality, and security, including through direct engagement with affected communities and partnerships with the private sector, State, territorial, Tribal, and local governments, non-profit organizations and water management professionals; and
  • (4) as relevant, potential steps to drive economic growth in a particular region, by collaborating with industry, venture capital entities, non-profit organizations, and State and local governments within that region; and
  • (c) Recipients of funds under this section may include institutions of higher education, research institutions, non-profit organizations, private sector entities, consortia, or other entities as defined by the Director.
  • (1) Not later than one year after August 9, 2022, the Director, building on the National Science Foundation’s role in the National Q–12 Education Partnership and programs such as Q2Work Program, shall make awards to institutions of higher education, non-profit organizations, or consortia thereof to carry out a pilot program, to be known as the “Next Generation Quantum Leaders Pilot Program” (in this subsection referred to as the “Program”), for the education and training of the next generation of students and teachers in the fundamental principles of quantum mechanics.

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