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People spend the vast majority of their time inside their homes and other indoor environments where they are exposed to a wide range of chemicals from building materials, furnishings, occupants, cooking, consumer products, and other sources. Despite research to date, very little is known about how exposures to indoor chemicals across complex chemical phases and pathways affect human health. The COVID-19 pandemic has only increased public awareness of indoor environments and shed light on the many outstanding questions about how best to manage chemicals indoors. This report identifies gaps in current research and understanding of indoor chemistry and new approaches that can be applied to measure, manage, and limit chemical exposures. Why Indoor Chemistry Matters calls for further research about the chemical transformations that can occur indoors, pathways and timing of indoor chemical exposure, and the cumulative and long-term impacts of exposure on human health. Research priorities should consider factors that contribute to measurable environmental health disparities that affect vulnerable populations, such as the age, location, and condition of buildings that can alter exposures to indoor chemicals.

"Although artificial intelligence (AI) has many potential benefits, it has also been shown to suffer from a number of challenges for successful performance in complex real-world environments such as military operations, including brittleness, perceptual limitations, hidden biases, and lack of a model of causation important for understanding and predicting future events. These limitations mean that AI will remain inadequate for operating on its own in many complex and novel situations for the foreseeable future, and that AI will need to be carefully managed by humans to achieve their desired utility. Human-AI Teaming: State-of-the-Art and Research Needs examines the factors that are relevant to the design and implementation of AI systems with respect to human operations. This report provides an overview of the state of research on human-AI teaming to determine gaps and future research priorities and explores critical human-systems integration issues for achieving optimal performance." -- Provided by publisher

Global advances in medicine, food, water, energy, microelectronics, communications, defense, and other important sectors of the economy are increasingly driven by discoveries in nanoscience and the development of nanotechnologies. Engaging the nanoscience and technology community in the crafting of national priorities, developing novel approaches for translating fundamental discovery to a technology readiness level appropriate for venture/industry funding, increasing domestic student interest in nanoscience to expand the workforce pipeline, and exploring new ways of coordinating the work of the National Nanotechnology Initiative (NNI) are all imperatives if the United States is to fully reap the societal benefits of nanotechnology. A Quadrennial Review of the National Nanotechnology Initiative provides a framework for a redesign of the NNI and its coordination with the goal of achieving a U.S. resurgence in nanotechnology. This report makes recommendations to improve the value of the NNI's research and development strategy and portfolio to the economic prosperity and national security of the United States.

The United States has long made substantial investments in clinical research with the goal of improving the health and well-being of our nation. There is no doubt that these investments have contributed significantly to treating and preventing disease and extending human life. Nevertheless, clinical research faces a critical shortcoming. Currently, large swaths of the U.S. population, and those that often face the greatest health challenges, are less able to benefit from these discoveries because they are not adequately represented in clinical research studies. While progress has been made with representation of white women in clinical trials and clinical research, there has been little progress in the last three decades to increase participation of racial and ethnic minority population groups. This underrepresentation is compounding health disparities, with serious consequences for underrepresented groups and for the nation. At the request of Congress, Improving Representation in Clinical Trials and Research: Building Research Equity for Women and Underrepresented Groups identifies policies, procedures, programs, or projects aimed at increasing the inclusion of these groups in clinical research and the specific strategies used by those conducting clinical trials and clinical and translational research to improve diversity and inclusion. This report models the potential economic benefits of full inclusion of men, women, and racial and ethnic groups in clinical research and highlights new programs and interventions in medical centers and other clinical settings designed to increase participation.

The Office of the Assistant Secretary for Planning and Evaluation (ASPE), in partnership with other agencies and divisions of the United States Department of Health and Human Services, coordinates a portfolio of projects that build data capacity for conducting patient-centered outcomes research (PCOR). PCOR focuses on producing scientific evidence on the effectiveness of prevention and treatment options to inform the health care decisions of patients, families, and health care providers, taking into consideration the preferences, values, and questions patients face when making health care choices. ASPE asked the National Academies to appoint a consensus study committee to identify issues critical to the continued development of the data infrastructure for PCOR. Building Data Capacity for Patient-Centered Outcomes Research contains findings and conclusions in the areas that could benefit from being prioritized as part of ASPE's work, and offers input on strengthening the overall framework for building the data infrastructure over the coming years. The committee authoring this report also issued three interim reports, which summarized discussions from three workshops, and are included as appendices in the final report.

New research in psychology, neuroscience, cognitive science, and other fields is published every day, but the gap between what is known and the capacity to act on that knowledge has never been larger. Scholars and nonscholars alike face the problem of how to organize knowledge and to integrate new observations with what is already known. Ontologies - formal, explicit specifications of the meaning of the concepts and entities that scientists study - provide a way to address these and other challenges, and thus to accelerate progress in behavioral research and its application. Ontologies help researchers precisely define behavioral phenomena and how they relate to each other and reliably classify them. They help researchers identify the inconsistent use of definitions, labels, and measures and provide the basis for sharing knowledge across diverse approaches and methodologies. Although ontologies are an ancient idea, modern researchers rely on them to codify research terms and findings in computer-readable formats and work with large datasets and computer-based analytic techniques. Ontologies in the Behavioral Sciences: Accelerating Research and the Spread of Knowledge describes how ontologies support science and its application to real-world problems. This report details how ontologies function, how they can be engineered to better support the behavioral sciences, and the resources needed to sustain their development and use to help ensure the maximum benefit from investment in behavioral science research.

This midcourse report provides an initial assessment of how the process used to develop the Dietary Guidelines for Americans, 2020-2025 (DGA) compares to the recommendations in the 2017 National Academies report on redesigning the process for establishing the DGA. It also assesses the criteria and processes for including the scientific studies used to develop the guidelines. The scope of this study was to address the process and not the content of the guidelines.

Digital health encompasses a broad array of tools and strategies with the goals of advancing research, increasing health care access and quality, and making care more personalized. It encompasses health content, digital health interventions, and digital applications, such as communication tools connecting patients and clinicians (e.g., secure email in the patient portal, text, chat, video visit), remote monitoring tools, clinical decision support tools, and systems for exchanging health information. Patient-facing tools, tools for clinicians, and systems to facilitate research and care improvement are all part of this diverse landscape, and each raises unique opportunities and potential challenges. To examine key policy issues for the effective and safe development, implementation, and use of digital health technologies in oncology research and care, the National Cancer Policy Forum of the National Academies of Sciences, Engineering, and Medicine held a virtual workshop in collaboration with the Forum on Cyber Resilience. The workshop, Opportunities and Challenges for Using Digital Health Applications in Oncology, held on July 13-14, 2020, convened a broad group of experts, including clinicians and researchers; patient advocates; and representatives of federal agencies, health professional societies, health care organizations, insurers, and the pharmaceutical and health technology industries. Many workshop speakers found the opportunities presented by digital health tools to be particularly compelling for oncology; however, capitalizing on these opportunities necessitates careful attention to the design, implementation, and use of digital health technologies. This publication summarizes the presentations and discussions from the workshop.

"The opioid overdose epidemic combined with the need to reduce the burden of acute pain poses a public health challenge. To address how evidence-based clinical practice guidelines for prescribing opioids for acute pain might help meet this challenge, Framing Opioid Prescribing Guidelines for Acute Pain: Developing the Evidence develops a framework to evaluate existing clinical practice guidelines for prescribing opioids for acute pain indications, recommends indications for which new evidence-based guidelines should be developed, and recommends a future research agenda to inform and enable specialty organizations to develop and disseminate evidence-based clinical practice guidelines for prescribing opioids to treat acute pain indications. The recommendations of this study will assist professional societies, health care organizations, and local, state, and national agencies to develop clinical practice guidelines for opioid prescribing for acute pain. Such a framework could inform the development of opioid prescribing guidelines and ensure systematic and standardized methods for evaluating evidence, translating knowledge, and formulating recommendations for practice"--

The evolution of health care is expanding the possibilities for integration of clinical research into the continuum of clinical care; new approaches are enabling the collection of data in real-world settings; and new modalities, such as digital health technologies and artificial intelligence applications, are being leveraged to overcome challenges and advance clinical research. At the same time, the clinical research enterprise is strained by rising costs, varying global regulatory and economic landscapes, increasing complexity of clinical trials, barriers to recruitment and retention of research participants, and a clinical research workforce that is under tremendous demands. Looking ahead to 2030, the Forum on Drug Discovery, Development, and Translation of the National Academies of Sciences, Engineering, and Medicine convened a public workshop for stakeholders from across the drug research and development life cycle to reflect on the lessons learned over the past 10 years and consider opportunities for the future. The workshop was designed to consider goals and priority action items that could advance the vision of a 2030 clinical trials enterprise that is more efficient, effective, person-centered, inclusive, and integrated into the health care delivery system so that outcomes and experiences for all stakeholders are improved. This Proceedings of a Workshop summarizes the presentations and discussions that took place during the four-part virtual public workshop held on January 26, February 9, March 24, and May 11, 2021.

To take stock of lessons learned from COVID-19 around the world and in the United States, the Forum on Microbial Threats held two virtual workshops during 2021. The first workshop focused on what it means to frame the response to COVID-19 through a "syndemic" approach, and what the implications would be for global recovery. The second workshop focused more broadly on key lessons and emerging data from ongoing pandemic response efforts that can be incorporated into current health systems to improve resilience and preparedness for future outbreaks. This workshop explored the long-term effects of COVID-19 on health equity, including considerations for mental health and social determinants of health. It also addressed uncertainties during a pandemic, such as trust, communication, and engagement and explored approaches to systematize recovery efforts to improve the ongoing responses and prepare for the next pandemic. Experts discussed possibilities for a post-pandemic world and a response strategy for stakeholders that ensures sustained community partnerships and prioritization of health equity. This Proceedings of a Workshop summarizes the presentations and discussions from the second workshop.

"Autoimmune diseases occur when the body's immune system malfunctions and mistakenly attacks healthy cells, tissues, and organs. Strong data on the incidence and prevalence of autoimmune diseases are limited, but a 2009 study estimated the prevalence of autoimmune diseases in the U.S. to be 7.6 to 9.4 percent, or 25 to 31 million people today. This estimate, however, includes only 29 autoimmune diseases, and it does not account for increases in prevalence in the last decade. By some counts, there are around 150 autoimmune diseases, which are lifelong chronic illnesses with no known cures. The National Academies of Sciences, Engineering, and Medicine was asked to assess the autoimmune disease research portfolio of the National Institutes of Health (NIH). Enhancing NIH Research on Autoimmune Disease finds that while NIH has made impressive contributions to research on autoimmune diseases, there is an absence of a strategic NIH-wide autoimmune disease research plan and a need for greater coordination across the institutes and centers to optimize opportunities for collaboration. To meet these challenges, this report calls for the creation of an Office of Autoimmune Disease/Autoimmunity Research in the Office of the Director of NIH. The Office could facilitate NIH-wide collaboration, and engage in prioritizing, budgeting, and evaluating research. Enhancing NIH Research on Autoimmune Disease also calls for the establishment of long term systems to collect epidemiologic and surveillance data and long term studies (20+ years) to study disease across the life course. Finally, the report provides an agenda that highlights research needs that crosscut many autoimmune diseases, such as understanding the effect of environmental factors in initiating disease"--

The needs and demands placed on science to address a range of urgent problems are growing. The world is faced with complex, interrelated challenges in which the way forward lies hidden or dispersed across disciplines and organizations. For centuries, scientific research has progressed through iteration of a workflow built on experimentation or observation and analysis of the resulting data. While computers and automation technologies have played a central role in research workflows for decades to acquire, process, and analyze data, these same computing and automation technologies can now also control the acquisition of data, for example, through the design of new experiments or decision making about new observations. The term automated research workflow (ARW) describes scientific research processes that are emerging across a variety of disciplines and fields. ARWs integrate computation, laboratory automation, and tools from artificial intelligence in the performance of tasks that make up the research process, such as designing experiments, observations, and simulations; collecting and analyzing data; and learning from the results to inform further experiments, observations, and simulations. The common goal of researchers implementing ARWs is to accelerate scientific knowledge generation, potentially by orders of magnitude, while achieving greater control and reproducibility in the scientific process. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop examines current efforts to develop advanced and automated workflows to accelerate research progress, including wider use of artificial intelligence. This report identifies research needs and priorities in the use of advanced and automated workflows for scientific research. Automated Research Workflows for Accelerated Discovery is intended to create awareness, momentum, and synergies to realize the potential of ARWs in scholarly discovery.

The U.S. Department of Defense is pursuing an improved ability to more closely integrate and operate jointly against agile adversaries through Joint All-Domain Command and Control (JADC2). This framework will seamlessly integrate sensors, networks, platforms, commanders, operators, and weapon systems for rapid information collection, decision-making, and projection of joint and multinational forces. The Department of the Air Force's contribution to JADC2 is the Advanced Battle Management System (ABMS). As an evolving system in the early stages of definition, ABMS architecture and its supporting elements remain dynamic. Advanced Battle Management System assesses the technical approach being employed by ABMS and its ability to effectively support the range of system integration desired, while also supporting operational and development agility; and the governance being applied by ABMS and if it is appropriate and sufficient to enable quick development and evolution of capabilities while maintaining appropriate government control over the output.

"The aging population of the United States has significant implications for the workforce - challenging what it means to work and to retire in the U.S. In fact, by 2030, one-fifth of the population will be over age 65. This shift has significant repercussions for the economy and key social programs. Due to medical advancements and public health improvements, recent cohorts of older adults have experienced better health and increasing longevity compared to earlier cohorts. These improvements in health enable many older adults to extend their working lives. While higher labor market participation from this older workforce could soften the potential negative impacts of the aging population over the long term on economic growth and the funding of Social Security and other social programs, these trends have also occurred amidst a complicating backdrop of widening economic and social inequality that has meant that the gains in health, improvements in mortality, and access to later-life employment have been distributed unequally. Understanding the Aging Workforce: Defining a Research Agenda offers a multidisciplinary framework for conceptualizing pathways between work and nonwork at older ages. This report outlines a research agenda that highlights the need for a better understanding of the relationship between employers and older employees; how work and resource inequalities in later adulthood shape opportunities in later life; and the interface between work, health, and caregiving. The research agenda also identifies the need for research that addresses the role of workplaces in shaping work at older ages, including the role of workplace policies and practices and age discrimination in enabling or discouraging older workers to continue working or retire."--Publisher's website.

"The Consumer Price Index (CPI), produced by the Bureau of Labor Statistics (BLS), is the most widely used measure of inflation in the U.S. It is used to determine cost-of-living allowances and, among many other important private- and public-sector applications, influences monetary policy. The CPI has traditionally relied on field-generated data, such as prices observed in person at grocery stores or retailers. However, as these data have become more challenging and expensive to collect in a way that reflects an increasingly dynamic marketplace, statistical agencies and researchers have begun turning to opportunities created by the vast digital sources of consumer price data that have emerged. The enormous economic disruption of the COVID-19 pandemic, including major shifts in consumers' shopping patterns, presents a perfect case study for the need to rapidly employ new data sources for the CPI. Modernizing the Consumer Price Index presents guidance to BLS as the agency embarks on a strategy of accelerating and enhancing the use of scanner, web-scraped, and digital data directly from retailers in compiling the CPI. The report also recommends strategies for BLS to more accurately estimate the composition of households' expenditures - or market basket shares - by updating this information more frequently and using innovative survey techniques and alternative data sources where possible. The report provides targeted guidance for integrating new data sources to improve the CPI's estimation of changes in the prices of housing and medical care, two consumer expenditure categories that are traditionally difficult to measure. Because of the urgency of issues related to income and wealth inequality, the report also recommends that BLS identify data sources that would allow it to estimate price indexes defined by income quintile or decile"--

Nearly 600,000 people are released from state and federal prisons annually. Whether these individuals will successfully reintegrate into their communities has been identified as a critical measure of the effectiveness of the criminal legal system. However, evaluating the successful reentry of individuals released from prison is a challenging process, particularly given limitations of currently available data and the complex set of factors that shape reentry experiences. The Limits of Recidivism: Measuring Success After Prison finds that the current measures of success for individuals released from prison are inadequate. The use of recidivism rates to evaluate post-release success ignores significant research on how and why individuals cease to commit crimes, as well as the important role of structural factors in shaping post-release outcomes. The emphasis on recidivism as the primary metric to evaluate post-release success also ignores progress in other domains essential to the success of individuals returning to communities, including education, health, family, and employment. In addition, the report highlights the unique and essential insights held by those who have experienced incarceration and proposes that the development and implementation of new measures of post-release success would significantly benefit from active engagement with individuals with this lived experience. Despite significant challenges, the report outlines numerous opportunities to improve the measurement of success among individuals released from prison and the report's recommendations, if implemented, will contribute to policies that increase the health, safety, and security of formerly incarcerated persons and the communities to which they return.

Historically Black Colleges and Universities (HBCUs) and other minority institutions (MIs) represent a valuable resource to expand the Department of Defense's (DoD) government and extramural workforce and science and technology enterprise. The more than 400 public and private HBCUs, Tribal Colleges and Universities, Hispanic-Serving Institutions, and other two- and four-year MIs are positioned to make strong and uniquely important contributions to the defense research enterprise, offering DoD an opportunity to widen its talent pool and diversify STEM research and ultimately strengthen its ability to support national security. Defense Research Capacity at Historically Black Colleges and Universities and Other Minority Institutions examines the status of DoD research at HBCUs and MIs, including the methods and means necessary to advance research capacity at these institutions in order to comprehensively address the national security and defense needs of the United States. This report offers recommendations to guide DoD, Congress, HBCU/MIs, and partnering entities in supporting and strengthening the role of these institutions in defense research. A strategic commitment will translate into increased opportunities for HBCU/MIs to diversify the future American academic, industrial, and government STEM workforce upon which DoD will depend.

"In November 2020, the National Academies of Sciences, Engineering, and Medicine convened a multi-day virtual symposium on imaging the future of undergraduate STEM education. Speakers and participants pondered the future and the past and shared their goals, priorities, and dreams for improving undergraduate STEM education. Expert speakers presented information about today's students and approaches to undergraduate STEM education, as well as the history of transformation in higher education. Thoughtful discussions explored ideas for the future, how student-centered learning experiences could be created, and what issues to consider to facilitate a successful transformation. This publication summarizes the presentation and discussion of the symposium."--