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The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) is one of the thirteen principal federal statistical agencies within the United States. It is responsible for the collection, acquisition, analysis, reporting and dissemination of objective, statistical data related to the science and engineering enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public. NCSES uses this information to prepare a number of statistical data reports as well as analytical reports including the National Science Board's biennial report, Science and Engineering (S&E) Indicators, and Women, Minorities and Persons with Disabilities in Science and Engineering. The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys, and to engage in the education and training of researchers in the use of large-scale nationally representative datasets. NCSES welcomes efforts by the research community to use NCSES data for research on the science and technology enterprise, to develop improved survey methodologies for NCSES surveys, to create and improve indicators of S&T activities and resources, and strengthen methodologies to analyze and disseminate S&T statistical data. To that end, NCSES invites proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, workshops, experimental research, survey research and data collection and dissemination projects under its program for Research on the Science and Technology Enterprise: Statistics and Surveys.

The National Victimization Statistical Support Program (NVSSP) project is designed to: (1) provide scientific and technical support for statistical and methodological research, statistical analyses, documentation, and dissemination in support of BJS's efforts related to the redesign of its National Criminal Victimization Survey (NCVS); (2) enhance BJS's statistical reporting program from the NCVS and other federal data on criminal victimization; and (3) support BJS efforts to use the NCVS to inform its future decisions about the design and content of its victimization statistics program. The goal is to increase the breadth of substantive issues that are addressed with the NCVS, both in the short-run and longer-term.

The purpose of this Funding Opportunity Announcement (FOA) is to support the development of advanced computational, bioinformatic and statistical tools to determine the functional relevance of genetic variants associated with mental disorders of complex etiologies identified through genome-wide association or sequencing studies. The overarching goal of this initiative is to support the development of innovative computational methods that facilitate the elucidation of the functionality of genetic variants associated with mental illness, taking into account the added complexities and nuances of brain diseases, and to ultimately inform the identification and validation of potential targets for novel treatment development. This FOA should be used when two or more sites are needed to complete the study. For a linked set of collaborative R01s, each site must have its own Program Director/Principal Investigator and the set of linked applications provide a mechanism for cross-site coordination, quality control, database management, statistical analysis, and reporting.

The Institute of Education Sciences (IES), in collaboration with the Educational Testing Service (ETS), is sponsoring a series of training workshops for individual researchers and research teams to explore and use data and assessment tools from the Program for the International Assessment of Adult Competencies (PIAAC). These workshops are designed for those who want to go beyond computing basic statistics with the PIAAC databases. During the workshops we will train participants to conduct simple and complex analysis with the PIAAC data. We will also help participants familiarize themselves with the statistical and data complexities of PIAAC. The general day-to-day schedule of the workshops will include both presentations and hands-on practical assignments using released PIAAC databases.

Genome-wide association studies (GWAS) have identified statistical relationships between tens of thousands of common single nucleotide variants and over a thousand traits. Due to the correlated nature of nearby genetic variants, GWAS implicate regions of the genome and do not necessarily pinpoint the causal variant(s), gene(s) or mechanism(s) underlying the trait association. The purpose of this funding opportunity announcement is to support systematic fine-mapping of genome-wide significant risk loci associated with serious mental illnesses through robust statistical genetic and functional genomic approaches.

The Tribal Colleges and Universities Program (TCUP) provides awards to Tribal Colleges and Universities, Alaska Native-serving institutions, and Native Hawaiian-serving institutions to promote high quality science (including sociology, psychology, anthropology, economics, statistics, and other social and behavioral sciences as well as natural sciences), technology, engineering and mathematics (STEM) education, research, and outreach. Support is available to TCUP-eligible institutions (see the Additional Eligibility subsection of Section IV of this solicitation) for transformative capacity-building projects through Instructional Capacity Excellence in TCUP Institutions (ICE-TI), Targeted STEM Infusion Projects (TSIP), TCU Enterprise Advancement Centers (TEA Centers), and Preparing for TCUP Implementation (Pre-TI). Collaborations that involve multiple institutions of higher education led by TCUP institutions are supported through Partnerships for Geoscience Education (PAGE) and Partnerships for Documentary Linguistics Education (PADLE). Finally, research studies that further the scholarly activity of individual faculty members are supported through Small Grants for Research (SGR) and Science Education Alliance Phage Hunters Advancing Genomics and Evolutionary Science in Tribal Colleges and Universities (SEA-PHAGES in TCUs). Through the opportunities highlighted above, as well as collaborations with other National Science Foundation (NSF) units and other organizations, TCUP aims to increase Native individuals' participation in STEM careers and improve the quality of STEM programs at TCUP-eligible institutions. TCUP strongly encourages the inclusion of activities that will benefit veterans.

The purpose of this Funding Opportunity Announcement (FOA) is to support a consortium of collaborative projects, with a minimum of two sites, that propose to use cutting edge technologies to generate and analyze whole genome sequencing (WGS) data from either case control or family samples in order to elucidate the full genetic architecture underlying susceptibility to severe mental disorders. Insights into the genetic architecture underlying susceptibility to severe mental disorders will be achieved through implementation of state of the art WGS assays and innovative/novel statistical methods.

The Science of Science & Innovation Policy (SciSIP) program supports research designed to advance the scientific basis of science and innovation policy. Research funded by the program thus develops, improves and expands models, analytical tools, data and metrics that can be applied in the science policy decision making process. For example, research proposals may develop behavioral and analytical conceptualizations, frameworks or models that have applications across a broad array of SciSIP challenges, including the relationship between broader participation and innovation or creativity. Proposals may also develop methodologies to analyze science and technology data, and to convey the information to a variety of audiences. Researchers are also encouraged to create or improve science and engineering data, metrics and indicators reflecting current discovery, particularly proposals that demonstrate the viability of collecting and analyzing data on knowledge generation and innovation in organizations. Among the many research topics supported are:examinations of the ways in which the contexts, structures and processes of science and engineering research are affected by policy decision, the evaluation of the tangible and intangible returns from investments in science and from investments in research and development, the study of structures and processes that facilitate the development of usable knowledge, theories of creative processes and their transformation into social and economic outcomes, the collection, analysis and visualization of new data describing the scientific and engineering enterprise. The SciSIP program invites the participation of researchers from all of the social, behavioral and economic sciences as well as those working in domain-specific applications such as chemistry, biology, physics, or nanotechnology. The program welcomes proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, conferences, wo

The BIGDATA program seeks novel approaches in computer science, statistics, computational science, and mathematics, along with innovative applications in domain science, including social and behavioral sciences, geosciences, education, biology, the physical sciences, and engineering that lead towards the further development of the interdisciplinary field of data science

AERA invites education-related research proposals using NCES, NSF, and other federal databases. Research Grants are available for faculty at institutions of higher education, postdoctoral researchers, and other doctoral-level scholars. Applications are encouraged from a variety of disciplines, such as but not limited to, education, sociology, economics, psychology, demography, statistics, and psychometrics.

To that end, the foundation is seeking applications for research focused on the effectiveness of group psychotherapy. Grants of up to $15,000 will be awarded based on the importance of the research to the field, the seniority of the investigators, and the number of research applications received. Funding can be used to support the basic costs of research (e.g., supplies, research equipment, photocopying, postage, computer services, statistical consultation, and research assistant salaries); investigator salaries and travel expenses will not be funded. (Equipment purchased for use with a research project is to be donated to an institution at the completion of the project.)

This FOA encourages applications for multi-site exploratory and confirmatory clinical trials focused on promising interventions, as well as biomarker-or outcome measure validation studies that are immediately preparatory to trials in stroke prevention, treatment, and recovery.  Successful applicants will collaborate and conduct the trial within the NIH StrokeNet.  Following peer review, NINDS will prioritize trials among the highest scoring to be conducted in the NIH StrokeNet infrastructure. The NIH StrokeNet National Coordinating Center (NCC) will work with the successful applicant to implement the proposed study efficiently and the National Data Management Center (NDMC) will provide statistical and data management support.  The NIH StrokeNet Regional Coordinating Centers (RCCs) and their affiliated clinical sites will provide recruitment/retention support as well as on-site implementation of the clinical protocol.

Family caregivers shoulder many emotional and economic burdens in the course of delivering care to loved ones. Their role however is essential. According to a 2018 report from bipartisan policy center the majority of long-term care services and supports comes from family caregivers with estimates reporting that family caregivers have provided $470 billion in care. Additionally, the same report cites a statistic that family caregivers aged 50 and over lose approximately $304,000 in income and benefits over the duration of their care. Consequently family caregivers are especially vulnerable to experiencing the devastating economic burdens of the provision of care. As such, the development and dissemination of training and information to improve and strengthen the financial literacy of family caregivers is paramount in efforts to help them maintain their caregiving duties while concurrently helping them better understand and prepare for the potential financial impacts associated with the provision of care. The target population to be served will be all eligible family caregivers as defined in Title III E of the Older Americans Act. The objectives for this new funding opportunity include:* Advance understanding of the need for and the available interventions to improve financial literacy among family caregivers, incluidng gaps found in existing interventions, and develop a stragety for addressing these needs

The purpose of the Mentored Quantitative Research Career Development Award (K25) is to attract to NIH-relevant research those investigators whose quantitative science and engineering research has thus far not been focused primarily on questions of health and disease. The K25 award will provide support and "protected time" for a period of supervised study and research for productive professionals with quantitative (e.g., mathematics, statistics, economics, computer science, imaging science, informatics, physics, chemistry) and engineering backgrounds to integrate their expertise with NIH-relevant research. This Funding Opportunity Announcement (FOA) is designed specifically for applicants proposing research that does not involve leading an independent clinical trial, a clinical trial feasibility study, or an ancillary clinical trial. Applicants to this FOA are permitted to propose research experience in a clinical trial led by a mentor or co-mentor. Applicants proposing a clinical trial or an ancillary clinical trial as lead investigator, should apply to the companion FOA ().

The purpose of the Mentored Quantitative Research Career Development Award (K25) is to attract to NIH-relevant research those investigators whose quantitative science and engineering research has thus far not been focused primarily on questions of health and disease.  The K25 award will provide support and "protected time" for a period of supervised study and research for productive professionals with quantitative (e.g., mathematics, statistics, economics, computer science, imaging science, informatics, physics, chemistry) and engineering backgrounds to integrate their expertise with NIH-relevant research.

Funding can be used to support the basic costs of research (e.g., supplies, research equipment, photocopying, postage, computer services, statistical consultation and research assistant salaries); investigator salaries and travel expenses are not eligible for funding, and equipment purchased for use with a research project must to be donated to an institution upon completion of the project.

Funding can be used to support the basic costs of research (e.g., supplies, research equipment, photocopying, postage, computer services, statistical consultation and research assistant salaries); investigator salaries and travel expenses are not eligible for funding, and equipment purchased for use with a research project must to be donated to an institution upon completion of the project.

NIMH seeks applications for innovative research projects to test strategies to increase the reach, efficiency, effectiveness, and quality of digital mental health interventions. This FOA is intended to support the development of digital health test beds that leverage well-established digital mental health platforms ,to rapidly refine and optimize existing evidence-based digital health interventions and conduct clinical trials testing digital mental health interventions that are statistically powered to provide a definitive answer regarding the intervention's effectiveness.

Purpose NIMH seeks applications for innovative research projects to test strategies to increase the reach, efficiency, effectiveness, and quality of digital mental health interventions which may impact mental health outcomes, including suicide behaviors and serious mental illness. This FOA is intended to support the development of digital health test beds that leverage well-established digital mental health platforms/infrastructure to rapidly refine and optimize existing evidence based digital health interventions and conduct clinical trials testing digital mental health interventions that are statistically powered to provide a definitive answer regarding the intervention's effectiveness. Background The healthcare landscape in the United States is constantly changing, creating new challenges to the delivery of high-quality treatments and services to children, youth, adults, and older adults with unmet or under-met mental health needs. Epidemiological findings suggest that approximately one half of the United States population meets lifetime criteria for a mental disorder, and approximately one quarter of the population meets criteria in any given year. However, only one half of people with any mental health disorder and only two thirds of people with a serious mental health disorder received mental health services in the previous year. Of those that find their way into mental health care, many fall out of care and/or do not receive guideline concordant treatment, including suicide risk assessment and evidence-based preventive interventions. Disparities in population status (e.g., members of racial, ethnic, sexual, and gender minority communities), a fragmented healthcare system, provider shortages, healthcare affordability, and other factors moderate these findings.