Group items tagged

The Tax Counseling for the Elderly (TCE) Program offers FREE tax help to individuals who are age 60 or older. Section 163 of the Revenue Act of 1978, Public Law No. 95-600, 92 Stat. 2810, November 6, 1978, authorizes this cooperative agreement. The Act authorizes the Internal Revenue Service (IRS) to enter into agreements with private or public nonprofit agencies and organizations, which will provide training and technical assistance to volunteers who provide FREE tax counseling and assistance to elderly individuals in the preparation of their federal income tax returns. This Act authorizes an appropriation of special funds, in the form of grants, to provide tax assistance to persons age 60 years of age or older. The IRS receives the funds as a line item in the budget appropriation. The total funds are distributed to the grant recipients for their expenses.

The Data Incubator is a Cornell-funded data science training organization. We run an advanced 8-week fellowship for PhDs looking to enter industry. A variety of innovative companies partner with The Data Incubator for their hiring and training needs, including LinkedIn, Genentech, Capital One, Pfizer, and many others. The program is free for admitted Fellows - see the FAQ below for more information. Fellows have the option to participate in the program either in person in New York City, Washington DC, the San Francisco Bay Area, or online.

With funding from the National Science Foundation (NSF), the American Educational Research Association (AERA) is pleased to announce the continuation of the AERA Grants Program, which provides small grants and training for researchers who conduct studies of education policy and practice using quantitative methods and including the analysis of data from the large-scale data sets sponsored by National Center for Education Statistics (NCES) and NSF

The purpose of the National Institute of Justice grants program is to encourage and support research, development, and evaluation to improve criminal justice policy and practice in the United States. The National Institute of Justice (NIJ), the Bureau of Justice Statistics (BJS), and the Office of Juvenile Justice and Delinquency Prevention (OJJDP) have entered into a partnership to request applications under this Data Resources Program (DRP) solicitation for original research using existing data available from the National Archive of Criminal Justice Data (NACJD) and other public sources.

The Bureau of Justice Statistics (BJS) is seeking applications under its Graduate Research Fellowship (GRF) Program. This program provides awards to accredited universities for doctoral research that uses criminal justice data or statistical series and focuses on crime, violence, and other criminal justice-related topics. BJS invests in doctoral education by supporting universities that sponsor students who demonstrate the potential to complete doctoral degree programs successfully in disciplines relevant to the mission of BJS, and who are in the final stages of graduate study. The primary goal of this solicitation is to increase the pool of researchers using criminal justice statistical data generated by BJS, thereby contributing solutions that better prevent and control crime and help ensure the fair and impartial administration of criminal justice in the United States.

Lucozade Ribena Suntory (LRS) is seeking technologies to quantify bubbles and their size distribution in sugar-sweetened drinks containing at least 2% sugar. These lab-based techniques will enable LRS to determine which approaches to improving carbonation are the most effective.

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 to lead basic science experimental studies involving humans, referred to in NOT-OD-18-212 as prospective basic science studies involving human participants. These studies fall within the NIH definition of a clinical trial and also meet the definition of basic research. Types of studies that should submit under this FOA include studies that prospectively assign human participants to conditions (i.e., experimentally manipulate independent variables) and that assess biomedical or behavioral outcomes in humans for the purpose of understanding the fundamental aspects of phenomena without specific application towards processes or products in mind. Studies conducted with specific applications toward processes or products in mind should submit under the companion PA-18-395.

The Algorithms for Threat Detection (ATD) program will support research projects to develop the next generation of mathematical and statistical algorithms for analysis of large spatiotemporal datasets with application to quantitative models of human dynamics. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the National Geospatial Intelligence Agency (NGA).

The Methodology, Measurement, and Statistics (MMS) Program is an interdisciplinary program in the Directorate for Social, Behavioral, and Economic Sciences that supports the development of innovative analytical and statistical methods and models for those sciences. MMS seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields within the social, behavioral, and economic sciences. As part of its larger portfolio, the MMS Program partners with a consortium of federal statistical agencies to support research proposals that further the production and use of official statistics.

The Statistics Program supports research in statistical theory and methods, including research in statistical methods for applications to any domain of science and engineering. The theory forms the base for statistical science. The methods are used for stochastic modeling, and the collection, analysis and interpretation of data. The methods characterize uncertainty in the data and facilitate advancement in science and engineering. The Program encourages proposals ranging from single-investigator projects to interdisciplinary team projects.

In 2016, the National Science Foundation (NSF) unveiled a set of "Big Ideas," 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (see https://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. As such, when responding to this solicitation, even though proposals must be submitted to the Directorate for Computer & Information Science & Engineering/Office of Advanced Cyberinfrastructure(CISE/OAC), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors. NSF's Harnessing the Data Revolution (HDR) Big Ideais a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering.

The purpose of this funding opportunity announcement (FOA) is to invite applications for the Data Coordinating Center (DCC) of the Early Phase Pain Investigation Clinical Network (EPPIC-Net). EPPIC-Net will serve as the cornerstone of the NIHs Helping to End Addiction Long-term (HEAL) Partnership. EPPIC-Net will provide a robust and readily accessible infrastructure for carrying out in depth phenotyping and biomarker studies in patients with specific pain conditions, and the rapid design and performance of high-quality Phase 2 clinical trials to test promising novel therapeutics for pain from partners in academia or industry. Studies will bring intense focus to patients with well-defined pain conditions and high unmet therapeutic needs. EPPIC-Net will consist of one Clinical Coordinating Center (CCC), one Data Coordinating Center (DCC) and approximately 10 specialized clinical centers (hubs). As the main data manager for pain research in the HEAL Initiative, the EPPIC-Net DCC will host and manage clinical, neuroimaging, biomarker, omics, and preclinical data from EPPIC-Net and other components of the HEAL Initiatives pain research program.

The intersection of justice and community-based health systems is a critical target for addressing the opioid crisis. The National Institute on Drug Abuse intends to establish the Justice Community Opioid Innovation Network (JCOIN) using the cooperative agreement mechanism. The purpose of the network is to establish a national consortium of investigators examining promising interventions and other approaches that can improve the capacity of the justice system to effectively respond to the opioid epidemic. The structure of the network shall consist of three highly integrated components - (1) Clinical Research Centers (each center will propose a study to be executed in at least 5 research performance sites), (2) a single, central Coordination and Translation Center, and (3) a single, central Methodology and Advanced Analytics Resource Center. This FOA solicits applications for Clinical Research Centers. This FOA runs in parallel with companion FOAs that seek applications for a single Coordination and Translation Center (RFA-DA-19-024), and a single Methodology and Advanced Analytics Resource Center (RFA-DA-19-023).

The NIEHS is establishing an infrastructure, the Human Health Exposure Analysis Resource (HHEAR) as a continuation of the Children's Health Exposure Analysis Resource (CHEAR). The goal of this consortium is to provide the research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research and to make that data publicly available as a means to improve our knowledge of the comprehensive effects of environmental exposures on human health throughout the life course. This FOA solicits Laboratories (Lab Hubs) providing a comprehensive suite of analysis of environmental exposures in samples such as dust, soil, and drinking water related to the immediate environment of individuals and linked to health endpoints. Each Hub will incorporate a developmental core to develop novel measures for environmental samples, expanding the number of current, commonly measured analytes, and developing new methods for detecting analytes in other environmental samples and providing additional insight into the sources of exposures that influence human health. The Environmental Monitoring Lab will also serve as a 'clearinghouse for evaluation and provision of emerging tools and technologies for personal exposure assessment to the client community.

The NIEHS and partnering Institutes and Centers are establishing an infrastructure, the Human Health Exposure Analysis Resource (HHEAR) as a continuation of the Children's Health Exposure Analysis Resource (CHEAR). The goal of this consortium is to provide the research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research and to make that data publicly available as a means to improve our knowledge of the comprehensive effects of environmental exposures on human health throughout the life course. This FOA solicits Laboratories (Lab Hubs) that can provide comprehensive measurement of the exposome using untargeted approaches (such as metabolomics using libraries enriched for environmental exposure biomarkers) for biological samples derived from extant or ongoing human health studies in the NIH extramural research community. Each Hub will incorporate an administrative core and a developmental core to improve the ability of untargeted platform to detect a wide range of environmental exposures and endogenous changes in response to environmental influences in a variety of biological matrices.

The purpose of this Limited Competition is to extend the Cure Glomerulonephropathy (CureGN) Network by continuing to support the Data Coordinating Center (DCC). The CureGN Network is a multicenter observational cohort study of glomerular disease patients with the goal of improving care for all glomerular disease patients. The operational components of the study include four multi-site Participating Clinical Centers (PCC) and a DCC. The CureGN Network, established in 2013, has recruited nearly 2,200 of 2,400 planned study participants and followed them with annual in-person clinic visits and interim telephone contacts. The DCC provides key leadership functions for this study in the areas of study organization, study design and implementation, overall management, data management and analysis, and biosample management. The CureGN PCCs will continue to follow-up previously enrolled participants under a separate FOA with a focus on clinical assessment of disease activity, developing novel methods for "virtual" study participation,and semi-quantitative assessment of histopathologic lesions. It is expected that a focus on disease features unique to glomerulonephropathy and outcomes relevant to the full range of patient experience, combined with carefully curated clinical and biochemical data, will uncover new predictors of the disease course, pathophysiologic processes, disease subtypes and novel treatment targets. The DCC will lead the study group to achieve the scientific goals of the next project period.

The purpose of this Funding Opportunity Announcement (FOA) is to support the development and validation of modeling and simulation methods and related tools to examine HIV transmission dynamics, make epidemic projections, and estimate the impact of HIV treatment and prevention. Investigators are expected to share these resources with other researchers. Funding for the final fourth year is dependent upon achieving applicant-proposed and pre-award negotiated Go/No-Go criteria.

The Bureau of Justice Statistics (BJS) is seeking applications under its Graduate Research Fellowship (GRF) Program, which provides awards to accredited universities for doctoral research that uses BJS’s criminal justice data or statistical series and focuses on one of the top Department of Justice (DOJ) priorities: enhancing national security and countering terrorism threats, securing the borders and enhancing immigration enforcement, reducing violent crime and promoting public safety, or prosecuting federal drug crimes and enforcing the rule of law.

This Notice of Funding Opportunity (NOFO) represents the first stage of a two-stage competition process. In the first stage, interested applicants will submit a concept paper addressing one of the program areas described in the the NOFO. Please note that applications that focus on threat actors other than Region Two and it proxies will not be considered. Full Announcement and application instructions are available via SAMS Domestic. Applications will only be accepted via SAMS Domestic. Note date and time change for the GEC informational conference call.

The Methodology, Measurement, and Statistics (MMS) Program is an interdisciplinary program in the Directorate for Social, Behavioral, and Economic Sciences that supports the development of innovative analytical and statistical methods and models for those sciences. MMS seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields within the social, behavioral, and economicsciences. As part of its larger portfolio, the MMS Program partners with a consortium of federal statistical agencies to support research proposals that further the production and use of official statistics. The MMS Program provides support through a number of different funding mechanisms. The following mechanisms are addressed in this solicitation: Regular Research Awards Awards for conferences and community-development activities Doctoral Dissertation Research Improvement (DDRI) Grants Research Experience for Undergraduates (REU) Supplements