High quality accessible strategic information (including surveillance, survey and routine monitoring and evaluation and health information data) is needed to monitor and evaluate the impact of PEPFAR programs, and to determine changes in disease prevalence and incidence in both general and high risk populations. While progress has been made in the recent years, weaknesses in the national strategic information supported by the Ministry of Health and the PEPFAR program still remain. This FOA is to build on the work of the previous FOA by providing technical assistance to increase the technical and organizational capacity of the Ministry of Health of (MOH) and other USG implementing partners, in the collection, quality, and validity of data and information systems used for monitoring, planning, and prioritization of the National program to combat HIV/AIDS. Activities listed under this FOA are intended to support the Ministry of Health and National Institute of Health in development of survey and surveillance programs, routine monitoring and evaluation (M&E), and health information systems (HIS) that are needed in the collection of vital statistics including HIV survey and surveillance, mortality statistics, disease modeling and develop demographic estimate projections related to HIV and other diseases. In developing individual and institutional capacity, including support for the development of budgeting and accountancy skills, and SOPs for the implementation of surveys, accountability, oversight skills, and human resource skills will aid in the development of future programs, guidelines, and more efficient utilization of data in national HIV/AIDS program.

The proliferation and increasing availability of primary data has created the ability to evaluate research on many levels and degrees of complexity, but has also introduced some fundamental challenges to all who are involved in this process, including evaluators, administrators and researchers and others. In order to answer the increasing need for innovative approaches to scientific indicators and metrics development, Elsevier is launching "The Metrics Development Program". The program aims to advance research in this area by providing collaborative infrastructure and funding.

The National Science Foundation (NSF) Directorate for Engineering (ENG), Office of Emerging Frontiers in Research and Innovation (EFRI)continually seeks to further the progress in EFRI topic areas while broadening participation of underrepresented groups in science, technology, engineering, and mathematics (STEM) fields. This letter seeks to call your attention to an opportunity to pursue both of these goals through supplements to active EFRI research awards. Awardees with active EFRI research grants may apply for supplemental funding for this Research Experience and Mentoring (REM) program. REM funding will support costs associated with bringing Research Participants (RPs) into the laboratory over the summer to participate in research aligned with the EFRI-supported research goals. REM funds may also be used to extend the duration of structured mentoring into the academic year.

The Space/Time Analysis for Cybersecurity (STAC) program seeks to enable analysts to identify algorithmic resource usage vulnerabilities in software at levels of scale and speed great enough to support a methodical search for them in the software upon which the U.S. government, military, and economy depend. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice. See the full DARPA-BAA-14-60 document attached.

PAESMEM recognizes individuals for their mentoring of persons from underrepresented racial and ethnic groups, women, persons with disabilities, persons from disadvantaged socioeconomic backgrounds, and early career scientists and engineers. Historically underrepresented racial and ethnic groups in science, technology, engineering and mathematics (STEM) fields include African-Americans, Hispanic Americans, Native Americans, Pacific Islanders, Native Hawaiians, and Native Alaskans. These are groups who might not otherwise have considered or had access to opportunities in STEM education or careers. 

This fall, OARS will host a series of brown-bag workshops on navigating the NSF proposal process.  Workshops will be held select Tuesdays from noon to 1:00pm in Pearson 208.  You are welcome to attend any or all of the sessions.  Click through for dates and registration information.

The Science and Technology Centers (STC): Integrative Partnerships program supports innovative, potentially transformative, complex research and education projects that require large-scale, long-term awards. STCs conduct world-class research through partnerships among academic institutions, national laboratories, industrial organizations, and/or other public/private entities, and via international collaborations, as appropriate. They provide a means to undertake significant investigations at the interfaces of disciplines and/or fresh approaches within disciplines. STCs may involve any area of science and engineering that NSF supports

Hazards SEES seeks research projects that will productively cross the boundaries of the atmospheric and geospace, earth, and ocean sciences; computer and information science (including cyberinfrastructure); engineering; mathematics and statistics; and social, economic, and behavioral sciences. Successful proposals will integrate across multiple disciplines to promote research that advances new paradigms that contribute to creating a society resilient to hazards.

The purpose of the NSF Graduate Research Fellowship Program (GRFP) is to help ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science and engineering. The GRFP provides three years of support for the graduate education of individuals who have demonstrated their potential for significant achievements in science and engineering.

The goal of the Office of Science Graduate Student Research (SCGSR) program is to prepare graduate students for science, technology, engineering, or mathematics (STEM) careers critically important to the DOE Office of Science mission, by providing graduate thesis research opportunities at DOE laboratories.  The SCGSR program provides supplemental awards to outstanding U.S. graduate students to pursue part of their graduate thesis research at a DOE laboratory in areas that address scientific challenges central to the Office of Science mission. The research opportunity is expected to advance the graduate students' overall doctoral thesis while providing access to the expertise, resources, and capabilities available at the DOE laboratories.

The purpose of this Funding Opportunity Announcement (FOA) is to solicit applications for graduate training programs in Big Data Science, for the expressed purpose of training the next generation of scientists who will develop computational and quantitative approaches and tools needed by the biomedical research community to work with biomedical Big Data in the biomedical sciences (see definition under Funding Opportunity Description). This proposed training initiative should prepare qualified individuals for careers in developing new technologies and methods that will allow biomedical researchers to maximize the value of the growing volume and complexity of biomedical data.

The purpose of this Funding Opportunity Announcement (FOA) is to solicit revisions (competitive supplements) to add a Big Data Science track to currently funded T32 institutional training grants for the expressed purpose of training the next generation of scientists who will develop computational and quantitative approaches and tools needed by the biomedical research community to work with biomedical Big Data in the biomedical sciences (see definition under Funding Opportunity Description). This proposed training initiative should prepare qualified individuals for careers in developing new technologies and methods that will allow biomedical researchers to maximize the value of the growing volume and complexity of biomedical data.

The purpose of this Funding Opportunity Announcement (FOA) is to solicit revisions (competitive supplements) to add a Big Data Science track to active T15 institutional training grants for the expressed purpose of training the next generation of scientists who will develop computational and quantitative approaches and tools needed by the biomedical research community to work with biomedical Big Data in the biomedical sciences (see definition under Funding Opportunity Description). This proposed training initiative should prepare qualified individuals for careers in developing new technologies and methods that will allow biomedical researchers to maximize the value of the growing volume and complexity of biomedical data.

The Science Undergraduate Laboratory Internship (SULI) program encourages undergraduate students to pursue science, technology, engineering, and mathematics (STEM) careers by providing research experiences at the Department of Energy (DOE) laboratories. Selected students participate as interns appointed at one of 16 participating DOE laboratories. They perform research, under the guidance of laboratory staff scientists or engineers, on projects supporting the DOE mission.

This funding opportunity announcement (FOA) encourages Small Business Innovation Research (SBIR) grant applications from small business concerns (SBCs) that propose development of a broad base of innovative technologies in biomedical computing, informatics, and Big Data Science that will support rapid progress in areas of scientific opportunity in biomedical research. It is expected that this research and development is conducted in the context of important biomedical and behavioral research problems. As such, applications are intended to develop enabling technologies that could apply to the interests of most NIH Institutes and Centers and range from basic biomedicine to research in all relevant organ systems and diseases. Major themes of research include collaborative environments; data integration; analysis and modeling methodologies; and novel computer science and statistical approaches. New opportunities are also emerging as large and complex data sets are becoming increasingly available to the research community.

The NIH is interested in promoting a broad base of research and development of technologies in biomedical computing, informatics, and Big Data Science that will support rapid progress in areas of scientific opportunity in biomedical research. It is expected that this research and development is conducted in the context of important biomedical and behavioral research problems. As such, applications are intended to develop enabling technologies that could apply to the interests of most NIH Institutes and Centers and range from basic biomedicine and including research to all relevant organ systems and diseases. Major themes of research include collaborative environments; data integration; analysis and modeling methodologies; and novel computer science and statistical approaches. New opportunities are also emerging as large and complex data sets are becoming increasingly available to the research community. This initiative aims to address biomedical research areas in biomedical computing, informatics, and Big Data science through the early stage development of new software, tools and related resources, as well as the fundamental research (e.g., methodologies and approaches) leading up to that development.

The Russell Sage Foundation, the principal American foundation devoted exclusively to research in the social sciences, seeks applications for research projects that deepen our understanding of intergenerational mobility in the U.S. by using recently released statistics on mobility from the Equality of Opportunity Project.   Using Internal Revenue Service (IRS) administrative tax records on earnings for more than 40 million children and their parents, Chetty, Hendren, Kline, and Saez (2014) have made available new public use statistics on intergenerational mobility in the U.S. Applicants from all of the social sciences are encouraged to submit proposals utilizing this new data resource (possibly in combination with other data sources).

Pathway supports innovative basic, clinical, translational, epidemiological, behavioral, or health services research relevant to any diabetes type, diabetes-related disease state, or diabetes complication. The Association seeks exceptional candidates from a broad range of disciplines, including medicine, biology, chemistry, computing, physics, mathematics and engineering.

CCOM's Summer Undergraduate Research Fellowship (SURF) program is designed to create research experiences for undergraduate students who are interested in pursuing graduate work. SURF is aimed primarily at students who are working toward a degree in science, engineering, or math and are completing their junior year.

Our Data-Driven Discovery Initiative seeks to advance the people and practices of data-intensive science, to take advantage of the increasing volume, velocity, and variety of scientific data to make new discoveries. Within this initiative, we're supporting data-driven discovery investigators - individuals who exemplify multidisciplinary, data-driven science, coalescing natural sciences with methods from statistics and computer science. These innovators are striking out in new directions and are willing to take risks with the potential of huge payoffs in some aspect of data-intensive science. Successful applicants must make a strong case for developments in the natural sciences (biology, physics, astronomy, etc.) or science enabling methodologies (statistics, machine learning, scalable algorithms, etc.), and applicants that credibly combine the two are especially encouraged. Note that the Science Program does not fund disease targeted research. It is anticipated that the DDD initiative will make about 15 awards at ~$1,500,000 each, at $200K-$300K/year for five years.