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This Funding Opportunity Announcement (FOA) solicits grant applications proposing exploratory research projects focused on the early-stage development of highly innovative technologies that improve the quality of the samples used for cancer research or clinical care. This includes new capabilities to address issues related to pre-analytical degradation of targeted analytes during the collection, processing, handling, and/or storage of cancer-relevant biospecimens. The overall goal is to support the development of highly innovative technologies capable of maximizing or otherwise interrogating the quality and utility of biological samples used for downstream analyses. This FOA will support the development of tools, devices, instrumentation, and associated methods to preserve or protect sample integrity, or establish verification criteria for quality assessment/quality control and handling under diverse conditions. These technologies are expected to accelerate and/or enhance research in cancer biology, early detection and screening, clinical diagnosis, treatment, epidemiology, or address issues associated with cancer health disparities, by reducing pre-analytical variations that affect biospecimen sample quality.

Communities in the United States (US) and around the world are entering a new era of transformation in which residents and their surrounding environments are increasingly connected through rapidly-changing intelligent technologies. This transformation offers great promise for improved wellbeing and prosperity, but poses significant challenges at the complex intersection of technology and society. The goal of the NSF Smart and Connected Communities (S&CC) program solicitation is to accelerate the creation of the scientific and engineering foundations that will enable smart and connected communities to bring about new levels of economic opportunity and growth, safety and security, health and wellness, and overall quality of life. This goal will be achieved through integrative research projects that pair advances in technological and social dimensions with meaningful community engagement.

WHO CAN APPLY? I-Corps@Ohio funds will be offered on a competitive basis to teams of faculty researchers and graduate students developing institution-based technologies from Ohio colleges and universities. Under the supervision of business and entrepreneurial mentors, teams will develop market-driven value propositions and scalable business models around their technologies and attract follow on funding to support company formation and market entry. APPLICATION PROCESS The I-Corps@Ohio proposal submission process consists of five steps: 1. mandatory meeting with the appropriate TTO representative(s) at the PI's institution; 2. team selection of technology track (science and engineering or medtech); 3. registration of all team members in the online portal; 4. proposal submission; and 5. full team interview with I-Corps@Ohio program representatives. All teams are required to complete the online profile and submission questionnaire beginning October 23, 2019. Deadline to apply is January 15, 2019. The PI may complete this information or designate another member of the team as the lead member. Subsequent members of the team will be invited to join by the lead member through the application portal and must complete his or her profile. Every effort should be made to identify all team members prior to submitting the online proposal submission questionnaire. Additional team members may be added later. You will be asked to select from two tracks: Medtech Track: Teams will select Medtech Track if the subject technology is in the form of medical devices, diagnostics, medicines, vaccines, software, testing procedures and systems and is developed to solve a health/clinical problem and improve the quality of human life. Science and Engineering (S&E) Track: Teams will select S&E Track if the technology does not fit into the Medtech category.

NSF has long supported transformative research in artificial intelligence (AI) and machine learning (ML). The resulting innovations offer new levels of economic opportunity and growth, safety and security, and health and wellness. At the same time, broad acceptance of large-scale deployments of AI systems relies critically on their trustworthiness which, in turn, depends upon the collective ability to ensure, assess, and ultimately demonstrate the fairness, transparency, explainability, and accountability of such systems. Importantly, the beneficial effects of AI systems should be broadly available across all segments of society. NSF and Amazon are partnering to jointly support computational research focused on fairness in AI, with the goal of contributing to trustworthy AI systems that are readily accepted and deployed to tackle grand challenges facing society. Specific topics of interest include, but are not limited to transparency, explainability, accountability, potential adverse biases and effects, mitigation strategies, validation of fairness, and considerations of inclusivity. Funded projects will enable broadened acceptance of AI systems, helping the U.S. further capitalize on the potential of AI technologies. Although Amazon provides partial funding for this program, it will not play a role in the selection of proposals for award.

The purpose of the 2020 HD4A CFP is primarily to award data access at no cost from one of eight anticipated data providers to successful applicants. Most selected projects will not receive a financial award for personnel or other project-related costs. However, limited funding up to $100,000 per project is available for a small number of projects from principal investigators who have not previously received external research funding.

An initiative of the Open Technology Fund, the Internet Freedom Fund strives to build the capacity of individuals, organizations, and companies working to advance technology-centered efforts designed to strengthen Internet freedom and promote human rights by circumventing repressive censorship and surveillance, improving related digital security capabilities, and contributing to the overall health of the Internet. To that end, the fund welcomes applications focused on creating new open source circumvention technologies that fill a current need of target users; improve the security, usability, and adaptability of existing open source Internet freedom technologies; and/or provide new or deeper insight into the challenges of frontline communities that ultimately contribute to the improvement of technological solutions. The fund also supports applied research; research that focuses on real-time monitoring and analysis of both technical and political threats to Internet freedom; new content redistribution methods able to reintroduce content behind firewalls; and next-generation tools that move beyond traditional "cat-and-mouse" circumvention techniques.

Pandemics have far reaching consequences that range from deaths to shutting down the economy as we have witnessed during the recent COVID19 crisis. Hence there is a need to be better prepared for such pandemics. We need to solve problems ranging from predictive analytics innovative devices for saving lives to technology for devising voting machines. The social and economic impact for the above areas is huge and some of the work can be transformative and save lives. Areas of interest to us include, but are not limited to: - Mathematical models for spread and the impact of pandemics. - Scalable simulation techniques for pandemics (e.g. with multi agents). - Biomedical/Nano sensor devices for detecting symptoms and agents. - Algorithms for rapid exploration of the drug screening and discovery workflows (e.g. use reinforcement learning) - Advanced computational biology techniques for sequencing, detecting viral evolution (e.g. in COVID-19). - Algorithms and systems for contact tracing (with privacy preserving). - Algorithms and recommendation systems for curating media and news. - Collaboration techniques for more effective health, and efficiency during pandemics. Improved identity and security techniques. - Distributed Ledgers, their applications and their governance for and during pandemics. - Pandemic data science - understanding the patterns and the impact of a pandemic like COVID-10. Creation of curated data sets. We are interested in both the science and technology aspects of these problem sets, and, particularly, in the intersections between them.

The purpose of this notice of funding opportunity (NOFO) is to support a research project that aims to develop and implement an influenza-like illness (ILI)-specific student absentee monitoring system in kindergarten through twelfth grade (K-12) schools and assess its usability for early detection of influenza, SARS-CoV-2, and other respiratory pathogen transmission in schools and surrounding communities. To achieve this aim, the project team will: 1) rapidly determine the causes of school absenteeism in students across selected school district(s) over a three-year period; 2) detect within-household transmission of influenza and SARS-CoV-2 in households from which a student has been absent from school due to ILI; and 3) assess comparability between influenza-specific and SARS-CoV-2-specific student absenteeism data from the participating schools and multiple layers of complementary influenza and SARS-CoV-2 surveillance data routinely collected in the health care facilities serving the general population of this school district.

The INSPIRE awards program was established to address some of the most complicated and pressing scientific problems that lie at the intersection of traditional disciplines.  It is intended to encourage investigators to submit bold, exceptional proposals that some may consider to be at a disadvantage in a standard NSF review process; it is not intended for proposals that are more appropriate for existing award mechanisms.

The Ethics Education in Science and Engineering (EESE) program funds research and educational projects that improve ethics education in all fields of science and engineering that NSF supports, with priority consideration given to interdisciplinary, inter-institutional, and international contexts.  Although the primary focus is on improving ethics education for graduate students in NSF-funded fields, the proposed programs may benefit advanced undergraduates as well.

This funding opportunity invites applications that integrate the use of computational approaches to identify individual drugs currently used for other conditions with potential to be efficacious in AD or AD-related dementias (as single drugs or as drug combinations) with proof-of-concept efficacy studies in cell-based models, animal models and/or humans. 

The NIGMS Postdoctoral Research Associate (PRAT) Programs overarching goal is to provide high quality postdoctoral research training in the basic biomedical sciences, in NIH intramural research laboratories, to a diverse group of postdoctoral fellows to prepare them for leadership positions in biomedical careers. The research projects proposed should focus on NIGMS mission-related areas of basic biomedical science. These include cell biology, biophysics, genetics, developmental biology, pharmacology, physiology, biological chemistry, computational biology, technology development and bioinformatics. Studies employing model organisms are encouraged

Program supports two main types of research: (i) innovations in general-purpose methodology related to optimization, stochastic modeling, and decision and game theory; and (ii) research grounded in relevant applications that require the development of novel and customized analytical and computational methodologies. Both types of proposals must be motivated by an application area of interest to the program. Application areas of interest include supply chains and logistics; risk management; healthcare; environment; energy production and distribution; mechanism design and incentives; production planning, maintenance, and quality control; and national security

The National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) requests applications for the NIAMS Core Centers for Clinical Research (CCCR) (P30) within its mission. The CCCRs will provide avenues to advance the methodological sciences that support clinical research within and across the NIAMS' portfolio of diseases. The overall goals of the CCCR are to advance prevention, diagnosis and treatment of musculoskeletal, rheumatologic, and skin diseases by developing and fostering the implementation of novel methods, metrics, and outcome measures that address critical existing and emerging clinical research needs. 

The purpose of the BRAIN Initiative Fellows (F32) program is to enhance the research training of promising postdoctorates, early in their postdoctoral training period, who have the potential to become productive investigators in research areas that will advance the goals of the BRAIN Initiative. Applications are encouraged in any research area that is aligned with the BRAIN Initiative, including neuroethics. Applicants are expected to propose research training in an area that complements their predoctoral research. Formal training in quantitative perspectives and analytical tools is expected to be an integral part of the proposed research training plan. In order to maximize the training potential of the F32 award, this program encourages applications from individuals who have not yet completed their terminal doctoral degree and who expect to do so within 12 months of the application due date. On the application due date, candidates may not have completed more than 6 months of postdoctoral training.  

This FOA solicits development of innovative adaptations of existing technologies to enable their use for readily identifying, manipulating, or analyzing glycans and their biological binding partners. This may encompass the adaptation of commonly used laboratory-based or computational tools to enable their facile application to glycoscience for the first time, as well as the adaptation of tools presently used by specialists in glycoscience to make them significantly more straightforward and accessible for non-specialists. It is possible that a project might simplify a current specialized approach by migrating it to a more commonly used platform, developing automation for data acquisition and interpretation, or redesigning the present tool to make it easier to use. This announcement differs from the related FOA RFA- RM-16-022 which solicits new or more effective tools or technologies, thus representing an expansion of existing technologies.

On September 13, WBI will be hosting its 3rd OEA Collider Event, this time on the topic of Human Performance Enhancement. Please block your calendars from 1:30 till 3:30 and plan to join us to learn more about the opportunities within this massive market space. For the purposes of this project, we're defining Human Performance Enhancement like this: As the world becomes more complex, the demands on human performance continue to increase. Athletic endeavors, military requirements, continuing independence into one's later years are all examples of market-driven needs for human performance enhancement. Strength, speed, endurance, vigilance, multi-tasking, mental-acuity, and recovery are all enhancement opportunities of interest. Formal evaluation of blue papers will begin on approximately 17 October 2016. Wright Brothers Institute continues to work diligently on our pilot project to refine a commercialization process for regional innovators. In March we had an OEA Collider event focused on the Precision Agriculture market which has resulted in 8 Blue Paper submissions and 2 on-going projects to commercialize several of the concepts explained in those blue papers. We're making significant progress toward providing real market solutions with a combination of several innovative technologies!

This FOA invites applications for the Microphysiological Systems (MPS) for Disease Modeling and Efficacy Testing Program to develop highly reproducible and translatable in vitro models for preclinical efficacy studies through discovery and validation of translatable biomarkers, development of standardized methods for preclinical efficacy testing and definitive efficacy testing of candidate therapeutics using best practices and rigorous study design. An essential feature will be a multidisciplinary approach that brings together experts in bioengineering, microfluidics, material science, "omic" sciences, computational biology, disease biology, pathology, electrophysiology, pharmacology, biostatistics and clinical science.

This FOA invites applications for the Microphysiological Systems (MPS) for Disease Modeling and Efficacy Testing Program to develop highly reproducible and translatable in vitro models for preclinical efficacy studies through discovery and validation of translatable biomarkers, development of standardized methods for preclinical efficacy testing and definitive efficacy testing of candidate therapeutics using best practices and rigorous study design. An essential feature will be a multidisciplinary approach that brings together experts in bioengineering, microfluidics, material science, "omic" sciences, computational biology, disease biology, pathology, electrophysiology, pharmacology, biostatistics and clinical science.

The Board of Regents is seeking high quality, focused cooperative education and internship program proposals from Ohio institutions of higher education and their partners. This program has been funded  through one-time casino licensing fees; it is expected that the funds will be awarded to build systems to sustain co-ops and internships beyond the direct investment from the State and to ensure these workbased learning opportunities are relevant to the needs of students and businesses. Funds will be awarded to build the capability and capacity of programs to engage more students, more businesses,  and more faculty members in co-op and internship programs. The programs should address the talent needs of JobsOhio key industries.