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This announcement seeks revolutionary research ideas for topics not being addressed by ongoing MTO programs or other published solicitations.

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, ITF invites 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 front-line 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.

Increasingly, undergraduate computer science (CS) programs are being called upon to prepare larger and more diverse student populations for careers in both CS and non-CS fields, including careers in scientific and non-scientific disciplines. Many of these students aim to acquire the understandings and competencies needed to learn how to  use computation collaboratively across different contexts and challenging problems. However, standard CS course sequences do not always serve these students well. With this solicitation, NSF will support teams of Institutions of Higher Education (IHEs) in re-envisioning the role of computing in interdisciplinary collaboration within their institutions. In addition, NSF will encourage partnering IHEs to use this opportunity to integrate the study of ethics into their curricula, both within core CS courses and across the relevant interdisciplinary application areas.

The Cyberinfrastructure for Sustained Scientific Innovation (CSSI) umbrella program seeks to enable funding opportunities that are flexible and responsive to the evolving and emerging needs in cyberinfrastructure. This program continues the CSSI program by removing the distinction between software and data elements/framework implementations, and instead emphasizing integrated cyberinfrastructure services, quantitative metrics with targets for delivery and usage of these services, and community creation.

The Cyberinfrastructure for Sustained Scientific Innovation (CSSI) umbrella program encompasses the long-running Data Infrastructure Building Blocks (DIBBs) and Software Infrastructure for Sustained Innovation (SI2) programs, as NSF seeks to enable funding opportunities that are flexible and responsive to the evolving and emerging needs in data and software cyberinfrastructure.

The National Science Foundation (NSF) seeks to further develop and nurture a national innovation ecosystem that builds upon fundamental research to guide the output of scientific discoveries closer to the development of technologies, products, processes and services that benefit society. The goal of the program is to dramatically reduce the period of time necessary to bring a promising idea from its inception to widespread implementation. Through this solicitation, NSF is seeking to expand and sustain the network of Innovation Corps (I-CorpsTM) (hereinafter I-Corps) Nodes that work cooperatively to support the development of innovations that will benefit society. NSF plans to build upon the established National Innovation Network (consisting of I-Corps Nodes and Sites) to further support the needs for innovation research, education and training. The interconnected nodes of the network are expected to be diverse in research areas, resources, tools, programs, capabilities, and geographic locations - providing the network with the flexibility to grow or reconfigure as needs arise.

The purpose of this project is to develop, test, and improve survey and data collection instruments and methodologies for OJJDP’s corrections data collections, the Census of Juveniles in Residential Placement (CJRP) and the Juvenile Residential Facility Census (JRFC).

The Campus Cyberinfrastructure (CC*) program invests in coordinated campus-level networking and cyberinfrastructure improvements, innovation, integration, and engineering for science applications and distributed research projects. Learning and workforce development (LWD) in cyberinfrastructure is explicitly addressed in the program. Science-driven requirements are the primary motivation for any proposed activity.

A grand challenge in computing is the creation of machines that can proactively interpret and learn from data in real time, solve unfamiliar problems using what they have learned, and operate with the energy efficiency of the human brain. While complex machine-learning algorithms and advanced electronic hardware (henceforth referred to as 'hardware') that can support large-scale learning have been realized in recent years and support applications such as speech recognition and computer vision, emerging computing challenges require real-time learning, prediction, and automated decision-making in diverse domains such as autonomous vehicles, military applications, healthcare informatics and business analytics.

The Synergistic Population and Data Science Award mechanism supports multi-institutional partnerships that will leverage existing prostate cancer patient datasets or cohorts to answer questions that will make a significant impact in addressing the FY19 PCRP Overarching Challenges. Thus, applications must be responsive to at least one of the FY19 PCRP Overarching Challenges. The award is intended to support both the development of infrastructure to facilitate access to multiple datasets/cohorts by a team of investigators, as well as conducting hypothesis-based studies utilizing the multi-institutional datasets. To qualify for this mechanism, a minimum of three institutions and three well-annotated patient datasets/cohorts is required. Dataset Coordination: Central to the pursuit of the hypothesis proposed in the application is the development of the infrastructure to facilitate multi-institutional access to the identified datasets/cohorts. The application must describe the key elements that will need to be in place in order to facilitate the multi-institution collaboration, including: * Administrative and management plans for decision-making and allocation of resources * Description of the dataset logistics, including storage, how data will be shared among PIs/institutions, and plans for data harmonization * Description of key members and roles of the multi-institutional research team * Communication plans among the research team members to discuss research progress and results * Regulatory plan, including coordination of local Institutional Review Board (IRB) approvals * Data security and integrity measures * Intellectual property plan * Plan for disseminating information and distributing data to the prostate cancer research community

This funding opportunity enables engineering and computer science departments to lead the nation by successfully achieving significant sustainable changes necessary to overcome longstanding issues in their undergraduate programs and educate inclusive communities of engineering and computer science students prepared to solve 21st century challenges.

This funding opportunity enables engineering and computer science departments to lead the nation by successfully achieving significant sustainable changes necessary to overcome longstanding issues in their undergraduate programs and educate inclusive communities of engineering and computer science students prepared to solve 21st century challenges.

The mission of DOE's Fossil Energy R&D Program is to ensure the nation can continue to rely on traditional resources for clean, secure and affordable energy while enhancing environmental protection. The Carbon Capture program focuses on developing technologies to control emissions from either post-combustion units (e.g., pulverized coal) or pre-combustion (e.g., Integrated Gasification Combined Cycle, or IGCC). First Generation technologies (i.e. those that are currently being demonstrated or that are commercially available) exist, and Second Generation Technologies (i.e., those that include technology components currently in R&D and are expected to be ready for demonstration in the 2020-2025 timeframe) have shown potential for improvement towards an economic goal for cost of capture at less than $40/tonne, but are still cost prohibitive for broad deployment to the existing coal fleet. For Fiscal Year (FY) 2018, the Carbon Capture Program will solicit applications under this FOA to develop technologies in the area of pre-combustion carbon capture. Approaches that look at either hydrogen (H2) separation or carbon dioxide (CO2) separation will be accepted. The carbon capture technologies developed through this FOA will have direct application to coal gasification processes where coal derived synthesis gas or hydrogen are produced. Additionally, because gasification technology is often used to produce industrial chemicals, the technologies developed through this FOA will also be directly applicable to industrial gasifiers. Finally, as these technologies are successfully developed, they can represent an export opportunity to other countries that have a larger installed base of gasifiers than the U.S.

The CISE Research Infrastructure (CRI) program drives discovery and learning in the core CISE disciplines of the three participating CISE divisions by supporting the creation and enhancement of world-class research infrastructure that will support focused research agendas in computer and information science and engineering. This infrastructure will enable CISE researchers to advance the frontiers of CISE research. Further, through the CRI program, CISE seeks to ensure that individuals from a diverse range of academic institutions, including minority-serving and predominantly undergraduate institutions, have access to such infrastructure.

Digital Impact (formerly Markets for Good) is an initiative of the Digital Civil Society Lab at the Stanford Center on Philanthropy and Civil Society. We work to improve the digital infrastructure for civil society and help social sector practitioners and policymakers use digital resources safely, ethically, and effectively for maximum impact.