The Center for Advancing the Societal Impacts of Research (CASIR) will advance the rigor, relevance, and practice of broader impacts (BI) by (a) cultivating and strengthening the existent and emerging BI expert community; (b) building capacity of researchers and educators to enhance and articulate the broader impacts of their work; and (c) creating socio-technical infrastructure able to adapt to stakeholder needs as BI continues to grow and evolve. CASIR builds on the foundational work of the National Alliance for Broader Impacts and will advance the practice of translating scientific research for public understanding and meet the growing demand for innovative BI training and resources.
The Center will develop resources and provide professional development to diverse audiences across multiple institution types and settings, including research-intensive universities, minority-serving institutions, technical and community colleges, and primarily undergraduate institutions in the jurisdictions of the Established Program to Stimulate Competitive Research. CASIR will directly enhance BI capacity at the individual, departmental, institutional, and national levels. Particular focus will be given to individual researchers and institutions representing and serving traditionally under-served populations. In addition, CASIR will facilitate dialogue and collaboration around evidence-based approaches to enhancing, evaluating, and documenting research impacts. Overall, the work will be valuable to the community of researchers driving discovery, the community of professionals who provide BI support and collaboration with researchers, and the public which stands to benefit from research and education projects that are well-designed and executed in a way that enhances their broader impacts.
NSF-wide support for this Center augments the Foundation's current efforts to educate research communities about the importance of the broader impacts criterion in the review process and to communicate the societal benefits of fundamental science and engineering research. CASIR's emphasis on documentation, evidence, and best practices will support an evidence-building approach to investing in discovery and innovation.
This award is co-funded by the Office of Integrative Activities (OIA) and the following Directorates: Biological Sciences (BIO), Computer and Information Science and Engineering (CISE), Education and Human Resources (EHR), Engineering (ENG), Geosciences (GEO), Mathematical and Physical Sciences (MPS), and Social, Behavioral, and Economic Sciences (SBE).
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
This project supports the Broader Impacts and Outreach Network for Institutional Collaboration (BIONIC), a national Research Coordination Network of Broader Impacts to support professionals who assist researchers to design, implement, and evaluate the Broader Impacts activities for NSF proposals and awards. All NSF proposals are evaluated not only on the Intellectual Merit of the proposed research, but also on the Broader Impacts of the proposed work, such as societal relevance, educational outreach, and community engagement. Many institutions have begun employing Broader Impacts support professionals, but in most cases, these individuals have not worked as a group to identify and share best practices. As a consequence, there has been much duplication of effort. Through coordination, BIONIC is expected to improve efficiency, reduce redundancy, and have significant impact in several areas: 1) Researchers will benefit from an increased understanding of the Broader Impacts merit review criterion and increased access to collaborators who can help them design, implement, and evaluate their Broader Impacts activities; 2) Institutions and research centers will increase their capacity to support Broader Impacts via mentoring for Broader Impacts professionals and consulting on how to build Broader Impacts support infrastructure, with attention to inclusion of non-research-intensive universities, Historically Black Colleges and Universities, and Hispanic- and Minority-Serving Institutions that may not have the resources to support an institutional Broader Impacts office; and 3) NSF, itself, will benefit from a systematic and consistent approach to Broader Impacts that will lead to better fulfillment of the Broader Impacts criterion by researchers, better evaluation of Broader Impacts activities by reviewers and program officers, and a system for evaluating the effectiveness of Broader Impacts activities in the aggregate, as mandated by Congress and the National Science Board. Through its many planned activities, BIONIC will ultimately help advance the societal aims that the Broader Impacts merit review criterion was meant to achieve.
The main goals of the project will be accomplished through the four specific objectives: 1) Identify and curate promising models, practices, and evaluation methods for the Broader Impacts community; 2) Expand engagement in, and support the development of, high-quality Broader Impacts activities by educating current and future faculty and researchers on effective practices; 3) Develop the human resources necessary for sustained growth and increased diversity of the Broader Impacts community; and 4) Promote cross-institutional collaboration and dissemination for Broader Impacts programs, practices, models, materials, and resources. BIONIC will facilitate collaborative Broader Impacts work across institutions, help leverage previously developed resources, support professional development, and train new colleagues to enter into the Broader Impacts field. This project will improve the quality and sustainability of Broader Impacts investments, as researchers continue to create unique and effective activities that are curated and broadly disseminated. BIONIC will create a network designed to assist NSF-funded researchers at their institutions in achieving the goals of the Broader Impacts Review Criterion. In so doing, BIONIC will promote Broader Impacts activities locally, nationally, and internationally and help to advance the Broader Impacts field.
This award is co-funded by the Divisions of Molecular and Cellular Biosciences and Emerging Frontiers in the Directorate for Biological Sciences and by the Division of Chemistry in the Directorate for Mathematics and Physical Sciences.
Scientists (and engineers) wishing to conduct public engagement do so in the context of established disciplinary norms and complex institutional systems that may support or limit their success. This report seeks to convey the known complexity, unique challenges, and opportunities for universities to better support for scientists in their public engagement work. The report is intended to drive discussion towards deeper exploration and development of actionable next steps.
This is a report from Workshop III: Academic Institutions, part of the Support Systems for Scientists' Communication and
Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data literate society. Yet conspicuously absent from the big data revolution is the field of teaching and learning. The revolution in big data must match a complementary revolution in a new kind of literacy, through a significant infusion of STEM education with the kinds of skills that the revolution in 21st century data-driven science demands. This project represents a concerted effort to determine what it means to be a big data literate citizen, information worker, researcher, or policymaker; to identify the quality of learning resources and programs to improve big data literacy; and to chart a path forward that will bridge big data practice with big data learning, education and career readiness.
Through a process of inquiry research and capacity-building, New York Hall of Science will bring together experts from member institutions of the Northeast Big Data Innovation Hub to galvanize big data communities of practice around education, identify and articulate the nature and quality of extant big data education resources and draft a set of big data literacy principles. The results of this planning process will be a planning document for a Big Data Literacy Spoke that will form an initiative to develop frameworks, strategies and scope and sequence to advance lifelong big data literacy for grades P-20 and across learning settings; and devise, implement, and evaluate programs, curricula and interventions to improve big data literacy for all. The planning document will articulate the findings of the inquiry research and evaluation to provide a practical tool to inform and cultivate other initiatives in data literacy both within the Northeast Big Data Innovation Hub and beyond.
This poster was presented at the 2016 Advancing Informal STEM Learning (AISL) PI Meeting held in Bethesda, MD on February 29-March 2. Earth Partnership: Indigenous Arts and Sciences (IAS) refines a model for integrating Indigenous and Western STEM education utilizing a 10-step framework for ecological restoration, project-based learning, and professional development. Through community dialogues and a collaborative design process with Native Nations of Wisconsin, Earth Partnership is developing an Indigenous Arts and Sciences approach that has allowed Native participants to voice their insights
The Nanoscale Science and Engineering Center entitled New England Nanomanufacturing Center for Enabling Tools is a partnership between Northeastern University, the University of Massachusetts Lowell, the University of New Hampshire, and Michigan State University. The NSEC unites 34 investigators from 9 departments. The NSEC is likely to impact solutions to three critical and fundamental technical problems in nanomanufacturing: (1) Control of the assembly of 3D heterogeneous systems, including the alignment, registration, and interconnection at three dimensions and with multiple functionalities, (2) Processing of nanoscale structures in a high-rate/high-volume manner, without compromising the beneficial nanoscale properties, (3) Testing the long-term reliability of nano components, and detect, remove, or prevent defects and contamination. Novel tools and processes will enable high-rate/high-volume bottom-up, precise, parallel assembly of nanoelements (such as carbon nanotubes, nanorods, and proteins) and polymer nanostructures. This Center will contribute a fundamental understanding of the interfacial behavior and forces required to assemble, detach, and transfer nanoelements, required for guided self-assembly at high rates and over large areas. The Center is expected to have broader impacts by bridging the gap between scientific research and the creation of commercial products by established and emerging industries, such as electronic, medical, and automotive. Long-standing ties with industry will also facilitate technology transfer. The Center builds on an already existing network of partnerships among industry, universities, and K-12 teachers and students to deliver the much-needed education in nanomanufacturing, including its environmental, economic, and societal implications, to the current and emerging workforce. The collaboration of a private and two public universities from two states, all within a one hour commute, will lead to a new center model, with extensive interaction and education for students, faculty, and outreach partners. The proposed partnership between NENCET and the Museum of Science (Boston) will foster in the general public the understanding that is required for the acceptance and growth of nanomanufacturing. The Center will study the societal implications of nanotechnology, including conducting environmental assessments of the impact of nanomanufacturing during process development. In addition, the Center will evaluate the economic viability in light of environmental and public health findings, and the ethical and regulatory policy issues related to developmental technology.
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TEAM MEMBERS:
Ahmed BusnainaNicol McGruerGlen MillerCarol BarryJoey Mead
This collaborative project aims to establish a national computational resource to move the research community much closer to the realization of the goal of the Tree of Life initiative, namely, to reconstruct the evolutionary history of all organisms. This goal is the computational Grand Challenge of evolutionary biology. Current methods are limited to problems several orders of magnitude smaller, and they fail to provide sufficient accuracy at the high end of their range. The planned resource will be designed as an incubator to promote the development of new ideas for this enormously challenging computational task; it will create a forum for experimentalists, computational biologists, and computer scientists to share data, compare methods, and analyze results, thereby speeding up tool development while also sustaining current biological research projects. The resource will be composed of a large computational platform, a collection of interoperable high-performance software for phylogenetic analysis, and a large database of datasets, both real and simulated, and their analyses; it will be accessible through any Web browser by developers, researchers, and educators. The software, freely available in source form, will be usable on scales varying from laptops to high-performance, Grid-enabled, compute engines such as this project's platform, and will be packaged to be compatible with current popular tools. In order to build this resource, this collaborative project will support research programs in phyloinformatics (databases to store multilevel data with detailed annotations and to support complex, tree-oriented queries), in optimization algorithms, Bayesian inference, and symbolic manipulation for phylogeny reconstruction, and in simulation of branching evolution at the genomic level, all within the context of a virtual collaborative center. Biology, and phylogeny in particular, have been almost completely redefined by modern information technology, both in terms of data acquisition and in terms of analysis. Phylogeneticists have formulated specific models and questions that can now be addressed using recent advances in database technology and optimization algorithms. The time is thus exactly right for a close collaboration of biologists and computer scientists to address the IT issues in phylogenetics, many of which call for novel approaches, due to a combination of combinatorial difficulty and overall scale. The project research team includes computer scientists working in databases, algorithm design, algorithm engineering, and high-performance computing, evolutionary biologists and systematists, bioinformaticians, and biostatisticians, with a history of successful collaboration and a record of fundamental contributions, to provide the required breadth and depth. This project will bring together researchers from many areas and foster new types of collaborations and new styles of research in computational biology; moreover, the interaction of algorithms, databases, modeling, and biology will give new impetus and new directions in each area. It will help create the computational infrastructure that the research community will use over the next decades, as more whole genomes are sequenced and enough data are collected to attempt the inference of the Tree of Life. The project will help evolutionary biologists understand the mechanisms of evolution, the relationships among evolution, structure, and function of biomolecules, and a host of other research problems in biology, eventually leading to major progress in ecology, pharmaceutics, forensics, and security. The project will publicize evolution, genomics, and bioinformatics through informal education programs at museum partners of the collaborating institutions. It also will motivate high-school students and college undergraduates to pursue careers in bioinformatics. The project provides an extraordinary opportunity to train students, both undergraduate and graduate, as well as postdoctoral researchers, in one of the most exciting interdisciplinary areas in science. The collaborating institutions serve a large number of underrepresented groups and are committed to increasing their participation in research.
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TEAM MEMBERS:
Tandy WarnowDavid HillisLauren MeyersDaniel MirankerWarren Hunt, Jr.
The Exploratorium comes together with the Education Development Center, Inverness Research, TERC, the University of Colorado - Boulder, and the University of Washington to form a Research+Practice (R+P) Collaboratory. The Collaboratory seeks to address and reframe the gap between research and practice in K-12 STEM education. This gap persists despite decades of work by many leading organizations, associations, and individuals. Attempts to close the gap have generally focused on creating resources and mechanisms that first explain or illustrate "what research says" and then invite educators to access and integrate findings into practice. Recently, however, attention has turned to the ways in which the medical sciences are addressing the gap between research and clinical practice through the developing field of "translational research." In medicine, the strategy has been to shift the focus from adoption to adaptation of research into practice. Implicit in the notion of adaptation is a bi-directional process of cultural exchange in which both researchers and practitioners come to understand how the knowledge products of each field can strengthen the professional activities in the other. Along these lines, the R+P Collaboratory is working with leading professional associations and STEM improvement efforts to leverage their existing knowledge and experience and to build sustainable strategies for closing the gap. The R+P Collaboratory is developing an online 'Go-To' Resource Center website that houses the resources collected, created, and curated by the Collaboratory. The Resource Center also has significant 'Take-Out' features, with all materials meta-tagged so that they can be automatically uploaded, reformatted, and integrated into the existing communication and professional development mechanisms (e.g., newsletters, digests, conferences, and websites) of a dozen leading professional associations within a Professional Association Partner Network. In light of new and emerging standards in the STEM disciplines, the Collaboratory is focusing its work on four salient and timely bodies of research: (a) STEM Practices, (b) Formative Assessment, (c) Cyberlearning, and (d) Learning as a Cross-Setting Phenomenon. Special emphasis is being placed on research and practice that focuses on the learning of children and youth from communities historically underrepresented in STEM fields.
The Observatory’s “Education and Outreach” (EDU) capability is designed to facilitate the interface between the Observatory and communities of users. Ultimately, our goal is to empower people to effectively use NEON data to enable understanding of continental-scale ecological change over time. To ensure that NEON science/data products are accessible to and usable by diverse communities, including scientists, students, educators, citizen scientists, decision-makers and the interested general public, we provide a suite of online data-centric resources/tools, workshops, a variety of courses, internship/research programs for undergraduates, and citizen science projects.