In this paper we investigate how people become engaged with open data, what their motivations are, and the barriers and facilitators program participants perceive with regard to using open data effectively.
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Jack ShanleyCamillia MatukOded NovGraham Dove
This commentary introduces a preliminary conceptual framework for approaching putative effects of scholarly online systems on collaboration inside and outside of academia. The first part outlines a typology of scholarly online systems (SOS), i.e., the triad of specialised portals, specialised information services and scholarly online networks which is developed on the basis of nine German examples. In its second part, the commentary argues that we know little about collaborative scholarly community building by means of SOS. The commentary closes with some remarks on further research questions
Mathematics is the foundation of many STEM fields and success in mathematics is a catalyst for success in other scientific disciplines. Increasing the participation of women and other under-represented groups in the mathematics profession builds human capital that produces a diverse pool of problem solvers in business and industry, research mathematicians, faculty at all levels, and role models for the next generation. Existing support and enrichment programs have targeted women in mathematics at different stages in their undergraduate and graduate education, with different strategies to building community, creating a sense of belonging, and promoting a growth mind set. These strategies challenge some of the most common obstacles to success, including isolation, stereotype threat, not committing to mathematics early enough, and imposter syndrome. Acknowledging the diversity among women in terms of socio-economic background and educational background, this project proposes to examine the effectiveness of these programs through the lens of two primary questions: (1) Which elements of these programs are most critical in the success of women, as a function of their position along these distinct diversity axes?, and (2) which features of these programs are most effective as a function of the stage of the participant's career? These questions are guided by the rationale that a better understanding of, and improved pathways by, which programs recruit and retain undergraduate and graduate women in mathematics has the strong potential to increase the representation of women among mathematics PhDs nationwide.
This project seeks to increase and diversify the number of professional mathematicians in the United States by identifying and proliferating best practices and known mechanisms for increasing the success of women in mathematics graduate programs, particularly women from under-represented groups. The PIs on this proposal, all of whom are leaders of initiatives that have been active for nearly two decades, will work with experts in management, data collection and reporting, and communications to address the following three challenges: (1) develop a common system of measuring the effectiveness of each element in these initiatives; (2) develop a process for effective, collective decision making; and (3) create connections between existing activities and resources. This project is both exploratory research and effectiveness research. The project team first will explore the contextual factors that serve to support or inhibit female pursuit of mathematics doctorates by interviewing a variety of women who were undergraduate mathematics majors in the past, as well as current professional mathematicians. They then will use this information to better understand the most effective features of various current and past initiatives that are trying to increase the participation of women in advanced mathematics. A key stakeholder meeting will develop a process for effective, collective decision-making, to utilize what the project team learns from the interviews. The leadership team will develop a website with discussion board and social media components to highlight best practices and facilitate a virtual community for women interested in mathematics. Finally, a distillation of program elements and their targeted effectiveness will inform the selection of interconnected activities to test on a scalable model. These prototypes will be implemented at several sites chosen to represent a diversity of constituencies and local support infrastructure.
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TEAM MEMBERS:
Judy WalkerAmi RadunskayaRuth HaasDeanna Haunsperger
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 primary purpose of the proposed grant is to support the dissemination and institutionalization of a model of educational partnerships among academic medical centers, undergraduate colleges, and local school systems. This model was created under the umbrella of AAMC's Project 3000 by 2000 . With support from SEPA, during 1994-1997 we will consolidate and extend the accomplishments we achieved under our original SEPA, 1991-1994 (SEPA-I). In 1991, the AAMC began Project 3000 by 2000 . The activities included in this proposal support Project 3000 by 2000 , but are not designed to only recruit students for medical school. Minority underrepresentation in medical schools largely is due to the same fundamental problem that causes minority underrepresentation in health-related Ph.D. programs: an insufficient number of minority students receive adequate academic preparation-especially in the sciences-prior to college. The projects proposed here are designed to address this basic problem and hence promote greater racial and ethnic diversity in all of the health sciences. Eight programmatic activities are proposed, five of which were initiated during SEPA I: (1) The annual publication of the Secondary School Science Minority Achievement Registry (S 3 MAR) , a directory of educational programs for minority students interested in the health sciences and a registry of the students participating in them; (2) NNHeSPA News , the quarterly newsletter of the National Network for Health Science Partnerships ( NNHeSPA) ; (4) An update of the Project 3000 by 2000 Technical Assistance Manual (Volume II); (5) Presentations to a wide variety of groups and strategically targeted customized data analysis. New projects include: (6) NNHeSPA On Line!, a computer bulletin board accessible through the Internet to facilitate ongoing communication among precollege, college and graduate health science educators in NNHeSPA ; (7) S 3 MAR Grapevine , a quarterly newsletter for high school stuents listed in the S 3 MAR ; (8) Intensive regional campaigns to promote health science partnerships in California, Texas, and the South-three areas of the country with large minority populations and severe problems of underrepresentation.
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.