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resource project Professional Development, Conferences, and Networks
The Coalition for Science After School (CSAS) was established in 2004 in response to the growing need for more STEM (science, technology, engineering, and mathematics) learning opportunities in out-of-school time. CSAS sought to build this field by uniting STEM education goals with out-of-school time opportunities and a focus on youth development. Over a decade of work, CSAS Steering Committee members, staff and partners advocated for STEM in out-of-school-time settings, convened leaders, and created resources to support this work. CSAS leadership decided to conclude CSAS operations in 2014, as the STEM in out-of-school time movement had experienced tremendous growth of programming and attention to science-related out-of-school time opportunities on a national level. In its ten-year strategic plan, CSAS took as its vision the full integration of the STEM education and out-of-school time communities to ensure that quality out-of-school time STEM opportunities became prevalent and available to learners nationwide. Key CSAS activities included: (1) Setting and advancing a collective agenda by working with members to identify gaps in the field, organizing others to create solutions that meet the needs, identifying policy needs in the field and supporting advocates to advance them; (2) Developing and linking committed communities by providing opportunities for focused networking and learning through conferences, webinars, and other outreach activities; and (3) Identifying, collecting, capturing, and sharing information and available research and resources in the field. The leadership of the Coalition for Science After School is deeply grateful to the funders, partners, supporters, and constituents that worked together to advance STEM in out-of-school time during the last decade, and that make up today's rich and varied STEM in out-of-school time landscape. We have much to be proud of, but as a movement there is much more work to be done. As this work continues to expand and deepen, it is appropriate for the Coalition for Science After School to step down as the many other organizations that have emerged over the last decade take on leadership for the critical work that remains to be done. A timeline and summary of CSAS activities, products, and accomplishments is available for download on this page. All resources noted in the narrative are also available for download below.
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TEAM MEMBERS: Judy Nee Elizabeth Stage Dennis Bartels Lucy Friedman Jane Quinn Pam Garza Gabrielle Lyon Jodi Grant Frank Davis Kris Gutierrez Bernadette Chi Carol Tang Mike Radke Jason Freeman Bronwyn Bevan Leah Reisman Sarah Elovich Kalie Sacco
resource project Professional Development, Conferences, and Networks
This MSP-Start Partnership, led by Widener University, in partnership with Bryn Mawr College, Delaware County Community College, Philadelphia University, Lincoln University, and Haverford Township School District, is developing the Greater Philadelphia Environment, Energy, and Sustainability Science (ES)2 Teacher Leader Institute. Additional partners include the Center for Social and Economic Research at West Chester University, Delaware Valley Industrial Resource Center, Energy Coordinating Agency, US EPA Region 3 Office of Innovation, National Center for Science and Civic Engagement and its SENCER program, Pennsylvania Campus Compact, Philadelphia Higher Education Network for Neighborhood Development, Project Kaleidoscope, Sustainable Business Network of Greater Philadelphia, and the 21st Century Partnership for STEM Education. Building on a base of relationships developed over the past five years by many partners in the Math Science Partnership of Greater Philadelphia, the project brings together faculty and resources from multiple institutions (a "Mega-University" model) to develop a coherent, innovative, and content-rich, multi-year curriculum in environment, energy, and sustainability science for an Institute that leads to a newly developed Master's degree. Teachers participating in the Institute (A) improve their STEM content knowledge in areas critical to human environmental sustainability, (B) improve their use of project based/service learning and scientific teaching pedagogies in their teaching, (C) engage in real-world sustainability problem solving in an externship with a local business, non-profit or government organization that is active in the newly emerging green economy, and (D) develop important leadership skills as change agents in their schools to improve student interest, learning, and engagement in STEM education. The Institute aims to serve as a regional hub, connecting educational, business, non-profit and government organizations to strengthen the STEM education and workforce development pipelines in the region and simultaneously support positive social change toward environmental sustainability and citizenship. The project's "Mega-University" and "Institute as a regional connector-hub" approaches are powerful models of collaboration that could have widespread and significant national applicability as organizations and systems adjust to the new challenges of our global economy and to the needed transition to sustainability.
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TEAM MEMBERS: Stephen Madigosky William Keilbaugh Victor Donnay Bruce Grant Thomas Schrand
resource project Media and Technology
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 Warnow David Hillis Lauren Meyers Daniel Miranker Warren Hunt, Jr.