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.
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.
resourceprojectProfessional Development, Conferences, and Networks
TERC and ASTC will collaborate with thirteen science and technology centers around the country to create and implement a professional development program for science center staff. The goal of this project is to use exhibits and educational programs as a vehicle for building a presence for mathematics in science centers nationwide. The participating science centers will develop mathematics initiatives while working with TERC and ASTC to create workshops on topics such as data, measurement, algebra, national standards and visitor accessibility. Start-up sites will create training networks in California, Florida, Massachusetts, Missouri, Minnesota, New Jersey, New York, North Carolina, Oregon and Texas. Workshops will be offered on-line and also at local and national conferences. The project will produce a publication entitled "Promising Math Practices in Science Centers" that will highlight best practices for the incorporation of mathematics into museum programs. It is anticipated that the number of participating institutions will increase to 120 during the life of the project.
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TEAM MEMBERS:
Janice MokrosMarlene KlimanDeAnna BeaneAndee Rubin