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.
Understanding the Science Connected to Technology (USCT) targets information technology (IT) experiences in a comprehensive training program and professional support system for students and teachers in science, technology, engineering and mathematics (STEM). Participants have opportunities to assume leadership roles as citizen volunteers within the context of science and technology in an international watershed basin. Training includes collection, analysis, interpretation and dissemination of scientific data. BROADER IMPACTS: Building on a student volunteer monitoring program called River Watch, the USCT project enables student scientists to conduct surface water quality monitoring activities, analyze data and disseminate results to enhance local decision-making capacity. The project incorporates state and national education standards and has the potential to reach 173 school jurisdictions and 270,000 students. USCT will directly impact 81 teachers, 758 students and 18 citizen volunteers. The USCT project provides direct scientist mentor linkages for each participating school. This linkage provides a lasting process for life-long learning and an understanding of how IT and STEM subject matter is applied by resource professionals. Broader impacts include accredited coursework for teachers and students, specialized training congruent with the "No Child Left Behind Act of 2001," and building partnerships with Native American schools. INTELLECTUAL MERIT: The USCT project is designed to refocus thinking from static content inside a textbook to a process of learning that includes IT and STEM content. The USCT engages students (the next generation of decision makers) in discovery of science and technology and expands education beyond current paradigms and political jurisdictions.
This project will research distributed, online fantasy basketball games, which are quite popular with many kinds of players, including informal science education under-represented groups, and which entail some degree of informal statistical reasoning and decision-making strategies. The game is not playing basketball per se, but taking on the role of a team owner or coach who needs to decide how best to compose a team given necessarily limited resources. The research team will provide a method for framing and researching statistical understanding and decision making of expert and novice players, then, based on the research, will develop scaffolded techniques for helping players become more reflective on and adept with the statistical knowledge and decision making strategies they use.