Lack of diversity in science and engineering education has contributed to significant inequality in a workforce that is responsible for addressing today's grand challenges. Broadening participation in these fields will promote the progress of science and advance national health, prosperity and welfare, as well as secure the national defense; however, students from underrepresented groups, including women, report different experiences than the majority of students, even within the same fields. These distinctions are not caused by the students' ability, but rather by insufficient aspiration, confidence, mentorship, instructional methods, and connection and relevance to their cultural identity. The long-term vision of this project is to amplify the impact of a successful broadening participation model at the University of Maine, the Stormwater Research Management Team (SMART). This program trains students and mentors in using science and engineering skills and technology to research water quality in their local watershed. Students engage in numerous science and technology fields: engineering design, data acquisition, analysis and visualization, chemistry, environmental science, biology, and information technology. Students also connect with a diversity of professionals in water and engineering in government, private firms and non-profits. SMART has augmented the traditional science and engineering classroom by engaging students in guided mentored apprenticeships that address community problems.
Technical
This pilot project will form a collaborative and define a strategic plan for scale-up to a national alliance to increase the long-term success rate of underrepresented minority students in science, engineering, and related fields. The collaborative of multiple and varied organizations will align to collectively contribute time and resources to a pre-college educational pathway. There are countless isolated programs that offer short-term interventions for underrepresented and minority students; however, there is lack of organizational coordination for aligning current program offerings, sharing best practices, research results or program outcomes along the education to workforce pathway. The collaborative activities will focus on the transition grades (e.g., 4-5, 8, and high school) and emphasize relationships among skills, confidence, culture and future careers. Collaborative partners will establish a centralized infrastructure in each location to coordinate recruiting of invested community leaders, educators, and parents, around a common agenda by designing, deploying and continually assessing a stormwater-themed project that addresses their location and demographic specific needs. This collaborative community will consist of higher education faculty and students, K-12 students, their caregivers, mentors, educators, stormwater districts, state and national environmental protection agencies, departments of education, and other for-profit and non-profit organizations. The collaborative will address the need for research on mechanisms for change, collaboration, and negotiation regarding the greater participation of under-represented groups in the science and technology workforce.
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TEAM MEMBERS:
Mohamed MusaviVenkat BhethanabotlaCary JamesVemitra WhiteLola Brown
The National Science Festival Network project, also operating as the Science Festival Alliance, is designed to create a sustainable national network of science festivals that engages all facets of the general public in science learning. Science Festivals, clearly distinct from "science fairs", are community-wide activities engaging professional scientists and informal and K-12 educators targeting underrepresented segments of local communities historically underserved by formal or informal STEM educational activities. The initiative builds on previous work in other parts of the world (e.g. Europe, Australasia) and on recent efforts in the U.S. to create science festivals. The target audiences are families, children and youth ages 5-18, adults, professional scientists and educators in K-12 and informal science institutions, and underserved and underrepresented communities. Project partners include the MIT Museum in Cambridge, UC San Diego, UC San Francisco, and the Franklin Institute in Philadelphia. The deliverables include annual science festivals in these four cities supported by year-round related activities for K-12 and informal audiences, a partnership network, a web portal, and two national conferences. Ten science festivals will be convened in total over the 3 years of the project, each reaching 15,000 to 60,000 participants per year. STEM content includes earth and space science, oceanography, biological/biomedical science, bioinformatics, and computer, behavioral, aeronautical, nanotechnology, environmental, and nuclear science. An independent evaluator will systematically assess audience participation and perceptions, level/types of science interest stimulated in target groups, growth of partnering support at individual sites, and increasing interactions between ISE and formal K-12 education. A variety of qualitative and quantitative assessments will be designed and utilized. The project has the potential to transform public communication and understanding of science and increase the numbers of youth interested in pursuing science.
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TEAM MEMBERS:
Loren ThompsonJeremy BabendureBen Wiehe
The Jackprot is a didactic slot machine simulation that illustrates how mutation rate coupled with natural selection can interact to generate highly specialized proteins. Conceptualized by Guillermo Paz-y-Miño C., Avelina Espinosa, and Chunyan Y. Bai (New England Center for the Public Understanding of Science, Roger Williams University and the University of Massachusetts, Dartmouth), the Jackprot uses simplified slot-machine probability principles to demonstrate how mutation rate coupled with natural selection suffice to explain the origin and evolution of highly specialized proteins. The
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.
resourceresearchProfessional Development, Conferences, and Networks
As a part of the strategy to reach the NASA Science Mission Directorate (SMD) Science Education and Public Outreach Forum Objective 1.2: Provide resources and opportunities to enable sharing of best practices relevant to SMD education and public outreach (E/PO), the Informal Education Working Group members designed a nationally-distributed online survey to answer the following questions: 1. How, when, where, and for how long do informal educators prefer to receive science, mathematics, engineering, and/or technology content professional development? 2. What are the professional development and