According to this report, libraries and museums are effective but often overlooked resources in the United States' effort to turn around a crisis in early learning, exposing children to powerful learning experiences in the critical early years and keeping them learning through the summer months. This document provides dozens of examples and 10 key ways libraries and museums are supporting young children. It provides a clear call to policymakers, schools, funders, and parents to make full use of these vital, existing community resources.
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Intitute of Museum and Library ServicesMarsha SemmelMamie BittnerAllison BoalsMary Lynn HowardAndrea Camp
This Nanoscale Science and Engineering Center (NSEC) is a collaboration among Harvard University, the Massachusetts Institute of Technology, the University of California—Santa Barbara, and the Museum of Science—Boston with participation by Delft University of Technology (Netherlands), the University of Basel (Switzerland), the University of Tokyo (Japan), and the Brookhaven, Oak Ridge, and the Sandia National Laboratories. The NSEC combines "top down" and "bottom up" approaches to construct novel electronic and magnetic devices with nanoscale sizes and understand their behavior, including quantum phenomena. Through a close integration of research, education, and public outreach, the Center encourages and promotes the training of a diverse group of people to be leaders in this new interdisciplinary field.
The Nanoscale Science and Engineering Center entitled New England Nanomanufacturing Center for Enabling Tools is a partnership between Northeastern University, the University of Massachusetts Lowell, the University of New Hampshire, and Michigan State University. The NSEC unites 34 investigators from 9 departments. The NSEC is likely to impact solutions to three critical and fundamental technical problems in nanomanufacturing: (1) Control of the assembly of 3D heterogeneous systems, including the alignment, registration, and interconnection at three dimensions and with multiple functionalities, (2) Processing of nanoscale structures in a high-rate/high-volume manner, without compromising the beneficial nanoscale properties, (3) Testing the long-term reliability of nano components, and detect, remove, or prevent defects and contamination. Novel tools and processes will enable high-rate/high-volume bottom-up, precise, parallel assembly of nanoelements (such as carbon nanotubes, nanorods, and proteins) and polymer nanostructures. This Center will contribute a fundamental understanding of the interfacial behavior and forces required to assemble, detach, and transfer nanoelements, required for guided self-assembly at high rates and over large areas. The Center is expected to have broader impacts by bridging the gap between scientific research and the creation of commercial products by established and emerging industries, such as electronic, medical, and automotive. Long-standing ties with industry will also facilitate technology transfer. The Center builds on an already existing network of partnerships among industry, universities, and K-12 teachers and students to deliver the much-needed education in nanomanufacturing, including its environmental, economic, and societal implications, to the current and emerging workforce. The collaboration of a private and two public universities from two states, all within a one hour commute, will lead to a new center model, with extensive interaction and education for students, faculty, and outreach partners. The proposed partnership between NENCET and the Museum of Science (Boston) will foster in the general public the understanding that is required for the acceptance and growth of nanomanufacturing. The Center will study the societal implications of nanotechnology, including conducting environmental assessments of the impact of nanomanufacturing during process development. In addition, the Center will evaluate the economic viability in light of environmental and public health findings, and the ethical and regulatory policy issues related to developmental technology.
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Ahmed BusnainaNicol McGruerGlen MillerCarol BarryJoey Mead
Janet Iwasa, Harvard University, is a Discovery Corps Postdoctoral Fellow for the 2006-2007 and 2007-2008 academic years. This fellowship will bridge between a Chemical Bonding Center (CBC) and the Boston Museum of Science by providing scientifically accurate, dynamic molecular visualizations. The audience for these visualizations spans from researchers to the general public. Iwasa's key goal will be to present chemical evolution in a clear and engaging way to the public. This Discovery Corps Postdoctoral Fellowship is supported by the Division of Chemistry and the Office of Multidisciplinary Activities. The Discovery Corps Fellowship Program is a pilot program seeking new postdoctoral and professional development models that combine research expertise with professional service. Discovery Corps Fellows leverage their research expertise through projects that address areas of national need. Their projects enhance research capacity and infrastructure and contribute to workforce development and job creation. The Discovery Corps Program supports both Postdoctoral Fellows and Senior Fellows.
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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Tandy WarnowDavid HillisLauren MeyersDaniel MirankerWarren Hunt, Jr.
The National Center for Earth-surface Dynamics (NCED) is a Science and Technology Center focused on understanding the processes that shape the Earth's surface, and on communicating that understanding with a broad range of stakeholders. NCED's work will support a larger, community-based effort to develop a suite of quantitative models of the Earth's surface: a Community Sediment Model (CSM). Results of the NCED-CSM collaboration will be used for both short-term prediction of surface response to natural and anthropogenic change and long-term interpretation of how past conditions are recorded in landscapes and sedimentary strata. This will in turn help solve pressing societal problems such as estimation and mitigation of landscape-related risk; responsible management of landscape resources including forests, agricultural, and recreational areas; forecasting landscape response to possible climatic and other changes; and wise development of resources like groundwater and hydrocarbons that are hosted in buried sediments. NCED education and knowledge transfer programs include exhibits and educational programs at the Science Museum of Minnesota, internships and programs for students from tribal colleges and other underrepresented populations, and research opportunities for participants from outside core NCED institutions. The Earth's surface is the dynamic interface among the lithosphere, hydrosphere, biosphere, and atmosphere. It is intimately interwoven with the life that inhabits it. Surface processes span environments ranging from high mountains to the deep ocean and time scales from fractions of a second to millions of years. Because of this range in forms, processes, and scales, the study of surface dynamics has involved many disciplines and approaches. A major goal of NCED is to foster the development of a unified, quantitative science of Earth-surface dynamics that combines efforts in geomorphology, civil engineering, biology, sedimentary geology, oceanography, and geophysics. Our research program has four major themes: (1) landscape evolution, (2) basin evolution, (3) biological sediment dynamics, and (4) integration of morphodynamic processes across environments and scales. Each theme area provides opportunities for exchange of information and ideas with a wide range of stakeholders, including teachers and learners at all levels; researchers, managers, and policy makers in both the commercial and public sectors; and the general public.
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Efi Foufoula-GeorgiouChristopher PaolaGary Parker
Living Laboratory® (developed at the Museum of Science, Boston in 2005) is a new model for partnerships between museums and cognitive scientists, bringing cognitive scientists to museums, where they conduct active research studies with museum visitors as their subjects. In 2011, the Museum of Science began scaling up Living Laboratory to create a National Living Lab network. In Year 1, the program expanded to three new Hub sites: Madison Children’s Museum, Maryland Science Center, and Oregon Museum of Science and Industry. This report summarizes all formative evaluation from Year 1 of the
Robotics brings together learning across mechanism, computation and interaction using the compelling model of real-time interaction with physically instantiated intelligent devices. The project described here is the third stage of the Personal Rover Project, which aims to produce technology, curriculum and evaluation techniques for use with after-school, out-of-school and informal learning environments mediated by robotics. Our most recent work has resulted in the Personal Exploration Rover (PER), whose goal is to create and evaluate a robot interaction that will educate members of the general
Current accounts of the development of scientific reasoning focus on individual children's ability to coordinate the collection and evaluation of evidence with the creation of theories to explain the evidence. This observational study of parent–child interactions in a children's museum demonstrated that parents shape and support children's scientific thinking in everyday, nonobligatory activity. When children engaged an exhibit with parents, their exploration of evidence was observed to be longer, broader, and more focused on relevant comparisons than children who engaged the exhibit without
As an increasing number of robots have been designed to interact with people on a regular basis, research into human-robot interaction has become more widespread. At the same time, little work has been done on the problem of longterm human-robot interaction, in which a human uses a robot for a period of weeks or months. As people spend more time with a robot, it is expected that how they make sense of the robot - their “cognitive model” of it - may change over time. In order to identify factors that will be critical to the future development of a quantitative cognitive model of long-term human
This article provides an overview of current understandings of the science learning that occurs as a consequence of visiting a free-choice learning setting like a science museum. The best available evidence indicates that if you want to understand learning at the level of individuals within the real world, learning does functionally differ depending upon the conditions, i.e., the context, under which it occurs. Hence, learning in museums is different than learning in any other setting. The contextual model of learning provides a way to organize the myriad specifics and details that give
Research on human–robot interaction has often ignored the human cognitive changes that might occur when humans and robots work together to solve problems. Facilitating human–robot collaboration will require understanding how the collaboration functions system-wide. The authors present detailed examples drawn from a study of children and an autonomous rover, and examine how children’s beliefs can guide the way they interact with and learn about the robot. The data suggest that better collaboration might require that robots be designed to maximize their relationship potential with specific users