Project LIFTOFF works with local, regional, and national partners to engineer statewide systems for Informal Science Education that inspire: YOUTH to pursue STEM education and careers through increased opportunities for quality, hands-on STEM learning. AFTERSCHOOL STAFF to facilitate STEM learning experiences that contribute to the overall STEM education and aspirations of youth in their programs. PROGRAM ADMINISTRATORS to encourage and support staff in the integration of STEM enrichment into the daily programming. STATE LEADERS to sustain and expand afterschool learning opportunities so that all students have access to engaging STEM experiences outside of the regular school day. Project LIFTOFF is dedicated to the development of the following essential elements of statewide systems for informal science education:
Access to appropriate STEM Curriculum for youth of all ages, abilities, and socio-cultural backgrounds that meets the needs and interests of individual community programs
Systematic STEM Professional Development that matches individual skills in positive youth development with abilities to facilitate discovery and science learning
A diverse Cadres of Trainers who will deliver the professional development, technical assistance and curriculum dissemination in their local communities
Authentic Evaluation of informal science efforts that determine the impacts on youth aspirations and the capacity of youth programs to provide quality STEM experiences
Local STEM education leadership to identify the ways in which collaborative education efforts can advance the development of 21st Century Skills and the preparedness for STEM workforce and higher education
Partnerships in support of youth development and informal science education that convene local, regional, and statewide organizations and stakeholders
To advance national initiatives and states' sySTEM engineering efforts, LIFTOFF coordinates an annual convening, the Midwest Afterschool Science Academy, that brings together national informal science experts, system leaders and youth development professionals to elevate the levels of science after school. The 5th MASA will be in the spring of 2014 in Kansas City, MO
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TEAM MEMBERS:
Missouri AfterSchool NetworkJeff Buehler
The authors provide an analysis of pairs of children interacting with a multi-touch tabletop exhibit designed to help museum visitors learn about evolution and the tree of life. The exhibit’s aim is to inspire visitors with a sense of wonder at life’s diversity while providing insight into key evolutionary concepts such as common descent. The authors find that children negotiate their interaction with the exhibit in a variety of ways including reactive, articulated, and contemplated exploration. These strategies in turn influence the ways in which children make meaning through their
Realizing the power of CyberLearning to transform education will require vision, strategy, and an engaged, talented community. Activities are needed to energize the community, refine and sharpen the path forward, and provide a more active and ongoing forum for clarifying the big ideas and challenging questions. In response to this need, SRI International, together with the Lawrence Hall of Science and with key support from the National Geographic Society, will organize a set of activities to advance a shared vision of the future of learning, encompassing the systems, people, and technology dimensions mutually necessary for any scalable and lasting advances in education. The innovative format for these activities is inspired by the TED talks, Wikipedia, and social networking. As in TED, a small set of leading researchers will be selected to give very short, very high quality, stimulating talks. These CyberLearning Talks will be featured at a 1-day summit meeting in Washington, DC, streamed so that local cyberlearning research communities may participate at a distance, and posted on a website. As in Wikipedia, CyberLearning Pages will be created, each page featuring a synopsis of a big idea in CyberLearning and the relevant research challenges. The 1-day conference will be followed by a small 1-day workshop focusing on how to evaluate cyberlearning efforts, identify progress, and identify important new directions. Finally, to disseminate and stimulate conversation about both the video talks and Wikipedia entries, a presence for the community will be created on social networking sites. The target outcomes of the effort will be (i) a cyberlearning research community with participants from across the many current constituent communities, and fostered awareness and appreciation of the broad range of expertise and interests across that wider community; (ii) foundations for sustained discussion of big ideas, insights, and challenges to help this new community define a more engaged, crisper vision of its own future, (iii) a community resource that can become a site for interconnecting stakeholders in the CyberLearning community and supporting investigators in improving field-generated proposals, and (iv) an emerging sense of direction for CyberLearning among a wider audience of leaders. Such community building and awareness is expected to foster collaborations that will lead to innovative and research-grounded ways of using technology to transform education -- formal and informal and across a lifetime.
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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TEAM MEMBERS:
Ahmed BusnainaNicol McGruerGlen MillerCarol BarryJoey Mead
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.
Children’s worlds are increasingly populated by intelligent technologies. This has raised a number of questions about the ways in which technology can change children’s ideas about important concepts, like what it means to be alive or smart. In this study, we examined the impact of experience with intelligent technologies on children’s ideas about robot intelligence. A total of 60 children aged 4 through 7 were asked to identify the intellectual, psychological, and biological characteristics of 8 entities that differed in terms of their life status and intellectual capabilities. Results
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
To help answer questions about the behavior of participants in human-robot systems, we propose the Cognitive Evaluation of Human-Robot Systems (CEHRS) method based on our work with the Personal Exploration Rover (PER). The CEHRS method consists of six steps: (1) identify all system participants, (2) collect data from all participant groups, including the system’s creators, (3) analyze participant data in light of system-wide goals, (4) answer targeted questions about each participant group to determine the flow of knowledge, information, and influence throughout the system, (5) look for
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
Poster on NSF grant DRL-1132393 (Cyberlearning Research Summit 2012: Imagining the Future of Learning, Systems, People, and Technology) from the 2012 ISE PI Meeting.
Poster on NSF grant DRL-1114655 (""Investigating An Intelligent Cyberlearning System For Interactive Museum-based Sustainability Modeling"") from the 2012 ISE PI Meeting.