Museums continue to invest in and experiment with internet technologies and increasingly with social software environments (i.e., social networking). These technologies have the potential to lead to a number of important intellectual and social outcomes such as learning, community building, and greater public understanding of, in our case, science. It is the possibility of supporting learning in digital environments that is the focus of this research project. In our previous work, online facilitation has emerged as a big deal and perhaps determines successful online museum environments from unsuccessful environments. To study facilitation, we seek to understand facilitation styles and their outcomes in two distinct but representative museum environments. The first, Science Buzz at Science Museum of Minnesota, is a popular website identified by the field to be exemplary because of its educational value and its use of Web 2.0 functionality. The second case is the more distributed use of social software at the North Carolina Museum of Life and Science (MLS). Instead of creating learning platforms that are hosted internally, MLS is experimenting with building learning communities where people are already gathering on the web like Flickr, Twitter, and YouTube. We anticipate being able to identify clear, replicable facilitation styles and to identify outcomes associated with those styles.
Marshall Barnes was chosen by Larry Bock, founder of the USA Science and Engineering Festival as a late addition to the USASEF after viewing Marshall's impressive SuperScience for High School Physics activities for National Lab Day and his emphasis on advanced concept science and technologies. Marshall was given free booth space to set-up an exhibit that featured what is now being called "STEAM" or Science, Technology, Engineering, Art, Math and was fairly interactive. Marshall's booth emphasized his actual research that the visitors could take part in or analyze themselves. He had a VCR, TV, CD player, MacBookPro laptop and his own invention - the Visual Reduction Window. There were four elements to the exhibit. There was a TV monitor that showed a scene from a movie that you could view with 3D glasses for TV that Marshall invented that work even with one eye closed. At different times that same monitor would feature footage from an experiment that Marshall conducted to produce one of Nikola Tesla's ideas that Tesla never accomplished - a wall of light. This same footage could be analyzed by the visitors - frame by frame, on the Mac computer to see exactly how the principle of resonance produced the wall of light from the build-up of reflections off a physical wall created by strobe lights. Visitors could also listen to hyperdimensional music that Marshall produced that takes any kind of music to a new listening experience. Based on the concept that music is a coded language with cues and instructions that are cognitively recognizable when translated, Marshall invented techniques and technologies that allow such translations and brought examples for visitors to listen to. They included an upcoming radio show theme and the soundtrack to a documentary on the reality behind Fox TV's FRINGE. The music featured song elements that move around between the speakers and make you feel like the music is alive. The most dramatic of all was the Visual Reduction Window, again invented by Marshall, that made kids look transparent and at times, almost completely invisible. Based on his famous research into invisibility, which is documented at the Santa Maria Experiment exhibit in the Santa Maria Education Visitor's Center in Columbus, Ohio, the effect of real life transparency is stunning and Marshall, the world's leading expert on invisibility research was able to describe the physics behind what he was doing and its applications in the real world. His approach to invisibility is superior to those methods pursued by Duke University and others, trying to do the same with metamaterials, and is based on a completely different model of invisibility that he calls, Visual Density Reduction or VDR. Using VDR techniques, Marshall can make attack helicopters, small gun boats, tanks and many other things invisible, which is why he doesn't reveal the current level of his research, due to National Security reasons. Overall, the exhibit was a wild success and serves as a model for a traveling exhibit for informal science at malls, fairs, science centers, and other festivals.
This project was an early example of STEAM (Science, Technology, Engineering, Art, Math) and was produced for the 2004 BLD Studios art exhibition, Time Machines, in Columbus, OH. This project included a chair and a desk made of drawers, on top of which was a audio/video work station where visitors sat and interacted with the technology by using the headphones and listening to one tape deck for instructions and then listening to music on the other while watching the TV screen with special HyperSpeks(tm). There was also a panel of photos above the TV designed to simulate time travel. The instructions explained the purpose of the exhibit and how to use the TV to tune into various channels to pick-up a variety of video static on empty UHF frequencies. The music was designed to put the visitor into a certain frame of mind. It was futuristic sounding and created using DEMI sampling, a proprietary sampling technique also created by Marshall Barnes. The intent was to set the mood. Training Session was supposed to simulate training prospective transdimensional travelers in the cognitive exercises required to deal with the psychological rigors of time/parallel universe travel. The HyperSpeks(tm) allowed the visitors to search for various shapes in the TV static on a number of selcted channels which would resemble such cosmological constructs as black holes and wormholes. The static was live and not prerecorded and so the interaction on all levels was live and in real time. Visitors were to write their observations down on paper which was provided via a note pad and pen at the exhibit. In this way, a record of their experiences existed for subsequent visitors to review. The visitors were also told to view the photo panel, which consisted of pictures taken in 1977, but not developed until 2004. As a result, the pictures were somewhat faded and all tinted pink, however, when the visitors viewed them with the HyperSpeks(tm) they appeared not only normal color, but almost as if the scenes they depicted were views outside a window. Thus, the visitor was able to travel optically back in time and see the images the way they looked when they were originally photographed.
The Santa Maria Experiment exhibit concerns the original and successful invisibility research that initially took place in Columbus, OH in 1994 and documents the scientific principles behind how and why this research worked. It consists of two display panels filled with charts, articles and photographs and is written so that elementary children can easily read and understand the information. It also includes a video documentary for viewing that shows the research in progress and demonstrates its abilities as well as limitations. The exhibit gets its name from the fact that the largest target used for the invisibility tests in 1994, was the full scale replica of Christopher Columbus' flag ship, the Santa Maria. The ship was made to appear almost complete invisible when viewed through a special light bending material that lead investigator, Marshall Barnes, used to see if refracted light would indeed produce "mirages of invisibility". The story about this research eventually went around the world and in 2006 it was suggested that a permanent exhibit be set-up for educational purposes and be a positive draw for visitors. Housed at the Santa Maria Seeds of Change Visitor Education Center on the Scioto riverfront in downtown Columbus, OH,and officially opened on Columbus Day 2007, this is the only exhibit in the world that brings this much fantasized, as well as scientifically misunderstood subject, into accurate, scientific focus.
Researchers at Michigan State University, University of Washington, Science Museum of Minnesota, and Museum of Life and Science found that there are clear indicators of learning in Science Buzz (www.sciencebuzz.org), the online museum environment studied as part of the Take 2 project. People who participate in conversations through the Buzz blog demonstrate an interest in science, and they leverage their own experiences and identities in order to share science knowledge with others. Researchers utilized indicators of learning as identified in the National Academies report on Learning Science in Informal Environments. Aspects of learning that were particularly important for an online environment like Science Buzz were interest in science, participating in science through the use of language, and identifying as someone who knows about or uses science. Researchers found that Science Buzz participants had a strong interest in scientific issues, utilized argumentation strategies--an important scientific practice--and identified with the importance of science in their lives. In particular: (1) Interest in scientific issues, caring about scientific issues, identifying personally with scientific issues were commonly evident in Science Buzz; (2) There is widespread use of argumentation in relation to scientific issues, an important scientific practice, although the quality of the scientific reasoning associated with these argumentation practices varies; (3) The co-construction of identity between online participants and the host museum is a potentially powerful outcome, as it suggests that online learning environments can facilitate longer-term relationships; (4) The analytical tools developed by this project advance our ability to understand learning in online environments; (5) While some indicators of learning are present, others, such as reflecting on science or co-constructing science knowledge with others, are not present. For museums, encouraging museum staff to engage digital tools and online participants is relatively easy. However, measuring online activity with regard to complex outcomes like learning is extremely difficult. Perhaps the most useful outcome of the Take 2 project, therefore, is a tool that will enable museums to make sense of online activity in relation to powerful outcomes like learning.
This summative evaluation of the exhibition Robots & Us was designed to investigate how visitor audiences used and experienced this exhibition in relation to the project’s objectives and challenges. Visitors’ expectations and perceptions in relation to the project’s content goals prompted the summative evaluation to focus on specific challenges including: attitudes and perceptions about technology, connections between robots and people, appeal to a broad audience, and reactions to specific exhibits.
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TEAM MEMBERS:
Jeff HaywardJolene HartScience Museum of Minnesota
Researchers at the U.C. Davis will carry out observations of museum visitors to plan for a study of how visualizations affect visitors of an Earth Sciences exhibit using 3D technology. The researchers will be able to conduct an experimental study about how much participants in an education center learn from the model of earthquakes and of a model of the Lake Tahoe basin. The researchers will conduct a quasi-experiment of a sample of 100 visitors to the center at Lake Tahoe to study their experience with visualization and learning of science. The funding for this phase of the project will include the development of audience surveys, conducting focus groups to develop types of feedback, train staff to conduct data collection, and to conduct a literature review of technology visualization.
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.
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
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