This paper presents synthesized research on where XR is most effective within a museum setting and what impact XR might have on the visitor experience.
This project investigates long-term human-robot interaction outside of controlled laboratory settings to better understand how the introduction of robots and the development of socially-aware behaviors work to transform the spaces of everyday life, including how spaces are planned and managed, used, and experienced. Focusing on tour-guiding robots in two museums, the research will produce nuanced insights into the challenges and opportunities that arise as social robots are integrated into new spaces to better inform future design, planning, and decision-making. It brings together researchers from human geography, robotics, and art to think beyond disciplinary boundaries about the possible futures of human-robot co-existence, sociality, and collaboration. Broader impacts of the project will include increased accessibility and engagement at two partner museums, interdisciplinary research opportunities for both undergraduate and graduate students, a short video series about the current state of robotic technology to be offered as a free educational resource, and public art exhibitions reflecting on human-robot interactions. This project will be of interest to scholars of Science and Technology Studies, Human Robotics Interaction (HRI), and human geography as well as museum administrators, educators and the general public.
This interdisciplinary project brings together Science and Technology Studies, Human Robotics Interaction (HRI), and human geography to explore the production of social space through emerging forms of HRI. The project broadly asks: How does the deployment of social robots influence the production of social space—including the functions, meanings, practices, and experiences of particular spaces? The project is based on long-term ethnographic observation of the development and deployment of tour-guiding robots in an art museum and an earth science museum. A social roboticist will develop a socially-aware navigation system to add nuance to the robots’ socio-spatial behavior. A digital artist will produce digital representations of the interactions that take place in the museum, using the robot’s own sensor data and other forms of motion capture. A human geographer will conduct interviews with museum visitors and staff as well as ethnographic observation of the tour-guiding robots and of the roboticists as they develop the navigation system. They will produce an ethnographic analysis of the robots’ roles in the organization of the museums, everyday practices of museum staff and visitors, and the differential experiences of the museum space. The intellectual merits of the project consist of contributions at the intersections of STS, robotics, and human geography examining the value of ethnographic research for HRI, the development of socially-aware navigation systems, the value of a socio-spatial analytic for understanding emerging forms of robotics, and the role of robots within evolving digital geographies.
This project is jointly funded by the Science and Technology Studies program in SBE and Advancing Informal STEM Learning (AISL) Program in EHR.
Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data literate society. Yet conspicuously absent from the big data revolution is the field of teaching and learning. The revolution in big data must match a complementary revolution in a new kind of literacy, through a significant infusion of STEM education with the kinds of skills that the revolution in 21st century data-driven science demands. This project represents a concerted effort to determine what it means to be a big data literate citizen, information worker, researcher, or policymaker; to identify the quality of learning resources and programs to improve big data literacy; and to chart a path forward that will bridge big data practice with big data learning, education and career readiness.
Through a process of inquiry research and capacity-building, New York Hall of Science will bring together experts from member institutions of the Northeast Big Data Innovation Hub to galvanize big data communities of practice around education, identify and articulate the nature and quality of extant big data education resources and draft a set of big data literacy principles. The results of this planning process will be a planning document for a Big Data Literacy Spoke that will form an initiative to develop frameworks, strategies and scope and sequence to advance lifelong big data literacy for grades P-20 and across learning settings; and devise, implement, and evaluate programs, curricula and interventions to improve big data literacy for all. The planning document will articulate the findings of the inquiry research and evaluation to provide a practical tool to inform and cultivate other initiatives in data literacy both within the Northeast Big Data Innovation Hub and beyond.
This poster was presented at the 2010 Association of Science-Technology Centers Annual Conference. The Saint Louis Science Center is a partner in Washington University's Cognitive, Computational, and Systems Neuroscience interdisciplinary graduate program funded by the NSF-IGERT (Integrative Graduate Education and Research Traineeship) flagship training program for PhD scientists and engineers.
This Integrative Graduate Education and Research Training (IGERT) award supports the establishment of an interdisciplinary graduate training program in Cognitive, Computational, and Systems Neuroscience at Washington University in Saint Louis. Understanding how the brain works under normal circumstances and how it fails are among the most important problems in science. The purpose of this program is to train a new generation of systems-level neuroscientists who will combine experimental and computational approaches from the fields of psychology, neurobiology, and engineering to study brain function in unique ways. Students will participate in a five-course core curriculum that provides a broad base of knowledge in each of the core disciplines, and culminates in a pair of highly integrative and interactive courses that emphasize critical thinking and analysis skills, as well as practical skills for developing interdisciplinary research projects. This program also includes workshops aimed at developing the personal and professional skills that students need to become successful independent investigators and educators, as well as outreach programs aimed at communicating the goals and promise of integrative neuroscience to the general public. This training program will be tightly coupled to a new research focus involving neuro-imaging in nonhuman primates. By building upon existing strengths at Washington University, this research and training initiative will provide critical new insights into how the non-invasive measurements of brain function that are available in humans (e.g. from functional MRI) are related to the underlying activity patterns in neuronal circuits of the brain. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.
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TEAM MEMBERS:
Kurt ThoroughmanGregory DeAngelisRandy BucknerSteven PetersenDora Angelaki
What information are virtual visitors looking for on museum Web sites? This paper is a first step in a larger investigation into the informational value of museum Web sites. Scholars, teachers, students, museums staff, and museum visitors are the main categories of visitors examined in this study. Questions were asked of these museum audiences about their use of museum Web sites, museum databases, and other aspects of virtual visits.
Art history images essential for teaching art history and art appreciation courses at institutions of higher education are important for universities' stakeholders (students, faculty and staff, local museums, and the neighbouring community). Digital images displayed on the Web sites of universities worldwide are generally made available through digitizing slide collections, subscribing to digital libraries of art history images, making use of faculty's personal images and using university library catalogues. When creating a collection of art history images, Russian universities are severely
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TEAM MEMBERS:
Inna KizhnerTatiana KochevaAnna KoulikovaRaissa LozhkinaEugenia Popova
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.
A recent report by the Association for Computing Machinery estimates that by decade's end, half of all STEM jobs in the United States will be in computing. Yet, the participation of women and underrepresented groups in post-secondary computer science programs remains discouragingly and persistently low. One of the most important findings from research in computer science education is the degree to which informal experiences with computers (at many ages and in many settings) shape young people's trajectories through high school and into undergraduate degree programs. Just as early language and mathematics literacy begins at home and is reinforced throughout childhood through a variety of experiences both in school and out, for reasons of diversity and competency, formal experiences with computational literacy alone are insufficient for developing the next generation of scientists, engineers, and citizens. Thus, this CAREER program of research seeks to contribute to a conceptual and design framework to rethink computational literacy in informal environments in an effort to engage a broad and diverse audience. It builds on the concept of cultural forms to understand existing computational literacy practices across a variety of learning settings and to contribute innovative technology designs. As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds new approaches to and evidence-based understanding of the design and development of STEM learning in these settings. This CAREER program of research seeks to understand the role of cultural forms in informal computational learning experiences and to develop a theoretically grounded approach for designing such experiences for youth. This work starts from the premise that new forms of computational literacy will be born from existing cultural forms of literacy and numeracy (i.e., for mathematical literacy there are forms like counting songs -- "10 little ducks went out to play"). Many of these forms play out in homes between parents and children, in schools between teachers and students, and in all sorts of other place between friends and siblings. This program of study is a three-phased design and development effort focused on key research questions that include understanding (1) how cultural forms can help shape audience experiences in informal learning environments; (2) how different cultural forms interact with youth's identity-related needs and motivations; and (3) how new types of computational literacy experiences based on these forms can be created. Each phase includes inductive research that attempts to understand computational literacy as it exists in the world and a design phase guided by concrete learning objectives that address specific aspects of computational literacy. Data collection strategies will include naturalist observation, semi-structured, and in-depth interviews, and learning assessments; outcome measures will center on voluntary engagement, motivation, and persistence around the learning experiences. The contexts for research and design will be museums, homes, and afterschool programs. This research builds on a decade of experience by the PI in designing and studying computational literacy experiences across a range of learning settings including museums, homes, out-of-school programs, and classrooms. Engaging a broad and diverse audience in the future of STEM computing fields is an urgent priority of the US education system, both in schools and beyond. This project would complement substantial existing efforts to promote in-school computational literacy and, if successful, help bring about a more representative, computationally empowered citizenry. The integrated education plan supports the training and mentoring of graduate and undergraduate students in emerging research methods at the intersection of the learning sciences, computer science, and human-computer interaction. This work will also develop publically available learning experiences potentially impacting thousands of youth. These experiences will be available in museums, on the Web, and through App stores.
The cybersecurity workforce is one of the most critical employment sectors in the country. The Cybersecurity for Science Information (CSI): Developing Workforce Proficiency project brings together the University of Tennessee (UT) and Oak Ridge National Laboratory (ORNL) to develop plans for curriculum and research opportunities that will provide students with knowledge and hands-on experiences to confront today's ever-changing cybersecurity challenges. For this planning grant, UT and ORNL will collaborate with the University of New Mexico Library and the Los Alamos National Laboratory to develop a detailed recruitment strategy; blueprints of cybersecurity educational modules; a platform for sustainable curriculum design; and a strategy for ongoing assessment The project will also identify additional stakeholder groups.
Long known for its interactive exhibits and extensive educational programming, the Science Museum of Minnesota has also established itself as a place to build and experiment with classic and emerging technology. Specifically during their Activate Saturday afternoons, a special volunteer cohort facilitates hands-on activities that visitors of all ages can access to practice an engineering-design continuum: play, tinker, make, engineer. In the summer of 2013, SMM hosted four Maker Corps Members, three of whom continue to be a part of Activate.