The Center for Integrated Quantum Materials pursues research and education in quantum science and technology. With our research and industry partners, the Museum of Science, Boston collaborates to produce public engagement resources, museum programs, special events and media. We also provide professional development in professional science communication for the Center's students, post-docs, and interns; and coaching in public engagement. The Museum also sponsors The Quantum Matters(TM) Science Communication Competition (www.mos.org/quantum-matters-competition) and NanoDays with a Quantum Leap. In association with CIQM and IBM Q, the Museum hosted the first U.S. museum exhibit on quantum computing.
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TEAM MEMBERS:
Robert WesterveltCarol Lynn AlpertRay AshooriTina Brower-Thomas
This INSPIRE award is partially funded by the Cyber-Human Systems Program in the Division of Information and Intelligent Systems in the Directorate for Computer Science and Engineering, the Gravitational Physics Program in the Division of Physics in the Directorate for Mathematical and Physical Sciences, and the Office of Integrative Activities.
This innovative project will develop a citizen science system to support the Advanced Laser Interferometer Gravitational wave Observatory (aLIGO), the most complicated experiment ever undertaken in gravitational physics. Before the end of this decade it will open up the window of gravitational wave observations on the Universe. However, the high detector sensitivity needed for astrophysical discoveries makes aLIGO very susceptible to noncosmic artifacts and noise that must be identified and separated from cosmic signals. Teaching computers to identify and morphologically classify these artifacts in detector data is exceedingly difficult. Human eyesight is a proven tool for classification, but the aLIGO data streams from approximately 30,000 sensors and monitors easily overwhelm a single human. This research will address these problems by coupling human classification with a machine learning model that learns from the citizen scientists and also guides how information is provided to participants. A novel feature of this system will be its reliance on volunteers to discover new glitch classes, not just use existing ones. The project includes research on the human-centered computing aspects of this sociocomputational system, and thus can inspire future citizen science projects that do not merely exploit the labor of volunteers but engage them as partners in scientific discovery. Therefore, the project will have substantial educational benefits for the volunteers, who will gain a good understanding on how science works, and will be a part of the excitement of opening up a new window on the universe.
This is an innovative, interdisciplinary collaboration between the existing LIGO, at the time it is being technically enhanced, and Zooniverse, which has fielded a workable crowdsourcing model, currently involving over a million people on 30 projects. The work will help aLIGO to quickly identify noise and artifacts in the science data stream, separating out legitimate astrophysical events, and allowing those events to be distributed to other observatories for more detailed source identification and study. This project will also build and evaluate an interface between machine learning and human learning that will itself be an advance on current methods. It can be depicted as a loop: (1) By sifting through enormous amounts of aLIGO data, the citizen scientists will produce a robust "gold standard" glitch dataset that can be used to seed and train machine learning algorithms that will aid in the identification task. (2) The machine learning protocols that select and classify glitch events will be developed to maximize the potential of the citizen scientists by organizing and passing the data to them in more effective ways. The project will experiment with the task design and workflow organization (leveraging previous Zooniverse experience) to build a system that takes advantage of the distinctive strengths of the machines (ability to process large amounts of data systematically) and the humans (ability to identify patterns and spot discrepancies), and then using the model to enable high quality aLIGO detector characterization and gravitational wave searches
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TEAM MEMBERS:
Vassiliki KalogeraAggelos KatsaggelosKevin CrowstonLaura TrouilleJoshua SmithShane LarsonLaura Whyte
This paper examines STEM-based informal learning environments for underrepresented students and reports on the aspects of these programs that are beneficial to students. This qualitative study provides a nuanced look into informal learning environments and determines what is unique about these experiences and makes them beneficial for students. We provide results of a qualitative research study conducted with the Mathematics, Engineering, Science Achievement (MESA) program, an informal learning environment that has proven to be effective in recruiting, retaining and encouraging
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TEAM MEMBERS:
Cameron DensonChandra Austin StallworthChristine HaileyDaniel Householder
The American Museum of Natural History (AMNH), in collaboration with New York University's Institute for Education and Social Policy and the University of Southern Maine Center for Evaluation and Policy, will develop and evaluate a new teacher education program model to prepare science teachers through a partnership between a world class science museum and high need schools in metropolitan New York City (NYC). This innovative pilot residency model was approved by the New York State (NYS) Board of Regents as part of the state’s Race To The Top award. The program will prepare a total of 50 candidates in two cohorts (2012 and 2013) to earn a Board of Regents-awarded Masters of Arts in Teaching (MAT) degree with a specialization in Earth Science for grades 7-12. The program focuses on Earth Science both because it is one of the greatest areas of science teacher shortages in urban areas and because AMNH has the ability to leverage the required scientific and educational resources in Earth Science and allied disciplines, including paleontology and astrophysics.
The proposed 15-month, 36-credit residency program is followed by two additional years of mentoring for new teachers. In addition to a full academic year of residency in high-needs public schools, teacher candidates will undertake two AMNH-based clinical summer residencies; a Museum Teaching Residency prior to entering their host schools, and a Museum Science Residency prior to entering the teaching profession. All courses will be taught by teams of doctoral-level educators and scientists.
The project’s research and evaluation components will examine the factors and outcomes of a program offered through a science museum working with the formal teacher preparation system in high need schools. Formative and summative evaluations will document all aspects of the program. In light of the NYS requirement that the pilot program be implemented in high-need, low-performing schools, this project has the potential to engage, motivate and improve the Earth Science achievement and interest in STEM careers of thousands of students from traditionally underrepresented populations including English language learners, special education students, and racial minority groups. In addition, this project will gather meaningful data on the role science museums can play in preparing well-qualified Earth Science teachers. The research component will examine the impact of this new teacher preparation model on student achievement in metropolitan NYC schools. More specifically, this project asks, "How do Earth Science students taught by first year AMNH MAT Earth Science teachers perform academically in comparison with students taught by first year Earth Science teachers not prepared in the AMNH program?.”
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TEAM MEMBERS:
Maritza MacdonaldMeryle WeinsteinRosamond KinzlerMordecai-Mark Mac LowEdmond MathezDavid Silvernail
Purpose: This project team will develop and test Zaption, a mobile and desktop platform designed to support educators in effectively and efficiently utilizing video (e.g., from YouTube, Vimeo, or their own desktop) as an interactive teaching and learning object. Personalized learning devices (e.g., smartphones, tablets) populated with video content provide opportunities for students to access educationally-meaningful content anywhere and anytime. Yet, video has yet to realize its potential as a learning tool in or out of the classroom. One reason for this is that watching video can be a passive experience for students, whereas learning requires active engagement. A second reason is that even if students are actively engaged while watching a video, there is no easy way to elicit student responses to a video. And finally, there is no easy way to feed student responses to teachers as formative assessment data to guide subsequent instruction.
Project Activities: During Phase I, (completed in 2014), the team expanded a pre-existing prototype by building a mobile app to enable anytime use and increase its functionality for teachers. At the end of Phase I, pilot research with 150 students in 7 classrooms demonstrated that the prototype operated as intended, teachers were able to integrate the videos within instructional practice, and students found the mobile app helpful and engaging. In Phase II, the team will add additional components to the prototype and will develop content-specific modules for use in high school physics classes. After development is complete, the research team will conduct a larger pilot study to assess the feasibility and usability, fidelity of implementation, and the promise of the Zaption for supporting student's physics learning. The study will include 32 Grade 10 physics classrooms, half of whom will be randomly assigned to use Zaption and half of whom will follow business as usual procedures. Analyses will compare pre-and-post scores of student's physics learning.
Product: Zaption will be a mobile and web-based platform to support the use of any video (e.g., from YouTube, Vimeo, or their own desktop) as a teaching and learning tool. Zaption will include an authoring engine where users can find and select video clips and easily insert interactive elements such as questions, discussions, and annotations into the videos. Users will then publish videos directly on Zaption's website, or on any learning management system or classroom website. Students will be able to view videos as homework or in class, respond individually to the questions and prompts, and get feedback on their responses. Teachers will use Zaption Analytics to receive immediate and actionable data showing whether students actually watched and engaged with a video, and how students responded to the questions and prompts.
For decades, particle physicists have been using open access archives of preprints, i.e. research papers shared before the submission to peer reviewed journals. With the shift to digital archives, this model has proved to be attractive to other disciplines: but can it be exported? In particle physics, archives do not only represent the medium of choice for the circulation of scientific knowledge, but they are central places to build a sense of belonging and to define one's role within the community.
This paper reflects on the evaluation of and findings from a nationwide programme of physics engagement activities hosted by 10 science centres across the UK. We discuss our findings indicating the affordances of the programme with reference to the wider literature in order to draw out elements of the project that may be useful for other science learning and engagement initiatives. In particular, we discuss findings that relate to contemporary research and policy interests around the engagement of girls in science, the key ages at which young people’s views may best be influenced, the
Throughout the second half of the twentieth century a varied collection of pressure mechanisms were deployed from nuclear technology exporting countries — mainly from the US — to obstruct the development of a group of semi-peripheral countries’ autonomous nuclear capabilities. Argentina was part of this group. This article focuses on how “fear” of nuclear proliferation was used by US foreign policy as one of the most effective political artifacts to construct and protect an oligopolistic nuclear market. Spread by the press and by some prestigious social science sectors from the US and some
The literature illustrates how media research on the energy question is characterized by a limited focus on separate energy options, resulting in a lack of research into the diversity of and mutual relations between various energy options. This paper reports on a quantitative content analysis of eight Belgian newspapers (N=1181), focusing on whether certain energy options are systematically more covered in certain regions, types of newspapers and/or types of newspaper sections. The results show that five energy options dominate the debate and that there are minimal differences per region, but
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TEAM MEMBERS:
Pieter MaeseeleKarel DeneckereKoen PanisSteve Paulussen
resourceprojectProfessional Development, Conferences, and Networks
QuarkNet is a national program that partners high school science teachers and students with particle physicists working in experiments at the scientific frontier. These experiments are searching for answers to fundamental questions about the origin of mass, the dimensionality of spacetime and the nature of symmetries that govern physical processes. Among the experimental projects at the energy frontier with which QuarkNet is affiliated is the Large Hadron Collider, which is poised at the horizon of discovery. The LHC will come on line during the 5-years of this program. QuarkNet is led by a group of teachers, educators and physicists with many years of experience in professional development workshops and institutes, materials development and teacher research programs. The project consists of 52 centers at universities and research labs in 25 states and Puerto Rico. It is proposed that Quarknet be funded as a partnership among the ESIE program of EHR; the Office of Multidisciplinary Activities and the Elementary Particle Physics Program (Division of Physics), both within MPS; as well as the Division of High Energy Physics at DOE.
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TEAM MEMBERS:
Mitchell WayneRandal RuchtiDaniel Karmgard
This paper investigates the impact of stereotype threat on young women’s academic achievement in high school physics classes. Stereotype threat is the reinforcement of a negative stereotype. Results show that, although females underperformed when exposed to explicit and implicit stereotype threat conditions, their performance was identical to that of males when stereotypes were nullified.
Bathgate, Schunn, and Correnti investigate students’ motivation toward science across three dimensions: the context or setting, the way in which students interact with science materials or ideas, and the activity topic. Findings point to the importance of understanding children’s perceptions of specific science topics, not just science in general.