In a sustainable world, human needs would be met without chronic harm to the environment and without sacrificing the ability of future generations to meet their needs. Addressing the grand challenge of sustainability, the U.S. National Science Foundation (NSF) has developed a coordinated research and education framework, called the Science, Engineering, and Education for Sustainability (SEES) portfolio (http://www.nsf.gov/sees). The growing family of SEES activities, currently consisting of 11 programs, represents a major interdisciplinary investment by NSF that reflects the following topical
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TEAM MEMBERS:
Tim KilleenBen Van Der PluumMarge Cavanaugh
This is a two-year "Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science" (INCLUDES) Design and Development Launch Pilot targeting high school students in the Hudson Valley, including the New York Metropolitan Area. It will support a network of institutional partners that are committed to providing internship and mentoring opportunities to youths interested in authentic research projects. The proposed work will build on a current research immersion program--the Secondary School Field Research Program (SSFRP) at Columbia University's Lamont-Doherty Earth Observatory. SSFRP serves high school students, mainly from underrepresented and underserved communities, who work with college students, science teachers, and researchers around a specific science problem. Over the past decade, the program has had demonstrable impact, including attendance to college, and students' selection of STEM majors. Tracking data indicates that retention rates of its alumni in four-year colleges are well above the norm, and a significant fraction of early participants are now in graduate programs in science or engineering. The program has surpassed all expectations in its effectiveness at engaging underserved populations in science and promoting entry into college, recruitment into STEM majors, and retention through undergraduate and into graduate studies. Hence, the project's overall goal will be to extend and adapt the research-immersive summer internship model through an alliance with peer research institutions, school districts and networks, public land and resource management agencies, private funding agencies, informal educational institutions, and experts in pedagogical modeling, metrics, and evaluation. Focused on earth and environmental sciences, the summer and year-round mentoring model will allow high school students to work in research teams led by college students and teachers under the direction of research scientists. The mentoring model will be multilayered, with peer, near-peer, and researcher-student relationships interweaving throughout the learning process.
The project has formulated a set of testable explanatory hypotheses: (1) Beyond specific subject knowledge, success rests on increased student engagement in a community of practice, with near-peer mentors, teachers, and scientists in the context of scientific research; (2) The intensity of engagement also shifts the students' vision of their future to include higher education, and specifically to imagine and move toward a STEM career; and (3) Early engagement, before students attend college, is critical because high school is where students form patterns of engagement and capacities related to science learning. Thus, the immediate goal of the two-year plan will be to create approximately 11 research internship programs focused on earth and environmental sciences, and to build the networks for growth through engagement with a wider community of educational partners. The main focus of this approach will be removing barriers between high school students and STEM organizations, and adapting the current mentoring model at Columbia University to the specific cultures of other research groups and internship programs throughout the lower Hudson Valley. The team has already assembled a diverse set of partners committed to broadening participation in STEM using a collective impact approach to early engagement in project-based learning. Research partners will provide the mentors, research projects, and laboratory facilities. The educational network partners will provide access for students, particularly those from under-resourced communities to participate, as well as participation opportunities for interested teachers. Informal learning organizations will provide access to field and research sites, along with research dissemination opportunities. In Year 1, the project will conduct a series of development workshops for partners already in place and foster the formation of new partnership clusters according to shared interest, complementary resources and geographic proximity. The workshops will provide a forum for partners to learn about each other's visions, values, challenges, and existing structures, while working through theoretical and practical issues related to STEM engagement for young investigators. In Year 2, the project will target the implementation of the internship programs at various sites according to the agreed-upon goals, program model, research projects, recruitment and retention strategy, staff training, data collection, and evaluation plans. An external evaluator will address both the formative and summative evaluation of the effort directed toward examining the three project's hypotheses concerning the educational impacts of scientific research on student engagement, extent of the immersion, and overall effectiveness of the programs.
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TEAM MEMBERS:
Robert NewtonLuo Cassie XuMargie TurrinEinat LevMatthew Palmer
Science and technology are embedded in virtually every aspect of modern life. As a result, people face an increasing need to integrate information from science with their personal values and other considerations as they make important life decisions about medical care, the safety of foods, what to do about climate change, and many other issues. Communicating science effectively, however, is a complex task and an acquired skill. Moreover, the approaches to communicating science that will be most effective for specific audiences and circumstances are not obvious. Fortunately, there is an
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National Academies of Sciences, Engineering, and Medicine
resourceresearchProfessional Development, Conferences, and Networks
The emergence and recognition of outreach and engagement staff and non-tenure track faculty in higher education literature as key figures in the success of university outreach and community engagement are welcome developments for these practitioners. This article describes the perceptions of outreach and engagement staff at large, public research universities with decentralized engagement initiatives. The authors describe efforts to organize outreach and community engagement staff to create supportive networks, improve practice, provide professional development opportunities, and advocate for
Framing ‘science and society’ as a conflict has diverted us from more important problems. Our economic environment urges the commercialisation and social acceptance of new technologies, and science communicators and their publics contribute work to these ends. These activities neglect existing, uncontroversial technologies that, in a collaboration between responsible scientists and their publics, could be deployed to address global problems.
Peter Weingart and Lars Guenther suggest that the public's trust in science has become endangered due to a new ecology of science communication. An implicit theoretical base of their argument is that the integrity of science as an institution depends on the integrity of science as a profession. My comment aims to reconstruct and question this specific institutional understanding of science. I argue that rust in technologies of knowledge production might be a potential equivalent to trust in professions.
In considering the ethos of science, Robert Merton [1973] posited that openness and secrecy reflect opposing values in the accomplishment of science. According to Merton, scientific inquiry required that all interested parties have access to and freely share scientific information. In our current epoch, this importance of openness in science seems even more widely accepted. It is a given nowadays that scientists are expected to work as part of a team, not only within their own department, but also with other departments different disciplines. To work interdisciplinary scientists must become
Factors that influence reception and use of information are represented in this koru model of science communication using the metaphor of a growing plant. Identity is central to this model, determining whether an individual attends to information, how it is used and whether access to it results in increased awareness, knowledge or understanding, changed attitudes or behaviour. In this koru model, facts are represented as nutrients in the soil; the matrix influences their availability. Communication involves reorganisation of facts into information, available via channels represented as roots
This paper contains an overview of the programmes currently existing in Latin America to train science communicators. For such purpose, only postgraduate courses held regularly were considered in the study. Twenty-two programmes meeting such requirement were identified in five countries, 65% of which were in fact established over the past ten years. They present a lot of diversity in terms of admittance requirements, goals, contents, approaches, duration and graduation requirements. However, all of them share the same effort, aiming to offer specific contents in the area of science
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TEAM MEMBERS:
Luisa MassaraniElaine ReynosoSandra MurrieloAyelen Castillo
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at the University of Colorado. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at DePaul University. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This summative evaluation report details the Broad Implementation of the Living Laboratory model--an initiative to promote partnership between museums and cognitive science researchers in order to promote professional learning and involve the public in scientific research. The evaluation investigated the extent of the dissemination effort’s depth, spread, sustainability, and shift in ownership, based on Coburn’s criteria for scale-up (2003). Evaluators collected data from surveys, interviews, focus groups, document review, and observations. Findings about depth suggest that adopters fully