The Sustainability Teams Empower and Amplify Membership in STEM (S-TEAMS), an NSF INCLUDES Design and Development Launch Pilot project, will tackle the problem of persistent underrepresentation by low-income, minority, and women students in STEM disciplines and careers through transdisciplinary teamwork. As science is increasingly done in teams, collaborations bring diversity to research. Diverse interactions can support critical thinking, problem-solving, and is a priority among STEM disciplines. By exploring a set of individual contributors that can be effect change through collective impact, this project will explore alternative approaches to broadly enhance diversity in STEM, such as sense of community and perceived program benefit. The S-TEAMS project relies on the use of sustainability as the organizing frame for the deployment of learning communities (teams) that engage deeply with active learning. Studies on the issue of underrepresentation often cite a feeling of isolation and lack of academically supportive networks with other students like themselves as major reasons for a disinclination to pursue education and careers in STEM, even as the numbers of underrepresented groups are increasing in colleges and universities across the country. The growth of sustainability science provides an excellent opportunity to include students from underrepresented groups in supportive teams working together on problems that require expertise in multiple disciplines. Participating students will develop professional skills and strengthen STEM- and sustainability-specific skills through real-world experience in problem solving and team science. Ultimately this project is expected to help increase the number of qualified professionals in the field of sustainability and the number of minorities in the STEM professions.
While there is certainly a clear need to improve engagement and retention of underrepresented groups across the entire spectrum of STEM education - from K-12 through graduate education, and on through career choices - the explicit focus here is on the undergraduate piece of this critical issue. This approach to teamwork makes STEM socialization integral to the active learning process. Five-member transdisciplinary teams, from disciplines such as biology, chemistry, computer and information sciences, geography, geology, mathematics, physics, and sustainability science, will work together for ten weeks in summer 2018 on real-world projects with corporations, government organizations, and nongovernment organizations. Sustainability teams with low participation by underrepresented groups will be compared to those with high representation to gather insights regarding individual and collective engagement, productivity, and ongoing interest in STEM. Such insights will be used to scale up the effort through partnership with New Jersey Higher Education Partnership for Sustainability (NJHEPS).
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TEAM MEMBERS:
Amy TuiningaAshwani VasishthPankaj Lai
This project is a Design and Development Launch Pilot (DDLP) of the NSF INCLUDES program. The goal of the project is to enhance the knowledge and applicability of science, technology, engineering, and mathematics (STEM) for a broad cross-section of people living in the U.S,-Affiliated Pacific Islands. The focus will be on water resources, which is an extremely important topic for this region and equally relevant nationally. The project will engage local community groups and schools in water monitoring, sampling, and analysis, in order to promote the benefits of science education and careers among a population that is underrepresented in these areas. Moreover, the project will improve the capabilities of the island residents for making decisions about sustainable use and protection of these scarce resources. A functioning network will be established among the islands that will have a positive impact on the health and well-being of the residents.
This project will use water as a highly relevant topic in order to involve a wide range of individuals in both general STEM learning and the basic scientific principles as applied to water resources. Specific aspects include engaging K-12, higher education, informal educators and community members to manage water resources in a sustainable fashion that will reduce disaster risk. In addition, the project will empower local communities through water literacy to make better informed, evidence-based decisions that balance the needs of diverse stakeholder groups. The overarching goal is to further advance the inclusion of underrepresented learners in STEM fields. Benefits to society will accrue by: increasing STEM learning opportunities for ~6,500 students from underserved and underrepresented Indigenous Pacific Islanders that will enhance their eligibility for STEM careers; building community resiliency through a collective impact network to resolve emerging water crises; and fostering collaboration among different constituencies in remote communities to make better-informed decisions that reflect the needs and constraints of diverse interests.
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 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
resourceprojectProfessional Development, Conferences, and Networks
Most experimental studies in the behavioral sciences rely on college students as participants for reasons of convenience, and most take place in North America and Europe. As a result, studies are only sampling from a narrow range of human experiences. The results of these studies have limited generalizability, failing to reflect the full range of mental and behavioral phenomena across diverse cultures and backgrounds. However sampling from broader populations is challenging, due to limited opportunities and access, heightened cost, and the need for specific knowledge about how to adapt research protocols to different communities. The goal of this workshop is to develop some tools and guidelines to help researchers overcome barriers to broader sampling, and to incentivize doing so through better institutional support.
The goal of this workshop is to develop tools to support and encourage increased robustness and generalizability in the experimental behavioral sciences. The meeting is dedicated to identifying and developing potential solutions to the so-called "WEIRD people" problem: the fact that most experimental behavioral science research is conducted with members of WEIRD populations (Western, Educated, Industrialized, Rich Democracies). The discovery that much of this research fails to generalize to broader populations and fails to capture the range of human patterned variation in thought and behavior creates a pressing need for research approaches to be more inclusive. Although there are researchers throughout the world who have developed effective models for overcoming these limitations, there are significant barriers to achieving robust and generalizable experimental behavioral research for most researchers. This workshop will bring together scholars from a range of disciplines whose research represents positive case studies of how to overcome these barriers. The participants aspire to accomplish three goals: 1) develop tools and training materials to help researchers enhance diversity in their research populations, 2) develop infrastructure solutions for connecting researchers across diverse contexts and populations, and 3) develop a set of recommendations for institutional changes to support enhancing diversity in experimental behavioral science through manuscript, grant, and tenure review.
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TEAM MEMBERS:
Douglas MedinDaniel HruschkaLera BoroditskyCristine Legare
During the last decade universities have developed policies and infrastructures to support open access to publications but now it is time to move a step forward. There is an increasing demand for accessing data supporting the research results to validate and reproduce them. Therefore universities have to be prepared for this new challenge that goes beyond dissemination because it requires a strategy for managing research data within institutions. In this paper I will try to give some hints on how to deal with this challenge that can be framed in the new open science movement aimed at providing