Having a central scientific language remains crucial for advancing and globally sharing science. Nevertheless, maintaining one dominant language also creates barriers to accessing scientific careers and knowledge. From an interdisciplinary perspective, we describe how, when, and why to make scientific literature more readily available in multiple languages through the practice of translation. We broadly review the advantages and limitations of neural machine translation systems and propose that translation can serve as both a short- and a long-term solution for making science more resilient
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TEAM MEMBERS:
Emma SteigerwaldValeria Ramírez-CastañedaDébora Y C BrandtAndrás BáldiJulie Teresa ShapiroLynne BowkerRebecca D Tarvin
This commentary introduces a preliminary conceptual framework for approaching putative effects of scholarly online systems on collaboration inside and outside of academia. The first part outlines a typology of scholarly online systems (SOS), i.e., the triad of specialised portals, specialised information services and scholarly online networks which is developed on the basis of nine German examples. In its second part, the commentary argues that we know little about collaborative scholarly community building by means of SOS. The commentary closes with some remarks on further research questions
Underrepresented minorities (URMs) are less than 10% of engineering faculty, despite comprising nearly a third of the nation's population. A common explanation for their disproportionate representation, at the engineering faculty level, is related to a lack of access to effective mentorship from other faculty. This NSF INCLUDES Design and Development Launch Pilot project will expand a new mentoring and advocacy-networking paradigm to bring together two stakeholder groups: (1) underrepresented minorities (URMs) who are engineering faculty and (2) well-regarded (primarily non-URM) emeriti/retired engineering faculty. A previously-funded NSF project found that this mentor-mentee pairing was viewed favorable by both parties and beneficial, particularly by the URM engineering faculty. Because of these results, the investigators proposed to scale, test, and evaluate the approach on a broader scale by creating national infrastructural network partners to help increase capacity to serve a greater number of URM engineering faculty and to introduce tele-mentoring and training models to serve URM faculty who work in remote geographical locations with very little access to mentors.
The project will use a multi-phased phenomenological, mixed method research design to gain greater understanding of the ways in which the URM faculty and emeriti faculty experience the opportunities afforded by the project. Further, the investigators plan to collect data to examine how project participants perceive and experience conventional, direct communications (e.g., telephone calls, e-mail, and in-person meetings)through the mentoring process versus the use of Embodied Conversational Agents (ECAs), anthropomorphic interface agents that engage a user in real-time dialogue by using verbal-nonverbal channels to emulate the in-person experience. This project has the potential to broaden participation in the engineering professoriate and opens up new possibilities for supporting URM engineering faculty.
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TEAM MEMBERS:
Comas HaynesValerie ConleySylvia MendezKinnis GoshaRosario Gerhardt
Mathematics is the foundation of many STEM fields and success in mathematics is a catalyst for success in other scientific disciplines. Increasing the participation of women and other under-represented groups in the mathematics profession builds human capital that produces a diverse pool of problem solvers in business and industry, research mathematicians, faculty at all levels, and role models for the next generation. Existing support and enrichment programs have targeted women in mathematics at different stages in their undergraduate and graduate education, with different strategies to building community, creating a sense of belonging, and promoting a growth mind set. These strategies challenge some of the most common obstacles to success, including isolation, stereotype threat, not committing to mathematics early enough, and imposter syndrome. Acknowledging the diversity among women in terms of socio-economic background and educational background, this project proposes to examine the effectiveness of these programs through the lens of two primary questions: (1) Which elements of these programs are most critical in the success of women, as a function of their position along these distinct diversity axes?, and (2) which features of these programs are most effective as a function of the stage of the participant's career? These questions are guided by the rationale that a better understanding of, and improved pathways by, which programs recruit and retain undergraduate and graduate women in mathematics has the strong potential to increase the representation of women among mathematics PhDs nationwide.
This project seeks to increase and diversify the number of professional mathematicians in the United States by identifying and proliferating best practices and known mechanisms for increasing the success of women in mathematics graduate programs, particularly women from under-represented groups. The PIs on this proposal, all of whom are leaders of initiatives that have been active for nearly two decades, will work with experts in management, data collection and reporting, and communications to address the following three challenges: (1) develop a common system of measuring the effectiveness of each element in these initiatives; (2) develop a process for effective, collective decision making; and (3) create connections between existing activities and resources. This project is both exploratory research and effectiveness research. The project team first will explore the contextual factors that serve to support or inhibit female pursuit of mathematics doctorates by interviewing a variety of women who were undergraduate mathematics majors in the past, as well as current professional mathematicians. They then will use this information to better understand the most effective features of various current and past initiatives that are trying to increase the participation of women in advanced mathematics. A key stakeholder meeting will develop a process for effective, collective decision-making, to utilize what the project team learns from the interviews. The leadership team will develop a website with discussion board and social media components to highlight best practices and facilitate a virtual community for women interested in mathematics. Finally, a distillation of program elements and their targeted effectiveness will inform the selection of interconnected activities to test on a scalable model. These prototypes will be implemented at several sites chosen to represent a diversity of constituencies and local support infrastructure.
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TEAM MEMBERS:
Judy WalkerAmi RadunskayaRuth HaasDeanna Haunsperger
The Department of Computer Science and Engineering and DO-IT IT (Disabilities, Opportunities, Internetworking and Technology) at the University of Washington propose to create the AccessComputing Alliance for the purpose of increasing the participation of people with disabilities in computing careers. Alliance partners Gallaudet University, Microsoft, the NSF Regional Alliances for Persons with Disabilities in STEM (hosted by the University of Southern Maine, New Mexico State University, and UW), and SIGACCESS of the Association for Computing Machinery (ACM) and collaborators represent stakeholders from education, industry, government, and professional organizations nationwide.
Alliance activities apply proven practices to support persons with disabilities within computing programs. To increase the number of students with disabilities who successfully pursue undergraduate and graduate degrees, the alliance will run college transition and bridge, tutoring, internship, and e-mentoring programs. To increase the capacity of postsecondary computing departments to fully include students with disabilities in coursers and programs, the alliance will form communities of practice, run capacity-building institutes, and develop systemic change indicators for computing departments. To create a nationwide resource to help students with disabilities pursue computing careers and computing educators and employers, professional organizations and other stakeholders to develop more inclusive programs and share effective practices, the alliance will create and maintain a searchable AccessComputing Knowledge Base of FAQs, case studies, and effective/promising practices.
These activities will build on existing alliances and resources in a comprehensive, integrated effort. They will create nationwide collaborations among individuals with disabilities, computing professionals, employers, disability providers, and professional organizations to explore the issues that contribute to the underrepresentation of persons with disabilities and to develop, apply and assess interventions. In addition, they will support local and regional efforts to recruit and retain students with disabilities into computing and assist them in institutionalizing and replicating their programs. The alliance will work with other Alliances and organizations that serve women and underrepresented minorities to make their programs accessible to students with disabilities. Finally they will collect and publish research and implementation data to enhance scientific and technological understanding of issues related to the inclusion of people with disabilities in computing.
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TEAM MEMBERS:
Richard LadnerLibby CohenSheryl BurgstahlerWilliam McCarthy
After the first paradigm shift from the deficit model to two-way communication, the field of science communication is in need of a second paradigm shift. This second shift sees communication as an inherently distributed element in the socio-technical system of science and technology development. Science communication is understood both from a systems perspective and its consecutive parts, in order to get a grip on the complex and dynamic reality of science, technology development and innovation in which scientists, industrial and governmental partners and the lay public collaborate. This essay
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TEAM MEMBERS:
Maarten C.A. van der SandenSteven Flipse
The Jackprot is a didactic slot machine simulation that illustrates how mutation rate coupled with natural selection can interact to generate highly specialized proteins. Conceptualized by Guillermo Paz-y-Miño C., Avelina Espinosa, and Chunyan Y. Bai (New England Center for the Public Understanding of Science, Roger Williams University and the University of Massachusetts, Dartmouth), the Jackprot uses simplified slot-machine probability principles to demonstrate how mutation rate coupled with natural selection suffice to explain the origin and evolution of highly specialized proteins. The