Modern science communication has emerged as a field of study, a body of practice and a profession. In the last 60 years, we have seen the birth of interactive science centres, university courses, the first research into science communication, and a growth in employment by research institutions, universities, museums, science centres and industry. Now Ireland has told its story.
The National Academy of Sciences’ LabX program came into existence in 2017 with a directive to develop programming meant to engage with a young-adult (18-37 years old) target audience who are active decision-makers and whose actions impact current and future policies. While conducting preliminary research, the LabX staff and advisory board discovered that available research on young adults’ relationship with science was sadly lacking in detail, beyond obvious conclusions about high levels of interest in technology and social experiences.
To fill these knowledge gaps, gain a deeper
Effective science communication can empower research and innovation systems to address global challenges and put public interests at the heart of how knowledge is produced, shared, and applied. For science communication to play this mediating role effectively, we propose a more integrated and “evidence-based” approach. This commentary identifies key issues facing the science communication field. It suggests a series of prescriptions, inspired by the impact of “evidence-based medicine” over the past decades. In practice, evidence-based science communication should combine professional expertise
This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) by engaging in hands-on field experience, laboratory/project-based entrepreneurship tasks and mentorship experiences. This ITEST project aims to research the STEM career interests of late elementary and middle-school students and, based on the results of that research, build an informal education program to involve families and community partners to enhance their science knowledge, attitudes, experiences, and resources. There is an emphasis on underrepresented and low income students and their families.
The project will research and test a new model to promote the development of positive attitudes toward STEM and to increase interest in STEM careers. Phase 1 of the project will include exploratory research examining science capital and habitus for a representative sample of youth at three age ranges: 8-9, 9-10 and 11-12 years. The project will measure the access that youth have to adults who engage in STEM careers and STEM leisure activities. In phase II the project will test a model with a control group and a treatment group to enhance science capital and habitus for youth.
Science outreach represents a strategy that helps to connect scientists with non-specialized audiences in culturally relevant ways, with the overarching goal of bridging science and society. The concept of science outreach dates back to the beginning of modern science research, but in more recent times, science outreach is increasingly seen as a necessary component of the scientific enterprise, particularly in the context of promoting access, equity, and inclusivity. Yet, challenges exist with regard to scaling and sustaining science outreach efforts. As the field of science outreach moves towards professionalization, it is important to understand how science outreach programs and activities are currently viewed among members of the scientific community. The goal of this project is uncover how science outreach is valued among scientific researchers, learn what motivates scientists to participate in science outreach related initiatives, and examine how gender and race influences participation. The results of this project have the potential to raise awareness about the importance of science outreach and ultimately support increased, effective, and sustainable public engagement with science.
The aims of this project will be accomplished through the creation, dissemination, and analysis of a nationwide survey instrument which will be developed with collaborative input from representative members of the growing national science outreach community. The survey instrument will be tailored to query three distinct groups of respondents that exist within the scientific community: 1) Respondents who do not conduct science outreach; 2) Respondents who participate in science outreach with varying frequency; 3) Respondents who practice science outreach as their profession. A large-scale survey will be conducted and the responses will be analyzed and shared with the broad scientific community through peer-reviewed publication, alongside complementary write-ups and future recommendations, which will be shared on free and publicly accessible web platforms.
This evaluation brief summarizes the kinds of formative feedback and resources that Rockman et al evaluators provided to inform content and marketing of two science cafés, and support the construction, refinement, and dissemination of a questionnaire about café participants understanding of Science Technology and Society (STS). REA staff members served as educational assessment consultants who worked with the project team to (a) qualitatively assess the validity of and refine the constructs for the science café assessment tool; and (b) construct and refine the summative assessment
This is the protocol for a research project to assess the wants and needs of adults in underserved STEM learning communities -- in our case, the Richmond, VA African American community -- towards the goal of using a community-university partnership to staging STS science cafes that respond to these wants and needs.
This assessment is based on the three vertices of a triangle composed of cognition, observation, and interpretation, all of which converge on the nature of science, the relevance of science to everyday life, and decision-making behaviors.
We chose one measure from Conley, Pintrich, Vekiri, & Harrison (2004). This measure encompasses four dimensions about scientific knowledge -- source, certainty, development and justification -- so we thought it might reveal interesting dimensions of stasis and change in attitudes toward science from formal school environments to informal adult learning
A Teen Science Café is an out-of-school program that brings together teens and science professionals to engage in discussion and activities related to the scientist’s work. The Cafés are highly interactive, incorporating hands-on activities and discussion with scientists; each is co-organized by an adult and a group of Teen Leaders. The model was developed and refined in several different locations in New Mexico between 2008 and 2010.
This pilot study took advantage of the 10-year history of Café Sci NM, and sought to answer the question: What are the long-term influences of participation
A Teen Science Café is an out-of-school program in which teens and STEM experts engage in conversation and activities to explore a topic related to the STEM professional’s expertise. Teen Science Cafés are independently run and organized at more than 100 sites nationwide – from museums to libraries to aquariums. Prior evaluation of the Teen Science Café model has demonstrated a range of impacts achieved with youth participants, but relatively little research has focused on the experience of the scientist-presenters.
This report presents findings of a sequential mixed-methods study that
The characteristics of interaction and dialogue implicit in the Web 2.0 have given rise to a new scenario in the relationship between science and society. The aim of this paper is the development of an evaluation tool scientifically validated by the Delphi method that permits the study of Internet usage and its effectiveness for encouraging public engagement in the scientific process. Thirty four indicators have been identified, structured into 6 interrelated criteria conceived for compiling data that help to explain the role of the Internet in favouring public engagement in science.
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TEAM MEMBERS:
Lourdes LopezMaria Dolores Olvera-Lobo
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