Increasingly, scientists and their institutions are engaging with lay audiences via media. The emergence of social media has allowed scientists to engage with publics in novel ways. Social networking sites have fundamentally changed the modern media environment and, subsequently, media consumption habits. When asked where they primarily go to learn more about scientific issues, more than half of Americans point to the Internet. These online spaces offer many opportunities for scientists to play active roles in communicating and engaging directly with various publics. Additionally, the proposed research activities were inspired by a recent report by the National Academies of Sciences, Engineering, and Medicine that included a challenge to science communication researchers to determine better approaches for communicating science through social media platforms. Humor has been recommended as a method that scientists could use in communicating with publics; however, there is little empirical evidence that its use is effective. The researchers will explore the effectiveness of using humor for communicating about artificial intelligence, climate science and microbiomes.
The research questions are: How do lay audiences respond to messages about scientific issues on social media that use humor? What are scientists' views toward using humor in constructing social media messages? Can collaborations between science communication scholars and practitioners facilitate more effective practices? The research is grounded in the theory of planned behavior and framing as a theory of media effects. A public survey will collect and analyze data on Twitter messages with and without humor, the number of likes and re-tweets of each message, and their scientific content. Survey participants will be randomly assigned to one of twenty-four experimental conditions. The survey sample, matching recent U.S. Census Bureau data, will be obtained from opt-in panels provided by Qualtrics, an online market research company. The second component of the research will quantify the attitudes of scientists toward using humor to communicate with publics on social media. Data will be collected from a random sample of scientists and graduate students at R1 universities nationwide. Data will be analyzed using descriptive statistics and regression modeling.
The broader impacts of this project are twofold: findings from the research will be shared with science communication scholars and trainers advancing knowledge and practice; and an infographic (visual representation of findings) will be distributed to practitioners who participate in research-practice partnerships. It will provide a set of easily-referenced, evidence-based guidelines about the types of humor to which audiences respond positively on social media.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Sara YeoLeona Yi-Fan SuMichael Cacciatore
Focusing on climate change and its impact on coastal zones and marine life, Visualizing Change will build educator capacity in the aquarium community and informal science education field. Building on NOAA datasets and visualizations, we will provide interpreters with strategic framing communication tools and training using the best available social and cognitive research so that they can become effective climate change educators. Objectives are to (1) Develop and test four exemplary interpretive "visual narratives" that integrate research-based strategic communication with NOAA data visualization resources; (2) Test the application of the visual narratives in a variety of geographic regions, institution types (aquarium, science center, etc.), and using multiple technology platforms (Science on a Sphere, Magic Planet portable globe display, iPad/tablets, and video walls); (3) Build a professional development program for climate change interpretation with data visualization; and (4) Leverage existing networks for dissemination and peer support.
The majority of the world’s billions of biodiversity specimens are tucked away in museum cabinets with only minimal, if any, digital records of the information they contain. Global efforts to digitize specimens are underway, yet the scale of the task is daunting. Fortunately, many activities associated with digitization do not require extensive training and could benefit from the involvement of citizen science participants. However, the quality of the data generated in this way is not well understood. With two experiments presented here, we examine the efficacy of citizen science participants
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TEAM MEMBERS:
Elizabeth EllwoodHenry BartMichael DooseyDean JueJustin MannGil NelsonNelson RiosAustin Mast
The problem of accessing data is as old as science itself. Complete popularisation of scientific data (of a theoretical model), and even more so of the methods and materials used during an experimental process and of the empirical data amassed, has always been considered an essential part of the process of authentication, duplication and filing of scientific knowledge. It is also true, however, that this theory has always been a complex riddle with no simple solution. Strangely enough, in today's era of instant communication, the challenge of information access seems to be facing new, daunting
Supported in major part by the National Science Foundation, The Human Spark (THS) project includes a three-part national PBS television series hosted by Alan Alda and a multifaceted outreach initiative to engage public television stations and their partner science museums nationwide in order to extend the utilization and impact of the project. As an independent evaluator, Multimedia Research was contracted by Thirteen to capture how the collaboration between television station and science museum outreach grantees and their respective outreach activities meet the stated goals of the outreach
This project entails the creation of a coordinated colony of robotic bees, RoboBees. Research topics are split between the body, brain, and colony. Each of these research areas is drawn together by the challenges of recreating various functionalities of natural bees. One such example is pollination: Bees coordinate to interact with complex natural systems by using a diversity of sensors, a hierarchy of task delegation, unique communication, and an effective flapping-wing propulsion system. Pollination and other agricultural tasks will serve as challenge thrusts throughout the life of this project. Such tasks require expertise across a broad spectrum of scientific topics. The research team includes experts in biology, computer science, electrical and mechanical engineering, and materials science, assembled to address fundamental challenges in developing RoboBees. An integral part of this program is the development of a museum exhibit, in partnership with the Museum of Science, Boston, which will explore the life of a bee and the technologies required to create RoboBees.
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TEAM MEMBERS:
Robert WoodRadhika NagpalJ. Gregory MorrisettGu-Yeon WeiJoseph Ayers
NOVA Labs (pbs.org/nova/labs) is a free digital platform that engages teens and lifelong learners in activities and games that foster authentic scientific exploration. From building RNA molecules and designing renewable energy systems to tracking cloud movements and learning cybersecurity strategies, NOVA Labs participants can take part in real-world investigations by visualizing, analyzing, and playing with the same data that scientists use. Each Lab focuses on a different area of active research. But all of them illustrate key concepts with engaging and informative videos, and guide participants as they answer scientific questions or design solutions to current problems. Supporting pages on each Lab site explain the purpose and functions of the Lab, help teachers incorporate it into their classrooms, foster collaboration between users, and help users make connections to the broader world of STEM. Users are encouraged to explore potential career paths through “Meet the Scientists” profiles, and to obtain information about local and national STEM resources.
Sage is a robot that has been installed at the Carnegie Museum of Natural History as a full-time autonomous member of the staff. Its goal is to provide educational content to museum visitors in order to augment their museum experience. This paper discusses all aspects of the related research and development. The functional obstacle avoidance system, which departs from the conventional occupancy grid-based approaches, is described. Sage's topological navigation system, using only color vision and odometric information, is also described. Long-term statistics provide a quantitative measure of
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TEAM MEMBERS:
Illah NourbakhshJudith BobenageSebastien GrangeRon LutzRoland MeyerAlvaro Soto
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
This report was completed by the Program Evaluation Research Group at Endicott College in October 2013. It describes the outcomes and impacts of a four-year, NSF-funded project called Go Botany: Integrated Tools to Advance Botanical Learning (grant number 0840186). Go Botany focuses on fostering increased interest in and knowledge of botany among youth and adults in New England. This was being done through the creation of an online flora for the region, along with the development of related tools, including PlantShare, and a user-friendly interface for ‘smartphones’. In January 2012, the PI
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TEAM MEMBERS:
Judah LeblangNew England Wild Flower Society
Roto, an exhibition design and production firm, contracted Randi Korn & Associates, Inc. (RK&A) to conduct a front-end evaluation of Speed, an exhibition being developed for The Science Museum of Virginia (SMV) in Richmond, Virginia. RK&A explored visitors’ thoughts, perceptions, and understandings of exhibition concepts related to speed, defined as change over time. How did we approach this study? RK&A worked closely with Roto to identify the goals and objectives for the Speed exhibition. Findings from the front-end evaluation were designed to help Roto and SMV find common ground between
In this article, Bernhard Graf discusses the work of the Institut fur Museumskunde (Institute of Museum Studies), a division of the Staatliche Museen (State Museums) in Berlin. The Institut is devoted to research and documentation in the various areas of museum work, defined by the scientific disciplines relevant to the individual project.