Creating Critical Consumers of Health and Science News: Teaching Science to the Non-Scientist Using Newsworthy Topics in the Life Sciences.
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ABSTRACT:
SUBMITTER: Coderre RW
PROVIDER: S-EPMC4798789 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Success and persistence in the life sciences is influenced by a student's self-efficacy, sense of belonging, and science identity. It has already been demonstrated that outreach experiences and service learning by graduate students in K-12 schools aid in the graduate students' confidence and intrinsic satisfaction. Others have shown the importance of engaging scientists in outreach activities, both for the benefit of the K-12 student and as a way to engage scientists with the community. We predicted it would also be beneficial for undergraduates to engage in service-learning activities during their coursework because working with K-12 students would solidify their scientific identity and sense of belonging while deepening their understanding of the course content. Consequently, we implemented service projects in our upper-level molecular biology and human physiology courses at a primarily undergraduate institution that focuses on five core values: Christian, Liberal Arts, Excellence, Community, and Service. Outcomes such as the undergraduate students' value of service, confidence in their knowledge of course content, ability to create effective lesson plans, and science identity were measured using anonymous surveys. Overall, students reported that they highly valued and enjoyed this unique experience. This type of activity could be used to increase future scientists' awareness of synergistic activities such as academic service and of the joy found in such activities. Future plans include measuring the effects on the participating high school and elementary school students and visiting schools with a high proportion of students from underserved populations.
| S-EPMC6203625 | biostudies-literature
Project description:Precise and real-time measurements of economic prosperity are vital to a country's economic system. This study aims to identify news topics that promoted economic prosperity in China from 2011-2021. By extracting economic topics from news text data, we construct a news coincidence index with comprehensive information and strong timeliness and reveal the trend of topic contribution. The Latent Dirichlet Allocation (LDA) topic model is applied to extract economic topics from the news. We use a mixed-frequency dynamic factor model to track rapid economic development without using high-frequency weekly and daily data. We identify the six most influential topics and investigate their evolution, which may serve as a reference for economic construction and regulation.
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Project description:BackgroundRapid identification of subject experts for medical topics helps in improving the implementation of discoveries by speeding the time to market drugs and aiding in clinical trial recruitment, etc. Identifying such people who influence opinion through social network analysis is gaining prominence. In this work, we explore how to combine named entity recognition from unstructured news articles with social network analysis to discover opinion leaders for a given medical topic.MethodsWe employed a Conditional Random Field algorithm to extract three categories of entities from health-related new articles: Person, Organization and Location. We used the latter two to disambiguate polysemy and synonymy for the person names, used simple rules to identify the subject experts, and then applied social network analysis techniques to discover the opinion leaders among them based on their media presence. A network was created by linking each pair of subject experts who are mentioned together in an article. The social network analysis metrics (including centrality metrics such as Betweenness, Closeness, Degree and Eigenvector) are used for ranking the subject experts based on their power in information flow.ResultsWe extracted 734,204 person mentions from 147,528 news articles related to obesity from January 1, 2007 through July 22, 2010. Of these, 147,879 mentions have been marked as subject experts. The F-score of extracting person names is 88.5%. More than 80% of the subject experts who rank among top 20 in at least one of the metrics could be considered as opinion leaders in obesity.ConclusionThe analysis of the network of subject experts with media presence revealed that an opinion leader might have fewer mentions in the news articles, but a high network centrality measure and vice-versa. Betweenness, Closeness and Degree centrality measures were shown to supplement frequency counts in the task of finding subject experts. Further, opinion leaders missed in scientific publication network analysis could be retrieved from news articles.
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Project description:The May 2012 Sackler Colloquium on "The Science of Science Communication" brought together scientists with research to communicate and scientists whose research could facilitate that communication. The latter include decision scientists who can identify the scientific results that an audience needs to know, from among all of the scientific results that it would be nice to know; behavioral scientists who can design ways to convey those results and then evaluate the success of those attempts; and social scientists who can create the channels needed for trustworthy communications. This overview offers an introduction to these communication sciences and their roles in science-based communication programs.
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Project description:BACKGROUND: The concerns of patients suffering from life-threatening disease and end-of-life care aspects have gained increasing attention in public perception. The increasing focus on palliative medicine questions can be considered to be paradigmatic for this development. Palliative medicine became a compulsory subject of the undergraduate curriculum in Germany to be implemented until 2013. The preexisting conditions and qualifications at the medical faculties vary, though. We describe the conceptual process, didactic background, and first experiences with the new interdisciplinary course "Delivering bad news" as a compulsory part of the palliative medicine curriculum. METHODS: Since autumn 2009, this course has been taught at the University Medical Center Göttingen, consisting of two double lessons in the final year of medical education. Considering the curriculum-based learning goals in Göttingen, the focus of this course is to impart knowledge, attitudes and communication skills relating to "bad news". RESULTS: Although the seminar requires adequate staff and is time-consuming, students have accepted it and gave high marks in evaluations. In particular, the teachers' performance and commitment was evaluated positively. DISCUSSION AND CONCLUSIONS: We describe the first experiences with a new course. Didactic structure, theoretical contents, role-plays and usage of media (film, novel) are well- suited to communicate topics such as "bad news". Additional experiences and evaluations are necessary. According to the progressive nature of learning, it might be worthwhile to repeat communication- centered questions several times during medical studies.
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Project description:The computer game Foldit is currently widely used as a biology and biochemistry teaching aid. Herein, we introduce a new feature of Foldit called "custom contests" that allows educators to create puzzles that fit their curriculum. The effectiveness of the custom contests is demonstrated by the use of five distinct custom contests in an upper-level biochemistry class. The new custom contest feature can be implemented in classes ranging from middle school to graduate school to enable educators to best complement their current curriculum. © 2019 International Union of Biochemistry and Molecular Biology, 47(2): 133-139, 2019.
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Project description:With the increasingly rapid growth of data in life sciences we are witnessing a major transition in the way research is conducted, from hypothesis-driven studies to data-driven simulations of whole systems. Such approaches necessitate the use of large-scale computational resources and e-infrastructures, such as the European Grid Infrastructure (EGI). EGI, one of key the enablers of the digital European Research Area, is a federation of resource providers set up to deliver sustainable, integrated and secure computing services to European researchers and their international partners. Here we aim to provide the state of the art of Grid/Cloud computing in EU research as viewed from within the field of life sciences, focusing on key infrastructures and projects within the life sciences community. Rather than focusing purely on the technical aspects underlying the currently provided solutions, we outline the design aspects and key characteristics that can be identified across major research approaches. Overall, we aim to provide significant insights into the road ahead by establishing ever-strengthening connections between EGI as a whole and the life sciences community.
| S-EPMC4477178 | biostudies-literature
Project description:Hateful commenting, also known as 'toxicity', frequently takes place within news stories in social media. Yet, the relationship between toxicity and news topics is poorly understood. To analyze how news topics relate to the toxicity of user comments, we classify topics of 63,886 online news videos of a large news channel using a neural network and topical tags used by journalists to label content. We score 320,246 user comments from those videos for toxicity and compare how the average toxicity of comments varies by topic. Findings show that topics like Racism, Israel-Palestine, and War & Conflict have more toxicity in the comments, and topics such as Science & Technology, Environment & Weather, and Arts & Culture have less toxic commenting. Qualitative analysis reveals five themes: Graphic videos, Humanistic stories, History and historical facts, Media as a manipulator, and Religion. We also observe cases where a typically more toxic topic becomes non-toxic and where a typically less toxic topic becomes "toxicified" when it involves sensitive elements, such as politics and religion. Findings suggest that news comment toxicity can be characterized as topic-driven toxicity that targets topics rather than as vindictive toxicity that targets users or groups. Practical implications suggest that humanistic framing of the news story (i.e., reporting stories through real everyday people) can reduce toxicity in the comments of an otherwise toxic topic.
| S-EPMC7034861 | biostudies-literature
Project description:While science has profound social impacts, we often teach biology as removed from societally debated issues. Here, we address this gap in biology education through the implementation of novel materials that promote ideological awareness (IA). Using mixed-method analyses, we explore students' perceptions of the relationship between science and society, as well as their attitudes toward and knowledge of IA in biology. We found students that received the IA curriculum reported relationships between science and society that aligned with the IA activities, such as providing solutions to societal problems and combating misinformation. Additionally, we discovered a preference for IA materials over a traditional curriculum, with persons excluded because of their ethnicity and race (PEERs) reporting greater approval than non-PEERs. Although we found that the IA curriculum did not result in significant gains in science identity, engagement in biology, or science community values, we did find that students gained awareness of IA topics through a task in which they named as many scientists as possible. Specifically, IA students displayed a 300% increase in the frequency of named scientists from minoritized backgrounds compared with the traditionally taught students. We encourage instructors to incorporate IA materials into their curricula as we move toward more diverse, equitable, and inclusive teaching practices.
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Project description:In addition to being one of the early pioneers in protein crystallography, Carl Brändén made significant contributions to science education with his elegant and beautifully illustrated book Introduction to Protein Structure (Brändén and Tooze, New York: Garland, 1991). It is truly an honor to receive this award in their names. This award and the 40th anniversary of the Protein Data Bank (PDB; Berman et al., Structure 2012;20:391-396) have given me an opportunity to reflect on the various components that have contributed to building a resource for protein science and to try to quantify the impact of having PDB data openly available.
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