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Recombinant DNA technologies of the current era, most of which are comparable to past works of science fiction, have had diverse and significant impacts on social life. Among them, genetic sequencing deserves particular attention. The widespread use of genetic testing has raised numerous concerns regarding autonomy, confidentiality and privacy. In this context, the proliferation of 'gene for X' reports influences debates about the potentially beneficial or detrimental uses of genetics. While several studies have reported concerns related to the collection, storage and use of genetic data, few have considered the technical shortcomings that can affect the reliability of interpretation of sequencing data. In this essay, we will cover some of the current practices of genetic testing and safety aspects of DNA data. To evaluate the reliability of DNA data we will raise the question whether an 'overestimation' of researchers' results might reflect an 'underestimation' of our genetic make-up in terms of the limitations of the parameters necessary for the correct interpretation of genomic DNA. Following that question we will highlight the responsibility of researchers for proper science communication to avoid misleading information about genetic sequencing data.
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Despite the importance of transparent communication of uncertainty surrounding scientific findings, there are concerns that communicating uncertainty might damage the public perception and dissemination of science. Yet, a lack of empirical research on the potential impact of uncertainty communication on the diffusion of scientific findings poses challenges in assessing such claims. We studied the effect of uncertainty in a field study and a controlled experiment. In Study 1, a natural language processing analysis of over 2 million social media (Twitter/X) messages about scientific findings revealed that more uncertain messages were shared less often. Study 2 replicated this pattern using an experimental design where participants were presented with large-language-model (LLM)-generated high- and low-uncertainty messages. These results underscore the role of uncertainty in the dissemination of scientific findings and inform the ongoing debates regarding the benefits and the risks of uncertainty in science communication.
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Though scientific consensus regarding HIV causation of AIDS was reached decades ago, denial of this conclusion remains. The popularity of such denial has waxed and waned over the years, ebbing as evidence supporting HIV causation mounted, building again as the internet facilitated connection between denial groups and the general public, and waning following media attention to the death of a prominent denier and her child and data showing the cost of human life in South Africa. Decades removed from these phenomena, HIV denial is experiencing another resurgence, coupled to mounting distrust of public health, pharmaceutical companies, and mainstream medicine. This paper examines the history and current state of HIV denial in the context of the COVID pandemic and its consequences. An understanding of the effect of this phenomenon and evidence-based ways to counter it are lacking. Community-based interventions and motivational interviewing may serve to contain such misinformation in high-risk communities.
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Changes in global mean sea level are a clear indicator of a warming climate, but local factors including land subsidence or uplift, cause changes in relative sea level that drive shoreline shifts. These local changes and their impact on coastal hazards matter to coastal communities. NZ SeaRise produced relative sea level projections for Aotearoa to include the latest global climate and Antarctic Ice Sheet research and estimates of vertical land movement at high spatial resolution. Research-informed communication to the public and planners included a web-based projections tool supplemented by written and visual narratives, and a media engagement plan. This communication, and analysis of media impact, provided a case study for audience-relevant information on sea-level rise. Information regarding shoreline change and evolving hazards, required for risk assessment, was not included in the NZ SeaRise projections. New research is needed to reduce uncertainty in future Antarctic Ice Sheet contribution to sea level, link changes in sea surface height to our dynamic land surface and enhance communication approaches. Several examples of the required research are presented here but ongoing efforts must refine the timing and magnitude of coastline change, better define coastal hazards and risks, and develop appropriate adaptation strategies for unavoidable climate change impacts.
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Background: Scientific publications have been growing exponentially, contributing to an oversaturated information environment. Quantifying a research output's impact and reach cannot be solely measured by traditional metrics like citation counts as these have a lag time and are largely focused on an academic audience. There is increasing recognition to consider 'alternative metrics' or altmetrics to measure more immediate and broader impacts of research. Better understanding of altmetrics can help researchers better navigate evolving information environments and changing appetites for different types of research. Objectives: Our study aims to: 1) analyse the amount and medium of Altmetric coverage of health research produced by Irish organisations (2017 - 2023), identifying changes over time and 2) investigate differences in the amount of coverage between clinical areas (e.g., nutrition vs. neurology). Methods: Using Altmetric institutional access, we will gather data on research outputs published 1 January 2017 through 31 December 2023 from active Irish organisations with Research Organisation Registry (ROR) IDs. Outputs will be deduplicated and stratified by their Australian and New Zealand Standard Research Classification relating to ≥1 field of health research: Biological Sciences, Biomedical and Clinical Sciences, Chemical Sciences, Health Sciences, and Psychology. We will clean data using R and perform descriptive analyses, establishing counts and frequencies of coverage by clinical area and medium (e.g., traditional news, X, etc.); data will be plotted on a yearly and quarterly basis where appropriate. Results and Conclusions: Improved understanding of one's information environment can help researchers better navigate their local landscapes and identify pathways for more effective communication to the public. All R code will be made available open-source, allowing researchers to adapt it to evaluate their local landscapes.
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Understanding motivation and impact of participation in public engagement programs is crucial for fostering dialogue between researchers and the public. Using Self-Determination Theory and Reflexive Thematic Analysis, in this study we analyzed motivation and impact on identity of researchers participating in Bright Club Ireland, a public engagement project where academic researchers learn to use stand-up comedy as an informal and accessible means of communicating their research, then perform at a public-facing variety night alongside professional comedians. Through semi-structured interviews and focus groups, we found that participation in Bright Club is largely intrinsically motivated, driven by researchers' desire to gain skills, be recognized as experts, and present their own perspectives on their disciplines. These findings shed light on how participation in public engagement can promote a sense of autonomy, competence, and relatedness among researchers, and highlight the role of creative expression in facilitating reflection and growth.
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The tutelage of our mentors as scientists included the analogy that writing a good scientific paper was an exercise in storytelling that omitted unessential details that did not move the story forward or that detracted from the overall message. However, the advice to not get lost in the details had an important flaw. In science, it is the many details of the data themselves and the methods used to generate and analyze them that give conclusions their probative meaning. Facts may sometimes slow or distract from the clarity, tidiness, intrigue, or flow of the narrative, but nevertheless they are important for the assessment of what was done, the trustworthiness of the science, and the meaning of the findings. Nevertheless, many critical elements and facts about research studies may be omitted from the narrative and become hidden from scholarly scrutiny. We describe a "baker's dozen" shortfalls in which such elements that are pertinent to evaluating the validity of scientific studies are sometimes hidden in reports of the work. Such shortfalls may be intentional or unintentional or lie somewhere in between. Additionally, shortfalls may occur at the level of the individual or an institution or of the entire system itself. We conclude by proposing countermeasures to these shortfalls.
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Projetos de Pesquisa , Humanos , Ética em Pesquisa , Ciência , Redação , Relatório de Pesquisa/normas , Narração , Mentores , Editoração/normas , Reprodutibilidade dos Testes , PesquisaRESUMO
Few studies have explored how science communication projects are evaluated and what impact they have. This study aims to fill this gap by analyzing the results of science communication projects carried out by academics. Drawing on the theory of change and evaluation models, possible results of science communication projects are conceptually distinguished at the levels of outputs, outcomes, and impacts. The study draws on a dataset of 128 science communication projects funded by the Swiss National Science Foundation from 2012 to 2022. Quantitative content analysis reveals few rigorous evaluation designs and a focus on reporting outputs, while outcomes and societal impacts are often neglected.
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The concept of 'audience' is central to research and practice in science communication. When asked by a scientist for help communicating their work, who among us has not responded with the time honoured question 'who is your audience?' Yet what we mean when we talk about audience is not always clear: implied and ambiguous, rather than explicit and precise. This article explores this ambiguity, drawing on a systematic review of 1360 science communication research articles and a survey of 45 science communication educators. We report 10 different conceptualisations, in three groups. Being conceptualisations include 'Demographic', 'Knowledge', 'Values' and 'Embodied'; Doing conceptualisations include 'Interaction' and 'Dynamic'. In Qualifiers, we found 'Diverse', 'Potential', 'Plural' and 'General' conceptualisations. These data allow tracking of how we have conceptualised audience over time, an understanding of the groups systematically under-serviced, and a pathway to a richer discussion of this key concept for our field.
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This essay critically analyzes the widespread phenomenon of claiming relevance when reporting original research. Specific examples from an area of method development in organofluorine chemistry demonstrate that the pursuit of worthiness of the corresponding research is mainly justified by putting forward a broad general industrial context that could potentially benefit in form of applications. However, it is deliberately ignored that such applications are in the vast majority of cases highly improbable or objectively unrealistic. Notwithstanding that scientists are nowadays often explicitly forced to orchestrate relevance, be it by researchfinancing institutions and/or journals' reviewers, it is argued that this is, from the point of view of research ethics at least, problematic.
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Vaccine hesitancy was a serious problem in the United States throughout the COVID-19 pandemic, due in part to the reduction in public trust in science that accompanied the pandemic. Now we are facing a new, similar but more extensive problem: booster hesitancy. Even fewer Americans are current on the mRNA booster. We present the results of an experiment with residents of the US who received all initial doses of the mRNA vaccine but who were not up to date on the booster. Participants read a scientific explanation describing either the safety or the effectiveness of the boosters or nothing in the control group. The explanations significantly increased (compared to the control) participants' perceptions of the safety and effectiveness of the mRNA booster, as well as their willingness to get boosted. Explanations also improved emotions and attitudes toward the booster. Furthermore, although liberals were significantly more willing to get boosted than were conservatives, improvement due to the explanations was similar across political ideology groups. However, when interactions were observed, conservatives increased to a greater degree. Importantly, the explanations increased participants' perception of scientists' expertise and knowledge, as well as participants' trust in scientists and the vaccine technology.
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The agricultural sector in Bangladesh is currently facing numerous challenges. The country is currently endeavoring to adopt modern biotechnological tools, such as genetic engineering, to modify crops with the aim of ensuring food security. Notably, Bt Brinjal represents a significant milestone as the first genetically engineered (GE) food crop commercially cultivated in South Asia. Public perception and awareness are crucial steps forward for accepting and commercializing GE crops within society. The study discussed here aims to assess public perception and awareness regarding modern biotechnology and GE crops, focusing mainly on Bt Brinjal in Bangladesh. A random survey considered demographic factors such as age, gender, hometown, educational qualification, and occupation to explore the public attitudes towards Bt Brinjal and modern biotechnology. Approximately one-third of those surveyed considered Bt Brinjal safe for consumption, and a third expressed a willingness to buy Bt Brinjal, while nearly two-thirds believed it would gain popularity in the market alongside other crops. Most respondents recognized the necessity of utilizing modern biotechnology for crop improvement beyond Bt Brinjal, and respondents with science backgrounds displayed higher awareness and a more positive attitude than those with limited education or non-science backgrounds. This study explores the public perceptions of Bt Brinjal and the adoption of modern biotechnology in Bangladesh by examining factors such as knowledge dissemination, acceptance levels, and concerns related to GE crops, and offers a meaningful perspective that can shape decision-making processes to promote agricultural sustainability and achieve relevant sustainable development goals in Bangladesh.
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Molecular visualization is a powerful way to represent the complex structure of molecules and their higher order assemblies, as well as the dynamics of their interactions. Although conventions for depicting static molecular structures and complexes are now well established and guide the viewer's attention to specific aspects of structure and function, little attention and design classification has been devoted to how molecular motion is depicted. As we continue to probe and discover how molecules move - including their internal flexibility, conformational changes and dynamic associations with binding partners and environments - we are faced with difficult design challenges that are relevant to molecular visualizations both for the scientific community and students of cell and molecular biology. To facilitate these design decisions, we have identified twelve molecular animation design principles that are important to consider when creating molecular animations. Many of these principles pertain to misconceptions that students have primarily regarding the agency of molecules, while others are derived from visual treatments frequently observed in molecular animations that may promote misconceptions. For each principle, we have created a pair of molecular animations that exemplify the principle by depicting the same content in the presence and absence of that design approach. Although not intended to be prescriptive, we hope this set of design principles can be used by the scientific, education, and scientific visualization communities to facilitate and improve the pedagogical effectiveness of molecular animation.
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Undergraduate neuroscience researchers and educators have a vital voice in working with policymakers to raise public awareness and increase support and funding for neuroscience. While there are many avenues and opportunities to become involved in neuroscience advocacy, finding the most effective training strategies, resources, and opportunities for involvement can sometimes be difficult and overwhelming. To address this challenge and inform faculty of science advocacy opportunities for undergraduates, we organized a mini-symposium at the 2023 Faculty for Undergraduate Neuroscience (FUN) Workshop. Attendees had the opportunity to engage with a panel of experts with diverse experiences in neuroscience advocacy and policy. Topics presented and discussed included the importance of advocacy, effective training practices and resources, advice for scientific communication with a non-scientific audience, and various opportunities for advocacy involvement for undergraduate students. We share here our rationale and goals as we set out to plan this mini-symposium, a brief description of each panelist's career trajectory, relevant resources, and major takeaways. We reflect on the lessons learned from this session and recognize the need for an on-going conversation about careers involving science policy, science communication training, and opportunities for undergraduate students. Accordingly, we share future directions and recommendations to help faculty equip not only themselves but also their undergraduate trainees with the knowledge, practical skills, and resources required to engage with their communities as informed citizens.
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Neuroprivacy, or the privacy of neural data, has attracted considerable interest. Here, we explore the implications of neuroprivacy in human brain organoid research, detailing different interpretations of this right. Findings suggest a limited connection between neuroprivacy and brain organoid research, underscoring the importance of further examination of this critical issue.
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Generative artificial intelligence in general and ChatGPT in particular have risen in importance. ChatGPT is widely known and used increasingly as an information source for different topics, including science. It is therefore relevant to examine how ChatGPT portrays science and science-related issues. Research on this question is lacking, however. Hence, we simulate "interviews" with ChatGPT and reconstruct how it presents science, science communication, scientific misbehavior, and controversial scientific issues. Combining qualitative and quantitative content analysis, we find that, generally, ChatGPT portrays science largely as the STEM disciplines, in a positivist-empiricist way and a positive light. When comparing ChatGPT's responses to different simulated user profiles and responses from the GPT-3.5 and GPT-4 versions, we find similarities in that the scientific consensus on questions such as climate change, COVID-19 vaccinations, or astrology is consistently conveyed across them. Beyond these similarities in substance, however, pronounced differences are found in the personalization of responses to different user profiles and between GPT-3.5 and GPT-4.
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BACKGROUND: Several health institutions developed strategies to improve health content on Wikimedia platforms given their unparalleled reach. The objective of this study was to compare an online volunteer-based Wikimedia outreach campaign with university course Wikipedia assignments (both focused on improving hearing health content in Wikimedia's public digital knowledge archives), in terms of the reach of the contributions and the extent of the participants' input. A secondary objective was to examine the feasibility and the implementation of the different strategies. METHODS: The research team partnered for the (1) coordination of improvements in hearing and healthcare content through educational programs using Wikimedia platforms, (2) participation in the global campaign Wiki4WorldHearingDay2023 and (3) evaluation of the proposed strategies. Metrics used in the comparison of the two strategies included the number of articles edited, number of views of the edited articles (as reach) and the extent of edits, captured as the number of words. The feasibility evaluation included assessing recruitment success and the implementation of the proposed plan among faculty, students from various university programs, and volunteers representing different constituencies. RESULTS: The effort increased the availability of quality plain language information on hearing conditions and hearing care. Both strategies demonstrated to be feasible by their success in recruiting participants who contributed to the effort and by measurable outputs as edits. The contribution of content to Wikimedia platforms as part of education activities provided a more robust result. Wiki4WorldHearingDay2023 145 participants (78 from educational programs) contributed 167,000 words, 258 + references and 140 images to 322 Wikipedia articles (283 existing and 39 new ones), which were viewed 16.5 million times. Contributions occurred in six languages. Edits in Portuguese, mainly by those involved in educational programs, led the number of articles (226 or 70.2%) that were expanded or created during the 5-month tracking period. CONCLUSIONS: The elements that contributed to the success of the studied strategies include an impact topic, coordination with educational programs, international multidisciplinary collaborations, the dissemination of the initiative in several platforms, connection with a robust local Wikimedia affiliate, and the use of a technical infrastructure that provides metrics and coordination mechanisms.
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Crowdsourcing , Voluntários , Humanos , Internet , Perda Auditiva , Informação de Saúde ao Consumidor , Estudos de Viabilidade , Promoção da Saúde/métodos , Educação em Saúde/métodosRESUMO
This article evaluated the effectiveness of using generative AI to simplify science communication and enhance the public's understanding of science. By comparing lay summaries of journal articles from PNAS, yoked to those generated by AI, this work first assessed linguistic simplicity differences across such summaries and public perceptions in follow-up experiments. Specifically, study 1a analyzed simplicity features of PNAS abstracts (scientific summaries) and significance statements (lay summaries), observing that lay summaries were indeed linguistically simpler, but effect size differences were small. Study 1b used a large language model, GPT-4, to create significance statements based on paper abstracts and this more than doubled the average effect size without fine-tuning. Study 2 experimentally demonstrated that simply-written generative pre-trained transformer (GPT) summaries facilitated more favorable perceptions of scientists (they were perceived as more credible and trustworthy, but less intelligent) than more complexly written human PNAS summaries. Crucially, study 3 experimentally demonstrated that participants comprehended scientific writing better after reading simple GPT summaries compared to complex PNAS summaries. In their own words, participants also summarized scientific papers in a more detailed and concrete manner after reading GPT summaries compared to PNAS summaries of the same article. AI has the potential to engage scientific communities and the public via a simple language heuristic, advocating for its integration into scientific dissemination for a more informed society.
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Science communication has diversified in the wake of the digital transformation of communication and media ecosystems. Social media enable universities, but also academics and institutions affiliated with them, to expand their communication. This leads to increasing plurivocality of universities, yet the many different voices remain largely unexplored. This study develops a typology to conceptually distinguish eight voices by their representational role, hierarchical embeddedness, type, and affiliation. Based on a quantitative content and social network analysis of more than 600 Twitter accounts linked to a research university, it identifies six types of voices empirically. The study compares interactions among these voices, showing differences between central and decentral, as well as institutional and individual voices, and highlighting closer exchanges between voices within the same disciplinary communities. It also examines topics and tonality, revealing that decentral institutional voices engage most in science-related topics, and that only current and former students express critical views.