Until recently, statistical consultants did not have to worry about being replaced by artificial intelligence. There was no statistical analogue to ‘Dr Google’ before ChatGPT arrived on the scene. Although ChatGPT (most of the time) adequately responds to basic queries such as the assumptions of different statistical tests or summarises relevant manuals on statistical software providing clear instructions with point-and-click software such as SPSS, there are many important aspects of statistical consulting that ChatGPT does not cover. This tutorial article is about these aspects: a summary of what statistical consulting is, its purpose and possible settings during the empirical research cycle, the role and responsibilities of the consultant and the client, how to ensure a good consulting experience, how to prepare for a consulting session, typical questions and more. The article was written for researchers who are considering contacting a statistician for the first time and aims to facilitate a good and fruitful consulting experience for all parties involved.

Much ink has been spilled on the scientist–practitioner gap, that is, the apparent divide between knowledge published in academic peer-reviewed journals and the actual business practices employed in modern organizations. Most prior papers have advanced meaningful theories on why the gap exists, ranging from poor communication skills on the part of academics to paywalls and other obstacles preventing the public from accessing research in industrial-organizational psychology (I-O). However, very few papers on the scientist–practitioner gap have taken an empirical approach to better understand why the gap exists and what can be done about it. In our focal article, we specifically discuss the gap as it pertains to small businesses and present empirical data on the topic. Drawing from our experiences working with and in small businesses before entering a PhD program, we suggest that a primary reason for the existence of this gap is the differences between large and small businesses, and we advance two theory-driven reasons for why this is the case. Next, we compiled abstracts and practical implications sections from articles published in top I-O journals in the past 5 years, then we collected ratings and open-ended text responses from subject matter experts (i.e., small business owners and managers) in reaction to reading these sections. We close by recommending several potential perspectives, both for and against our arguments, that peer commentators can take in their responses to our focal article.

Some vaccine-hesitant people lack epistemic trust in the COVID-19 vaccine recommendation that because vaccines have been shown to be medically safe and effective, one ought to get vaccinated. Citing what I call exception information, they claim that whatever the general safety and efficacy of vaccines, the vaccines may not be safe and effective for them. Examples include parents citing information about their children's health, pregnant women's concerns about the potential adverse effects of treatment on pregnant women, young people citing their relative invulnerability to extreme COVID-19 symptoms, or members of vulnerable racial groups citing epistemic injustice, such as a lack of representation in COVID-19 vaccine trials. This paper examines the extent to which a lack of epistemic trust in vaccine recommendations, based on such exemption information, is rational.

Invasive species can have disastrous effects on the ecosystems they invade, requiring costly, labour-intensive mitigation. Public awareness campaigns are often used as a tool to reduce these species’ impacts. While heralded as useful and cost-effective, little evidence suggests that these campaigns contribute to meaningful biological outcomes. Furthermore, awareness campaigns are relatively understudied despite their usage as a common approach to mitigating invasive species. We conducted a literature review to assess publications that evaluated the efficacy of public awareness campaigns for managing invasive species. Out of 4382 papers initially extracted for analysis, we determined that 24 of them included studies conducted on awareness campaigns for invasive species. Four public awareness campaigns were deemed a ‘success’, and the other campaigns’ success was indeterminable due to study design. Our study revealed that inconsistencies in defined end points, unclear procedures and variability of campaigns contribute to there being insufficient evidence to determine the efficacy of public awareness campaigns. To evaluate the true efficacy of public awareness campaigns, we recommend that organizations conducting such campaigns implement rigorous and standardized assessments (e.g., Before–After Control–Impact designs or Bayesian analyses) that include measures of not just changes in the knowledge and behaviour of target audiences, but also relevant biological outcomes.

In recent works, Stephen John (2018, Social Epistemology 32(2), 75–87; 2019, Studies in History and Philosophy of Science Part A 78, 64–72) has deepened the social epistemological perspective on expert testimony by arguing that science communication often operates at the institutional level, and that at that level sincerity, transparency, and honesty are not necessarily epistemic virtues. In this paper I consider his arguments in the context of science journalism, a key constituent of the science communication ecosystem. I argue that this context reveals both the weakness of his arguments and a need for further analysis of how non-experts learn from experts.

The importance of inter- and transdisciplinary research for addressing today’s complex challenges has been increasingly recognised. This requires new forms of communication and interaction between researchers from different disciplines and nonacademic stakeholders. Demonstrators constitute a crucial communication tool in technology research and development and have the potential to leverage communication between different bodies of knowledge. However, there is little knowledge on how to design demonstrators. This research aims to understand how demonstrators from the fields Internet of Things and Robotics are designed to communicate technology. The goal is to increase the efficiency and effectiveness of demonstrator practice with readily implemented design knowledge and to advance theoretical knowledge in the field of communicating artefacts. We thematically analysed 28 demonstrator design cases, which led to a typology that assists in categorising and understanding 13 key design principles. The typology is built from three perspectives: First, in terms of the overall goal communication, second, in terms of visitor engagement goals (attraction, initial engagement, deep engagement) and third, in terms of resource-related goals (low effort in development and operation). With this typology, we have taken a significant step towards understanding demonstrator design principles for effective technology communication between different stakeholders.

Large-scale societal issues such as public health crises highlight the need to communicate scientific information, which is often uncertain, accurately to the public and policy makers. The challenge is to communicate the inherent scientific uncertainty — especially about the underlying quality of the evidence — whilst supporting informed decision making. Little is known about the effects that such scientific uncertainty has on people’s judgments of the information. In three experimental studies (total N=6,489), we investigate the influence of scientific uncertainty about the quality of the evidence on people’s perceived trustworthiness of the information and decision making. We compare the provision of high, low, and ambiguous quality-of-evidence indicators against providing no such cues. Results show an asymmetric relationship: people react more strongly to cues of low quality of evidence than they do to high quality of evidence compared to no cue. While responses to a cue of high quality of evidence are not significantly different from no cue; a cue of low or uncertain quality of evidence is accompanied by lower perceived trustworthiness and lower use of the information in decision making. Cues of uncertain quality of evidence have a similar effect to those of low quality. These effects do not change with the addition of a reason for the indicated quality level. Our findings shed light on the effects of the communication of scientific uncertainty on judgment and decision making, and provide insights for evidence-based communications and informed decision making for policy makers and the public.

During the COVID-19 pandemic, public health guidance (e.g., regarding the use ofnon-medical masks) changed over time. Although many revisions were a result ofgains in scientific understanding, we nonetheless hypothesized that makingchanges in guidance salient would negatively affect evaluations of experts andhealth-protective intentions. In Study 1 (N = 300), wedemonstrate that describing COVID-19 guidance in terms of inconsistency (versusconsistency) leads people to perceive scientists and public health authoritiesless favorably (e.g., as less expert). For participants in Canada(n = 190), though not the U.S. (n = 110),making guidance change salient also reduced intentions to download a contacttracing app. In Study 2 (N = 1399), we show that a briefforewarning intervention mitigates detrimental effects of changes in guidance.In the absence of forewarning, emphasizing inconsistency harmed judgments ofpublic health authorities and reduced health-protective intentions, butforewarning eliminated this effect.

The maxim of proponents of pseudoscience is to spread ignorance through false perceptions of its scientific status. One of its most attractive — and simultaneously harmful — manifestations is complementary and alternative medicine (CAM). Despite the scientific evidence against them, CAM has taken hold in today’s society as a therapeutic model for a growing segment of the population. We analysed 379 articles on homeopathy, acupuncture, reiki and Bach flower remedies published in mainstream Spanish newspapers (El País, El Mundo, La Vanguardia, El Periódico and ABC) for the period 2011-2016, finding that disinformation is participated in actively by the Spanish press. CAM content was detected in these newspapers, together with a lack of an editorial perspective. In most of the cases, the uncritical articles were found in the interpretive genre and the society section. We also characterized the pseudoscientific discourse aimed at the public, finding that it is irrational and fraudulent in sowing fear and distrust regarding science. On the basis of theories invalidated by the scientific method and on appeals to the emotions, pseudoscience not only threatens scientific knowledge, but directly undermines public health by encouraging the abandonment of conventional medicine. In order to remedy this situation, better scientific training, informative screening and editorial commitment is urgently needed in the Spanish press.

Politics and science have become increasingly intertwined. Salient scientific issues, such as climate change, evolution, and stem-cell research, become politicized, pitting partisans against one another. This creates a challenge of how to effectively communicate on such issues. Recent work emphasizes the need for tailored messages to specific groups. Here, we focus on whether generalized messages also can matter. We do so in the context of a highly polarized issue: extreme COVID-19 vaccine resistance. The results show that science-based, moral frame, and social norm messages move behavioral intentions, and do so by the same amount across the population (that is, homogeneous effects). Counter to common portrayals, the politicization of science does not preclude using broad messages that resonate with the entire population.

When laypersons are presented with scientific information which seeks to modify their way of life, they are expected to believe, suspend belief, or reject it. Second-order assessment of scientific experts helps laypersons to make an informed decision in such situations. This is an assessment of the trustworthiness of the person making the scientific claim. In this paper I challenge the optimistic view of Anderson (2011), regarding the ease with which laypersons can perform second-order assessment of experts, by pointing out some of the obstacles that may prevent laypersons from arriving at an informed decision through this means. By showing that laypersons cannot easily perform second-order assessment of experts, I make a case for sharing epistemic burdens in science communication by using Lackey's (2006) concept of dualism in the epistemology of testimony and Irzik and Kurtulmus’ (2019) work on public epistemic trust in science, as a guide. I invite experts to bear a greater share of the epistemic burden when communicating with laypersons because of their privileged epistemic condition vis-à-vis laypersons.

There are limited educational opportunities regarding aquatic invasive species (AIS) management that target laypersons. This is a significant gap, particularly as nonprofessionals are often tasked with making decisions about whether and how to pursue AIS control efforts, for example, through their roles in community lake associations. Thus, there is a need for educational programs to help consumers of AIS management services, “do-it-yourself” lakeshore homeowners, and other engaged nonprofessionals gain a stronger foundation in the science and practice of AIS management. We helped fill this unmet need through development of a new online course, AIS Management 101, that targets lakeshore property owners, lake association members, and other nonprofessionals engaged in AIS decision making, seeking to make them better-informed consumers. The course covers concepts ranging from basic invasive species biology to pesticide science, treatment evaluation, regulations and permitting, and nonchemical management tools. Participants in the course demonstrated significant knowledge gains through check-in and check-out knowledge assessments. Course participants also reported greater understanding of key issues pertaining to AIS management and application of this improved knowledge to actual management decisions following completion of the course. While this program focuses on management of aquatic invasive species, similar approaches could be applied to lay audiences engaged in management of terrestrial invasive species or other natural resource issues.