How to Boost the Impact of Scientific Conferences.

We can maximize the impact of scientific conferences by uploading all conference presentations, posters, and abstracts to highly trafficked public repositories for each content type. Talks can be hosted on sites like YouTube and Youku, posters can be published on Figshare, and papers and abstracts can become open access preprints.

Sex and gender analysis improves science and engineering.

The goal of sex and gender analysis is to promote rigorous, reproducible and responsible science. Incorporating sex and gender analysis into experimental design has enabled advancements across many disciplines, such as improved treatment of heart disease and insights into the societal impact of algorithmic bias. Here we discuss the potential for sex and gender analysis to foster scientific discovery, improve experimental efficiency and enable social equality. We provide a roadmap for sex and gender analysis across scientific disciplines and call on researchers, funding agencies, peer-reviewed journals and universities to coordinate efforts to implement robust methods of sex and gender analysis.

A brief history of the hypothesis.

Two terms used as frameworks for scientific experimentation--the "hypothesis" and the "model"--carry distinct philosophical assumptions, with important consequences for the practicing scientist.

Viewing the Invisible: Exploring common methodology across disciplines.

Viewing the Invisible is a multimedia collaboration that explores common methodology between arts and sciences. Portraits of science influencers were painted while dialogue between artist and subject was filmed. Here, we show the implementation of our recent exhibition as a model that can be adapted for use elsewhere in public or school settings to challenge misconceptions about the role of creativity in science and technical precision in art.

Improving big citizen science data: Moving beyond haphazard sampling.

Citizen science is mainstream: millions of people contribute data to a growing array of citizen science projects annually, forming massive datasets that will drive research for years to come. Many citizen science projects implement a "leaderboard" framework, ranking the contributions based on number of records or species, encouraging further participation. But is every data point equally "valuable?" Citizen scientists collect data with distinct spatial and temporal biases, leading to unfortunate gaps and redundancies, which create statistical and informational problems for downstream analyses. Up to this point, the haphazard structure of the data has been seen as an unfortunate but unchangeable aspect of citizen science data. However, we argue here that this issue can actually be addressed: we provide a very simple, tractable framework that could be adapted by broadscale citizen science projects to allow citizen scientists to optimize the marginal value of their efforts, increasing the overall collective knowledge.

Evaluating science communication.

Effective science communication requires assembling scientists with knowledge relevant to decision makers, translating that knowledge into useful terms, establishing trusted two-way communication channels, evaluating the process, and refining it as needed. Communicating Science Effectively: A Research Agenda [National Research Council (2017)] surveys the scientific foundations for accomplishing these tasks, the research agenda for improving them, and the essential collaborative relations with decision makers and communication professionals. Recognizing the complexity of the science, the decisions, and the communication processes, the report calls for a systems approach. This perspective offers an approach to creating such systems by adapting scientific methods to the practical constraints of science communication. It considers staffing (are the right people involved?), internal collaboration (are they talking to one another?), and external collaboration (are they talking to other stakeholders?). It focuses on contexts where the goal of science communication is helping people to make autonomous choices rather than promoting specific behaviors (e.g., voter turnout, vaccination rates, energy consumption). The approach is illustrated with research in two domains: decisions about preventing sexual assault and responding to pandemic disease.

Interdisciplinary Communication Needs to Become a Core Scientific Skill.

As scientific research has advanced so too has the complexity of the questions addressed. Cross-disciplinary collaborations are often the most efficient route to managing that complexity and require effective communication across boundaries. To continue driving science forward and be able to tackle global challenges, the art of good interdisciplinary communication needs to become a core skill in a scientist's portfolio.

Metaphors as models: Towards a typology of metaphor in ancient science.

Metaphors play a crucial role in the understanding of science. Since antiquity, metaphors have been used in technical texts to describe structures unknown or unnamed; besides establishing a terminology of science, metaphors are also important for the expression of concepts. However, a concise terminology to classify metaphors in the language of science has not been established yet. But in the context of studying the history of a science and its concepts, a precise typology of metaphors can be helpful. Metaphors have a lot in common with models in science, as has been observed already. In this paper, therefore, I suggest a typology of metaphor in ancient science to fill this terminological gap by using concepts applied to the classification of models in science, as coined by Rom Harré. I propose to differentiate between homeoconceptual metaphors (with the same conceptual frame between source and target) and paraconceptual metaphors (mapped via a different conceptual frame). Furthermore, functional and structural aspects of metaphors in ancient science are taken into account. Case studies from ancient texts displaying metaphors in ancient science are presented and classified following the outlined typology of metaphors.

Beyond politics: additional factors underlying skepticism of a COVID-19 vaccine.

Even before it had been developed there had already been skepticism among the general public concerning a vaccine for COVID-19. What are the factors that drive this skepticism? While much has been said about how political differences are at play, in this article I draw attention to two additional factors that have not received as much attention: witnessing the fallibility of the scientific process play out in real time, and a perceived breakdown of the distinction between experts and non-experts.

Practices and promises of Facebook for science outreach: Becoming a "Nerd of Trust".

Arguably, the dissemination of science communication has recently entered a new age in which science must compete for public attention with fake news, alternate facts, and pseudoscience. This clash is particularly evident on social media. Facebook has taken a prime role in disseminating fake news, alternate facts, and pseudoscience, but is often ignored in the context of science outreach, especially among individual scientists. Based on new survey data, scientists appear in large Facebook networks but seldom post information about general science, their own scientific research, or culturally controversial topics in science. The typical individual scientist's audience is large and personally connected, potentially leading to both a broad and deep engagement in science. Moreover, this media values individual expertise, allowing scientists to serve as a "Nerd of Trust" for their online friend and family networks. Science outreach via social media demands a renewed interest, and Facebook may be an overlooked high-return, low-risk science outreach tool in which scientists can play a valuable role to combat disinformation.

How to succeed in science: a concise guide for young biomedical scientists. Part II: making discoveries.

Making discoveries is the most important part of being a scientist, and also the most fun. Young scientists need to develop the experimental and mental skill sets that enable them to make discoveries, including how to recognize and exploit serendipity when it strikes. Here, I provide practical advice to young scientists on choosing a research topic, designing, performing and interpreting experiments and, last but not least, on maintaining your sanity in the process.