For a book that attempts to explain how to understand visuals in life sciences, it seems prudent to first explain what we mean by “visual,” even if it may seem quite a common word.

In everyday conversation, “visual” is often used as an adjective and means “relating to seeing or sight,” as in “visual impression” or “visual effect.” In the context of this book, “visual” is used similarly as an adjective, but in addition, and more often, it is used as a noun. As a noun, it refers to the variety of images used in life science communication. For example, photographs are a type of visual commonly used in life science communication, and so are drawings.

Illustrations are a visual staple in life science communication. Despite being commonplace, they are in many ways a blackbox. They mask the creative – and scientific – decisions that go into making them. They present an end product that says, as it were, “this is how you look through life to its essence.” The use of precise lines and explicit shapes helps to convey this scientific authority. In contemporary illustrations, pseudo-details such as colors and dimensions further prove that “this is what life looks like.”

Micrographs, like the little (pun intended) cousin of photographs, are considered by some as an objective portrayal of nature. Why, they are photographs of the microscopic world invisible to the naked human eye. As such, what you see is what you get, and what you get is nature unveiled.

Particularly because the microscopic world is invisible to us in everyday life, we find it even more urgent to behold that world. We assume that if and when we see, we will automatically understand. If and when we observe microorganisms in their smallest components, we will be able to “get” them and conquer them.

Contemporary life sciences are big data sciences. The human genome, for example, contains about three billion DNA base pairs and an estimated 20,000 protein-coding genes. Public health data, as another example, are endlessly enormous and encompass electronic medical records, health monitoring data, environmental data, and more. When it comes to analyzing and presenting these big data, interactive online visuals – maps, graphs, three-dimensional models, even computer games – have inherent advantages. They are dynamic and easily updated. They support user interaction and allow users to create displays that make sense to them. Being “hands-on” also makes these visual displays more interesting. As computer visualization technologies continue to advance, we are guaranteed to see faster, more fluid, more ingenious interactive displays.

As we have seen throughout this book, standalone visuals like photographs and illustrations are promising ways to communicate science to the public – and they carry their fair share of misconceptions and complications. These promises – as well as challenges – are multiplied in infographics.

The word “infographic” comes from the phrase “information graphic.” Originally, the term referred to the production of graphics for print media such as newspapers and magazines. Today it refers to a unique multimodal genre that combines data visualizations (i.e., graphs such as lines, pies, bars, and pictographs), illustrations (such as icons and drawings), photographs, and small amounts of text. When designed for online use, infographics can also have interactive components. For example, putting the mouse cursor somewhere on the infographic may reveal a small pop-up window with additional information. Some infographics are also animated: bars in a bar chart may grow, colors may change, or characters may move. This is often achieved by using animated GIF files that display a sequence of static images in a repeating loop, which creates the illusion of motion.

Graphs – such as line graphs or bar graphs – convey numerical data. They are commonly used in life science communication as well as other communication contexts, such as when conveying stock market data, crime statistics, or real estate trends. The prevalence of these graphs doesn’t mean, as some may assume, that they are always easy to understand. Depending on design choices, some graphs will be able to shed light on important numerical data for public understanding of science, while others are likely to confuse or leave readers with a heightened conviction that science is an inaccessible enterprise.

Photographs are often considered an “easy” and accessible type of scientific visual. After all, they are commonplace in everyday life and not exclusive to scientific research. Everyone takes photographs and knows what photographs are. As long as one can physically see, one (so it is thought) can get what a photograph is about. Unfortunately, when it comes to life science photographs, much of this is misconception. This chapter explains why.

This chapter examines how the language resources used to incorporate written historical evidence contribute to the negotiation of values regarding Mapuche people in primary and secondary Chilean official history textbooks. The study considers as a starting point the broad categories proposed by the ENGAGEMENT subsystem of the APPRAISAL system (Martin & White, 2005). Then it explores in detail the metaphorical, more or less evident and non-metaphorical interpersonal and experiential realisations involved in ENGAGEMENT in Spanish, adopting an interstratal tension perspective on the relation between discourse semantics and lexicogrammar strata. The study shows that the monoglossic orientation as well as the heteroglossic orientation of dialogic contraction tend to be realised by history textbook authors through non-metaphorical realisations. However, the inclusion of external voices as [expand: attribute] tends to be done by both metaphorical and non-metaphorical experiential realisations, and also by lexicogrammatical structures that although they cannot be considered as interpersonal or experiential grammatical metaphors, make the external voices less ‘recoverable’.

The overarching purpose of Extension is to facilitate the application of science to the broader public. To achieve this goal, the information we disseminate must be accurate, relevant, socially just, and beneficial, which requires rigorous evaluation to ensure (Braverman & Arnold, 2008; Monk et al., 2021). In this chapter, I demonstrate the complementarity of Extension and the process of research and evaluation by outlining the relevance of Extension as a (a) research-informed, (b) evidence-based, (c) culturally relevant, (d) interdisciplinary, and (e) public-scholarship enterprise. To illustrate each of these qualities of Extension, I will describe the ongoing development of a relationship-science dissemination program, Relevate. In its over 100 years of existence, Extension has been at the forefront of community-engaged, translational and transformative scholarship. The landscape of Extension has changed over time. However, shifts and challenges in engagement work can also represent new opportunities to be responsive and innovative. Extension is well positioned to continue carrying bringing research to the community and conducting impactful, innovative, and engaged scholarship.

As the largest publicly funded, nonformal education system in the United States, Cooperative Extension (a.k.a. “Extension”) has played a critical role in how technologies and innovations generated through state agricultural experiment stations (AES) and land-grant universities (LGUs) in the United States have been translated and shared directly to its constituents for over a century. Extension has served as a unique and robust system to collaborate, generate, and disseminate research, as well as to engage in mission-oriented work to support communities in optimizing their current and future circumstances and through collaborative partnerships shaping the ways in which we cultivate and preserve food, how we educate and care for our children, manage our finances, work with communities, and support populations disproportionality affected by structural inequities. The current volume brings together leading scholars to discuss Extension’s contributions to the well-being of children, youth, families, and communities; and to critically reflect on Extension’s future directions in light of significant shifts in the context in which it now operates.

Extension is uniquely positioned to reach and support underserved and underrepresented families. Although Extension excels at providing evidence-based programming for mothers, children, and youth, it has generally been less successful in engaging fathers. Recent evidence finds increased balanced sharing of caregiving responsibilities and fathers’ desire to engage with their children. Engaging fathers and incorporating father-centric programming is more important than ever. This chapter will highlight promising strategies for engaging fathers in Extension, including an example of a statewide needs assessment, technology-based programming, and community-based partnerships. We describe available evidence-based programs and approaches, both currently utilized with fathers and aptly positioned to accommodate fathers, along with promising opportunities and important considerations for Extension moving forward. Shifting the focus to better serve fathers in family-based programming will better engage and support underserved and vulnerable families, and Extension is a system that is critically important for meeting this challenge.

In this introductory chapter we begin by discussing the importance of perspective taking both in real life and in the context of reading fictional narratives. We assume that reading fiction promotes perspective taking during and beyond the completion of the narrative. We argue that until we have a solid grasp of the cognitive mechanisms of perspective taking, we cannot make strong claims about how reading fiction can change society or behavior. We end by describing our anticipated goals and contributions.