This paper argues that challenges that are grand in scope such as "lifelong health and wellbeing", "climate action", or "food security" cannot be addressed through scientific research only. Indeed scientific research could inhibit addressing such challenges if scientific analysis constrains the multiple possible understandings of these challenges into already available scientific categories and concepts without translating between these and everyday concerns. This argument builds on work in philosophy of science and race to postulate a process through which non-scientific notions become (...) part of science. My aim is to make this process available to scrutiny: what I call founding everyday ideas in science is both culturally and epistemologically conditioned. Founding transforms a common idea into one or more scientifically relevant ones, which can be articulated into descriptively thicker and evaluatively deflated terms and enable operationalisation and measurement. The risk of founding however is that it can invisibilise or exclude from realms of scientific scrutiny interpretations that are deemed irrelevant, uninteresting or nonsensical in the domain in question-but which may remain salient for addressing grand-in-scope challenges. The paper considers concepts of "wellbeing" in development economics versus in gerontology to illustrate this process. (shrink)

This collection addresses two different audiences: 1) historians and philosophers of the life sciences reflecting on collaborations across disciplines, especially as regards defining and addressing Grand Challenges; 2) researchers and other stakeholders involved in cross-disciplinary collaborations aimed at tackling Grand Challenges in the life and medical sciences. The essays collected here offer ideas and resources both for the study and for the practice of goal-driven cross-disciplinary research in the life and medical sciences. We organise this introduction in three sections. The (...) first section provides some background and context. The second motivates our take on this topic and then outlines the central ideas of each paper. The third section highlights the specificity and significance of this approach by considering: a) how this collection departs from existing literature on inter- and trans-disciplinarity, b) what is characteristic about this approach, and c) what role this suggests for the history and philosophy of the life sciences in addressing Grand Challenges. (shrink)

I propose that meat replacement is to meat, as drag is to gender. Meat replacement has the potential to shake concepts of meat, like drag does for gender. Meat replacements not only mimic meat but disclose how meat itself is performed in carnivorous culture -and show that it may be performed otherwise. My approach is inspired by the show RuPaul’s Drag Race. The argument builds on an imitation of Judith Butler’s work on gender performativity, performed by replacing ‘drag/ gender/ sex/ (...) heterosexism’ terms and relations in Butler’s text with ‘meat replacement/ meat/ species/ carnism’ ones. (shrink)

I propose that the intensification of meat production ironically makes meat concepts available to be populated by plants. I argue that what I call “technologies of effacement” facilitate the intensification of animal farming and slaughter by blocking face-to-face encounters between animals and people (Levinas 1969; Efstathiou 2018, 2019). My previous ethnographic work on animal research identifies technologies of effacement as including (a) architectures and the built environment, (b) entry and exit rules, (c) special garments, (d) naming and labeling procedures, and (...) (e) protocols for handling animals (Efstathiou 2018, 2019). Building on ethnographic research by Dawn Coppin (2003) and Nöellie Vialles (1994), in the United States and France respectively, I propose that (a) Concentrated Animal Feeding Operation (CAFO) buildings, gestation, and farrowing crates; (b) rules for entering and exiting the slaughterhouse; (c) white slaughterhouse garments; (d) unique identification systems; and (e) “trapping” animals before stunning can all operate as technologies of effacement. Though developed to serve other manifest aims, like hygiene, expediency, or safety, these technologies operate to sustain routine, inviting one to look at animals as tokens of a known type while blocking encounters between humans and animals (and also among animals) as radically different, morally significant Others (Efstathiou 2018, 2019). (shrink)

This chapter proposes that encountering the Other through the face can be conditioned by social and built technologies. In “The Name of a Dog, or Natural Rights,” Emmanuel Levinas relates his experience as a prisoner of war, held in a forced-labor camp in Nazi Germany. He contrasts being denied his humanity by other humans, “called free” (DF, 152), while being recognized as human—indeed as a friend—by a dog the prisoners named Bobby. The episode suggests that though the concept of the (...) face applies to humans, the face is not enough for facing, at least not in the setting of the camp. By contrast, the prisoners seem able to face and be faced by Bobby, even if Levinas remains inconclusive about whether the face applies to animals elsewhere. It follows that the face is operating less like a property, and more like a capacity, a mode as Levinas calls it. But what conditions encountering an Other in this mode? If the face is neither sufficient for facing, nor prior to it, then what conditions facing (or effacing)? I propose that social structures, techniques, architectures, professional roles, and so on matter in coming to face (or efface) the Other. I conclude this from analyzing human-animal encounters in a scientific space of exception: the animal lab. Building on empirical accounts of animal research, I propose that animal research is populated by what I call “technologies of effacement.” These include: (1) built architectures; (2) entering and exit procedures; (3) protective garments and equipment; (4) identification and labeling techniques; and (5) experimental protocols. These technologies serve other manifest ends, but they operate to condition encounters between humans and animals in the lab: they help block the face of humans and animals. (shrink)

Our main research question is how pliable Norwegian meat consumption practices are. However it is not any type of elasticity we are interested in. We are specifically interested in the scope for what we dub the “4Rs” of responsible meat consumption within existing food systems: 1. Reducing the amount of animal-based proteins used 2. Replacing animal-based protein with plant-based, or insect-based alternatives 3. Refining processes of utilization of animal-based protein to minimize emissions, loss and waste 4. Recognising animal-based protein as (...) precious –i.e. recognising the people and the animals involved in meat production. -/- These four principles are derived by analogy to ethical principles guiding the use of animals in research, the so-called “3Rs”, namely: the imperatives to reduce the number of animals needed to make a scientific inference, to replace animal experiments with other types of research, and where not possible to replace ‘more’ with ‘less’ sentient creatures, and to refine the experimental setup so it minimises the discomfort and/or distress inflicted upon the animals (Russell and Burch, 1959). There are no such principles guiding the use of animals in farming, given the farming industry intrinsically relies on increasing its resources, of which animals are one. The current profile of climate change however opens up a way to re-appreciate meat –indeed what we articulate as the fourth principle of recognizing the preciousness of meat, above, given planetary boundaries. We proceed to reflect on how these 4Rs can be modulated, from a cultural-social perspective, that is, we look at cultural factors that could stretch current food practices along the 4R aspects. (shrink)

With increasing publication and data production, scientific knowledge presents not simply an achievement but also a challenge. Scientific publications and data are increasingly treated as resources that need to be digitally ‘managed.’ This gives rise to scientific Knowledge Management : second-order scientific work aiming to systematically collect, take care of and mobilise first-hand disciplinary knowledge and data in order to provide new first-order scientific knowledge. We follow the work of Leonelli, Efstathiou and Hislop in our analysis of the use of (...) KM in semantic systems biology. Through an empirical philosophical account of KM-enabled biological research, we argue that KM helps produce new first-order biological knowledge that did not exist before, and which could not have been produced by traditional means. KM work is enabled by conceiving of ‘knowledge’ as an object for computational science: as explicated in the text of biological articles and computable via appropriate data and metadata. However, these founded knowledge concepts enabling computational KM risk focusing on only computationally tractable data as knowledge, underestimating practice-based knowing and its significance in ensuring the validity of ‘manageable’ knowledge as knowledge. (shrink)