This essay argues that scientific systems have two main functions typical to self-organising adaptive and complex systems: Exploration for and exploitation of information. The self-organising nature, or spontaneous order, of scientific systems was prominently conceived by polymath Michael Polanyi. Revisiting Polanyi’s philosophy of science reveals why scientific freedom is still today as important a value as ever, even though the notion of “freedom” itself must be revised. Namely, freedom of inquiry should serve to maintain a diverse and adaptive balance between (...) exploration and exploitation. This essay argues that current trends within science policy and scientific communities, from impact assessments to targeted research funding, are often inherently biased towards advancing exploitative functions over explorative activities. Concerns are raised over whether these exploitative biases suppress the explorative nature of scientific inquiry, and thus disturb the self-organisation of scientific systems by favouring hasty and sometimes negligent exploitation. Further concerns are raised as to whether these impaired adaptive capacities of scientific systems lead to reduced resilience of broader society. Finally, Polanyi’s vision of a Society of Explorers, where free exploration is vindicated and safeguarded, is revived in a 21st century context. (shrink)

During the second half of the last century, the importance of serendipitous events in scientific frameworks has been progressively recognized, fueling hard debates about their role, nature, and structure in philosophy and sociology of science. Alas, while discussing the relevance of the topic for the comprehension of the nature of scientific discovery, the philosophical literature has hardly paid attention to the cognitive significance of serendipity, accepting rather than examining some of its most specific features, such as its game-changing effect, the (...) unexpectedness of its occurrence, and its affinity with the concept of “luck”. Thus, in this paper we aim at analyzing these characteristics in the light of their cognitive implications in the recognition, performance, and possible stimulation of serendipitous events in relation to scientific discoveries. (shrink)

Humankind is currently confronted with a critical challenge that determines its very existence, not only on an individual, racial, or national level but as a whole species: the fight against climate change and environmental degradation. To win this battle, humanity needs innovations and non-linear thinking. Nature has long been a substantial information source for unthinkable discoveries that save human lives. The paper suggests that by understanding the nature, emergence, and mechanism of serendipity, the survival skill of humans, humanity can capitalize (...) on it to learn from nature and generate nature-based innovations that can address the climate and environmental degradation crises. In the era of Artificial Intelligence (AI) proliferation, AI will be a vital tool providing navigational and useful information to leverage the power of serendipity in climate and sustainability science. However, an eco-surplus culture that incorporates core values pertaining to nature and sees environmental sustainability as the conscience of the times needs to be built to direct and control the immense power of AI-leveraged serendipity. Insights applied in this paper are drawn from the book titled “A New Theory of Serendipity: Nature, Emergence and Mechanism”. (shrink)

Humankind is currently confronted with a critical challenge that determines its very existence, not only on an individual, racial, or national level but as a whole species: the fight against climate change and environmental degradation. To win this battle, humanity needs innovations and non-linear thinking. Nature has long been a substantial information source for unthinkable discoveries that save human lives. The paper suggests that by understanding the nature, emergence, and mechanism of serendipity, the survival skill of humans, humanity can capitalize (...) on it to learn from nature and generate nature-based innovations that can address the climate and environmental degradation crises. In the era of Artificial Intelligence (AI) proliferation, AI will be a vital tool providing navigational and useful information to leverage the power of serendipity in climate and sustainability science. However, an eco-surplus culture that incorporates core values pertaining to nature and sees environmental sustainability as the conscience of the times needs to be built to direct and control the immense power of AI-leveraged serendipity. Insights applied in this paper are drawn from the book titled “A New Theory of Serendipity: Nature, Emergence and Mechanism”. (shrink)

Purpose This article aims to gain a better understanding of the reasons why serendipity is designed for in different kinds of environments. Understanding these design intents sheds light on the value such designs bring to designers, in contrast to the users of the environment. In this way, the article seeks to contribute to the literature on cultivating serendipity from a designers’ point of view. -/- Design/methodology/approach An extensive review of the literature discussing designing for serendipity was conducted to elicit the (...) different motivations to design for serendipity. Based on these findings and a thorough analysis, a typology of design intents for serendipity is presented. -/- Findings The article puts forward four intents to design for serendipity: serendipity as an ideal, common good, mediator and feature. It also highlights that the current academic discourse puts a strong emphasis on two of them. It is argued that this academic abstraction could be problematic for how we deal with designs for serendipity, both in theory and practice. -/- Originality/value The novelty of this article is that it addresses the question of why to design for serendipity from a designer’s point of view. By introducing the notion of directionality it opens up the opportunity to discuss serendipity from multiple perspectives, which contributes to gaining a firmer understanding of serendipity. It allows to more explicitly formulate the different functions of a design for serendipity and thereby expands our knowledge on the value of designing for serendipity. At the same time, it sheds light on the potential threats to designing for serendipity. (shrink)

Scientific and medical practice both relate to and differ from each other, as do discussions of how to handle decisions under uncertainty in the laboratory and clinic respectively. While studies of science have pointed out that scientific practice is more complex and messier than dominant conceptions suggest, medical practice has looked to the rigour of scientific and statistical methods to address clinical uncertainty. In this article, we turn to epistemological studies of the laboratory to highlight how clinical practice already has (...) strategies for dealing with messiness. We draw on Hans-Jo ̈rg Rheinberger’s Toward a History of Epistemic Things, in which he invokes the metaphor of a spider’s web to explain the role of tacit practices in experimental biochemistry for helping practitioners manage messiness. We argue that diagnostic practices in clinical medicine employ similar, albeit codified, procedures to evaluate epistemic significance, ensure sensitivity to the unforeseen, and allow focused grounds for action. We consider three practices: (a) the pre-set structure of medical records, ensuring broad coverage in initial anamnesis, (b) the use of lists of differential diagnoses and ongoing ‘anchoring and adjusting’ as inquiry progresses, and (c) shared decision-making as an occasion to synthesize empirical evidence and reopen inquiry for potential missed information. We end by suggesting that while philosophy of medicine may learn from laboratory epistemology, the sciences may learn something from medical practice. (shrink)

In this paper, we will argue that, while Big Data enthusiasts imply that the analysis of massive data sets can produce serendipitous (that is, unexpected and fortunate) discoveries, the way those models are currently designed not only does not create serendipity so easily but also frequently generates zemblanitous (that is, expected and unfortunate) findings.

This paper proposes a conceptual framework for evaluating how social networking platforms fare as epistemic environments for human users. I begin by proposing a situated concept of epistemic agency as fundamental for evaluating epistemic environments. Next, I show that algorithmic personalisation of information makes social networking platforms problematic for users’ epistemic agency because these platforms do not allow users to adapt their behaviour sufficiently. Using the tracing principle inspired by the ethics of self-driving cars, I operationalise it here and identify (...) three requirements that automated epistemic environments need to fulfil: (a) the users need to be afforded a range of skilled actions; (b) users need to be sensitive to the possibility to use their skills; (c) the habits built when adapting to the platform should not undermine the user’s pre-existing skills. I then argue that these requirements are almost impossible to fulfil all at the same time on current SN platforms; yet nevertheless, we need to pay attention to these whenever we evaluate an epistemic environment with automatic features. Finally, as an illustration, I show how Twitter, a popular social networking platform, will fare regarding these requirements. (shrink)

New technologies are the source of uncertainties about the applicability of moral and morally connotated concepts. These uncertainties sometimes call for conceptual engineering, but it is not often recognized when this is the case. We take this to be a missed opportunity, as a recognition that different researchers are working on the same kind of project can help solve methodological questions that one is likely to encounter. In this paper, we present three case studies where philosophers of technology implicitly engage (...) in conceptual engineering (without naming it as such). We subsequently reflect on the case studies to find out how these illustrate conceptual engineering as an appropriate method to deal with pressing concerns in the philosophy of technology. We have two main goals. We first want to contribute to the literature on conceptual engineering by presenting concrete examples of conceptual engineering in the philosophy of technology. This is especially relevant, because the technologies that are designed based on the conceptual work done by philosophers of technology potentially have crucial moral and social implications. Secondly, we want to make explicit what choices are made when doing this conceptual work. Making explicit that some of the implicit assumptions are, in fact, debated in the literature allows for reflection on these questions. Ultimately, our hope is that conscious reflection leads to an improvement of the conceptual work done. (shrink)

In this paper, we explore the recent creation of “iBlastoids,” which are 3-D structures that resemble early human embryos prior to implantation which formed via self-organization of reprogrammed ad...

Previous studies on the follow-up effect of serendipity mostly focused on the positive effects and less on the negative effects. Therefore, the purpose of this article is to investigate the negative effect of serendipity on the purchase intention of unexpected products. To verify all hypotheses in this article, we used online and offline survey data in China. Three experimental results showed that serendipity contains a certain degree of uncertainty, which will cause consumers’ perceived risk and decrease the purchase intention of (...) unexpected products. Perceived risk plays a mediating role in the effect of serendipity on the purchase intention of unexpected products. Moreover, regulatory focus moderates the effect of serendipity on purchase intention of unexpected products. Specifically, for prevention-focused individuals, the negative effect of serendipity on the purchase intention of unexpected products is strengthened. For promotion-focused individuals, the negative effect of serendipity on the purchase intention of unexpected products is weakened. This article augments the understanding of the negative effects of serendipity and provides theoretical guidance and support for the management practice of marketers. (shrink)

Problem solving in a materially rich environment requires interacting with chance. Sixty-four participants were invited to solve 5-letter anagrams presented as movable tiles in conditions that either allowed the participants to move the tiles as they wished or only allowed random shuffling (without rearranging the tiles post shuffling) thus contrasting pure luck with an interactive model. We hypothesised that shuffling would break unhelpful mental sets and introduce beneficial unplanned problem-solving trajectories. However, participants performed significantly worse when shuffling, which suggests luck (...) plays less of a role than has been previously suggested. Granular analysis of seven critical cases revealed arbitrary path dependency across both conditions and moments of missed luck. It also questions current models of non-agentic luck and the ability to separate agent and luck. This research has implications for fostering better problem solving in an uncertain and fluid world. (shrink)