The Integrative Expert: Moral, Epistemic, and Poietic Virtues in Transformation Research

Over the past 50 years, policy makers have sought to shape new and emerging technologies in light of societal risks, public values, and ethical concerns. While much of this work has taken place during “upstream” research prioritization and “downstream” technology regulation, the actual “midstream” work of engineers and other technical experts has increasingly been seen as a site for governing technology in society. This trend towards “socio-technical integration” is reflected in various governance frameworks such as Sustainable Development (SD), Technology Assessment (TA), and Responsible Innovation (RI) that are at the center of transformation research. Discussions around SD, TA, and RI often focus on meso- and macro-level processes and dynamics, with less attention paid to the qualities of individuals that are needed to support transformation processes. We seek to highlight the importance of micro-level practices by drawing attention to the virtues of technical experts. Drawing on empirical study results from embedding philosophical-reflective dialogues within science and engineering laboratories, we claim that poietic, as well as moral and epistemic, virtues belong to those required of technical experts who foster integrative practices in transformation research

Designing as playing games of make-believe

Designing complex products involves working with uncertainties as the product, the requirements and the environment in which it is used co-evolve, and designers and external stakeholders make decisions that affect the evolving design. Rather than being held back by uncertainty, designers work, cooperate and communicate with each other notwithstanding these uncertainties by making assumptions to carry out their own tasks. To explain this, the paper proposes an adaptation of Kendall Walton’s make-believe theory, to conceptualize designing as playing games of make-believe by inferring what is required and imagining what is possible given the current set of assumptions and decisions, while knowing these are subject to change. What one is allowed and encouraged to imagine, conclude or propose is governed by socially agreed rules and constraints. The paper uses jet engine component design as an example to illustrate how different design teams make assumptions at the beginning of design activities and negotiate what can and cannot be done with the design. This often involves iteration – repeating activities under revised sets of assumptions. As assumptions are collectively revised they become part of a new game of make-believe in the sense that there is social agreement that the decisions constitute part of the constraints that govern what can legitimately be inferred about the design or added to it

Representation and similarity: Suarez on necessary and sufficient conditions of scientific representation

The notion of scientific representation plays a central role in current debates on modeling in the sciences. One or maybe the major epistemic virtue of successful models is their capacity to adequately represent specific phenomena or target systems. According to similarity views of scientific representation, models should be similar to their corresponding targets in order to represent them. In this paper, Suarez’s arguments against similarity views of representation will be scrutinized. The upshot is that the intuition that scientific representation involves similarity is not refuted by the arguments. The arguments do not make the case for the strong claim that similarity between vehicles and targets is neither necessary nor sufficient for scientific representation. Especially, one claim that a similarity view wants to uphold, still, is the following thesis: only if a vehicle is similar to a target in relevant respects and to a specific degree of similarity then the vehicle is a scientific representation of that target.Ethics & Philosophy of Technolog