Recent developments in AI-research suggest that an AI-driven science might not be that far off. The research of for Melnikov et al. (2018) and that of Evans et al. (2018) show that automated systems can already have a distinctive role in the design of experiments and in directing future research. Common practice in many of the papers devoted to the automation of basic research is to refer to these automated systems as ‘agents’. What is this attribution of agency based on (...) and to what extent is this an important notion in the broader context of an AI-driven science? In an attempt to answer these questions, this paper proposes a new methodological framework, introduced as the Four-Fold Framework, that can be used to conceptualize artificial agency in basic research. It consists of four modeling strategies, three of which were already identified and used by Sarkia (2021) to conceptualize ‘intentional agency’. The novelty of the framework is the inclusion of a fourth strategy, introduced as conceptual modeling, that adds a semantic dimension to the overall conceptualization. The strategy connects to the other strategies by modeling both the actual use of ‘artificial agency’ in basic research as well as what is meant by it in each of the other three strategies. This enables researchers to bridge the gap between theory and practice by comparing the meaning of artificial agency in both an academic as well as in a practical context. (shrink)

How does science enter policy making, and for what purpose? Surely consulting scientific facts in making policy is done with a view to making policy decisions more reliable, and ultimately more objective. In this paper I address the way/s by which science contributes to achieving objectivity in policy making and social debate, and argue that objectivity is not exhausted by what scientific evidence contributes to either. In policy making and social debates, scientific evidence is taken into account alongside other relevant (...) factors. Such complex contexts of practical interaction constitute a challenge both for the objectivity of scientific evidence, and for the objectivity of the role of the scientist in the policy-making process I analyse a case study - the ongoing debate over the spread of bovine TB in the UK - that displays some of the worries and several of the aspects we ought to keep in mind when we bring scientific objectivity to bear on social debate and policy making. I argue in favour of a picture where scientific objectivity enters a productive and effective dialogue with practical objectivity. (shrink)

Several and repeated attempts have been made to say what objectivity consists of and why it should be pursued in research. In the first part of this paper two main strategies are singled out, sharing the assumption that there is a way objectivity can be thought of in the abstract, and that it can be instantiated in context—and in enough contexts to justify the abstract case. But not only is this assumption open to the objection that objectivity so conceived does (...) not admit of one clear definition that is appropriate in many or most contexts where we intend the term to do its work. It also does not seem to pay specific attention to what actually constitutes a context of practice, when we think of objectivity in some relation to such context. The aim of this paper is to question how context works both as a mechanism of meaning formation for the concept of objectivity, and as a practical framework for pursuing research objectively. To articulate a suitable notion of context some insight from recent literature in the philosophy of science is first introduced and then adapted to show how research practices successfully achieve objectivity as one of their aims. It will be argued that an idea of context that includes activities which are relevant and reliable towards a settled aim is the model of practice that makes objectivity a pursuable task in research. This contextual picture of objectivity, it will be suggested, might better serve the purpose of scientific research than either of the two descriptive strategies outlined at the beginning of this paper can do. (shrink)

When discussing scientific objectivity, many philosophers of science have recently focused on accounts that can be applied in practice when assessing the objectivity of something. It has become clear that in different contexts, objectivity is realized in different ways, and the many senses of objectivity recognized in the recent literature seem to be conceptually distinct. I argue that these diverse ‘applicable’ senses of scientific objectivity have more in common than has thus far been recognized. I combine arguments from philosophical discussions (...) of trust, from negative accounts of objectivity, and from the recent literature on epistemic risks. When we call X objective, we endorse it: we say that we rely on X, and that others should do so too. But the word ‘objective’ is reserved for a specific type of reliance: it is based on the belief that important epistemic risks arising from our imperfections as epistemic agents have been effectively averted. All the positive senses of objectivity identify either some risk of this type, or some efficient strategy for averting one or more such risks. (shrink)

Theories of rational choice are arguably the most prominent approaches to human behaviour in the social and behavioral sciences. At the same time, they have faced persistent criticism. In this paper, I revisit some of the core criticisms that have for a long time been levelled against them and discuss to what extent those criticisms are still effective, not only in light of recent advancements in the literature but also of the fact that there are different variants of rational choice (...) theories that have not been considered explicitly when criticizing them. (shrink)

The crisis of confidence in the social sciences has many corollaries which impact our research practices. One of these is a push towards maximal and mechanical objectivity in quantitative research. This stance is reinforced by major journals and academic institutions that subtly yet certainly link objectivity with integrity and rigor. The converse implication of this may be an association between subjectivity and low quality. Subjectivity is one of qualitative methodology’s best assets, however. In qualitative methodology, that subjectivity is often given (...) voice through reflexivity. It is used to better understand our own role within the research process, and is a means through which the researcher may oversee how they influence their research. Given that the actions of researchers have led to the poor reproducibility characterising the crisis of confidence, it is worthwhile to consider whether reflexivity can help improve the validity of research findings in quantitative psychology. In this report, we describe a combination approach of research: the data of a series of interviews helps us elucidate the link between reflexive practice and quality of research, through the eyes of practicing academics. Through our exploration of the position of the researcher in their research, we shed light on how the reflections of the researcher can impact the quality of their research findings, in the context of the current crisis of confidence. The validity of these findings is tempered, however, by limitations to the sample, and we advise caution on the part of our audience in their reading of our conclusions. (shrink)