Rasmus Rosenberg Larsen

Realists about aesthetic judgment believe something like the following: for an aesthetic judgment of be correct, it must respond to the intrinsic aesthetic properties possessed by the object in question (e.g., Meskin et al., 2013; Kieran 2010). However, Cutting’s (2003) empirical research on aesthetic judgment puts pressure on that position. His work indicates that unconscious considerations extrinsic to an artwork can underpin said judgements. This paper takes Cutting’s conclusion a step further: If philosophers grant that it’s possible to appreciate artwork on the basis of unconscious biases, then we never can be fully confident that our aesthetic judgment is undergirded by the intrinsic aesthetic properties of an artwork. Furthermore, if judgment on the basis of unconscious, external reasons cannot be ruled out, we cannot be confident that our aesthetic judgments are ‘correct’. I argue that Cutting’s research is just the tip of the iceberg regarding the extrinsic, unconscious factors that influence aesthetic judgment. Expectation bias formed via social influence and context greatly influence aesthetic judgments and are unavoidable: we inevitably form expectations based on all kinds of contextual cues independently of any actual exposure to the item in question. Such factors make it terribly difficult to be confident in our aesthetic judgments. Even if there are objective properties that mark out some items as aesthetically superior to others, we cannot be sure that our judgments are responding to those properties.

The Infectious Disease Ontology (IDO) is a suite of interoperable ontology modules that aims to provide coverage of all aspects of the infectious disease domain, including biomedical research, clinical care, and public health. IDO Core is designed to be a disease and pathogen neutral ontology, covering just those types of entities and relations that are relevant to infectious diseases generally. IDO Core is then extended by a collection of ontology modules focusing on specific diseases and pathogens. In this paper we present applications of IDO Core within various areas of infectious disease research, together with an overview of all IDO extension ontologies and the methodology on the basis of which they are built. We also survey recent developments involving IDO, including the creation of IDO Virus; the Coronaviruses Infectious Disease Ontology (CIDO); and an extension of CIDO focused on COVID-19 (IDO-CovID-19).We also discuss how these ontologies might assist in information-driven efforts to deal with the ongoing COVID-19 pandemic, to accelerate data discovery in the early stages of future pandemics, and to promote reproducibility of infectious disease research.