Innateness and the Sciences

The concept of innateness is a part of folk wisdom but is also used by biologists and cognitive scientists. This concept has a legitimate role to play in science only if the colloquial usage relates to a coherent body of evidence. We examine many different candidates for the post of scientific successor of the folk concept of innateness. We argue that none of these candidates is entirely satisfactory. Some of the candidates are more interesting and useful than others, but the interesting candidates are not equivalent to each other and the empirical and evidential relations between them are far from clear. Researchers have treated the various scientific notions that capture some aspect of the folk concept of innateness as equivalent to each other or at least as tracking properties that are strongly correlated with each other. But whether these correlations exist is an empirical issue. This empirical issue has not been thoroughly investigated because in the attempt to create a bridge between the folk view and their theories, researchers have often assumed that the properties must somehow cluster. Rather than making further attempts to import the folk concept of innateness into the sciences, efforts should now be made to focus on the empirical questions raised by the debates and pave the way to a better way of studying the development of living organisms. Such empirical questions must be answered before it can be decided whether a good scientific successor – in the form of a concept that refers to a collection of biologically significant properties that tend to co-occur – can be identified or whether the concept of innateness deserves no place in science.     

Biochemical Engineering Sciences

Cover illustration Special Issue: Biochemical Engineering Sciences. This Special Issue is a collection of the latest research in biochemical engineering science presented at the 9^th ESBES Conference in Istanbul, Turkey, in 2012. The cover illustrates the development in biochemical engineering science by showing symbols for several biochemical engineering subdisciplines, such as process engineering, strain and drug design, and material science, linked by covalent bonds in a hypothetical biological molecule. Images: © JarnoM, © Amelie Olivier, © teracreonte, © ermess, © by-studio, © Sergey Nivens, all from Fotolia.com.     

Biological Sciences Curriculum Study

In order to name an animal they see, children use their existing mental models to provide the animal with a name. In this study, pupils of a range of ages (4, 8, 11, and 14 years old) were presented with preserved specimens of six different animals and asked a series of questions about them. The results indicate that pupils of all ages mainly recognize and use anatomical features when naming the animals and explaining why they are what they are. However, older pupils are more likely to also use behavioural and habitat attributes. For both girls and boys, the home and direct observation are more important as sources of knowledge than school or books, although books seem more important for boys than for girls. As pupils age, their reasons for grouping animals become more complicated: in addition to relying on shared anatomical features, they begin to show evidence of an embedded taxonomic knowledge, knowing, for instance, what a mammal is and using this knowledge to group animals.     

Exploring the Relationship between the Engineering and Physical Sciences and the Health and Life Sciences by Advanced Bibliometric Methods

We investigate the extent to which advances in the health and life sciences (HLS) are dependent on research in the engineering and physical sciences (EPS), particularly physics, chemistry, mathematics, and engineering. The analysis combines two different bibliometric approaches. The first approach to analyze the ‘EPS-HLS interface’ is based on term map visualizations of HLS research fields. We consider 16 clinical fields and five life science fields. On the basis of expert judgment, EPS research in these fields is studied by identifying EPS-related terms in the term maps. In the second approach, a large-scale citation-based network analysis is applied to publications from all fields of science. We work with about 22,000 clusters of publications, each representing a topic in the scientific literature. Citation relations are used to identify topics at the EPS-HLS interface. The two approaches complement each other. The advantages of working with textual data compensate for the limitations of working with citation relations and the other way around. An important advantage of working with textual data is in the in-depth qualitative insights it provides. Working with citation relations, on the other hand, yields many relevant quantitative statistics. We find that EPS research contributes to HLS developments mainly in the following five ways: new materials and their properties; chemical methods for analysis and molecular synthesis; imaging of parts of the body as well as of biomaterial surfaces; medical engineering mainly related to imaging, radiation therapy, signal processing technology, and other medical instrumentation; mathematical and statistical methods for data analysis. In our analysis, about 10% of all EPS and HLS publications are classified as being at the EPS-HLS interface. This percentage has remained more or less constant during the past decade.