A pragmatic approach to the ontology of models

What are scientific models? Philosophers of science have been trying to answer this question during the last three decades by putting forward a number of different proposals. Some say that models are best understood as abstract Platonic objects or fictional entities akin to Sherlock Holmes, while others focus on their mathematical nature and see them as set theoretical structures. Although each account has its own strengths in offering various insights on the nature of models, several objections have been raised against these views which still remain unanswered, making the debate on the ontology of models seem unresolvable. The primary aim of this paper is to show that a large part of these difficulties stems from an inappropriate reading of the main question on the ontology of models as a purely metaphysical question. Building on Carnap, it is argued that the question of the ontology of scientific models is either (i) an internal theoretical question within an already accepted linguistic framework or (ii) an external practical question regarding the choice of the most appropriate form of language in order to describe and explain the practice of scientific modelling. The main implication of this view is that the question of the ontology of models becomes a means of probing other related questions regarding the overall practice of scientific modelling, such as questions on the capacity of models to provide knowledge and the relation of models with background theories.

A COMPARISON OF A VIRTUAL LAB AND A MICROCOMPUTER-BASED LAB FOR SCIENTIFIC MODELLING BY COLLEGE STUDENTS

This research aimed to explore the effects of a virtual lab (VL) and a Microcomputer-based Lab (MBL) on students’ performance in scientific modeling. A web-based virtual lab and a low-cost MBL were proposed to help first-year engineering students build scientific models. Empirical research was done in a slope motion experiment. The participants were 118 first-year engineering students in Taiwan, and they were divided into a VL group and an MBL group. From the results of the questionnaire, these groups of students thought that the systems were usable and easy to use, and they expressed positive attitudes towards the labs. The post-test’s average score was higher than that of the pre-test for both groups, and the average posttest score of the VL group was better than that of the MBL group. From the students’ learning sheets, many students successfully manipulated the experimental variables and built correct models after gradual revision of earlier models. According to the results of the empirical research, these systems helped the students understand the meaning of the experiment and increased students' interests with hands-on labs. A comparison of the results of these two groups\suggests the integration of VL and MBL to facilitate students’ learning. Keywords: experimental design, MBL, scientific modelling, slope motion, virtual lab.

Populating the Climate

This paper asks whether one way to link abstract scientific knowledge about the climate to the everyday imagination might be to think of climate modelling as a narrative practice. To do so, I draw on philosophical insights about narrative in scientific modelling from Norton Wise and Mary Morgan, to show that models can be deployed narratively, and that their outputs take a followable, embodied narrative form. This suggests that climate models might be deployed in an everyday storytelling practice evoking storyworlds with palpable meteorological actants.

The regime against money laundering: a call for scientific modelling

PurposeThe purpose of this paper is to examine the magnitude of the global problem of money laundering and the scholarly critics of money laundering concept. The paper further explores the scientific modelling to combat money laundering transactions.Design/methodology/approachThe research methodology adopted was qualitative analysis. This was applied through the use and analysis of documents and expert interviews.FindingsThe paper reveals how the global displacement on the fight against money laundering is being determined by “attractiveness index”. This attractiveness index is the dark side affecting anti-money laundering (AML) concept within developing economies. The critics of the AML accounts for major discrepancies associated with the context of the term AML regimes and international standards to combat illicit financial flows.Social implicationsThe regimes against money laundering compel countries to adopt the same recommendations and standards and were not given opportunity to proffer their own creative alternatives within their own circumstances.Originality/valueThe paper suggests AML Transaction Validation Model in the quest to combat illicit financial flows originated from organized and serious crime within the global jurisdictions.