Università Cattolica del Sacro Cuore
Università Cattolica del Sacro Cuore

Measurement at the Crossroads 2020

Call for papers

Conference description:

Measurement at the Crossroads 2020 is an interdisciplinary conference that explores the philosophy and history of measurement. It aims at consolidating and developing the study of these topics, following the conferences in Bielefeld (2013), Cambridge (2015), and Paris (2018).

The conference intends to promote the reflection on the foundations of measurement across the sciences from philosophical, historical, and sociological points of view. In particular, it will aim to gather scholars from different disciplines to study within diverse perspectives the role of modeling in measurement, the use of measurement in modeling, and the way of demarcating the scope of these activities. In fact, measuring and modeling are fundamental activities for understanding both natural and human domains: through measurements we aim at acquiring objective and intersubjective information about the world; through models we are able to understand complex systems and to predict their dynamics. Although crucially different as activities, measuring and modeling are profoundly intertwined. On the one hand, models are essential in order to select what is to be measured, to provide a sound interpretation of measurement results, and to assess their dependability. On the other hand, measurements are indispensable for determining the quality of models and their ability to capture their intended targets. In the last decades, a growing interest on the connections between measuring and modeling has arisen, from a better comprehension of measurement processes and how model simulations can be used to integrate measurement results, to the idea that the distinction between measurements and simulations is to be thought anew.

 

Topics:

The range of topics of interest includes but is not limited to:
 

1. Models in measurement

2. Model of measurement

3. Measurement and simulation

4. Measurement and Data Science


Important dates:


Submission Guidelines:

We invite submissions for 20 / 30 minute presentations, with 10 additional minutes for discussion. Please send a 1000-word abstract in PDF prepared for blind review. All abstracts should be submitted electronically using the EasyChair submission page here.