Dr. Andrea Scharnhorst
Royal Netherlands Academy of Arts and Sciences
Data Archives and Networked Services - DANS
e-humanities group
Dr. Andrea Scharnhorst is a Senior Research Fellow at the Royal Netherlands Academy of Arts and Sciences (Data Archives and Networked Services and e-humanities group). Her work focuses on modelling and simulating the emergence of innovations (new modes of behaviour and learning, forms of communication, technologies or scientific ideas) in social systems. Her work can be placed at the interface between physics, social sciences and humanities. Dr. Scharnhorst has developed a specific framework (GOE_THE, which stands for Geometrically Oriented Evolutionary THEories) to describe processes of problem solving and learning as an evolutionary search process in unknown knowledge landscapes.
I got a Diploma in Physics at the Humboldt-University Berlin, and obtained my PhD in Philosophy of Science with a thesis about philosophical problems related to the application of concepts and models from physics (self-organization theory) to better understand the devlopment of the science system. I worked as researcher at the Institute for the Theory, History and Organisation of Science (ITW) of the Academy of Sciences of the GDR. I was appointed at the Free University Berlin and at the Wissenschaftszentrum Berlin für Sozialforschung for a couple of years working on projects such as“Survival Conditions of New Technologies. Substitution and Hyperselection - an Evolutionary Approach” and “Self-Organisation and Stratification in the Science System - Agents Between Global and Local Patterns”.
I came to the Netherlands in 2001, working at the Royal Netherlands Academy of Arts and Sciences, first at the Netherlands Institute for Scientific Information Services (NIWI) at the Royal Netherlands Academy of Arts and Sciences (KNAW) in the research group “Networked Research and Digital Information” (NERDI) and later for the Virtual Knowledge Studio.
I published extensively about a wide variety of topics from science history, scientometrics to statistical physics. More recently, together with Andreas Pyka I edited a book on "Innovation Networks", and together with Katy Börner and Peter van den Besselaar a book on "Models of Science Dynamics", both with Springer, Complexity Series.
I'm interested to develop methods to map information spaces and to develop visual feedback when navigating through them. I'm also interested to better understand and describe the dynamics of these spaces, how they shape the way we acquire knowledge and how our knowledge production shapes them, and I would like analyze their dynamics. Concerning the last part, I'm interested in memory effects of information preservation, emergent structures and knowledge orders, and the visualization of career paths of academic researchers.


