“The Φ·SOE (Physics of Socio-Economic Systems Division) aims at the application and progression of physical methods for the analysis, modeling, simulation and optimization of socio-economic systems.” The Division is part of the German Physical Society (DPG). Their Spring Meeting was held this year in Regensburg, Germany from March 5-11, 2016.
This Symposium (SOE 22) was held on Thursday, March 10 from 9:30 a.m. – 12:15 p.m. Abstracts for their talks are included here:
Börner - Science Forecasts: Measuring, Predicting, and Communicating Scientific Developments
In a knowledge-based economy, science and technology are omnipresent and their importance is undisputed. Equally evident is the need to allocate resources, both monetary and human, in an effective way to foster innovation. In the preceding decades, data mining, metrics, and indicators have been embraced to gain insights into the structure and evolution of science; but there have been no significant efforts into mathematical, statistical, and computational models that can predict future developments in science, technology, and innovation (STI). While it may not be possible to predict the nature, essence, or the precise extent of impact of the next scientific or technological innovation, it is often possible to predict the circumstances leading to it, i.e., where it is most likely to happen and under which conditions. See Scharnhorst, Börner, and Besselaar, eds. 2012. Models of Science Dynamics: Encounters Between Complexity Theory and Information Science. Springer Verlag for an overview of major model types. This talk reviews and demonstrates the power of computational models for simulating and predicting possible STI developments and futures. In addition, it showcases novel means to broadcast moderated STI forecasts to make them accessible and understandable for a general audience.
Sugimoto - Modeling Scientific Networks in Social Media
This talk will examine the role of social media in constructing new or reinforcing old epistemic communities. In particular, we will analyze the interconnectivity of scientists on social media platforms according to their disciplinary affiliation and the degree to which these networks reinforce or contrast with models constructed through collaboration and citation relations. We will analyze the role of gender and other socio-demographic characteristics where possible.
Additionally, the complete Places & Spaces: Mapping Science (100 science maps – on all 20 posters – representing this 10 year project) was on exhibit.