[Commlist] Autumn School - Networks: An Interdisciplinary Perspective on Connectivity

Reminder: The application deadline is July 15th!

Autumn School - Networks: An Interdisciplinary Perspective on Connectivity

Date: 8th – 11th October 2024


Venue: Doblerstr. 33, 72074 Tübingen, Germany
Website: https://uni-tuebingen.de/de/263562

Organized by: Michael Herrmann (Tübingen Forum for Science and 
Humanities, University of Tübingen) and Dr. Helena Atteneder (Institute 
of Media Studies, University of Tübingen)

Human societies constantly change at many levels, from individuals to 
communities and nation states. Historically and at present societies 
have become more or less polarized, more or less cooperative, more or 
less integrated.
To understand and perhaps even predict these trends and their 
consequences, there is a complex interaction between the individual, the 
social and the structural. Network as a basic principle structuring 
society, as a metaphor for human interaction, is a relevant subject for 
various research disciplines, long before Castells developed the 
"network society" as a relevant label for a certain form of social 
organisation.

Complex networks – ranging from the Internet to different (online) 
social networks – influence our lives. From communication networks, 
social networks, biological systems, neural networks, to technological 
networks such as the internet: many of these networks are similar in the 
sense that they share basic properties.
It is thus important to understand these real-world networks themselves 
and the factors which influence its dynamics. Computer-intensive 
mathematical modelling approaches quantify and infer potential 
regularities and patterns in order to uncover a correspondence to the 
real world target system.

How can we use networks as a tool for both theoretical and empirical 
investigations?

Questions we raise:
1) What are suitable application areas?
2) How can graphs/dynamical systems/agent-based models/visualization 
methods be used as a tool to understand (unexpected) collective behavior?
3) To what extent do the formal properties of (computational) networks 
influence the emergence of biases (and inequality)?
4) What social implications can arise from the application of a 
commercialized network logic and how can these be critically analyzed?
5) What are the challenges involved and what are the methodological 
limitations?


Invited Speakers (confirmed):
Luis F. Alvarez Léon, Geography, Darthmouth College, USA
Fariba Karimi, Computational Social Science, Graz University of 
Technology, Austria
Daniel Kostic, Philosophy, Leiden University, Netherlands
Melanie Nagel, Political Science, University of Tübingen, Germany
Joan Ramon Rodriguez-Amat, Media and Communication Science, Sheffield 
Hallam University, UK,

Poster/Presentation sessions for participants
During the Autumn School there will be two 90 min slots for 
poster/presentation sessions. In addition to the presentations by our 
invited speakers and intensive workshop sessions, participants will have 
the opportunity to present their own research here and receive valuable 
feedback. Participants can present and discuss their current research 
projects (dissertations, projects, paper drafts, etc.) that should be 
thematically connected to the overall topic of the Autumn School. Please 
indicate in your application whether you wish to present and, if 
applicable, submit an abstract (max. 300 words, excluding literature). 
The selection of contributions will be made by the program committee.

Application & Deadlines
The Call for Applications is distributed internationally. We welcome 
submissions from master students, PhD students and early career 
researchers from all disciplines. Please submit the following
● Your CV
● A short motivation letter (half to one page)
● An abstract of max. 300 words (exc. literature) in case you want to 
present in the poster/presentation session
to: (info /at/ tfw.uni-tuebingen.de) <mailto:(info /at/ tfw.uni-tuebingen.de)>
Deadline: July 15th, 2024
Applicants will be notified latest by July 31st, 2024. If you have any 
questions, please contact (info /at/ tfw.uni-tuebingen.de)


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