The Black Swan Thinking Project - Session 3: Who Framed The Narrative Of Cock Robin?
Ruben R. Puentedura, Ph.D.
—
ConverSketch by Karina Branson
Graphic Summary by Karina Branson
My thanks to everyone who came to the third Black Swan Thinking Session. The recording of the session, and Karina Branson's superb graphic summary are linked above.
The first stage of the Black Swan Thinking Project has now come to a close, and I would like to thank everyone who has participated in the project to date, and shared thoughts, questions, and experiences. The second stage will begin early in 2021, and it will take the form of a hands-on intensive learning design studio, focusing on antifragility and challenges relevant to participants now - not in a hazy distant future. I'll have more to say about that design studio in the next blog post, but for now I would like to encourage anyone who would like to participate to catch up by reviewing the first and second Project sessions, as well as this third one. And make sure to get your hands (wings?) dirty by experimenting with the tools covered - as we'll see during the design studio stage, the intuitive understanding gained of systems dynamics, agents, and networks is essential to antifragile design.
Here are the links to the toolset and sample models discussed in the third session:
- Insight Maker: https://insightmaker.com
- Simple Disease Agent Spatial Avoidance Model: https://insightmaker.com/insight/210402/Simple-Disease-Agent-Spatial-Avoidance-Model
- NetLogo: https://ccl.northwestern.edu/netlogo/
- Virus on a Network: http://www.netlogoweb.org/launch#http://www.netlogoweb.org/assets/modelslib/Sample%20Models/Networks/Virus%20on%20a%20Network.nlogo
- visone: http://visone.ethz.ch
- Dining-Table Partners Dataset: http://vlado.fmf.uni-lj.si/pub/networks/data/esna/dining.htm
Finally, here are some additional resources on networks and network analysis:
- Sample Network Datasets - All datasets in Pajek format, readable by visone
- Brian V. Carolan, Social Network Analysis and Education: Theory, Methods & Applications
- Robert A. Hanneman and Mark Riddle, Introduction to social network methods