Social Complexity @Soc_Complexity
Exploring the complexity of our society (and its beauty!) Agent-based modeling | Computational Social Science | Social dynamics | Networks! Joined January 2020-
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How a dangerous stew of air pollution is choking the United States go.nature.com/3P7JSe3
Let me be clear: validating a model against multiple datasets or measures may actually invalidate it! This happens when a model uses psychometrics variables such as opinions, stubbornness or happiness (1/n)š§µ
Psychological measurements are not just complex, they can #reverse your research findings, produce entire new dynamics and even turn one #agentBasedModel into another one (with opposite #predictions!) š§µš
#ParticipatoryResilience #Hackathon. Coming up next week at @ETH. Here is a related paper: @cxdig sciencedirect.com/science/articl⦠#AirQuality #CrowdSensing #CitizenScience
As #ABMs become more relevant for #policymaking, we also want to study/validate them using #experiments. Here's some interesting insights!
As #ABMs become more relevant for #policymaking, we also want to study/validate them using #experiments. Here's some interesting insights!
Working with #ABM I have received a lot of sceptical comments (e.g."People are more complex than that") These are good points but they do not show that ABMs are useless; on the contrary: they show the importance of developing new models! ššš dinocarp.com/5-reasons-why-ā¦
To explore #SocialComplexity we should not just collapse attitudes into factors but analyze them also as a #system. Check out what we are able to observe with this approach: ššš psyarxiv.com/uzdcg
Some innocuous definition changes may completely alter your #model and/or the dynamic behaviour you #measure. Dynamic modelling in the #socialSciences may be tougher than expected! ššš dinocarp.com/definitions-caā¦
How do people change their opinions? Tomorrow I'll be presenting at #ssc2021 @EuroSocSim some experiments we run finding some new effects! We also built an #opiniondynamics model from the data just for fun. Join us, we have #darkmode presentations!
Very interesting talk on the differences and overlaps in the social sciences! yt6.pics.ee/3pathb
In models like #abm we model quantities like #opinions, happiness, etc. But how are they measured? And do these #measurements behave nicely as in physics? (e.g. can we easily convert one into another?) ššCheck out here šš dinocarp.com/when-and-why-yā¦
For getting a #MarieCurieFellowship you don't need to be in the 10% scientist, but you need your #application to be in the top 10%. Here are some tips and tricks for writing a great application Best of luck! youtu.be/Eqny84uD-gs
The type of data you collect and the way you process them are so important that they may completely change what you observe (in the social sciences). e.g. polarization may increase or decrease depending on how you measure it. doi.org/10.1093/poq/nfā¦
Tomorrow I'll present at #EUSN2021: (1) how measurements affect the dynamic behavior in #AgentBasedModeling and (2) a model of #OpinionDynamics we built from experiments with @PaulMaher10 @CaoimheOReill13 and @Quayle. #ABM
Here's the video of our presentation on network-based method for linking #attitudes to #identity (based on our sps2021 presentation) You know it's on youtube as there is your friendly arrow in the thumbnail! youtu.be/YwzZeBZ0rbc
Tomorrow I'll be presenting at #SPS2021 how we can extract information about #identity only from #attitudes using a #network-based method developed with @Adrian_Lueders and @Quayle. Join us, we got colourful images!
Putting human behavior predictability in context epjdatascience.springeropen.com/articles/10.11ā¦
Working with @Adrian_Lueders and @Quayle on a method for identifying attitudes are more important for a political party. red=members of that party are very likely to hold that attitude; blue=likely to avoid that attitude Data from @ESS_Survey
This evening I'll be discussing at #ISPP2021 how to map and explore the #attitudeSpace in different countries. Colorful graphs await you! (Mo.72)
Really fascinating way to make predictions even in chaotic systems. Maybe the next frontier for #abm?

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