@emma_slayton@Crystalsafadi Ioana Oltean modelling Lower Danube and asking whether the river was a barrier or a route.
A bit up north Marek Vlach on nthe middle Danube. Modelling army logistics.
At a scale of one day per time step 😨 that's mega ambitious
The hlevel of detail 😱 super cool. Marek simulated and reconstructed every possible aspect of the middle Danube area during the Marcomannic wars. V cool!
Now Kira Lappe presenting their work on estimating the thickness of anthropogenic material in Vienna.
The correlation with the old city walls (no longer standing) and the roman Fort is just breathtaking.
We finish the day with @Archaeologue1 about reconstruction of roman roads.
@paudsoto wins the "most mentioned researcher" award today
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▶️ Practical, hands-on tutorials designed for not-computational folk.
▶️ Algorithmic zoo, with all the most common ways to model, well, everything.
▶️ GIS, Networks and Data Science chapters.
The goal was to get archaeologists from zero to hero in #ABM with the least effort required.
All chapter have been extensively tested on students, workshop goers and colleagues.
You can do it even if you're not particularly computational in your research!
Thread: there was a pretty impressive backlash against today's long read in the guardian about the idea that by studying large, long term trends in human history one may identify patterns in human societies. Patterns that may hold for the future. 1/
I'm highly enthusiastic about this idea (and especially the formal modelling element). In particular, I see it as a counterbalance against history as "one damn thing after another". I thought it may be interesting to debate some of the criticisms I saw today and in the past.
"The data is just not good enough". Sure its highly fragmented and biased in many ways. I'm not buying this one unless someone formally demonstrates it. Even with just one thermometer taking measurements once a week for a year you could show the existence of seasons in Europe.