30. Maria del-Rio Chaona - CSH Vienna: Harvesting social networks for agent based modelling using NLP - podcast episode cover

30. Maria del-Rio Chaona - CSH Vienna: Harvesting social networks for agent based modelling using NLP

Nov 02, 202250 minSeason 2Ep. 30
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Episode description

# Summary

Today on the show we will be talking about agent based modelling that is used to simulate macro economical systems, like the British labour market. For this I am talking to Maria del Rio Chanona currently doing her PhD at the Complexity Science Hub Vienna.

Maria will not only tell us about ways to use agent based modelling to simulate the effect of policy changes or external events like the pandamic on complex systems like the labour market, but during our deep dive, she will talk about her most recent work that focuses on using NLP to tab new sources of fine grain data on an individual level, like social media that can be used feed the next generation of agent based models.


# References

[https://www.csh.ac.at/researcher/maria-del_rio-chanona/](https://www.csh.ac.at/researcher/maria-del_rio-chanona/)

[https://mariadelriochanona.info/](https://mariadelriochanona.info/)

Forecasting the propagation of pandemic shocks with a dynamic input-output model [https://www.sciencedirect.com/science/article/pii/S0165188922002317](https://www.sciencedirect.com/science/article/pii/S0165188922002317)

Occupational mobility and automation: a data-driven network model [https://royalsocietypublishing.org/doi/full/10.1098/rsif.2020.0898](https://royalsocietypublishing.org/doi/full/10.1098/rsif.2020.0898)

Mental health concerns prelude the Great Resignation: Evidence from Social Media [https://arxiv.org/abs/2208.07926](https://arxiv.org/abs/2208.07926)

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