***** To join INSNA, visit http://www.insna.org ***** Dear SOCNET readers,

the call for applications for the 2022 edition of the “Behave Spring School on Agent-Based Modeling for social scientists” is out now!

The school will be held online on 21-25 March, 2022.

The aim is to train students on ABM by replicating classic models in NetLogo. The course is ideally addressed to beginners but also more experts needing a refresh could benefit. The programme includes:

* Lectures + hands-on training with two virtual rooms in parallel for student assistance
* Some classic ABMs will be coded from scratch in NetLogo. No previous coding skills required during the first course.
* Assistance and customized counselling on personal research projects during the course with leading experts.
* Personal project presentations.

The faculty includes:

* Federico Bianchi (University of Milan, Italy)
* Simone Gabbriellini (University of Trento, Italy)
* Nicolas Payette (University of Oxford, United Kingdom)
* Flaminio Squazzoni (University of Milan, Italy, School director)

To apply to the school, please send your CV and a letter of presentation describing your project and motivation to [log in to unmask] by 21 February 2022. Approval will be notified by 1 March 2022, after which registrations will open.

See here for more information: http://behavelab.org/behave-summer-school/

Best regards,
Federico Bianchi

Behave Lab | Department of Social and Political Sciences | University of Milan, Italy | Skype: federicobianchi87 | Website: https://federico-bianchi.github.io/

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Latest publications:

Cousin, G., Bianchi, F., & Vitale, T. (2021). From Roma autochthonous homophily to socialization and community building in the Parisian metropolitan region shantytowns. Journal of Ethnic and Migration Studies47(13): 2938–2960. doi: 10.1080/1369183X.2020.1736993.

Farjam, M., Bianchi, F., Squazzoni, F., & Bravo, G. (2021). Dangerous liaisons: an online experiment on the role of scientific experts and politicians in ensuring public support for anti-COVID measures. Royal Society Open Science8(3): 201310. doi: 10.1098/rsos.201310.
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