National identity predicts public health support during a global pandemic� �

Jay J. Van Bavel, Alexandra Chichoka, Valerio Capraro, Hallgeir Sjastad, John B. Nezlek, …, Paulo S. Boggio

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Nature Communications

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CISEPS workshop on Covid and Behavior

26^th april 2022

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¹Middlesex University, London

Fighting COVID-19 requires major �behavioral changes

Spatial distancing

Physical hygiene

Mask wearing

Vaccine uptake

The International Collaboration on �Social and Moral Psychology

GOAL

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To bring together scholars from around the globe to examine psychological factors underlying the attitudes and behavioral intentions related to COVID19

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Organizers

Mark Alfano

Paulo Boggio

Valerio Capraro

Aleksandra Cichocka

Hallgeir Sjåstad

Jay Van Bavel

The Survey

Public launch of the project (April 2020)

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• Via social networks and private emails to collaborators around the world

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• Interested people were supposed to join the project not as individuals, but as National Teams

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• Over 250 scholars from 69 countries and territories from all continents but Antarctica joined the project

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Van Bavel, Cichocka, Capraro, Sjåstad, Nezlek, …, Boggio. (2022). Nature Communications.

National identity predicts all measures of pandemic response, beyond political orientation (which mainly has a negative effect) and beyond national narcissism (that has inconsistent effect).

Van Bavel, Cichocka, Capraro, Sjåstad, Nezlek, …, Boggio. (2022). Nature Communications.

Study 2

National identity obtained using the World Value Survey predicts actual reduction in mobility during the pandemic, as measured using Google Community Mobility Reports

Second paper of the Collaboration

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

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Tomislav et al. (2022). In press at PNAS Nexus.

Internalized moral identity – the extent to which being moral is important to one’s self concept - is the most consistent predictor overall

Thanks for your attention!

Valerio Capraro

v.capraro@mdx.ac.uk

References

Van Bavel, J. J., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., ... & Willer, R. (2020). Using social and behavioural science to support COVID-19 pandemic response. Nature Human Behaviour, 4, 460-471.

Van Bavel, J. J., Cichocka, A., Capraro, V., Sjåstad, H., Nezlek, J. B., ... & Boggio, P. B. (2022). National identity predicts public health support during a global pandemic. Nature Communications, 13, 517.

Pavlovic, T., et al. (forthcoming) Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning. PNAS Nexus.