472 Matching Annotations
  1. May 2021
    1. Franceschini, C., Musetti, A., Zenesini, C., Palagini, L., Pelosi, A., Quattropani, M. C., Lenzo, V., Freda, M. F., Lemmo, D., Vegni, E., Borghi, L., Saita, E., Cattivelli, R., De Gennaro, L., Plazzi, G., Riemann, D., & Castelnuovo, G. (2020). Poor quality of sleep and its consequences on mental health during COVID-19 lockdown in Italy [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ah6j3

    1. Adjiwanou, V., Alam, N., Alkema, L., Asiki, G., Bawah, A., Béguy, D., Cetorelli, V., Dube, A., Feehan, D., Fisker, A. B., Gage, A., Garcia, J., Gerland, P., Guillot, M., Gupta, A., Haider, M. M., Helleringer, S., Jasseh, M., Kabudula, C., … You, D. (2020). Measuring excess mortality during the COVID-19 pandemic in low- and lower-middle income countries: The need for mobile phone surveys [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/4bu3q

  2. Apr 2021
    1. ReconfigBehSci. (2021, January 1). It is 13 months since the piece on ‘reconfiguring behavioural science’ for crisis knowledge management that led to https://t.co/pIBRAjupO3 What have we learned? What did the behavioural sciences get right? What went wrong? Join the discussion! 1/2 https://t.co/KZg3ugEg6J [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1385271556436283395

    1. Robson, S. G., Baum, M. A., Beaudry, J. L., Beitner, J., Brohmer, H., Chin, J., Jasko, K., Kouros, C., Laukkonen, R., Moreau, D., Searston, R. A., Slagter, H. A., Steffens, N. K., & Tangen, J. M. (2021). Nudging Open Science. PsyArXiv. https://doi.org/10.31234/osf.io/zn7vt

  3. Mar 2021
    1. Ghio, D., Lawes-Wickwar, S., Tang, M. Y., Epton, T., Howlett, N., Jenkinson, E., Stanescu, S., Westbrook, J., Kassianos, A., Watson, D., Sutherland, L., Stanulewicz, N., Guest, E., Scanlan, D., Carr, N., Chater, A., Hotham, S., Thorneloe, R., Armitage, C., … Keyworth, C. (2020). What influences people’s responses to public health messages for managing risks and preventing infectious diseases? A rapid systematic review of the evidence and recommendations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/nz7tr

  4. Feb 2021
  5. Jan 2021
  6. Dec 2020
  7. Nov 2020
    1. A standard example of a non-personalized nudge involves retirement planning. An employer could (i) leave it to employees to set-up their 401K plans and decide how much to save or (ii) set up the plans by default so that a predetermined amount is saved automatically and allow employees to make adjustments. Saving by default is an architected choice that relies on two facts: first, people often fail to set up a retirement plan, which is a social problem, and second, people tend to stick with default rules. Thus, by choosing option (ii), the choice architect nudges people to start with the better position for them and society.

      The non-personalized nudge

      An employer can choose to let their employee set up their own pensions plan or set them up with a default plan and allow them to change. The second scenario is an "architected choice" that relies on two phenomena:

      1. The fact people often fail to set up a retirement plan
      2. The tendency of people to stick with default rules

      The default plan is a non-personalized nudge which (supposedly) benefits the people as well as society.

      This reminds me of Michael Malice's idea of "the people that need leaders are not able to pick good ones".

  8. Oct 2020
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  12. Jun 2020