- Last 7 days
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ayjay.org ayjay.org
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To the extentthat people accommodate themselves to the faceless inflexibility ofplatforms, they will become less and less capable of seeing thevirtues of institutions, on any scale. One consequence of thataccommodation will be an increasing impatience withrepresentative democracy, and an accompanying desire to replacepolitical institutions with platform-based decision making:referendums and plebiscites, conducted at as high a level as possible(national, or in the case of the European Union, transnational).Among other things, these trends will bring, in turn, theexploitation of communities and natural resources by people whowill never see or know anything about what they are exploiting. !escope of local action will therefore be diminished, and will comeunder increasing threat of what we might call, borrowing a phrasefrom Einstein, spooky action at a distance.
This fits in line with my thesis to make corporations and especially corporate executives and owners be local, so that they can see the effect that their decisions are having.
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- Jul 2021
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psyarxiv.com psyarxiv.com
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Williams, W. C., Haque, E., Mai, B., & Venkatraman, V. (2021). Face masks influence how facial expressions are perceived: A drift-diffusion model of emotion judgments. PsyArXiv. https://doi.org/10.31234/osf.io/a8yxf
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van der Plas, E., Mason, D., Livingston, L. A., Craigie, J., Happé, F., & Fleming, S. M. (2021). Computations of confidence are modulated by mentalizing ability [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/c4pzj
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- Jun 2021
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asaobinoue.blogspot.com asaobinoue.blogspot.com
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your goal cannot be to follow orders in order to get a higher grade, instead you are free to listen, consider things, ignore ideas, or ask more honest questions of your readers. You are now free to make your own decisions on your writing.
Labor-based grading in writing allows students to listen and adjust to comments which gives them greater freedom and autonomy in both their learning process as well as their writing.
Ideally, in a system like this, a shorter feedback loop of commentary and readjustment may also help to more carefully hone their skills versus potentially hitting a plateau after which it's more difficult to improve.
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www.medrxiv.org www.medrxiv.org
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V Shah, A. S., Gribben, C., Bishop, J., Hanlon, P., Caldwell, D., Wood, R., Reid, M., McMenamin, J., Goldberg, D., Stockton, D., Hutchinson, S., Robertson, C., McKeigue, P. M., Colhoun, H. M., & McAllister, D. A. (2021). Effect of vaccination on transmission of COVID-19: An observational study in healthcare workers and their households [Preprint]. Public and Global Health. https://doi.org/10.1101/2021.03.11.21253275
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psyarxiv.com psyarxiv.com
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Mielicki, M., Fitzsimmons, C., Schiller, L., Scheibe, D., Taber, J. M., Sidney, P., Matthews, P. G., Waters, E. A., Coifman, K., & Thompson, C. A. (2021). Adults’ Health-Related Problem Solving Is Facilitated by Number Lines, But Not Risk Ladders and Icon Arrays. PsyArXiv. https://doi.org/10.31234/osf.io/h3stw
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www.economist.com www.economist.com
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better “decision hygiene” such as designating an observer for group decisions, to prevent common biases and noisy judgments. For example, they can ensure that participants in a team reach independent assessments before coming together as a group to aggregate their decisions.
Approaches for decreasing noise in decision making
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- May 2021
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www.thelancet.com www.thelancet.com
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Morgan, O. W., Aguilera, X., Ammon, A., Amuasi, J., Fall, I. S., Frieden, T., Heymann, D., Ihekweazu, C., Jeong, E., Leung, G. M., Mahon, B., Nkengasong, J., Qamar, F. N., Schuchat, A., Wieler, L. H., & Dowell, S. F. (2021). Disease surveillance for the COVID-19 era: Time for bold changes. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(21)01096-5
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psyarxiv.com psyarxiv.com
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Agarwal, A. (2021). The Accidental Checkmate: Understanding the Intent behind sharing Misinformation on Social Media. PsyArXiv. https://doi.org/10.31234/osf.io/kwu58
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80000hours.org 80000hours.org
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Career decision making involves so much uncertainty that it’s easy to feel paralysed. Instead, make some hypotheses about which option is best, then identify key uncertainties: what information would most change your best guess?
We tend to think that uncertainties can't be weighted in our decision-making, but we bet on uncertainties all the time. Rather than throw your hands up and say, "I don't have enough information to make a call", how can we think deliberately about what information would reduce the uncertainty?
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psyarxiv.com psyarxiv.com
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Zhao, W. J., Coady, A., & Bhatia, S. (2021). Computational mechanisms for context-based behavioral interventions: A large-scale analysis. PsyArXiv. https://doi.org/10.31234/osf.io/8cyad
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Jama, A., Ali, M., Lindstrand, A., Butler, R., & Kulane, A. (2018). Perspectives on the Measles, Mumps and Rubella Vaccination among Somali Mothers in Stockholm. International Journal of Environmental Research and Public Health, 15(11). https://doi.org/10.3390/ijerph15112428
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Gagne, Christopher, and Peter Dayan. ‘Peril, Prudence and Planning as Risk, Avoidance and Worry’. PsyArXiv, 11 May 2021. https://doi.org/10.31234/osf.io/tcn7e.
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Gagneur, A. (2020). Motivational interviewing: A powerful tool to address vaccine hesitancy. Canada Communicable Disease Report, 46(4), 93–97. https://doi.org/10.14745/ccdr.v46i04a06
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pediatrics.aappublications.org pediatrics.aappublications.org
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Zhou, F., Shefer, A., Wenger, J., Messonnier, M., Wang, L. Y., Lopez, A., Moore, M., Murphy, T. V., Cortese, M., & Rodewald, L. (2014). Economic Evaluation of the Routine Childhood Immunization Program in the United States, 2009. Pediatrics, 133(4), 577–585. https://doi.org/10.1542/peds.2013-0698
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rs-delve.github.io rs-delve.github.io
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Initiative, T. D. (2020). SARS-CoV-2 Vaccine Development & Implementation; Scenarios, Options, Key Decisions. https://rs-delve.github.io/reports/2020/10/01/covid19-vaccination-report.html
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www.thelancet.com www.thelancet.com
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Bielicki, J. A., Duval, X., Gobat, N., Goossens, H., Koopmans, M., Tacconelli, E., & Werf, S. van der. (2020). Monitoring approaches for health-care workers during the COVID-19 pandemic. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30458-8
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psyarxiv.com psyarxiv.com
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Bedder, R., Vaghi, M., Dolan, R., & Rutledge, R. (2020). Risk taking for potential losses but not gains increases with time of day. PsyArXiv. https://doi.org/10.31234/osf.io/3qdnx
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- Apr 2021
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www.tandfonline.com www.tandfonline.com
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Dannetun, E., Tegnell, A., Hermansson, G., & Giesecke, J. (2005). Parents’ reported reasons for avoiding MMR vaccination. Scandinavian Journal of Primary Health Care, 23(3), 149–153. https://doi.org/10.1080/02813430510031306
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www.sciencedirect.com www.sciencedirect.com
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Jacobson, R. M., Targonski, P. V., & Poland, G. A. (2007). A taxonomy of reasoning flaws in the anti-vaccine movement. Vaccine, 25(16), 3146–3152. https://doi.org/10.1016/j.vaccine.2007.01.046
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Białek, M., & Grossmann, I. (2021). Social bias insights concern judgments rather than real-world decisions. PsyArXiv. https://doi.org/10.31234/osf.io/y3h7n
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psyarxiv.com psyarxiv.com
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Civai, C., Caserotti, M., Carrus, E., Huijsmans, I., & Rubaltelli, E. (2021). Perceived scarcity and cooperation contextualized to the COVID-19 pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/zu2a3
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- Mar 2021
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www.sciencedirect.com www.sciencedirect.com
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Fabry, P., Gagneur, A., & Pasquier, J.-C. (2011). Determinants of A (H1N1) vaccination: Cross-sectional study in a population of pregnant women in Quebec. Vaccine, 29(9), 1824–1829. https://doi.org/10.1016/j.vaccine.2010.12.109
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www.sciencedirect.com www.sciencedirect.com
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Qian, M., Chou, S.-Y., & Lai, E. K. (2020). Confirmatory bias in health decisions: Evidence from the MMR-autism controversy. Journal of Health Economics, 70, 102284. https://doi.org/10.1016/j.jhealeco.2019.102284
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www.tandfonline.com www.tandfonline.com
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Meleo-Erwin, Z., Basch, C., MacLean, S. A., Scheibner, C., & Cadorett, V. (2017). “To each his own”: Discussions of vaccine decision-making in top parenting blogs. Human Vaccines & Immunotherapeutics, 13(8), 1895–1901. https://doi.org/10.1080/21645515.2017.1321182
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psyarxiv.com psyarxiv.com
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Ryan, W., Baum, S., & Evers, E. (2021). People Behave as if they Anticipate Regret Conditional on Experiencing a Bad Outcome. PsyArXiv. https://doi.org/10.31234/osf.io/dcgpy
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www-sciencedirect.ez29.periodicos.capes.gov.br www-sciencedirect.ez29.periodicos.capes.gov.br
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Larson, H. J., Cooper, L. Z., Eskola, J., Katz, S. L., & Ratzan, S. (2011). Addressing the vaccine confidence gap. The Lancet, 378(9790), 526–535. https://doi.org/10.1016/S0140-6736(11)60678-8
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www.sciencedirect.com www.sciencedirect.com
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Brown, K. F., Kroll, J. S., Hudson, M. J., Ramsay, M., Green, J., Long, S. J., Vincent, C. A., Fraser, G., & Sevdalis, N. (2010). Factors underlying parental decisions about combination childhood vaccinations including MMR: A systematic review. Vaccine, 28(26), 4235–4248. https://doi.org/10.1016/j.vaccine.2010.04.052
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Dubé, E., Laberge, C., Guay, M., Bramadat, P., Roy, R., & Bettinger, J. A. (2013). Vaccine hesitancy. Human Vaccines & Immunotherapeutics, 9(8), 1763–1773. https://doi.org/10.4161/hv.24657
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psyarxiv.com psyarxiv.com
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Levy, N. L., & Ross, R. M. (2020). The cognitive science of fake news [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/3nuzj
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pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
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Chapman, G. B., & Coups, E. J. (2006). Emotions and preventive health behavior: Worry, regret, and influenza vaccination. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 25(1), 82–90. https://doi.org/10.1037/0278-6133.25.1.82
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bmcpublichealth.biomedcentral.com bmcpublichealth.biomedcentral.com
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Myers, L. B., & Goodwin, R. (2011). Determinants of adults’ intention to vaccinate against pandemic swine flu. BMC Public Health, 11(1), 15. https://doi.org/10.1186/1471-2458-11-15
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Oraby, T., Thampi, V., & Bauch, C. T. (2014). The influence of social norms on the dynamics of vaccinating behaviour for paediatric infectious diseases. Proceedings of the Royal Society B: Biological Sciences, 281(1780). https://doi.org/10.1098/rspb.2013.3172
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arxiv.org arxiv.org
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Baker, C. M., Campbell, P. T., Chades, I., Dean, A. J., Hester, S. M., Holden, M. H., McCaw, J. M., McVernon, J., Moss, R., Shearer, F. M., & Possingham, H. P. (2020). From climate change to pandemics: Decision science can help scientists have impact. ArXiv:2007.13261 [Physics]. http://arxiv.org/abs/2007.13261
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science.sciencemag.org science.sciencemag.org
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Dehning, J., Zierenberg, J., Spitzner, F. P., Wibral, M., Neto, J. P., Wilczek, M., & Priesemann, V. (2020). Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science. https://doi.org/10.1126/science.abb9789
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Traczyk, J., Fulawka, K., Lenda, D., & Zaleskiewicz, T. (n.d.). Consistency in probability processing as a function of affective context and numeracy. Journal of Behavioral Decision Making, n/a(n/a). https://doi.org/10.1002/bdm.2206
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www.biorxiv.org www.biorxiv.org
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Bertana, A., Chetverikov, A., Bergen, R. S. van, Ling, S., & Jehee, J. F. M. (2020). Dual strategies in human confidence judgments. BioRxiv, 2020.09.17.299743. https://doi.org/10.1101/2020.09.17.299743
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sloanreview.mit.edu sloanreview.mit.edu
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McLaughlin, A. L. and P. (n.d.). New Leadership Challenges for the Virtual World of Work. MIT Sloan Management Review. Retrieved June 5, 2020, from https://sloanreview.mit.edu/article/new-leadership-challenges-for-the-virtual-world-of-work/
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www.today.com www.today.com
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Can self-nudging help you make better choices? (n.d.). TODAY.Com. Retrieved June 20, 2020, from https://www.today.com/health/what-self-nudging-simple-trick-make-healthier-choices-t184571
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www.sciencedirect.com www.sciencedirect.com
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Rahnev, D. (2020). Confidence in the Real World. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2020.05.005
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www.nature.com www.nature.com
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Gesser-Edelsburg, A., Diamant, A., Hijazi, R., & Mesch, G. S. (2018). Correcting misinformation by health organizations during measles outbreaks: A controlled experiment. PLOS ONE, 13(12), e0209505. https://doi.org/10.1371/journal.pone.0209505
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Reiter, P. L., McRee, A.-L., Pepper, J. K., & Brewer, N. T. (2012). Default Policies and Parents’ Consent for School-Located HPV Vaccination. Journal of Behavioral Medicine, 35(6), 651–657. https://doi.org/10.1007/s10865-012-9397-1
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www.sciencedirect.com www.sciencedirect.com
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MacDonald, N. E. (2015). Vaccine hesitancy: Definition, scope and determinants. Vaccine, 33(34), 4161–4164. https://doi.org/10.1016/j.vaccine.2015.04.036
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Downs, J. S., de Bruin, W. B., & Fischhoff, B. (2008). Parents’ vaccination comprehension and decisions. Vaccine, 26(12), 1595–1607. https://doi.org/10.1016/j.vaccine.2008.01.011
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Sencer, D. J., & Millar, J. D. (2006). Reflections on the 1976 Swine Flu Vaccination Program. Emerging Infectious Diseases, 12(1), 29–33. https://doi.org/10.3201/eid1201.051007
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pediatrics.aappublications.org pediatrics.aappublications.org
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Brunson, E. K. (2013). The Impact of Social Networks on Parents’ Vaccination Decisions. Pediatrics, 131(5), e1397–e1404. https://doi.org/10.1542/peds.2012-2452
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Sherman, S. M., Smith, L. E., Sim, J., Amlôt, R., Cutts, M., Dasch, H., Rubin, G. J., & Sevdalis, N. (2020). COVID-19 vaccination intention in the UK: Results from the COVID-19 vaccination acceptability study (CoVAccS), a nationally representative cross-sectional survey. Human Vaccines & Immunotherapeutics, 0(0), 1–10. https://doi.org/10.1080/21645515.2020.1846397
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link.springer.com link.springer.com
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Giubilini, A., Caviola, L., Maslen, H., Douglas, T., Nussberger, A.-M., Faber, N., Vanderslott, S., Loving, S., Harrison, M., & Savulescu, J. (2019). Nudging Immunity: The Case for Vaccinating Children in School and Day Care by Default. HEC Forum, 31(4), 325–344. https://doi.org/10.1007/s10730-019-09383-7
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twitter.com twitter.com
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ReconfigBehSci on Twitter. (n.d.). Twitter. Retrieved 3 March 2021, from https://twitter.com/SciBeh/status/1351453660396605440
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psyarxiv.com psyarxiv.com
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Epstein, Z., Berinsky, A., Cole, R., Gully, A., Pennycook, G., & Rand, D. (2021). Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online. PsyArXiv. https://doi.org/10.31234/osf.io/sjfbn
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journals.plos.org journals.plos.org
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Pariente, Nonia, and on behalf of the PLOS Biology Staff Editors. ‘We Need Leaders That Believe in Scientific Evidence’. PLOS Biology 18, no. 10 (22 October 2020): e3000992. https://doi.org/10.1371/journal.pbio.3000992.
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content.iospress.com content.iospress.com
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Kaiser, K. A., Chodacki, J., Habermann, T., Kemp, J., Paglione, L., Urberg, M., & Scott Plutchak, T. (2020). Metadata: The accelerant we need. Information Services & Use, 40(3), 181–191. https://doi.org/10.3233/ISU-200094
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www.bmj.com www.bmj.com
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Increasing the impact of health research through co-production of knowledge | The BMJ. (n.d.). Retrieved 16 February 2021, from https://www.bmj.com/co-producing-knowledge?utm_source=twitter&utm_medium=social&utm_term=hootsuite&utm_content=sme&utm_campaign=usage
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twitter.com twitter.com
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ReconfigBehSci on Twitter. (n.d.). Twitter. Retrieved 3 March 2021, from https://twitter.com/SciBeh/status/1351454186811117568
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- Feb 2021
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But so far everything brought up has just been about the relative advantages of checked exceptions, and that issue is closed. We won't do it.
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github.com github.com
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While Trailblazer offers you abstraction layers for all aspects of Ruby On Rails, it does not missionize you. Wherever you want, you may fall back to the "Rails Way" with fat models, monolithic controllers, global helpers, etc. This is not a bad thing, but allows you to step-wise introduce Trailblazer's encapsulation in your app without having to rewrite it.
Tags
- newer/better ways of doing things
- leaving the details of implementation/integration up to you
- making changes / switching/migrating gradually/incrementally/step-wise/iteratively
- rails: the Rails way
- focus on concepts/design/structure instead of specific/concrete technology/implementation
- freedom of user to override specific decision of an authority/vendor (software)
- focus on what it should do, not on how it should do it (implementation details; software design)
- abstractions
- allowing developer/user to pick and choose which pieces to use (allowing use with competing libraries; not being too opinionated; not forcing recommended way on you)
- Trailblazer
Annotators
URL
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www.imperial.ac.uk www.imperial.ac.uk
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Imperial News. “Staff ‘need Clearer Guidance’ as COVID Overwhelms ICUs | Imperial News | Imperial College London.” Accessed February 19, 2021. https://www.imperial.ac.uk/news/212833/staff-need-clearer-guidance-covid-overwhelms/.
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psyarxiv.com psyarxiv.com
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Newall, P. W. S., Walasek, L., & Ludvig, E. A. (2020, November 11). Risk communication improvements for gambling: House-edge information and volatility statements. https://doi.org/10.1037/adb0000695
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psyarxiv.com psyarxiv.com
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Byrne, K. A., Six, S. G., Ghaiumy Anaraky, R., Harris, M. W., & Winterlind, E. L. (2020, November 5). Risk-Taking Unmasked: Using Risky Choice and Temporal Discounting to Explain COVID-19 Preventative Behaviors. https://doi.org/10.31234/osf.io/uaqc2
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medium.com medium.com
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Say, for instance, a hypothetical self-driving car is sold as being the safest on the market. One of the factors that makes it safer is that it “knows” when a big truck pulls up along its left side and automatically moves itself three inches to the right while still remaining in its own lane. But what if a cyclist or motorcycle happens to be pulling up on the right at the same time and is thus killed because of this safety feature?
I think that an algorithm that's "smart" enough to move away from a truck is also "smart" enough to know that it cannot physically occupy the same space as the motorcycle.
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- Jan 2021
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psyarxiv.com psyarxiv.com
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Singh, M., Richie, R., & Bhatia, S. (2020, October 7). Representing and Predicting Everyday Behavior. https://doi.org/10.31234/osf.io/kb53h
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knowledge.wharton.upenn.edu knowledge.wharton.upenn.edu
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Day. G., Shea. G., (2020). COVID-19: 3 ways businesses can find growth opportunities during the crisis. World Economic Forum. Retrieved from https://www.weforum.org/agenda/2020/06/innovation-rethink-wharton-covid19-coronavirus
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discourse.ubuntu.com discourse.ubuntu.com
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Only folks who help package Chromium get to decide how Chromium gets packaged. This gives anyone two options: You can get involved and help package Chromium so you have a voice in the decision-making, or not.
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- Dec 2020
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psycnet.apa.org psycnet.apa.org
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Jarecki, J. B., & Wilke, A. (2018). Into the black box: Tracing information about risks related to 10 evolutionary problems. Evolutionary Behavioral Sciences, 12(3), 230–244. Retrieved from: https://psycnet.apa.org/doiLanding?doi=10.1037%2Febs0000123
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- Oct 2020
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www.mdpi.com www.mdpi.com
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Brous, P., & Janssen, M. (2020). Trusted Decision-Making: Data Governance for Creating Trust in Data Science Decision Outcomes. Administrative Sciences, 10(4), 81. https://doi.org/10.3390/admsci10040081
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Maia, H. P., Ferreira, S. C., & Martins, M. L. (2020). Adaptive network approach for emergence of societal bubbles. ArXiv:2010.08635 [Nlin, Physics:Physics]. http://arxiv.org/abs/2010.08635
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erj.ersjournals.com erj.ersjournals.com
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Martin, G. P., Sperrin, M., & Sotgiu, G. (2020). Performance of Prediction Models for Covid-19: The Caudine Forks of the External Validation. European Respiratory Journal. https://doi.org/10.1183/13993003.03728-2020
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www.nature.com www.nature.com
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IJzerman, H., Lewis, N. A., Przybylski, A. K., Weinstein, N., DeBruine, L., Ritchie, S. J., Vazire, S., Forscher, P. S., Morey, R. D., Ivory, J. D., & Anvari, F. (2020). Use caution when applying behavioural science to policy. Nature Human Behaviour, 1–3. https://doi.org/10.1038/s41562-020-00990-w
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academic.oup.com academic.oup.com
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Abbott, K. R., & Sherratt, T. N. (2013). Optimal sampling and signal detection: Unifying models of attention and speed–accuracy trade-offs. Behavioral Ecology, 24(3), 605–616. https://doi.org/10.1093/beheco/art001
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www.hope-project.dk www.hope-project.dkApp1
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The HOPE-project (http://hope-project.dk ) tracks public opinion during #covid19, sharing findings with the public & authorities. This graph is the most concerning yet: The # willing to use an approved COVID-vaccine recommended for them
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www.psychologs.com www.psychologs.com
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Covid-19: Is Behavioural Science The Key To Handle The Pandemic? (n.d.). Retrieved October 10, 2020, from https://www.psychologs.com/article/covid-19-is-behavioral-science-the-key-to-handle-the-pandemic
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Local file Local file
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when we are given the space to consider our decisions, we tend to make fewer errors.
think about examples where this isn't the case like high-pressure car buying
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twitter.com twitter.com
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ReconfigBehSci on Twitter. (n.d.). Twitter. Retrieved October 9, 2020, from https://twitter.com/SciBeh/status/1314493024072863744
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www.nature.com www.nature.com
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Grimm, V., Johnston, A. S. A., Thulke, H.-H., Forbes, V. E., & Thorbek, P. (2020). Three questions to ask before using model outputs for decision support. Nature Communications, 11(1), 4959. https://doi.org/10.1038/s41467-020-17785-2
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www.pnas.org www.pnas.org
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Karatayev, Vadim A., Madhur Anand, and Chris T. Bauch. ‘Local Lockdowns Outperform Global Lockdown on the Far Side of the COVID-19 Epidemic Curve’. Proceedings of the National Academy of Sciences 117, no. 39 (29 September 2020): 24575–80. https://doi.org/10.1073/pnas.2014385117.
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www.medrxiv.org www.medrxiv.org
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Kaplan, Edward H, Dennis Wang, Mike Wang, Amyn A Malik, Alessandro Zulli, and Jordan H Peccia. ‘Aligning SARS-CoV-2 Indicators via an Epidemic Model: Application to Hospital Admissions and RNA Detection in Sewage Sludge’. Preprint. Infectious Diseases (except HIV/AIDS), 29 June 2020. https://doi.org/10.1101/2020.06.27.20141739.
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- Sep 2020
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www.youtube.com www.youtube.com
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Learning lessons before launching an inquiry—IfG LIVE 2020 Labour Fringe Programme—YouTube. (n.d.). Retrieved September 29, 2020, from https://www.youtube.com/watch?v=cCZl-naQ6UM
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psyarxiv.com psyarxiv.com
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Fareri, Dominic S., Joanne Stasiak, and Peter Sokol-Hessner. ‘Choosing for Another: Social Context Changes Dissociable Computational Mechanisms of Risky Decision-Making’, 21 September 2020. https://doi.org/10.31234/osf.io/dr42a.
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www.scientificamerican.com www.scientificamerican.com
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Hotz, J. (n.d.). Can an Algorithm Help Solve Political Paralysis? Scientific American. Retrieved September 21, 2020, from https://www.scientificamerican.com/article/can-an-algorithm-help-solve-political-paralysis/
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Kneer, M., & Hannikainen, I. R. (2020). Triage Dilemmas: A Window into (Ecologically Valid) Moral Cognition. https://doi.org/10.31234/osf.io/v87sb
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fivethirtyeight.com fivethirtyeight.com
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Jr, N. L. (2020, September 14). Why Coming Up With Effective Interventions To Address COVID-19 Is So Hard. FiveThirtyEight. https://fivethirtyeight.com/features/why-coming-up-with-effective-interventions-to-address-covid-19-is-so-hard/
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journals.sagepub.com journals.sagepub.com
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Berman, J. Z., & Kupor, D. (2020). Moral Choice When Harming Is Unavoidable: Psychological Science. https://doi.org/10.1177/0956797620948821
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Local file Local file
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Decision fatigue describes a phenomenon where giving any real thought to a decision takes up energy.
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www.reddit.com www.reddit.com
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r/BehSciAsk—Comment by u/nick_chater on ”Personally-determined vs mandated behaviour”. (n.d.). Reddit. Retrieved June 2, 2020, from https://www.reddit.com/r/BehSciAsk/comments/gre3o6/personallydetermined_vs_mandated_behaviour/fsi5h2r
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news.bloomberglaw.com news.bloomberglaw.com
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Trump Back-to-School Threats Pressure Educators Fearing Covid. (n.d.). Retrieved September 3, 2020, from https://news.bloomberglaw.com/coronavirus/trump-back-to-school-threats-pressure-educators-fearing-covid-1
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montrealgazette.com montrealgazette.com
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Dad sets up website to track number of COVID cases in Quebec schools. (n.d.). Montreal Gazette. Retrieved September 3, 2020, from https://montrealgazette.com/news/local-news/dad-sets-up-website-to-track-number-of-covid-cases-in-quebec-schools
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Miyoshi, S., Jusup, M., & Holme, P. (2020). Flexible imitation mechanisms suppress epidemics through better vaccination. ArXiv:2009.00443 [Physics, q-Bio]. http://arxiv.org/abs/2009.00443
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www.nytimes.com www.nytimes.com
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Casselman, B. (2020, September 1). Small-Business Failures Loom as Federal Aid Dries Up. The New York Times. https://www.nytimes.com/2020/09/01/business/economy/small-businesses-coronavirus.html
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psyarxiv.com psyarxiv.com
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Borhany, H., Golbabaei, S., Jameie, M., & Borhani, K. (2020). Moral decision making in healthcare and medical professions during the COVID-19 pandemic [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5c769
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think-boundless.com think-boundless.com
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Amazon pushes teams to escalate one-way door decisions – those that can’t be reversed and may have long-term consequences. However, with “two-way” decisions, managers are coached to make these decisions themselves.
Amazon encourages employees to escalate decisions that are irreversible (one-way door decisions) and to delegate decisions that are not. The idea being that if you can act quickly, even if you make more mistakes, it will benefit the system as a whole.
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- Aug 2020
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bjgp.org bjgp.org
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Smith, C. F., Drew, S., Ziebland, S., & Nicholson, B. D. (2020). Understanding the role of GPs’ gut feelings in diagnosing cancer in primary care: A systematic review and meta-analysis of existing evidence. British Journal of General Practice, 70(698), e612–e621. https://doi.org/10.3399/bjgp20X712301
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