• for: Michael Levine, developmental biology, human superorganism, multi-scale competency architecture, eukaryote multi-cellular superorganism - interlevel communication, interoception

• definition: multi-scale competency architecture

  • a complex living organism is not simply nested structurally in terms of cells which comprise tissues, comprising organs, and bodies, and then ultimately societies. Each of these layers has certain problem-solving competencies.

• comment

  • The HUMAN interBEcomING is a multi-level system.
  • It would be insightful to learn if there are ways our human consciousness level can communicate to each level, including the social level
• future work
  • literature review of research on specific areas related to the level of human consciousness communicating with other levels of the superorganism
    • perhaps called "interlevel communication of multi-level superorganism
    • interoception signals?

From Wikipedia page on Icarus Paradox. Example of architectural design/technical debt leading to an "interest rate" that eventually collapsed the organization. How can one "pay down the principle" and not just the "compound interest"? What does that look like for this scenario? More invest in workforce retraining?

Humans are complex, adaptive systems. Machines have a long history of being complicated, efficient (but not robust) systems. Is there a way to bridge this gap? What does an antifragile system of machines look like? Supervised learning? How do we ensure we don't fall prey to the oracle problem?

Baskerville, R.L.; Land, F. (2004). "Socially Self-destructing Systems". The Social Study of Information and Communication Technology: Innovation, actors, contexts. Oxford: Oxford University Press. pp. 263–285

!- definition : nonviolent communication, language of life * a method of communication that does not prioritize social programming over an individual's right to articulate and own their own speech.

Institutions may supply learning environments that facilitate social interaction and collaboration and assure effective support to students with technological difficulties. Technological difficulties can cause student frustration as well as communication problems, which hamper collaborative processes such as explanations, sharing answers, and negotiation (Ragoonaden & Bordeleau, 2000).

ReconfigBehSci. (2020, November 25). @ToddHorowitz3 @sciam do you mean the specific article is bad, or the wider claim/argument? Because as someone who does research on collective intelligence, I’d say there is some reason to believe it is true that there can be “too much” communication in science. See e.g. The work of Kevin Zollman [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1331672900550725634

ReconfigBehSci on Twitter: ‘Now #scibeh2020: Pat Healey from QMU, Univ. Of London speaking about (online) interaction and miscommunication in our session on “Managing Online Research Discourse” https://t.co/Gsr66BRGcJ’ / Twitter. (n.d.). Retrieved 6 March 2021, from https://twitter.com/SciBeh/status/1326155809437446144

ReconfigBehSci. (2020, November 10). Now #scibeh2020: Presentation and Q&A with Martha Scherzer, senior risk communication and community engagement (RCCE) Consultant at the World Health Organization https://t.co/Gsr66BRGcJ [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1326148149870809089

Singh, K., Lima, G., Cha, M., Cha, C., Kulshrestha, J., Ahn, Y.-Y., & Varol, O. (2022). Misinformation, believability, and vaccine acceptance over 40 countries: Takeaways from the initial phase of the COVID-19 infodemic. PLOS ONE, 17(2), e0263381. https://doi.org/10.1371/journal.pone.0263381

Michaud, M., & Center, U. of R. M. (n.d.). Trust in science at root of vaccine acceptance. Retrieved February 8, 2022, from https://medicalxpress.com/news/2022-01-science-root-vaccine.html

Democracy in the age of social media. (n.d.). EXPeditions - Meet the World’s Best Minds. Retrieved February 5, 2022, from https://www.joinexpeditions.com/exps/43

Trust in Science is Changing. (n.d.). The Science Writer. Retrieved January 21, 2022, from https://www.thesciencewriter.org/uncharted/trust-science-changing

Should bad science be censored on social media? (2022, January 19). BBC News. https://www.bbc.com/news/technology-60036861

Fischer, O., Jeitziner, L., & Wulff, D. U. (2021). Affect in science communication: A data-driven analysis of TED talks. PsyArXiv. https://doi.org/10.31234/osf.io/28yc5

McCrackin, S., Ristic, J., Mayrand, F., & Capozzi, F. (2021). Face masks impair basic emotion recognition: Group effects and individual variability (Accepted for Publication in Social Psychology). PsyArXiv. https://doi.org/10.31234/osf.io/2whmp

Courtney, D. S., & Bliuc, A.-M. (2021). Antecedents of Vaccine Hesitancy in WEIRD and East Asian Contexts. Frontiers in Psychology, 12, 5873. https://doi.org/10.3389/fpsyg.2021.747721

Schmid, P., & Lewandowsky, S. (n.d.). Tackling COVID disinformation with empathy and conversation. The Conversation. Retrieved December 15, 2021, from http://theconversation.com/tackling-covid-disinformation-with-empathy-and-conversation-173013

Drążkowski, D., Trepanowski, R., & Fointiat, V. (2021). Vaccinating to protect others: The role of self-persuasion and empathy among young adults. PsyArXiv. https://doi.org/10.31234/osf.io/wh4cs

Zubek, J., Ziembowicz, K., Pokropski, M., Gwiaździński, P., Denkiewicz, M., & Boros, A. (2021). Rhythms of the day: How electronic media and daily routines influence mood during COVID-19 pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/czg27

ReconfigBehSci. (2021, November 2). The current JCVI minutes debate clearly illustrates the problems with Twitter and scientific debate: Meaning glossed, hedges and distinctions left behind, claims about arguments conflated with claims about people, paving the way to ramped up, emotive soundbites and claims. 1/7 [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1455458854637117440

Thaker, J., & Richardson, L. (2021). COVID-19 Vaccine Segments in Australia: An Audience Segmentation Analysis to Improve Vaccine Uptake [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/y85nm

How online misinformation spreads. (n.d.). Retrieved October 19, 2021, from https://knowablemagazine.org/article/society/2021/how-online-misinformation-spreads

Rohlinger, D. A., & Meyer, D. S. (2021). Protest During a Pandemic: How COVID-19 Affected Social Movements in the U.S. SocArXiv. https://doi.org/10.31235/osf.io/qk25r

Sutton, J. (2018). Health Communication Trolls and Bots Versus Public Health Agencies’ Trusted Voices. American Journal of Public Health, 108(10), 1281–1282. https://doi.org/10.2105/AJPH.2018.304661

Palm, R., Bolsen, T., & Kingsland, J. T. (2021). The Effect of Frames on COVID-19 Vaccine Resistance. Frontiers in Political Science, 3, 661257. https://doi.org/10.3389/fpos.2021.661257

Vraga, E. K., & Bode, L. (2017). Using Expert Sources to Correct Health Misinformation in Social Media. Science Communication, 39(5), 621–645. https://doi.org/10.1177/1075547017731776

Lazić, A., & Zezelj, I. (2021). Negativity In Online News Coverage Of Vaccination Rates In Serbia: A Content Analysis. PsyArXiv. https://doi.org/10.31234/osf.io/nqjb9

Mixing science and art to make the truth more interesting than lies. (n.d.). Retrieved September 28, 2021, from https://theconversation.com/mixing-science-and-art-to-make-the-truth-more-interesting-than-lies-100221?utm_source=twitter&utm_medium=bylinetwitterbutton

Jamison, A. M., Broniatowski, D. A., Dredze, M., Sangraula, A., Smith, M. C., & Quinn, S. C. (2020). Not just conspiracy theories: Vaccine opponents and proponents add to the COVID-19 ‘infodemic’ on Twitter. Harvard Kennedy School Misinformation Review, 1(3). https://doi.org/10.37016/mr-2020-38

Pillai, Raunak, and Lisa Fazio. “The Effects of Repeating False and Misleading Information on Belief.” PsyArXiv, August 3, 2021. https://doi.org/10.31234/osf.io/z78xm.

Nan, X., Wang, Y., & Thier, K. (2021). Health Misinformation. PsyArXiv. https://doi.org/10.31234/osf.io/jt3ur

The CDC Should Be More Like Wikipedia—The Atlantic. (n.d.). Retrieved July 23, 2021, from https://www.theatlantic.com/ideas/archive/2021/07/cdc-should-be-more-like-wikipedia/619469/

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

Markowitz, D. M., Song, H. (Jin), & Taylor, S. H. (2021). Tracing the Adoption and Effects of Open Science in Communication Research. PsyArXiv. https://doi.org/10.31234/osf.io/dsf67

Morrison, M., Merlo, K., & Woessner, Z. (2021). How to boost the impact of scientific conferences [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/895gt

Example of a professor/research who has apparently made his Tweets public, but intends to re-lock them majority of threat is over.

Metzler, Hannah, Bernard Rimé, Max Pellert, Thomas Niederkrotenthaler, Anna Di Natale, and David Garcia. “Collective Emotions during the COVID-19 Outbreak.” PsyArXiv, June 8, 2021. https://doi.org/10.31234/osf.io/qejxv.

PsyArXiv Preprints | A Global Experiment on Motivating Social Distancing during the COVID-19 Pandemic. (n.d.). Retrieved 2 June 2021, from https://psyarxiv.com/n3dyf/

Lutkenhaus, R. O., Jansz, J., & Bouman, M. P. A. (2019). Mapping the Dutch vaccination debate on Twitter: Identifying communities, narratives, and interactions. Vaccine: X, 1. https://doi.org/10.1016/j.jvacx.2019.100019

Grant, L., Hausman, B. L., Cashion, M., Lucchesi, N., Patel, K., & Roberts, J. (2015). Vaccination Persuasion Online: A Qualitative Study of Two Provaccine and Two Vaccine-Skeptical Websites. Journal of Medical Internet Research, 17(5), e4153. https://doi.org/10.2196/jmir.4153

Jung, M., Lin, L., & Viswanath, K. (2013). Associations between health communication behaviors, neighborhood social capital, vaccine knowledge, and parents’ H1N1 vaccination of their children. Vaccine, 31(42), 4860–4866. https://doi.org/10.1016/j.vaccine.2013.07.068

Betsch, C., Böhm, R., & Korn, L. (2013). Inviting free-riders or appealing to prosocial behavior? Game-theoretical reflections on communicating herd immunity in vaccine advocacy. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 32(9), 978–985. https://doi.org/10.1037/a0031590

Dante Licona. (2020, December 8). What can NGOs, government and public institutions do on TikTok? Today @melisfiganmese and I shared some insights at #EuroPCom, the @EU_CoR conference for public communication. We were asked to talk about upcoming social media trends. Here’s a thread with some insights👇 https://t.co/GzOA66vstQ [Tweet]. @Dante_Licona. https://twitter.com/Dante_Licona/status/1336303773334069251

Hyland, P., Vallières, F., Shevlin, M., Bentall, R. P., McKay, R., Hartman, T. K., McBride, O., & Murphy, J. (2021). Resistance to COVID-19 vaccination has increased in Ireland and the UK during the pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/ry6n4

ReconfigBehSci on Twitter: ‘RT @PsyArXivBot: Resistance to COVID-19 vaccination has increased in Ireland and the UK during the pandemic https://t.co/AgKErDr7Yj’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1366707710151053312

Ferraro, P. J., Miranda, J. J., & Price, M. K. (2011). The Persistence of Treatment Effects with Norm-Based Policy Instruments: Evidence from a Randomized Environmental Policy Experiment. American Economic Review, 101(3), 318–322. https://doi.org/10.1257/aer.101.3.318

Centola, D. (n.d.). Why Social Media Makes Us More Polarized and How to Fix It. Scientific American. Retrieved October 25, 2020, from https://www.scientificamerican.com/article/why-social-media-makes-us-more-polarized-and-how-to-fix-it/

IZA – Institute of Labor Economics. ‘COVID-19 and the Labor Market’. Accessed 6 October 2020. https://covid-19.iza.org/publications/dp13690/.

Merlino, L. P., Pin, P., & Tabasso, N. (2020). Debunking Rumors in Networks. ArXiv:2010.01018 [Physics]. http://arxiv.org/abs/2010.01018

r/BehSciAsk—A comprehensive compliance model? (n.d.). Reddit. Retrieved September 17, 2020, from https://www.reddit.com/r/BehSciAsk/comments/itylzl/a_comprehensive_compliance_model/

Maria Sundaram PhD on Twitter. (n.d.). Twitter. Retrieved September 14, 2020, from https://twitter.com/mariasundaram/status/1304453386914402304

Coronavirus cases are rising again in the UK. Here’s what should happen next | Devi Sridhar. (2020, September 8). The Guardian. http://www.theguardian.com/commentisfree/2020/sep/08/coronavirus-cases-rising-uk-second-wave

Thread, C. (2020, June 19). Trolls and Tribulations: Social Media and Public Health. Medium. https://medium.com/@gocommonthread/trolls-and-tribulations-social-media-and-public-health-499bf5c8727c

Usher, E., Golding, J. M., Han, J., Griffiths, C. S., McGavran, M. B., Brown, C. S., Sheehan, E. A. (2020). Psychology Students’ Motivation and Learning in Response to the Shift to Remote Instruction During COVID-19. [Preprint]. PsyArXiv. 10.31234/osf.io/xwhpm

Using Social and Behavioral Science to Support COVID 19 Pandemic Response with Dr. Jay Van Bavel. (2020, May 7). https://www.youtube.com/watch?v=nuTPmaFsNrA

Research, B. and S. S. at N. (2020, May 25). Imagining a different online world. Behavioural and Social Sciences at Nature Research. http://socialsciences.nature.com/users/397838-philipp-lorenz-spreen/posts/imagining-a-different-online-world

Chang, D. C., & Stapleton, S. M. (2020). Response: The Proliferation and Misinterpretation of “As Safe As” Statements in Surgical Science: A Call for Professional Discourse to Search for a Solution. Journal of Surgical Research, 0(0). https://doi.org/10.1016/j.jss.2020.03.074

Shahal, S., Wurzberg, A., Sibony, I., Duadi, H., Shniderman, E., Weymouth, D., Davidson, N., & Fridman, M. (2020). Synchronization of complex human networks. Nature Communications, 11(1), 3854. https://doi.org/10.1038/s41467-020-17540-7

Engelhardt, R., Hendricks, V. F., & Stærk-Østergaard, J. (2020). The Wisdom and Persuadability of Threads. ArXiv:2008.05203 [Physics]. http://arxiv.org/abs/2008.05203

Identifying social media manipulation with OSoMe tools. (2020, August 11). https://www.youtube.com/watch?v=1BMv0PrdVGs&feature=youtu.be

Simchon, A., Brady, W. J., & Bavel, J. J. V. (2020). Troll and Divide: The Language of Online Polarization. https://doi.org/10.31234/osf.io/xjd64

Instead of positive feedback like this, is there a way to create negative feedback loops in these social media apps?

Panda, A., Gonawela, A., Acharyya, S., Mishra, D., Mohapatra, M., Chandrasekaran, R., & Pal, J. (2020). NivaDuck—A Scalable Pipeline to Build a Database of Political Twitter Handles for India and the United States. International Conference on Social Media and Society, 200–209. https://doi.org/10.1145/3400806.3400830

Briscese, G., Lacetera, N., Macis, M., & Tonin, M. (2020). Compliance with COVID-19 Social-Distancing Measures in Italy: The Role of Expectations and Duration (Working Paper No. 26916; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26916

Tasnim, S., Hossain, M. M., & Mazumder, H. (2020). Impact of rumors or misinformation on coronavirus disease (COVID-19) in social media [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/uf3zn

van Rooij, B., de Bruijn, A. L., Reinders Folmer, C., Kooistra, E., Kuiper, M. E., Brownlee, M., … Fine, A. (2020, April 22). Compliance with COVID-19 Mitigation Measures in the United States. https://doi.org/10.31234/osf.io/qymu3

Haman, M. (2020). The use of Twitter by state leaders and its impact on the public during the COVID-19 pandemic. https://doi.org/10.31235/osf.io/u4maf

Dan Quintana on Twitter: “Tomorrow at 1pm CEST I’ll be doing a virtual talk for the Rotterdam R.I.O.T. Science Club (@rdam_riots) on using Twitter for science 🧬 I’ll be covering both the why and the how + I’ll be leaving plenty of time for a Q&A session. Watch here: https://t.co/nXHry9Inyi https://t.co/T6u7lvgAhO” / Twitter. (n.d.). Twitter. Retrieved June 17, 2020, from https://twitter.com/dsquintana/status/1264623289814659072

Thomas W. Malone—COVID-19 and Collective Intelligence (ACM CI’20). (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?v=W5RfAZMMTPM

van Baal, S. T., & Hohwy, J. (2020). Risk perception and personal responsibility during COVID-19: An experimental study of the role of imperative vs reasoning-based communication for self-isolation attitudes [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/s7jeq

Dr Daniel Quintana | Using Twitter for Science | R.I.O.T. Science Club—YouTube. (2020, May 26). https://www.youtube.com/watch?v=pA5Y4cO934I

Velez, G., & Power, S. A. (2020). Teaching students how to think, not what to think: Pedagogy & political psychology [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/yedap

Chen, C., Messinger, D., Duan, Y., Ince, R. A., Garrod, O. G. B., schyns, P., & Jack, R. (2020). Dynamic facial expressions of emotion decouple emotion category and intensity information over time [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/4gpev

For Political Candidates, Making Jokes Online Might Backfire. (2020, June 18). Research Digest. https://digest.bps.org.uk/2020/06/18/for-political-candidates-making-jokes-online-might-backfire/