Can talk about how this applies to other areas/problem-solving/impact on world.

Im, H., Wang, P., & Chen, C. (2021). The Partisan Mask: Political Orientation, Collectivism, and Religiosity Predict Mask Use During COVID-19. PsyArXiv. https://doi.org/10.31234/osf.io/9s58f

Białek, M., & Grossmann, I. (2021). Social bias insights concern judgments rather than real-world decisions. PsyArXiv. https://doi.org/10.31234/osf.io/y3h7n

West, J. D., & Bergstrom, C. T. (2021). Misinformation in and about science. Proceedings of the National Academy of Sciences, 118(15). https://doi.org/10.1073/pnas.1912444117

Emails show Trump officials celebrate efforts to change CDC reports on coronavirus—The Washington Post. (n.d.). Retrieved April 12, 2021, from https://www.washingtonpost.com/health/2021/04/09/cdc-covid-political-interference/

Covid: Red states vaccinating at lower rate than blue states—CNNPolitics. (n.d.). Retrieved April 12, 2021, from https://edition.cnn.com/2021/04/10/politics/vaccinations-state-analysis/

Hotez, P. (2021). Covid-19: A disaster five years in the making. BMJ, 373, n657. https://doi.org/10.1136/bmj.n657

Disabato, D., Aurora, P., Sidney, P. G., Taber, J. M., Thompson, C. A., & Coifman, K. (2021). Taking care with self-care during COVID-19: Affect-behavior associations during early stages of the pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/eycmj

Kubo, T., Sugawara, D., & Masuyama, A. (2021). The effect of passion for activities on fear of COVID-19 and mental health among the Japanese population. PsyArXiv. https://doi.org/10.31234/osf.io/rvgs7

Ross, J. S. (2021). Covid-19, open science, and the CVD-COVID-UK initiative. BMJ, 373, n898. https://doi.org/10.1136/bmj.n898

The BMJ. (2021, April 8). “These data represent a remarkable research resource and illustrate how covid-19 has fostered open science” @jsross119 @BHFDataScience https://t.co/i3ddpBqq7j [Tweet]. @bmj_latest. https://twitter.com/bmj_latest/status/1380062868746469377

Dr Ellie Murray [@EpiEllie] (2020) I saw a tweet about how there isn’t enough discussion of what experts got wrong on COVID, so here’s a thread of things I got wrong. Tweet. Retrieved from: https://twitter.com/epiellie/status/1378016842174898185

The Top COVID-19 Vaccine Myths Spreading Online. (n.d.). Encyclopedia Britannica. Retrieved 6 April 2021, from https://www.britannica.com/list/the-top-covid-19-vaccine-myths-spreading-online

Opinion: Ontario’s COVID-19 failure stems from politicians’ inability to understand how people behave. (n.d.). Retrieved 6 April 2021, from https://www.theglobeandmail.com/opinion/article-ontarios-covid-19-failure-stems-from-politicians-inability-to/?utm_medium=Referrer:+Social+Network+/+Media&utm_campaign=Shared+Web+Article+Links

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

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Carl T. Bergstrom. (2021, March 28). In his latest paper about COVID infection fatality rates, John Ioannidis does not address the critiques from @GidMK, but instead engages in the most egregious gatekeeping that I have ever seen in a scientific paper. Https://t.co/P08sFIovD6 [Tweet]. @CT_Bergstrom. https://twitter.com/CT_Bergstrom/status/1376080062131269634

Transparent Peer Review

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Transparent Peer Review

Download the complete Review Process [PDF] including:

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</br>

Transparent Peer Review

Download the complete Review Process [PDF] including:

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</br>

Transparent Peer Review

Download the complete Review Process [PDF] including:

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As I said at the wiki I saw this link from, you don't test the hypothesis directly, you test the predictions, the "observational consequences", from the hypothesis.

Knowles, R., Mateen, B. A., & Yehudi, Y. (2021). We need to talk about the lack of investment in digital research infrastructure. Nature Computational Science, 1(3), 169–171. https://doi.org/10.1038/s43588-021-00048-5

Holden Thorp, H. (2021) ‘No Senator, It’s Not Theater | Editor’s Blog’. https//blogs.sciencemag.org/editors-blog/2021/03/22/no-senator-its-not-theater/.

Karimi, Fariba, and Petter Holme. ‘A Temporal Network Version of Watts’s Cascade Model’. ArXiv:2103.13604 [Physics], 25 March 2021. http://arxiv.org/abs/2103.13604.

Conley, D., & Johnson, T. (2021). Opinion: Past is future for the era of COVID-19 research in the social sciences. Proceedings of the National Academy of Sciences, 118(13). https://doi.org/10.1073/pnas.2104155118

Nsoesie, E. O., Oladeji, O., Abah, A. S. A., & Ndeffo-Mbah, M. L. (2021). Forecasting influenza-like illness trends in Cameroon using Google Search Data. Scientific Reports, 11(1), 6713. https://doi.org/10.1038/s41598-021-85987-9

Iversen, P. L., & Bavari, S. (2021). Is there space for a three-dose vaccine to fight the spread of SARS-CoV-2? The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(21)00149-3

Breznau, N., Rinke, E. M., Wuttke, A., Adem, M., Adriaans, J., Alvarez-Benjumea, A., Andersen, H. K., Auer, D., Azevedo, F., Bahnsen, O., Balzer, D., Bauer, G., Bauer, P. C., Baumann, M., Baute, S., Benoit, V., Bernauer, J., Berning, C., Berthold, A., … Nguyen, H. H. V. (2021). Observing Many Researchers using the Same Data and Hypothesis Reveals a Hidden Universe of Data Analysis. MetaArXiv. https://doi.org/10.31222/osf.io/cd5j9

Corker, K. S. (2021). An Open Science Workflow for More Credible, Rigorous Research. PsyArXiv. https://doi.org/10.31234/osf.io/wu6sn

Rebitschek, F., Ellermann, C., Jenny, M., Siegel, N. A., Spinner, C., & Wagner, G. (2021). How skeptics could be convinced (not persuaded) to get vaccinated against COVID-19. PsyArXiv. https://doi.org/10.31234/osf.io/f4nqt

Kejriwal, M., & Shen, K. (2021). COVID-19 vaccine hesitancy is positively associated with affective wellbeing. PsyArXiv. https://doi.org/10.31234/osf.io/nkvhs

Schiavone, S. R., Bottesini, J. G., & Vazire, S. (2021). The Crisis from Above: Gatekeepers Need Better Standards. PsyArXiv. https://doi.org/10.31234/osf.io/mby5u

Seguin, D., Kuenzel, E., Morton, J. B., & Duerden, E. (2021). School’s out: Parenting stress and screen time use in school-age children during the COVID-19 pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/5guc3

Petersen, M. B., Jørgensen, F. J., Bor, A., & Lindholt, M. F. (2021). Did the suspension of the AstraZeneca-vaccine decrease vaccine acceptance? PsyArXiv. https://doi.org/10.31234/osf.io/uh4y6

Lui, P. P., Parikh, K., Katedia, S., & Jouriles, E. (2021). Anti-Asian Discrimination and Antiracist Bystander Behaviors amid the COVID-19 Outbreak. PsyArXiv. https://doi.org/10.31234/osf.io/eaz3k

Betsch, C., Korn, L., Sprengholz, P., Felgendreff, L., Eitze, S., Schmid, P., & Böhm, R. (2020). Social and behavioral consequences of mask policies during the COVID-19 pandemic. Proceedings of the National Academy of Sciences, 117(36), 21851–21853. https://doi.org/10.1073/pnas.2011674117

Tuncgenc, B., El Zein, M., Sulik, J., Newson, M., Zhao, Y., Dezecache, G., & Deroy, O. (2020). We distance most when we believe our social circle does [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/u74wc

Anderson-Carpenter, K. D., & Neal, Z. (2020). Racial disparities in COVID-19 impacts in Michigan, USA [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/v2jda

Anderson, D., Hesketh, R., Kleinman, M., & Portes, J. (2020). Global City in a Global Pandemic: Assessing the Ongoing Impact of COVID Induced Trends on London’s Economic Sectors [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/7m286

Daly, M., & Robinson, E. (2020). Psychological distress and adaptation to the COVID-19 crisis in the United States [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/79f5v

Rigoli, F. (2020). The link between coronavirus, anxiety, and religious beliefs in the United States and United Kingdom. https://doi.org/10.31234/osf.io/wykeq

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

Luppi, F., Arpino, B., & Rosina, A. (2020). The impact of COVID-19 on fertility plans in Italy, Germany, France, Spain and UK [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/wr9jb

Gabriel, H. T. L., & Ho, C. M. C. (2020). Effects of the Coronavirus (COVID-19) Pandemic on Social Behaviours: From a Social Dilemma Perspective. https://doi.org/10.31235/osf.io/8duvx

Hisler, G., & Twenge, J. (2020). Sleep health in U.S. adults before and during the COVID-19 pandemic [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/bzqhd

O’Keeffe, C., & McNally, S. (2020). Perspectives of early childhood teachers in Ireland on the role of play during the pandemic [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/q74e9

van Mulukom, V., Muzzulini, B., Rutjens, B. T., Van Lissa, C. J., & Farias, M. (2020). Psychological Impact of COVID-19 lockdown_PREPRINT [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/fjxze

Masuyama, A., Shinkawa, H., & kubo, takahiro. (2020). Development and validation of the Japanese version Fear of COVID-19 Scale among adolescents. [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/jkmut

van de Werfhorst, H. G., Kessenich, E., & Geven, S. (2020). The Digital Divide in Online Education. Inequality in Digital Preparedness of Students and Schools before the Start of the COVID-19 Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/58d6p

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

Levy, N. L., & Ross, R. M. (2020). The cognitive science of fake news [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/3nuzj

Tutnjević, S., & Lakić, S. (2020). Psychological impact of the COVID-19 pandemic on pregnant women in Bosnia and Herzegovina and Serbia [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/su3nv

Vieira, J. B., Pierzchajlo, S., Jangard, S., Marsh, A., & Olsson, A. (2020). Acute defensive emotions predict increased everyday altruism during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/n3t5c

Greene, C., & Murphy, G. (2020). Can fake news really change behaviour? Evidence from a study of COVID-19 misinformation. https://doi.org/10.31234/osf.io/qfnm3

Robertson, O. M., & Pownall, M. (2020). The Expertise Paradox: Opportunities and Challenges of a Public Psychology Framework [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/sfnb9

Barrick, E., Thornton, M. A., & Tamir, D. (2020). Mask exposure during COVID-19 changes emotional face processing. PsyArXiv. https://doi.org/10.31234/osf.io/yjfg3

Fluharty, M., Paul, E., & Fancourt, D. (2020). Predictors and patterns of gambling behaviour across the COVID-19 lockdown: Findings from a UK cohort study. PsyArXiv. https://doi.org/10.31234/osf.io/8qthw

Leblanc-Sirois, Y., Gagnon, M.-È., & Blanchette, I. (2020). Emotions, reasoning, and mental health as predictors of behavior during three phases of the COVID-19 pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/2p39h

Lee, S. J., Ward, K. P., Lee, J. Y., & Rodriguez, C. (2020). Parental Social Isolation and Child Maltreatment Risk During the COVID-19 Pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/2wfgr

Meyer, M., Gjorgjieva, T., & Rosica, D. (2020). Healthcare worker intentions to receive a COVID-19 vaccine and reasons for hesitancy: A survey of 16,158 health system employees on the eve of vaccine distribution. PsyArXiv. https://doi.org/10.31234/osf.io/ge6uh

Hornik, R., Woko, C., Siegel, L., KIm, K., Kikut, A., Jesch, E., & Clark, D. (2020). 1 What Beliefs are Associated with COVID Vaccination Intentions? Implications for Campaign Planning. PsyArXiv. https://doi.org/10.31234/osf.io/t3kyx

Poland, G. A., & Jacobson, R. M. (2011, January 12). The Age-Old Struggle against the Antivaccinationists (world) [N-perspective]. Http://Dx.Doi.Org/10.1056/NEJMp1010594; Massachusetts Medical Society. https://doi.org/10.1056/NEJMp1010594

The COVID-19 Vaccine Communication Handbook | A practical guide for improving vaccine communication and fighting misinformation. (n.d.). Retrieved January 14, 2021, from https://rri-tools.eu/-/the-covid-19-vaccine-communication-handbook-a-practical-guide-for-improving-vaccine-communication-and-fighting-misinformation

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Davis, N. (2020, May 26). Research reveals gene role in both dementia and severe Covid-19. The Guardian. https://www.theguardian.com/world/2020/may/26/research-reveals-gene-role-in-both-dementia-and-severe-covid-19

Enders, A. M., Uscinski, J. E., Klofstad, C., & Stoler, J. (2020). The different forms of COVID-19 misinformation and their consequences. Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-48

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Peeters, A., Mullins, G., Becker, D., Orellana, L., & Livingston, P. (2020). COVID-19’s impact on Australia’s health research workforce. The Lancet, 396(10249), 461. https://doi.org/10.1016/S0140-6736(20)31533-6

Devriendt, K., Martin-Gutierrez, S., & Lambiotte, R. (2020). Variance and covariance of distributions on graphs. ArXiv:2008.09155 [Physics, Stat]. http://arxiv.org/abs/2008.09155

Hoogeveen, S., Sarafoglou, A., & Wagenmakers, E.-J. (2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully: Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920919667

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Di Lauro, F., Berthouze, L., Dorey, M. D., Miller, J. C., & Kiss, I. Z. (2020). The impact of network properties and mixing on control measures and disease-induced herd immunity in epidemic models: A mean-field model perspective. ArXiv:2007.06975 [Physics, q-Bio]. http://arxiv.org/abs/2007.06975

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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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