按时间记录不完全合理，还是应该按任务记录。
这一观点挑战了传统时间轴记录的惯性思维。时间轴看似客观，实则碎片化，增加了认知负担。以 Task 为核心组织记忆，实际上是模拟人类大脑的联想记忆机制，将散乱的行为建模为有序的因果关系，极大提升了信息的召回效率和应用价值。
243 Matching Annotations
- Last 7 days
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mp.weixin.qq.com mp.weixin.qq.com
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- Jan 2025
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ericmjl.github.io ericmjl.github.io
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Python Data Science Bootstrap
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- Nov 2024
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osf.io osf.io
- Sep 2024
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dl.acm.org dl.acm.org
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Therefore, similar to Ribes et al. in their study of domain [113], the epistemic positions we propose aim to provide conceptual tools for reasoning about different styles of organizing creativity-oriented research practices in HCI.
David Ribes' work explores the definition of domain in computing and data science; offers insight into how studying domains helps organize computational systems.
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- Jul 2024
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github.com github.com
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The Computational Democracy Project
We bring data science to deliberative democracy, so that governance may better reflect the multidimensionality of the public's will.
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- Jun 2024
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www.geeksforgeeks.org www.geeksforgeeks.org
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Data structures are an integral part of computers used for the arrangement of data in memory.
The importance of data structures (related to memory)
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- Dec 2023
- Jan 2023
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www.complexityexplorer.org www.complexityexplorer.org
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3.1 Guest Lecture: Lauren Klein » Q&A on "What is Feminist Data Science?"<br /> https://www.complexityexplorer.org/courses/162-foundations-applications-of-humanities-analytics/segments/15631
https://www.youtube.com/watch?v=c7HmG5b87B8
Theories of Power
Patricia Hill Collins' matrix of domination - no hierarchy, thus the matrix format
What are other broad theories of power? are there schools?
Relationship to Mary Parker Follett's work?
Bright, Liam Kofi, Daniel Malinsky, and Morgan Thompson. “Causally Interpreting Intersectionality Theory.” Philosophy of Science 83, no. 1 (January 2016): 60–81. https://doi.org/10.1086/684173.
about Bayesian modeling for intersectionality
Where is Foucault in all this? Klein may have references, as I've not got the context.
How do words index action? —Laura Klein
The power to shape discourse and choose words - relationship to soft power - linguistic memes
Color Conventions Project
20:15 Word embeddings as a method within her research
General result (outside of the proximal research) discussed: women are more likely to change language... references for this?
[[academic research skills]]: It's important to be aware of the current discussions within one's field. (LK)
36:36 quantitative imperialism is not the goal of humanities analytics, lived experiences are incredibly important as well. (DK)
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www.complexityexplorer.org www.complexityexplorer.org
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https://www.youtube.com/watch?v=HwkRfN-7UWI
Seven Principles of Data Feminism
- Examine power
- Challenge power
- Rethink binaries and hierarchies
- Elevate emotion an embodiment
- Embrace pluralism
- Consider context
- Make labor visible
Abolitionist movement
There are some interesting analogies to be drawn between the abolitionist movement in the 1800s and modern day movements like abolition of police and racial justice, etc.
Topic modeling - What would topic modeling look like for corpuses of commonplace books? Over time?
wrt article: Soni, Sandeep, Lauren F. Klein, and Jacob Eisenstein. “Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers.” Journal of Cultural Analytics 6, no. 1 (January 18, 2021). https://doi.org/10.22148/001c.18841. - Brings to mind the difference in power and invisible labor between literate societies and oral societies. It's easier to erase oral cultures with the overwhelm available to literate cultures because the former are harder to see.
How to find unbiased datasets to study these?
aspirational abolitionism driven by African Americans in the 1800s over and above (basic) abolitionism
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- operationalization
- defunding police
- emotional labor
- slavery
- algorithms
- intersectional feminism
- aspirational abolitionism
- topic modeling
- Catherine D'Ignazio
- Lauren F. Klein
- data science
- invisible labor
- Data Feminism
- power frameworks
- watch
- orality vs. literacy
- dodging the memory hole
- abolitionists
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coderzcolumn.com coderzcolumn.com
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We can have a machine learning model which gives more than 90% accuracy for classification tasks but fails to recognize some classes properly due to imbalanced data or the model is actually detecting features that do not make sense to be used to predict a particular class.
Les mesures de qualite d'un modele de machine learning
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- Nov 2022
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www.cs.ucr.edu www.cs.ucr.edu
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Dr. Miho Ohsaki re-examined workshe and her group had previously published and confirmed that the results are indeed meaningless in the sensedescribed in this work (Ohsaki et al., 2002). She has subsequently been able to redefine the clustering subroutine inher work to allow more meaningful pattern discovery (Ohsaki et al., 2003)
Look into what Dr. Miho Ohsaki changed about the clustering subroutine in her work and how it allowed for "more meaningful pattern discovery"
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Eamonn Keogh is an assistant professor of Computer Science at the University ofCalifornia, Riverside. His research interests are in Data Mining, Machine Learning andInformation Retrieval. Several of his papers have won best paper awards, includingpapers at SIGKDD and SIGMOD. Dr. Keogh is the recipient of a 5-year NSF CareerAward for “Efficient Discovery of Previously Unknown Patterns and Relationships inMassive Time Series Databases”.
Look into Eamonn Keogh's papers that won "best paper awards"
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rmoff.net rmoff.net
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Of course, despite what the "data is the new oil" vendors told you back in the day, you can’t just chuck raw data in and assume that magic will happen on it, but that’s a rant for another day ;-)
Love this analogy - imagine chucking some crude into a black box and hoping for ethanol at the other end. Then, when you end up with diesel you have no idea what happened.
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Working with the raw data has lots of benefits, since at the point of ingest you don’t know all of the possible uses for the data. If you rationalise that data down to just the set of fields and/or aggregate it up to fit just a specific use case then you lose the fidelity of the data that could be useful elsewhere. This is one of the premises and benefits of a data lake done well.
absolutely right - there's also a data provenance angle here - it is useful to be able to point to a data point that is 5 or 6 transformations from the raw input and be able to say "yes I know exactly where this came from, here are all the steps that came before"
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docdrop.org docdrop.org
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okay so remind you what is a sheath so a sheep is something that allows me to 00:05:37 translate between physical sources or physical realms of data and physical regions so these are various 00:05:49 open sets or translation between them by taking a look at restrictions overlaps 00:06:02 and then inferring
Fixed typos in transcript:
Just generally speaking, what can I do with this sheaf-theoretic data structure that I've got? Okay, [I'll] remind you what is a sheaf. A sheaf is something that allows me to translate between physical sources or physical realms of data [in the left diagram] and the data that are associated with those physical regions [in the right diagram]
So these [on the left] are various open sets [an example being] simplices in a [simplicial complex which is an example of a] topological space.
And these [on the right] are the data spaces and I'm able to make some translation between [the left and the right diagrams] by taking a look at restrictions of overlaps [a on the left] and inferring back to the union.
So that's what a sheaf is [regarding data structures]. It's something that allows me to make an inference, an inferential machine.
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CEO, Mike Tung was on Data science podcast. Seems to be solving problem that Google search doesn't; how seriously should you take the results that come up? What confidence do you have in their truth or falsity?
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- Aug 2022
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psyarxiv.com psyarxiv.com
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Jørgensen, F. J., Nielsen, L. H., & Petersen, M. B. (2021). Willingness to Take the Booster Vaccine in a Nationally Representative Sample of Danes. PsyArXiv. https://doi.org/10.31234/osf.io/wurz8
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psyarxiv.com psyarxiv.com
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Petersen, M. B., Rasmussen, M. S., Lindholt, M. F., & Jørgensen, F. J. (2021). Pandemic Fatigue and Populism: The Development of Pandemic Fatigue during the COVID-19 Pandemic and How It Fuels Political Discontent across Eight Western Democracies. PsyArXiv. https://doi.org/10.31234/osf.io/y6wm4
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familyinequality.wordpress.com familyinequality.wordpress.com
- Jul 2022
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drivendata.co drivendata.co
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www.nature.com www.nature.com
- Apr 2022
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bmcmedresmethodol.biomedcentral.com bmcmedresmethodol.biomedcentral.com
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Besançon, L., Peiffer-Smadja, N., Segalas, C., Jiang, H., Masuzzo, P., Smout, C., Billy, E., Deforet, M., & Leyrat, C. (2021). Open science saves lives: Lessons from the COVID-19 pandemic. BMC Medical Research Methodology, 21(1), 117. https://doi.org/10.1186/s12874-021-01304-y
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www.imperial.ac.uk www.imperial.ac.uk
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Imperial News. ‘“Issue of Inequalities” for Long COVID Patients Needs to Be Addressed | Imperial News | Imperial College London’. Accessed 22 April 2022. https://www.imperial.ac.uk/news/232234/issue-inequalities-long-covid-patients-needs/.
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- long covid
- COVID-19
- imperial college london
- inequalities
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- data
- disability
- symptom
- infectious diseases
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twitter.com twitter.com
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Dr Nisreen Alwan 🌻. (2020, March 14). Our letter in the Times. ‘We request that the government urgently and openly share the scientific evidence, data and modelling it is using to inform its decision on the #Covid_19 public health interventions’ @richardhorton1 @miriamorcutt @devisridhar @drannewilson @PWGTennant https://t.co/YZamKCheXH [Tweet]. @Dr2NisreenAlwan. https://twitter.com/Dr2NisreenAlwan/status/1238726765469749248
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twitter.com twitter.com
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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
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- Mar 2022
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘@alexdefig are you really going to claim that responses to the introduction of passports on uptake across 4 other countries are evidentially entirely irrelevant to whether or not passports are justified or not?’ / Twitter. (n.d.). Retrieved 31 March 2022, from https://twitter.com/SciBeh/status/1444358068280565764
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intellipaat.com intellipaat.com
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Learn Data Science from IIT Madras faculty & Industry experts and earn a Data Science certification from India's best Engineering College. Become a Data Scientist through multiple data Science courses covered in this 7-month data science certification program with hands-on exercises & Project work.
This Data Science Course is offered by Intellipaat in collaboration with IIT Madras (one of the renowned institutes in India) to help you master Data Science skills like Python, programming, Data Visualization, Statistical analysis and computing, Deep Learning, etc.
Eager to step into the field of Data Science? Explore the Page now!
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- Feb 2022
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twitter.com twitter.com
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Tyler Black, MD. (2022, January 25). /1 Hi Lucy and your colleagues. Your advocacy toolkit contains poorly sourced, contexted, and biased information on mental health during the pandemic/schooling. And I have receipts too! (Thread) #urgencyofnormal https://t.co/JeWKE0iGn1 [Tweet]. @tylerblack32. https://twitter.com/tylerblack32/status/1486111652076527623
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twitter.com twitter.com
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Dr Emma Hodcroft. (2022, January 28). Just to clarify some confusion about what “Omicron” is. “Omicron” has always applied to the whole family (BA.1-3—We’ve known about them all since late-Nov/early-Dec). But the prevalence of BA.1 meant that it got shorthanded as ’Omicron’—That’s causing some confusion now!🥴 https://t.co/M4FwzGbluo [Tweet]. @firefoxx66. https://twitter.com/firefoxx66/status/1486999566725656576
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twitter.com twitter.com
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Joe Sill on Twitter. (n.d.). Twitter. Retrieved February 2, 2022, from https://twitter.com/joe_sill/status/1473489055136497664
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- Jan 2022
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www.statnews.com www.statnews.com
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Early data indicate vaccines still protect against Omicron’s sister variant, BA.2. (2022, January 28). STAT. https://www.statnews.com/2022/01/28/early-data-indicate-vaccines-still-protect-against-omicrons-sister-variant-ba-2/
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www.nature.com www.nature.com
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Zimmerman, M. I., Porter, J. R., Ward, M. D., Singh, S., Vithani, N., Meller, A., Mallimadugula, U. L., Kuhn, C. E., Borowsky, J. H., Wiewiora, R. P., Hurley, M. F. D., Harbison, A. M., Fogarty, C. A., Coffland, J. E., Fadda, E., Voelz, V. A., Chodera, J. D., & Bowman, G. R. (2021). SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome. Nature Chemistry, 13(7), 651–659. https://doi.org/10.1038/s41557-021-00707-0
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psyarxiv.com psyarxiv.com
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Budak, C., Soroka, S., Singh, L., Bailey, M., Bode, L., Chawla, N., Davis-Kean, P., Choudhury, M. D., Veaux, R. D., Hahn, U., Jensen, B., Ladd, J., Mneimneh, Z., Pasek, J., Raghunathan, T., Ryan, R., Smith, N. A., Stohr, K., & Traugott, M. (2021). Modeling Considerations for Quantitative Social Science Research Using Social Media Data. PsyArXiv. https://doi.org/10.31234/osf.io/3e2ux
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twitter.com twitter.com
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Dr Satoshi Akima. (2022, January 8). I’ve had people mention rising case numbers in Japan and South Korea. But let’s really put that rise into perspective. Nations that have early accepted that #COVIDisAirborne simply fair better https://t.co/KaoE26gQ0N [Tweet]. @ToshiAkima. https://twitter.com/ToshiAkima/status/1479724180840988673
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www.theguardian.com www.theguardian.com
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Davis, N., & correspondent, N. D. S. (2022, January 21). Covid reinfection: How likely are you to catch virus multiple times? The Guardian. https://www.theguardian.com/world/2022/jan/21/covid-reinfection-how-likely-are-you-to-catch-virus-multiple-times
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www.theguardian.com www.theguardian.com
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Devlin, H., & correspondent, H. D. S. (2022, January 21). Mixed messages? How end of Covid plan B could change behaviour in England. The Guardian. https://www.theguardian.com/world/2022/jan/21/mixed-messages-how-end-of-covid-plan-b-rules-could-change-behaviour
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www.statnews.com www.statnews.com
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Scientists try to pinpoint why rapid Covid tests are missing some cases. (2022, January 6). STAT. https://www.statnews.com/2022/01/06/scientists-try-to-pinpoint-why-rapid-covid-tests-are-missing-cases/
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www.theguardian.com www.theguardian.com
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Devlin, H., Davis, N., & correspondents, N. D. S. (2022, January 14). Expect another Omicron wave in early summer, Sage says. The Guardian. https://www.theguardian.com/world/2022/jan/14/expect-another-covid-omicron-wave-in-early-summer-sage-says
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www.barrons.com www.barrons.com
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Nash, D. (n.d.). The CDC Got Lost Trying to Follow the Science. Retrieved January 14, 2022, from https://www.barrons.com/articles/cdc-guidance-covid-isolation-pandemic-51641847943
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twitter.com twitter.com
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Stephen Reicher. (2022, January 13). Following evidence is that peak infectivity with Omicron comes 3-6 days after symptoms emerge (https://niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html), the isolation period is cut to 5 days. How is this “following the science” https://t.co/XRf0pbgiHG [Tweet]. @ReicherStephen. https://twitter.com/ReicherStephen/status/1481652386993041415
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Dolgin, E. (2022). Omicron thwarts some of the world’s most-used COVID vaccines. Nature. https://doi.org/10.1038/d41586-022-00079-6
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www.theguardian.com www.theguardian.com
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Banerjee, A. (2022, January 12). I’m leading a long Covid trial – it’s clear Britain has underestimated its impact. The Guardian. https://www.theguardian.com/commentisfree/2022/jan/12/long-covid-trial-britain-short-term-virus
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twitter.com twitter.com
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Sabina Vohra-Miller. (2022, January 7). The ’with’ or ‘because of’ Covid hospitalization argument is intentionally politicizing data. Https://t.co/oXcCQoFcZw [Tweet]. @SabiVM. https://twitter.com/SabiVM/status/1479591658845052929
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Giglietto, F., Farci, M., Marino, G., Mottola, S., Radicioni, T., & Terenzi, M. (2022). Mapping Nefarious Social Media Actors to Speed-up Covid-19 Fact-checking. SocArXiv. https://doi.org/10.31235/osf.io/6umqs
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www.theguardian.com www.theguardian.com
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Augustin, E. (2022, January 5). Cuba’s vaccine success story sails past mark set by rich world’s Covid efforts. The Guardian. https://www.theguardian.com/world/2022/jan/05/cuba-coronavirus-covid-vaccines-success-story
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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
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virologydownunder.com virologydownunder.com
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Virology Down Under. (n.d.). Virology Down Under. Retrieved 3 January 2022, from https://virologydownunder.com/
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- Dec 2021
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psyarxiv.com psyarxiv.com
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Bansal, B. (2021). Rapid COVID-19 Test: Investigating the Willingness to Take a Rapid Test Based on Multiple Factors. PsyArXiv. https://doi.org/10.31234/osf.io/j3t76
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www.theguardian.com www.theguardian.com
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Murray, J. (2021, December 28). Omicron is ‘not the same disease’ as earlier Covid waves, says UK scientist. The Guardian. https://www.theguardian.com/world/2021/dec/28/omicron-is-not-the-same-disease-as-earlier-covid-waves-says-uk-scientist
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vancouversun.com vancouversun.com
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227 B.C. chiropractors threaten to sue regulatory college if vaccines ordered. (n.d.). Vancouversun. Retrieved December 17, 2021, from https://vancouversun.com/news/local-news/227-b-c-chiropractors-threaten-to-sue-regulatory-college-if-vaccines-ordered
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www.nature.com www.nature.com
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Replicating scientific results is tough—But essential. (2021). Nature, 600(7889), 359–360. https://doi.org/10.1038/d41586-021-03736-4
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twitter.com twitter.com
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AIMOS. (2021, November 30). How can we connect #metascience to established #science fields? Find out at this afternoon’s session at #aimos2021 Remco Heesen @fallonmody Felipe Romeo will discuss. Come join us. #OpenScience #OpenData #reproducibility https://t.co/dEW2MkGNpx [Tweet]. @aimos_inc. https://twitter.com/aimos_inc/status/1465485732206850054
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www.theguardian.com www.theguardian.com
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Sridhar, D. (2021, November 28). How bad will the Omicron Covid variant be in Britain? Three things will tell us. The Guardian. https://www.theguardian.com/commentisfree/2021/nov/28/omicron-covid-variant-britain-southern-africa
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- COVID-19
- UK
- testing
- vaccine
- public health measures
- science
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- protection
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- data
- mask mandate
- variant
- home-testing kit
- health outcome
- mask wearing
- is:news
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- mortality
- lang:en
- Omicron
- government
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- booster
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- immunity
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- strategy
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- England
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- Nov 2021
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link.springer.com link.springer.com
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Malamud’s General Index
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deepblue.lib.umich.edu deepblue.lib.umich.edu
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"The Guide to Social Science Data Preparation and Archiving is aimed at those engaged in the cycle of research, from applying for a research grant, through the data collection phase, and ultimately to preparation of the data for deposit in a public archive: " from tweet
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journals.sagepub.com journals.sagepub.com
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Kovacs, M., Hoekstra, R., & Aczel, B. (2021). The Role of Human Fallibility in Psychological Research: A Survey of Mistakes in Data Management. Advances in Methods and Practices in Psychological Science, 4(4), 25152459211045930. https://doi.org/10.1177/25152459211045930
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www.theguardian.com www.theguardian.com
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Sample, I., & editor, I. S. S. (2021, November 1). One in four 35- to 54-year-olds in England not complying with Covid self-isolation. The Guardian. https://www.theguardian.com/world/2021/nov/01/one-in-four-35--to-54-year-olds-in-england-not-complying-with-covid-self-isolation
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- COVID-19
- behavioral science
- UK
- is:news
- mental health
- lang:en
- vaccine
- statistics
- self-isolation
- data
- Summer
- England
- compliance
Annotators
URL
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- Oct 2021
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www.theguardian.com www.theguardian.com
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Saner, E. (2021, October 26). The psychology of masks: Why have so many people stopped covering their faces? The Guardian. https://www.theguardian.com/world/2021/oct/26/the-great-cover-up-why-the-uk-stopped-wearing-face-masks
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www.theguardian.com www.theguardian.com
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Saner, E. (2021, October 26). The psychology of masks: Why have so many people stopped covering their faces? The Guardian. https://www.theguardian.com/world/2021/oct/26/the-great-cover-up-why-the-uk-stopped-wearing-face-masks
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knowablemagazine.org knowablemagazine.org
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How online misinformation spreads. (n.d.). Retrieved October 19, 2021, from https://knowablemagazine.org/article/society/2021/how-online-misinformation-spreads
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www.theguardian.com www.theguardian.com
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Pfizer Covid jab ‘90% effective against hospitalisation for at least 6 months’ | Coronavirus | The Guardian. (n.d.). Retrieved October 19, 2021, from https://www.theguardian.com/world/2021/oct/05/pfizer-covid-jab-90-effective-against-hospitalisation-for-at-least-6-months?CMP=Share_iOSApp_Other
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www.theguardian.com www.theguardian.com
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Covid booster shots important to stop infection, finds English study | Coronavirus | The Guardian. (n.d.). Retrieved October 14, 2021, from https://www.theguardian.com/world/2021/oct/14/covid-booster-shots-important-to-stop-infection-finds-english-study
Tags
- COVID-19
- UK
- is:news
- breakthrough infection
- lang:en
- vaccine
- science
- booster
- data analysis
- risk
- protection
- transmission
- epidemiology
- research
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URL
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Gurdasani, Deepti. ‘Vaccinating Adolescents in England: A Risk-Benefit Analysis’. OSF Preprints, 4 August 2021. https://doi.org/10.31219/osf.io/grzma.
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘RT @STWorg: Updates to the wiki of COVID-19 vaccine misinformation: Safety syringes retract: Https://t.co/q7Y1kV7pio Fertility not affe…’ / Twitter. (n.d.). Retrieved 10 October 2021, from https://twitter.com/SciBeh/status/1398370401319673858
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www.mdpi.com www.mdpi.com
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Mazumdar, S., & Thakker, D. (2020). Citizen Science on Twitter: Using Data Analytics to Understand Conversations and Networks. Future Internet, 12(12), 210. https://doi.org/10.3390/fi12120210
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- Sep 2021
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sciencebasedmedicine.org sciencebasedmedicine.org
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Dumpster diving in the VAERS database to find more COVID-19 vaccine-associated myocarditis in children | Science-Based Medicine. (n.d.). Retrieved September 14, 2021, from https://sciencebasedmedicine.org/dumpster-diving-in-vaers-doctors-fall-into-the-same-trap-as-antivaxxers/
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josephsdavid.github.io josephsdavid.github.io
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- Aug 2021
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twitter.com twitter.com
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Seth Trueger on Twitter: “@IdiotTracker @RyanMarino from the makers of ivermectin https://t.co/oEhAaWhqK3” / Twitter. (n.d.). Retrieved August 27, 2021, from https://twitter.com/MDaware/status/1404856892812316677
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www.theguardian.com www.theguardian.com
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We shouldn’t be giving Covid boosters while millions wait for a first dose | Andrew Pollard and Seth Berkley | The Guardian. (n.d.). Retrieved August 17, 2021, from https://www.theguardian.com/commentisfree/2021/aug/13/covid-boosters-dose-vaccine
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twitter.com twitter.com
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Trisha Greenhalgh on Twitter: “LONG THREAD on masks. Mute if not interested. Do masks work? Why do some people claim they don’t work? Do they cause harm? What kinds of masks should we wear? How does masking need to change now we know that Covid is airborne? When can we stop wearing them? Get your popcorn. 1/” / Twitter. (n.d.). Retrieved August 1, 2021, from https://twitter.com/trishgreenhalgh/status/1414294003479089154
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- Jul 2021
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Why are fully vaccinated people testing positive for Covid? | Financial Times. (n.d.). Retrieved July 28, 2021, from https://www.ft.com/content/0f11b219-0f1b-420e-8188-6651d1e749ff
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twitter.com twitter.comTwitter1
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Leah Keating on Twitter: “This work with @DavidJPOS and @gleesonj is now on arXiv (https://t.co/hxjZnCmKcM): ‘A multi-type branching process method for modelling complex contagion on clustered networks’ Here is a quick overview of our paper: (1/6) https://t.co/3jQ2flhk71” / Twitter. (n.d.). Retrieved July 23, 2021, from https://twitter.com/leahakeating/status/1418150117106978816
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www.reuters.com www.reuters.com
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Analysis: Pfizer/BioNTech bid for booster doses premature, more data needed -experts | Reuters. (n.d.). Retrieved July 19, 2021, from https://www.reuters.com/world/pfizerbiontech-bid-booster-doses-premature-more-data-needed-experts-2021-07-12/
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www.theatlantic.com www.theatlantic.com
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The AstraZeneca Vaccine Blood-Clot Issue Won’t Go Away—The Atlantic. (n.d.). Retrieved July 2, 2021, from https://www.theatlantic.com/health/archive/2021/03/astrazeneca-vaccine-blood-clot-issue-wont-go-away/618451/
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- Jun 2021
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dockatevaccineblog.wordpress.com dockatevaccineblog.wordpress.com
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Don’t Go Breaking My Heart (Myocarditis and the mRNA COVID-19 Vaccines) – Doctor Kate’s Info Blog. (n.d.). Retrieved June 28, 2021, from https://dockatevaccineblog.wordpress.com/2021/06/27/dont-go-breaking-my-heart-myocarditis-and-the-mrna-covid-19-vaccines/#more-382
Tags
- heart inflammation
- children
- COVID-19
- lang:en
- is:webpage
- vaccine
- safety
- science
- risk perception
- anti-vaccine
- data
- myocarditis
Annotators
URL
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journals.sagepub.com journals.sagepub.com
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Smith, A. M., Willroth, E. C., Gatchpazian, A., Shallcross, A. J., Feinberg, M., & Ford, B. Q. (2021). Coping With Health Threats: The Costs and Benefits of Managing Emotions. Psychological Science, 09567976211024260. https://doi.org/10.1177/09567976211024260
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psyarxiv.com psyarxiv.com
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Moss, A. J., Rosenzweig, C., Jaffe, S. N., Gautam, R., Robinson, J., & Litman, L. (2021). Bots or inattentive humans? Identifying sources of low-quality data in online platforms [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/wr8ds
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www.medrxiv.org www.medrxiv.org
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Woolf, K., McManus, I. C., Martin, C. A., Nellums, L. B., Guyatt, A. L., Melbourne, C., Bryant, L., Gogoi, M., Wobi, F., Al-Oraibi, A., Hassan, O., Gupta, A., John, C., Tobin, M. D., Carr, S., Simpson, S., Gregary, B., Aujayeb, A., Zingwe, S., … Pareek, M. (2021). Ethnic differences in SARS-CoV-2 vaccine hesitancy in United Kingdom healthcare workers: Results from the UK-REACH prospective nationwide cohort study [Preprint]. Public and Global Health. https://doi.org/10.1101/2021.04.26.21255788
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Burton, J. W., Cruz, N., & Hahn, U. (2021). Reconsidering evidence of moral contagion in online social networks. Nature Human Behaviour. https://doi.org/10.1038/s41562-021-01133-5
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Local file Local file
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Green and Murphy,Renaissance Rhetoric; Plett,English Renaissance; Middleton,Memory Systems; British Library,Incunabula Short Title Catalogue. Green and Murphy were the primary source. Middleton and Plett, who compiled memorytreatises as a distinct category, allowed me to add extra titles to Green and Murphy’s listings. An Excel file containing the266 early modern treatises graphed here can be emailed upon request.
Sources of data for this paper. I'd definitely love to get a copy of this Excel file. Might be worth expanding to other languages, countries, and timeperiods as well.
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- May 2021
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www.sciencemag.org www.sciencemag.org
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Wadman, M. (2021). Antivaccine activists use a government database on side effects to scare the public. Science. https://doi.org/10.1126/science.abj6981
Tags
- blood clots
- USA
- COVID-19
- anti-vaxxer
- vaccine
- science
- misinterpretation
- Centers for Disease Control and Prevention
- database
- antivaccine
- Vaccine Adverse Events Reporting System
- activism
- data
- VAERS
- misleading
- false
- side-effects
- lang:en
- government
- misinformation
- is:article
- vaccine-safety
- bad science
- public
- Fox News
- CDC
Annotators
URL
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www.eventbrite.com www.eventbrite.com
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Data Collection and Integration to Enhance Public Health Registration, Thu, Jun 10, 2021 at 1:00 PM | Eventbrite. (n.d.). Retrieved May 28, 2021, from https://www.eventbrite.com/e/data-collection-and-integration-to-enhance-public-health-registration-156146370999
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twitter.com twitter.com
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Darren Dahly on Twitter. (n.d.). Twitter. Retrieved 1 May 2021, from https://twitter.com/statsepi/status/1385127211699691520
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twitter.com twitter.com
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ReconfigBehSci on Twitter. (n.d.). Twitter. Retrieved 1 March 2021, from https://twitter.com/SciBeh/status/1351197475282022404
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Ross, J. S. (2021). Covid-19, open science, and the CVD-COVID-UK initiative. BMJ, 373, n898. https://doi.org/10.1136/bmj.n898
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- Apr 2021
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twitter.com twitter.com
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Mehdi Hasan. (2021, April 12). ‘Given you acknowledged...in March 2020 that Asian countries were masking up at the time, saying we shouldn’t mask up as well was a mistake, wasn’t it... At the time, not just in hindsight?’ My question to Dr Fauci. Listen to his very passionate response: Https://t.co/BAf4qp0m6G [Tweet]. @mehdirhasan. https://twitter.com/mehdirhasan/status/1381405233360814085
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Tollefson, J. (2021, April 16). The race to curb the spread of COVID vaccine disinformation. Nature. https://www.nature.com/articles/d41586-021-00997-x?error=cookies_not_supported&code=0d3302c0-59b3-4065-8835-2a6d99ca35cc
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www.thelancet.com www.thelancet.com
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Ten scientific reasons in support of airborne transmission of SARS-CoV-2—The Lancet. (n.d.). Retrieved April 19, 2021, from https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00869-2/fulltext
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www.pnas.org www.pnas.org
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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
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www.washingtonpost.com www.washingtonpost.com
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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/
Tags
- USA
- children
- COVID-19
- public health
- science
- Centers for Disease Control and Prevention
- scientific integrity
- response
- data
- schools
- Trump
- lang:en
- government
- misinformation
- scientific practice
- is:article
- politics
- Donald Trump
- political interference
- bad science
- scientific advice
- economy
- CDC
Annotators
URL
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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/
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- Mar 2021
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www.nature.com www.nature.com
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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
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journals.sagepub.com journals.sagepub.com
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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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Coenen, A., & Gureckis, T. (2021). The distorting effects of deciding to stop sampling information. PsyArXiv. https://doi.org/10.31234/osf.io/tbrea
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psyarxiv.com psyarxiv.com
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Kejriwal, M., & Shen, K. (2021, March 9). Affective Correlates of Metropolitan Food Insecurity and Misery during COVID-19. https://doi.org/10.31234/osf.io/6zxfe
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rapidreviewscovid19.mitpress.mit.edu rapidreviewscovid19.mitpress.mit.edu
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Editorial Office · Rapid Reviews COVID-19. (n.d.). Rapid Reviews COVID-19. Retrieved 6 March 2021, from https://rapidreviewscovid19.mitpress.mit.edu/editors2
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twitter.com twitter.com
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DataBeers Brussels. (2020, October 26). ⏰ Our next #databeers #brussels is tomorrow night and we’ve got a few tickets left! Don’t miss out on some important and exciting talks from: 👉 @svscarpino 👉 Juami van Gils 👉 Joris Renkens 👉 Milena Čukić 🎟️ Last tickets here https://t.co/2upYACZ3yS https://t.co/jEzLGvoxQe [Tweet]. @DataBeersBru. https://twitter.com/DataBeersBru/status/1320743318234562561
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twitter.com twitter.com
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Cailin O’Connor. (2020, November 10). New paper!!! @psmaldino look at what causes the persistence of poor methods in science, even when better methods are available. And we argue that interdisciplinary contact can lead better methods to spread. 1 https://t.co/C5beJA5gMi [Tweet]. @cailinmeister. https://twitter.com/cailinmeister/status/1326221893372833793
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Unrealistic optimism about future life events: A cautionary note. (n.d.). Retrieved March 4, 2021, from https://psycnet.apa.org/fulltext/2010-22979-001.pdf?auth_token=a25fd4b7f008a50b15fd7b0f1fdb222fc38373f4
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www.google.co.uk www.google.co.uk
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Greene, G. (1999). The Woman who Knew Too Much: Alice Stewart and the Secrets of Radiation. University of Michigan Press.
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘RT @AdamJKucharski: Alice Stewart on epidemiology (from: Https://t.co/mt3pAwCLXP) https://t.co/P5oI6k4HjG’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1341017627746050049
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Szabelska, A., Pollet, T. V., Dujols, O., Klein, R. A., & IJzerman, H. (2021). A Tutorial for Exploratory Research: An Eight-Step Approach. PsyArXiv. https://doi.org/10.31234/osf.io/cy9mz
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- Feb 2021
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osf.io osf.io
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Armeni, Kristijan, Loek Brinkman, Rickard Carlsson, Anita Eerland, Rianne Fijten, Robin Fondberg, Vera Ellen Heininga, et al. ‘Towards Wide-Scale Adoption of Open Science Practices: The Role of Open Science Communities’. MetaArXiv, 6 October 2020. https://doi.org/10.31222/osf.io/7gct9.
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twitter.com twitter.com
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ReconfigBehSci. (2020, December 6). RT @statsepi: Lol ok. Https://t.co/eCPpU3Linv [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1335894181248643073
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the-turing-way.netlify.com the-turing-way.netlify.comWelcome1
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twitter.com twitter.com
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Dr Elaine Toomey on Twitter. (n.d.). Twitter. Retrieved 24 February 2021, from https://twitter.com/ElaineToomey1/status/1357343820417933316
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psyarxiv.com psyarxiv.com
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Aczel, Balazs, Marton Kovacs, and Rink Hoekstra. ‘The Role of Human Fallibility in Psychological Research: A Survey of Mistakes in Data Management’. PsyArXiv, 5 November 2020. https://doi.org/10.31234/osf.io/xcykz.
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crystalprisonzone.blogspot.com crystalprisonzone.blogspot.com
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Joe. (2021, January 26). Crystal Prison Zone: I tried to report scientific misconduct. How did it go? Crystal Prison Zone. http://crystalprisonzone.blogspot.com/2021/01/i-tried-to-report-scientific-misconduct.html
Tags
- forge
- self-correction
- correction
- table
- non-signficant
- significant
- unreliable
- test
- science
- data
- statistic
- outcome
- false
- scientific
- lang:en
- is:blog
- value
- result
- misconduct
Annotators
URL
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psyarxiv.com psyarxiv.com
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Perez Santangelo, A., & Solovey, G. (2020, November 9). Time to Shine: Reliable Response-Timing Using R-Shiny for Online Experiments. https://doi.org/10.31234/osf.io/nuxdg
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- Jan 2021
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covid-19.iza.org covid-19.iza.org
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Naudé. W., (2020). Artificial Intelligence against COVID-19: An Early Review. Institute of Labor Economics. Retrieved from: https://covid-19.iza.org/publications/dp13110/
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- Dec 2020
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twitter.com twitter.com
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A Marm Kilpatrick. (2020, December 8). FDA Pfizer/BioNTech vaccine efficacy results are great, but aren’t nearly as great as presented for severe infections. Everyone has seen fig below on cases in vaccine (blue) & placebo (red) over time. Thread. Https://t.co/vlZyZgJ7hr https://t.co/9ZWeWCko1x [Tweet]. @DiseaseEcology. https://twitter.com/DiseaseEcology/status/1336446195284070400
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- Oct 2020
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www.youtube.com www.youtube.com
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ORWG Virtual Meeting 08/09/2020 https://www.youtube.com/playlist?list=PLOA0aRJ90NxvXtMt5Si5ukmR9LYfvDueB (n.d.)
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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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outbreak.info outbreak.info
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Outbreak.info. (n.d.). Outbreak.Info. Retrieved October 25, 2020, from https://outbreak.info/
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www.coe.int www.coe.int
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AI and control of Covid-19 coronavirus. (n.d.). Artificial Intelligence. Retrieved October 15, 2020, from https://www.coe.int/en/web/artificial-intelligence/ai-and-control-of-covid-19-coronavirus
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www.reddit.com www.reddit.com
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r/BehSciResearch—Review on combatting the COVID misinformation flood. (n.d.). Reddit. Retrieved October 12, 2020, from https://www.reddit.com/r/BehSciResearch/comments/j9mrlp/review_on_combatting_the_covid_misinformation/
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www.theguardian.com www.theguardian.com
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Davis, N., & Boseley, S. (2020, October 9). Coronavirus: At least three-quarters of people in UK fail to self-isolate. The Guardian. https://www.theguardian.com/world/2020/oct/09/covid-in-england-latest-figures-suggest
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danmackinlay.name danmackinlay.name
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A statistician is the exact same thing as a data scientist or machine learning researcher with the differences that there are qualifications needed to be a statistician, and that we are snarkier.
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- Sep 2020
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www.youtube.com www.youtube.com
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Computational Social Science to Address the (Post) COVID-19 Reality. (2020, June 27). https://www.youtube.com/watch?v=7d-Dq0e1JJ0&list=PL9UNgBC7ODr6eZkwB6W0QSzpDs46E8WPN&index=4
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www.bmj.com www.bmj.com
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Thacker, P. D. (2020). A few tiny steps towards transparency: How the Sunshine Act shone light on industry’s influence in medicine. BMJ, 370. https://doi.org/10.1136/bmj.m3229
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www.thelancet.com www.thelancet.com
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Knawy, B. A., Adil, M., Crooks, G., Rhee, K., Bates, D., Jokhdar, H., Klag, M., Lee, U., Mokdad, A. H., Schaper, L., Hazme, R. A., Khathaami, A. M. A., & Abduljawad, J. (2020). The Riyadh Declaration: The role of digital health in fighting pandemics. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31978-4
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Nagaraj, A., Shears, E., & Vaan, M. de. (2020). Improving data access democratizes and diversifies science. Proceedings of the National Academy of Sciences, 117(38), 23490–23498. https://doi.org/10.1073/pnas.2001682117
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Obradovich, N., Özak, Ö., Martín, I., Ortuño-Ortín, I., Awad, E., Cebrián, M., Cuevas, R., Desmet, K., Rahwan, I., & Cuevas, Á. (2020). Expanding the measurement of culture with a sample of two billion humans [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/qkf42
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twitter.com twitter.com
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Adam Kucharski on Twitter. (n.d.). Twitter. Retrieved September 22, 2020, from https://twitter.com/AdamJKucharski/status/1307231588732764161
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twitter.com twitter.com
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Carl T. Bergstrom on Twitter. (n.d.). Twitter. Retrieved September 22, 2020, from https://twitter.com/CT_Bergstrom/status/1306995362368954369
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psycnet.apa.org psycnet.apa.org
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Moreau, D., & Gamble, B. (2020). Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations. Psychological Methods, No Pagination Specified-No Pagination Specified. https://doi.org/10.1037/met0000351
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psyarxiv.com psyarxiv.com
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Gollwitzer, M., Abele-Brehm, A., Fiebach, C., Ramthun, R., Scheel, A. M., Schönbrodt, F., & Steinberg, U. (2020). Data Management and Data Sharing in Psychological Science: Revision of the DGPs Recommendations. https://doi.org/10.31234/osf.io/24ncs
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conbio.onlinelibrary.wiley.com conbio.onlinelibrary.wiley.com
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Had it not been for the attentiveness of one person who went beyond the task of classifying galaxies into predetermined categories and was able to communicate this to the researchers via the online forum, what turned out to be important new phenomena might have gone undiscovered.
Sometimes our attempts to improve data quality in citizen science projects can actually work against us. Pre-determined categories and strict regulations could prevent the reporting of important outliers.
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dataforgood.fb.com dataforgood.fb.com
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COVID-19 Symptom Survey—Request for Data Access. (n.d.). Facebook Data for Good. Retrieved May 29, 2020, from https://dataforgood.fb.com/docs/covid-19-symptom-survey-request-for-data-access/
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- Aug 2020
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elifesciences.org elifesciences.org
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Welcome to a new ERA of reproducible publishing. (2020, August 24). ELife; eLife Sciences Publications Limited. https://elifesciences.org/labs/dc5acbde/welcome-to-a-new-era-of-reproducible-publishing
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advances.sciencemag.org advances.sciencemag.org
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Green, J., Edgerton, J., Naftel, D., Shoub, K., & Cranmer, S. J. (2020). Elusive consensus: Polarization in elite communication on the COVID-19 pandemic. Science Advances, eabc2717. https://doi.org/10.1126/sciadv.abc2717
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psyarxiv.com psyarxiv.com
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Moreau, D., & Gamble, B. (2020). Conducting a Meta-Analysis in the Age of Open Science: Tools, Tips, and Practical Recommendations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/t5dwg
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Qin. X. Yam. K. Xu. M. Zhang. H., (2020) The Increase in COVID-19 Cases is Associated with Domestic Violence. PsyArXiv Preprints. Retrieved from: https://psyarxiv.com/yfkdx/
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www.youtube.com www.youtube.comYouTube1
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Supporting Open Science Data Curation, Preservation, and Access by Libraries. (n.d.). Retrieved 24 August 2020, from https://www.youtube.com/watch?v=SbmGWHpzAHs
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www.biorxiv.org www.biorxiv.org
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Besançon, L., Peiffer-Smadja, N., Segalas, C., Jiang, H., Masuzzo, P., Smout, C., Deforet, M., & Leyrat, C. (2020). Open Science Saves Lives: Lessons from the COVID-19 Pandemic. BioRxiv, 2020.08.13.249847. https://doi.org/10.1101/2020.08.13.249847
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twitter.com twitter.com
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(19) ReconfigBehSci on Twitter: ‘RT @MaartenvSmeden: The lack of rapid sharing of COVID19 patient level data https://t.co/rmEGf6xRXj’ / Twitter. (n.d.). Twitter. Retrieved 17 August 2020, from https://twitter.com/SciBeh/status/1295264691162353665
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psyarxiv.com psyarxiv.com
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Speelman, C., & McGann, M. (2020). Statements about the Pervasiveness of Behaviour Require Data about the Pervasiveness of Behaviour [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/bxzm4
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Peterson, David, and Aaron Panofsky. ‘Metascience as a Scientific Social Movement’. Preprint. SocArXiv, 4 August 2020. https://doi.org/10.31235/osf.io/4dsqa.
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Collins, G. S., & Wilkinson, J. (n.d.). Statistical issues in the development a COVID-19 prediction models. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.26390
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journals.plos.org journals.plos.org
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Aleta, A., Arruda, G. F. de, & Moreno, Y. (2020). Data-driven contact structures: From homogeneous mixing to multilayer networks. PLOS Computational Biology, 16(7), e1008035. https://doi.org/10.1371/journal.pcbi.1008035
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- Jul 2020
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psyarxiv.com psyarxiv.com
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Litman. L,. Hartman. R., Jaffe. S., Robinson. J. (2020) County-level recruitment in online samples: Applications to COVID-19 and beyond. PsyArXiv Preprints. Retrieved from: https://psyarxiv.com/g3xw7/
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www.youtube.com www.youtube.com
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MCLS Virtual Brown Bag June 12, 2020: Bayesian Modelling. (2020, June 15). https://www.youtube.com/watch?v=7LLZPNLhn5o
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osf.io osf.io
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La, V.-P., Pham, T.-H., Ho, T. M., Hoàng, N. M., Linh, N. P. K., Vuong, T.-T., Nguyen, H.-K. T., Tran, T., Van Quy, K., Ho, T. M., & Vuong, Q.-H. (2020). Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/cfw8x
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science.sciencemag.org science.sciencemag.org
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Barton, C. M., Alberti, M., Ames, D., Atkinson, J.-A., Bales, J., Burke, E., Chen, M., Diallo, S. Y., Earn, D. J. D., Fath, B., Feng, Z., Gibbons, C., Hammond, R., Heffernan, J., Houser, H., Hovmand, P. S., Kopainsky, B., Mabry, P. L., Mair, C., … Tucker, G. (2020). Call for transparency of COVID-19 models. Science, 368(6490), 482.2-483. https://doi.org/10.1126/science.abb8637
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docs.google.com docs.google.com
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COVID-19 Social Science Tracker - Google Sheets
Tags
- preprint
- behavior
- COVID-19
- mental health
- healthcare
- community
- tracker
- medicine
- policy
- sheets
- social science
- research
- spreadsheet
- conspiracy theory
- social distancing
- data collection
- international
- uncertainty
- isolation
- is:other
- social media
- lang:en
- misinformation
- government
- infection
- unofficial
- social norm
- analysis
- publication
Annotators
URL
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Betsch, C. How behavioural science data helps mitigate the COVID-19 crisis. Nat Hum Behav (2020). https://doi.org/10.1038/s41562-020-0866-1
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Perrott, D. (2020, May 26). Is Applied Behavioural Science reaching a Local Maximum? Medium. https://medium.com/@DavePerrott/is-applied-behavioural-science-reaching-a-local-maximum-538b536f7e7d
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twitter.com twitter.com
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Maarten van Smeden on Twitter: “This is a kind reminder that most issues with data (e.g. measurement error, incomplete data, confounding, selection) do not disappear just because you have N = ginormous” / Twitter. (n.d.). Twitter. Retrieved July 19, 2020, from https://twitter.com/MaartenvSmeden/status/1283313496382373890
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www.nationalgeographic.com www.nationalgeographic.com
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How scientists know COVID-19 is way deadlier than the flu. (2020, July 2). Science. https://www.nationalgeographic.com/science/2020/07/coronavirus-deadlier-than-many-believed-infection-fatality-rate-cvd/
Tags
- USA
- concern
- case increase
- COVID-19
- is:news
- lang:en
- science
- clarity
- data analysis
- transmission
- potency
- lethality
- research
- epidemiology
- potential
Annotators
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twitter.com twitter.com
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ReconfigBehSci on Twitter: “brief video describing the https://t.co/zDXjvZFtkM initiative here: https://t.co/8rJEuDj7B4” / Twitter. (n.d.). Twitter. Retrieved July 5, 2020, from https://twitter.com/scibeh/status/1279123525916405762
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twitter.com twitter.com
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ReconfigBehSci on Twitter: “SciBeh now has a video describing our initative! watch, retweet.... https://t.co/j3TF3zfdIt” / Twitter. (n.d.). Twitter. Retrieved June 29, 2020, from https://twitter.com/scibeh/status/1277260447029362688
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www.youtube.com www.youtube.comYouTube1
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Supporting Open Science Data Curation, Preservation, and Access by Libraries. (2020, June 25). https://www.youtube.com/watch?v=SbmGWHpzAHs&feature=youtu.be
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twitter.com twitter.com
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Science Magazine on Twitter: “Democrats & Republicans have seemingly taken a divided stance on how to handle the #COVID19 pandemic, & their Twitter accounts might provide the best evidence to date. Watch the latest video from our #coronavirus series on research from @ScienceAdvances: https://t.co/BSCdWS011J https://t.co/sJyF357wje” / Twitter. (n.d.). Twitter. Retrieved June 27, 2020, from https://twitter.com/sciencemagazine/status/1276282194596675590
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Uribe-Tirado, A., del Rio, G., Raiher, S., & Ochoa Gutiérrez, J. (2020). Open Science since Covid-19: Open Access + Open Data [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/a5nqw
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www.sciencedirect.com www.sciencedirect.com
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Fontana, M., Iori, M., Montobbio, F., & Sinatra, R. (2020). New and atypical combinations: An assessment of novelty and interdisciplinarity. Research Policy, 49(7), 104063. https://doi.org/10.1016/j.respol.2020.104063
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Yamada, Y. (2020). Micropublishing during and after the COVID-19 era [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/8fum4
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psyarxiv.com psyarxiv.com
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Syed, M., & Donnellan, B. (2020). Registered Reports with Developmental and Secondary Data: Some Brief Observations and Introduction to the Special Issue [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/gnhxk
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zoom.us zoom.us
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Welcome! You are invited to join a webinar: Supporting Open Science Data Curation, Preservation, and Access by Libraries. After registering, you will receive a confirmation email about joining the webinar. (n.d.). Zoom Video. Retrieved June 28, 2020, from https://zoom.us/webinar/register/2615905946283/WN_W6dYUXQFTqGQjGAZPRB74w
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psyarxiv.com psyarxiv.com
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Cheung, M. W.-L. (2020). Meta-Analytic Structural Equation Modeling [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/epsqt
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theplosblog.plos.org theplosblog.plos.org
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Yeolekar, M. (2020, April 30). The Digital Migration: Lessons About Open Science Arising from the COVID19 Crisis. The Official PLOS Blog. https://theplosblog.plos.org/2020/04/the-digital-migration-lessons-about-open-science-arising-from-the-covid19-crisis/
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psyarxiv.com psyarxiv.com
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Antonakis, J., Bastardoz, N., & Jacquart, P. (2020). In praise of the impact factor [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/h4p9e
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www.the100.ci www.the100.ci
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Crisis research, fast and slow. (2020, March 26). The 100% CI. http://www.the100.ci/2020/03/26/crisis-research-fast-and-slow/
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twitter.com twitter.com
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Kazemi, D. (2020, May 23). "NPR is promoting this article again. Without access to the study we have no way of knowing how "bot" was estimated or measured, we simply have to go on the reputation and past research of this lab, which I dug into last night here: https://twitter.com/tinysubversion..." Twitter. https://twitter.com/tinysubversions/status/1263965246416318465
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psyarxiv.com psyarxiv.com
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Borsboom, D., Blanken, T., Dablander, F., Tanis, C., van Harreveld, F., & van Mieghem, P. (2020). BECON methodology [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/53ey9
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twitter.com twitter.com
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van Smeden, M. (2020, May 26). "RT @MaartenvSmeden: Often more than 300 COVID-19 related scientific articles published per day Data from @evidencelive." Twitter. https://twitter.com/SciBeh/status/1265657595307667457
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OSF Coronavirus Outbreak Research Collection
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www.cos.io www.cos.io
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Science, C. for O. (2020 May 5). TOP Factor to appear in Master Journal List. https://www.cos.io/about/news/cos-and-the-web-of-science-collaborate-to-bring-top-factor-to-master-journal-list
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www.bristol.ac.uk www.bristol.ac.uk
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UKRN position on covid 19 research. (2020 May 01). School of Psychological Science | University of Bristol. http://www.bristol.ac.uk/psychology/research/ukrn/news/2020/ukrn-position-on-covid-19-research.html
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featuredcontent.psychonomic.org featuredcontent.psychonomic.org
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Okan, Y. (2020, May 22). From a tweet to Reddit and beyond: The road to a global behavioral science SWAT team. Psychonomic Society Featured Content. https://featuredcontent.psychonomic.org/from-a-tweet-to-reddit-and-beyond-the-road-to-a-global-behavioral-science-swat-team/
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statmodeling.stat.columbia.edu statmodeling.stat.columbia.edu
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Retrieved June 10, 2020 from https://statmodeling.stat.columbia.edu/2020/05/12/2-perspectives-on-the-relevance-of-social-science-to-our-current-predicament-1-social-scientists-should-back-off-or-2-social-science-has-a-lot-to-offer/
Tags
- limitation
- COVID-19
- behavioral science
- lang:en
- relevance
- policy
- social science
- is:blog
- criticism
- role
- data analysis
- review
Annotators
URL
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Torres, L., Blevins, A. S., Bassett, D. S., & Eliassi-Rad, T. (2020). The why, how, and when of representations for complex systems. ArXiv:2006.02870 [Cs, q-Bio]. http://arxiv.org/abs/2006.02870
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www.statnews.com www.statnews.com
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says, J. C. (2020, June 4). Lancet, NEJM retract Covid-19 studies that sparked backlash. STAT. https://www.statnews.com/2020/06/04/lancet-retracts-major-covid-19-paper-that-raised-safety-concerns-about-malaria-drugs/
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psyarxiv.com psyarxiv.com
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Leplaa, H. J., Rietbergen, C., & Hoijtink, H. (2020). Bayesian evaluation of replication studies [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/49tbz
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featuredcontent.psychonomic.org featuredcontent.psychonomic.org
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Lewandowsky, S. (2020, June 1). A tale of two island nations: Lessons for crisis knowledge management. Psychonomic Society Featured Content. https://featuredcontent.psychonomic.org/a-tale-of-two-island-nations-lessons-for-crisis-knowledge-management/
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- May 2020
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Crchartier, ~. (2020, March 13). The PSA Calls for Rapid and Impactful Study Proposals on COVID-19. Psychological Science Accelerator. https://psysciacc.org/2020/03/13/the-psa-calls-for-rapid-and-impactful-study-proposals-on-covid-19/
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www.psychologicalscience.org www.psychologicalscience.org
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Social Scientists Scramble to Study Pandemic, In Real Time. (n.d.). Association for Psychological Science - APS. Retrieved April 20, 2020, from https://www.psychologicalscience.org/news/social-scientists-scramble-to-study-pandemic-in-real-time.html
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psyarxiv.com psyarxiv.com
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Peikert, A., & Brandmaier, A. M. (2019). A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker. https://doi.org/10.31234/osf.io/8xzqy
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www.nature.com www.nature.com
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Zdeborová, L. (2020). Understanding deep learning is also a job for physicists. Nature Physics, 1–3. https://doi.org/10.1038/s41567-020-0929-2
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twitter.com twitter.com
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Carl T. Bergstrom on Twitter
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leedsunilibrary.wordpress.com leedsunilibrary.wordpress.com
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The Ethics of Online Research. (2018, August 30). Leeds University Library Blog. https://leedsunilibrary.wordpress.com/2018/08/30/the-ethics-of-online-research/
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Borgonovi, F., & Pokropek, A. (2020). Can we rely on trust in science to beat the COVID-19 pandemic? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/yq287
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hypothes.is hypothes.is
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Register Today For Data Science Certification. Learn the Best Data Science Course from our Top Tutors. Study and Get A Certified Data Science Course. Enroll For Data Science Certification and Get 24/7 support and all time study Material. Land in your Dream Job by registering to this Course.
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www.annualreviews.org www.annualreviews.org
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Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621
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www.sciencedirect.com www.sciencedirect.com
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Lourenco, S. F., & Tasimi, A. (2020). No Participant Left Behind: Conducting Science During COVID-19. Trends in Cognitive Sciences, S1364661320301157. https://doi.org/10.1016/j.tics.2020.05.003
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bfi.uchicago.edu bfi.uchicago.edu
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Brzezinski, A., Kecht, V., Van Dijcke, D., Wright, A. (2020) Belief in Science Influences Physical Distancing in Response to COVID-19 Lockdown Policies. BFI. https://bfi.uchicago.edu/working-paper/belief-in-science-influences-physical-distancing-in-response-to-covid-19-lockdown-policies/
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science-sciencemag-org.ezproxy.redlands.edu science-sciencemag-org.ezproxy.redlands.edu
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Aspesi, C., & Brand, A. (2020). In pursuit of open science, open access is not enough. Science, 368(6491), 574–577. https://doi.org/10.1126/science.aba3763
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www.medrxiv.org www.medrxiv.org
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Modi, C., Boehm, V., Ferraro, S., Stein, G., & Seljak, U. (2020). Total COVID-19 Mortality in Italy: Excess Mortality and Age Dependence through Time-Series Analysis. MedRxiv, 2020.04.15.20067074. https://doi.org/10.1101/2020.04.15.20067074
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Van den Akker, O., Weston, S. J., Campbell, L., Chopik, W. J., Damian, R. I., Davis-Kean, P., Hall, A. N., Kosie, J. E., Kruse, E. T., Olsen, J., Ritchie, S. J., Valentine, K. D., van ’t Veer, A. E., & Bakker, M. (2019). Preregistration of secondary data analysis: A template and tutorial [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/hvfmr
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- Apr 2020
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psyarxiv.com psyarxiv.com
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Beitner, J., Brod, G., Gagl, B., Kraft, D., & Schultze, M. (2020, April 23). Offene Wissenschaft in der Zeit von Covid-19 – Eine Blaupause für die psychologische Forschung?. https://doi.org/10.31234/osf.io/sh8xg
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Wang, T., Chen, X., Zhang, Q., & Jin, X. (2020, April 26). Use of Internet data to track Chinese behavior and interest in COVID-19. https://doi.org/10.31234/osf.io/j6m8q
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sciencebusiness.net sciencebusiness.net
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University of Amsterdam scientists launch website that seeks ideal COVID-19 exit strategy. (2020 April 21) Science|Business. https://sciencebusiness.net/network-updates/university-amsterdam-scientists-launch-website-seeks-ideal-covid-19-exit-strategy
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Wojcik, S., et al. (2020 March 30). Survey data and human computation for improved flu tracking. Cornell University. arXiv:2003.13822
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