- May 2024
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files.eric.ed.gov files.eric.ed.gov
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There is a lot of modeling that goes on especially at the beginning. Meaning that, I respond a lot inopening discussions and the reason is because it sets the tone. The students take over after that. Ifyou sit back in those first two discussions, that also sets the tone,
Setting the tone of discussions early
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- Mar 2024
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armorpaint.org armorpaint.org
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- Jan 2024
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www.derstandard.de www.derstandard.de
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Das Ziel der CO<sub>2</sub>-Neutralität bis 2040 kann in Österreich mit unterschiedlich Strategien erreicht werden, wir zwei Studien des Grazer Wegener Centers und der WU Wien ergeben. Dazu wurden drei Szenarien entwickelt, von denen eines vor allen auf Technologie, eines auf Kreislaufwirtschaft und eines auf JustTransition setzt. Am teuersten wäre das Technologie-orientierte Szenario. https://www.derstandard.de/story/3000000205462/drei-wege-f252hren-214sterreich-zur-netto-null-bei-den-treibhausgasen
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- Dec 2023
- Nov 2023
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thatsthenorm.com thatsthenorm.com
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Live-Roaming: Using Roam to teach students in college
I'd listened to this whole episode sometime since 2022-04-05, but didn't put it in my notes.
Mark Robertson delineates how he actively models the use of his note taking practice (using Roam Research) while teaching/lecturing in the classroom. This sort of modeling can be useful for showing students how academics read, gather, and actively use their knowledge. It does miss the portion about using the knowledge to create papers, articles, books, etc., but the use of this mode of reading and notes within a discussion setting isn't terribly different.
Use of the system for conversation/discussion with the authors of various texts as you read, with your (past) self as you consult your own notes, or your students in classroom lectures/discussion sections is close to creating your own discussion for new audiences (by way of the work your write yourself.)
https://www.buzzsprout.com/1194506/4875515-mark-robertson-history-socratic-dialogue-live-roaming.mp3
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- Aug 2023
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www.fharrell.com www.fharrell.com
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Under compound symmetry there is a limit to the information added by additional observations per subject, whereas for AR(1) there is no limit.
This makes sense because under compound symetry, every measurement within a cluster is correlated in the same way with all other measurements. Therefore, adding another observation within cluster provides less information as the number of within cluster samples approaches infinity.
However, when we have an auto regressive correlation structur, the further apart the time point, the less correlation there is between samples which means the sample tends toward zero.
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This induces a certain correlation structure within subject: the compound symmetric correlation structure.
The random intercept model induces a symetric correlation structure that leads to the idea that the measurements within subject are exchange able.
A random intercept model assumes that the correlation between any two measurements on the same subject is unrelated to the time gap between the two measurements.
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- Jul 2023
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The representation of objects in terms of XML elements and attributes.
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- May 2023
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spatialwebfoundation.org spatialwebfoundation.org
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www.amazon.com www.amazon.com
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While I'm reading Doughnut Economics, it's interesting to contemplate the images on common economics textbooks as an indicator of how the authors/publishers think about the models of the information inside them.
Some broad ideas represented here: - bustling people (consumers) walking over curvy 3D graph grids - greenish abstract cover (representing the green idea of money) - a compass rose (indicating finding one's direction; on a book about managerial economics and business strategy) - a globe of the world with a colorful infographic heat map - a bunch of blue and silver metal balls connected in a network-like configuration - a montage of images of numbers (credit card numbers, numbers on money, a ticker with stock prices, etc.) - a solar panel with blue sky and clouds in the background - blue sky with white fluffy clouds (indicating what, exactly?) - an ipad with an image of a busy street in the 1800s held up as if taking a photo of the same street today - puzzle pieces being put together with an image of people exchanging money at a farmer's market - abstract grid of a map outline of the Americas
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- Apr 2023
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suchaone.github.io suchaone.github.io
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a collection of autonomous agents
Agent Based Modeling
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- Feb 2023
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www.reddit.com www.reddit.com
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First, I am a big fan of Chris’ posts. He is our best historian. Second, I did not challenge his ideas but asked for clarification about some terms which I believe are of general interest. Chris is well-positioned to answer my questions. Third, statistical mechanics is more about microscopic systems that do not evolve. As we know, ideas (from concepts to theories) evolve and generally emerge from previous ideas. Emergence is the key concept here. I suggested Phenomics as a potential metaphor because it represents well the emergence of some systems (phenotypes) from pre-existing ones (genotypes).
reply to u/New-Investigator-623 at https://www.reddit.com/r/antinet/comments/10r6uwp/comment/j6wy4mf/?utm_source=reddit&utm_medium=web2x&context=3
Ideas, concepts, propositions, et al. in this context are just the nebulous dictionary definitions. Their roots and modern usage have so much baggage now that attempting to separate them into more technical meanings is difficult unless you've got a solid reason to do so. I certainly don't here. If you want to go down some of the rabbit hole on the differences, you might appreciate Winston Perez' work on concept modeling which he outlines with respect to innovation and creativity here: https://www.youtube.com/watch?v=gGQ-dW7yfPc.
I debated on a more basic framing of chemistry or microbiology versus statistical mechanics or even the closely related statistical thermodynamics, but for the analogy here, I think it works even if it may scare some off as "too hard". With about 20 linear feet of books in my library dedicated to biology, physics, math, engineering with a lot of direct focus on evolutionary theory, complexity theory, and information theory I would suggest that the underlying physics of statistical mechanics and related thermodynamics is precisely what allows the conditions for systems to evolve and emerge, for this is exactly what biological (and other) systems have done. For those intrigued, perhaps Stuart Kauffman's Origins of Order (if you're technically minded) or At Home in the Universe (if you're less technically oriented) are interesting with respect to complexity and emergence. There's also an interesting similar analogy to be made between a zettelkasten system and the systems described in Peter Hoffman's book Life's Rachet. I think that if carefully circumscribed, one could define a zettelkasten to be "alive". That's a bigger thesis for another time. I was also trying to stay away from the broad idea of "atomic" and drawing attention to "atomic notes" as a concept. I'm still waiting for some bright physicist to talk about sub-atomic notes and what that might mean... I see where you're going with phenomics, but chemistry and statistical mechanics were already further afield than the intended audience who already have issues with "The Two Cultures". Getting into phenomics was just a bridge too far... not to mention, vastly more difficult to attempt to draw(!!!). 😉 Besides, I didn't want Carol Greider dropping into my DMs asking me why didn't I include telomeres or chancing an uncomfortable LAX-BWI flight and a train/cab ride into Baltimore with Peter Agre who's popped up next to me on more than one occasion.
Honestly, I was much less satisfied with the nebulousness of "solution of life"... fortunately no one seems to be complaining about that or their inability to grapple with catalysis. 🤷🏼
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- Jan 2023
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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
Tags
- abolitionists
- invisible labor
- dodging the memory hole
- emotional labor
- power frameworks
- intersectional feminism
- orality vs. literacy
- watch
- data science
- Lauren F. Klein
- topic modeling
- defunding police
- slavery
- operationalization
- algorithms
- Catherine D'Ignazio
- aspirational abolitionism
- Data Feminism
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ncase.me ncase.me
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An interesting interactive model for segregation here. See also https://www.bloomberg.com/news/articles/2014-12-10/an-immersive-game-shows-how-easily-segregation-arises-and-how-we-might-fix-it for press coverage.
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- Nov 2022
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www.prisma.io www.prisma.io
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with Prisma you never create application models in your programming language by manually defining classes, interfaces, or structs. Instead, the application models are defined in your Prisma schema
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- Aug 2022
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psyarxiv.com psyarxiv.com
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Zhao, W. J., Coady, A., & Bhatia, S. (2021). Computational mechanisms for context-based behavioral interventions: A large-scale analysis. PsyArXiv. https://doi.org/10.31234/osf.io/8cyad
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www.upekkha.io www.upekkha.io
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If you’re VC funded, then you “need” to spend the money you raised in 18–24 months, and grow 3–5X in that time, which means a base rate of 10+% MoM
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Successful SaaS startups grow their MRR at a rate between 10% and 25% monthly growth rate (MoM). You can use these benchmarks as sanity checks for your model but don’t use these numbers to project your growth
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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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psyarxiv.com psyarxiv.com
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Buder, J., Zimmermann, A., Buttliere, B., Rabl, L., & Huff, M. (2022, January 14). Online interaction turns the congeniality bias into an uncongeniality bias. https://doi.org/10.31234/osf.io/r87bm
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- Apr 2022
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Seeing examples of outstanding work motivates students by givingthem a vision of the possible. How can we expect students to produce first-ratework, he asks, when they have no idea what first-rate work looks like?
Showing students examples of work and processes that they can imitate will fuel their imaginations and capabilities rather than stifle them.
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crucial difference between traditional apprenticeships and modern schooling: inthe former, “learners can see the processes of work,” while in the latter, “theprocesses of thinking are often invisible to both the students and the teacher.”Collins and his coauthors identified four features of apprenticeship that could beadapted to the demands of knowledge work: modeling, or demonstrating the taskwhile explaining it aloud; scaffolding, or structuring an opportunity for thelearner to try the task herself; fading, or gradually withdrawing guidance as thelearner becomes more proficient; and coaching, or helping the learner throughdifficulties along the way.
This is what’s known as a cognitive apprenticeship, a term coined by Allan Collins, now a professor emeritus of education at Northwestern University. In a 1991 article written with John Seely Brown and Ann Holum, Collins noted a
In a traditional apprenticeship, a learner watches and is able to imitate the master process and work. In a cognitive apprenticeship the process of thinking is generally invisible to both the apprentice and the teacher. The problem becomes how to make the thinking processes more tangible and visible to the learner.
Allan Collins, John Seely Brown, and Ann Holum identified four pedagogical methods in apprenticeships that can also be applied to cognitive apprenticeships: - modeling: demonstrating a task while focusing on describing and explaining the steps and general thinking about the problem out loud - scaffolding: structuring a task to encourage and allow the learner the ability to try it themself - fading: as the learner gains facility and confidence in the process, gradually removing the teacher's guidance - coaching: as necessary, the teacher provides tips and suggestions to the learner to prompt them through potential difficulties
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www.abc.net.au www.abc.net.au
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Just 1 per cent of eligible Canberrans are unvaccinated as the capital becomes one of world’s most-vaccinated cities. (2021, December 30). ABC News. https://www.abc.net.au/news/2021-12-31/covid-canberras-unvaccinated-1-per-cent-in-a-highly-vaxxed-city/100642468
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twitter.com twitter.com
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James 💙 Neill - 😷 🇪🇺🇮🇪🇬🇧🔶. (2021, December 31). Latest Covid primary diagnosis supplement data, by region. London? #Omicron is #NotMild https://england.nhs.uk/statistics/statistical-work-areas/covid-19-hospital-activity/ https://t.co/gUBo7sTZT5 [Tweet]. @jneill. https://twitter.com/jneill/status/1476856305411366930
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twitter.com twitter.com
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Bob Wachter. (2022, January 3). WAY too soon to be sure (especially w/ potential spread over holidays), but we are seeing a plateau @UCSFHospitals in hospitalizations (Fig L) & test positivity (both symptomatic & asymptomatic; R). Next few days will be key. Until we see sharp downturn, I’m in uber-careful mode. Https://t.co/BWIpTQI4gM [Tweet]. @Bob_Wachter. https://twitter.com/Bob_Wachter/status/1477804044756213762
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- Mar 2022
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Social Media Conversations in Support of Herd Immunity are Driven by Bots. (n.d.). Federation Of American Scientists. Retrieved March 31, 2022, from https://fas.org/blogs/fas/2020/10/social-media-conversations-in-support-of-herd-immunity-are-driven-by-bots/
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- inorganic activity
- modeling
- transmission
- social media
- conversation
- artificial account
- misinformation
- one-sided automation
- bot
- COVID-19
- is:article
- online misinformation
- lang:en
- herd immunity
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fas.org/blogs/fas/2020/10/social-media-conversations-in-support-of-herd-immunity-are-driven-by-bots/ -
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twitter.com twitter.com
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Eric Topol. (2022, February 28). The Omicron crisis in Hong Kong. This is a graph of fatalities, not cases @OurWorldInData https://t.co/JbZCM3SNUq [Tweet]. @EricTopol. https://twitter.com/EricTopol/status/1498327329096933381
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www.nature.com www.nature.com
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Adam, D. (2022). COVID’s true death toll: Much higher than official records. Nature, 603(7902), 562–562. https://doi.org/10.1038/d41586-022-00708-0
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psyarxiv.com psyarxiv.com
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Nicastri, C., & Kumar, P. (2022, February 11). Psychosocial, economic, and mental health predictors of COVID-19 vaccine intent. https://doi.org/10.31234/osf.io/snrgf
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twitter.com twitter.com
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ReconfigBehSci. (2022, February 2). RT @AndreasShrugged: Meta-shmeta analysis. They claim they find that lockdowns reduced mortality in Europe and U.S. only by 0.2%. After bro… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1489499513219911686
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cov-lineages.org cov-lineages.org
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ReconfigBehSci. (2022, February 20). RT @Gemma_clark14: Great video of @dgurdasani1 discussing the Covid stats and the effect on children #LongCovidKids https://t.co/T8t4G3Rfpw [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1495705778044510214
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twitter.com twitter.com
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Shelly Miller, PhD. (2020, December 8). And here is an example calculation showing the difference in indoor virus concentrations with 3 vs. 6 ACH room ventilation when a person shedding the virus hangs out for an hour in that space https://t.co/p7M3boIh2w [Tweet]. @ShellyMBoulder. https://twitter.com/ShellyMBoulder/status/1336410448342736899
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journals.sagepub.com journals.sagepub.com
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Model 1
HLM modeling
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- Feb 2022
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Mallapaty, S. (2022). How sneezing hamsters sparked a COVID outbreak in Hong Kong. Nature. https://doi.org/10.1038/d41586-022-00322-0
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twitter.com twitter.com
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Adam Kucharski. (2022, January 18). Below analysis was two years ago (https://bbc.co.uk/news/health-51148303). As well as providing an early warning about the COVID threat, it’s a good illustration of what is often an under-appreciated point: If we want to make sense of epidemic data and dynamics in real-time, we need models… 1/ https://t.co/ZdpzOq3Bzp [Tweet]. @AdamJKucharski. https://twitter.com/AdamJKucharski/status/1483368504392880128
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twitter.com twitter.com
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Yaniv Erlich on Twitter. (n.d.). Twitter. Retrieved February 8, 2022, from https://twitter.com/erlichya/status/1482847821397176325
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twitter.com twitter.com
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Carl T. Bergstrom. (2022, January 8). 1. A thread on the CDC’s recommendation to de-isolate five days after the onset of symptoms or positive test. First, a disclosure: I was paid as a consultant for this work, done in collaboration with @Color Health, which provides COVID testing services and vaccination logistics. [Tweet]. @CT_Bergstrom. https://twitter.com/CT_Bergstrom/status/1479938654579544065
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www.joinexpeditions.com www.joinexpeditions.com
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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
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www.nature.com www.nature.com
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Adam, D. (2022). Will Omicron end the pandemic? Here’s what experts say. Nature, 602(7895), 20–21. https://doi.org/10.1038/d41586-022-00210-7
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- Jan 2022
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virologydownunder.com virologydownunder.com
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Mackay, A. I. M. & PhD. (2022, January 29). Thank goodness we did all the work. Virology Down Under. https://virologydownunder.com/thank-goodness-we-did-all-the-work/
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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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Theo Sanderson. (2022, January 5). Version with fewer ages and the CIs plotted: Https://t.co/WI2dA231xM [Tweet]. @theosanderson. https://twitter.com/theosanderson/status/1478740695041073152
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twitter.com twitter.com
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Prof. Debby Bogaert 💙. (2021, December 20). @chrischirp NL is slightly behind the UK re #omicron and based lockdown on a.o. This model (source @MarionKoopmans). Despite uncertainty the ‘continue as is’ effect on ICU beds occupied (red) is chilling. Green model is with lockdown after and blue is before Christmas. Decisiveness matters! Https://t.co/2IODZGnNJ6 [Tweet]. @DebbyBogaert. https://twitter.com/DebbyBogaert/status/1472845880411758592
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www.msn.com www.msn.com
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Covid’s evolution: ‘With each passing wave, we’ve seen greater transmissibility.’ (n.d.). MSN. Retrieved January 15, 2022, from https://www.msn.com/en-us/news/us/covid-s-evolution-with-each-passing-wave-we-ve-seen-greater-transmissibility/vi-AARYwCn
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twitter.com twitter.com
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Anthony J Leonardi, PhD, MS. (2021, December 28). What you guys keep saying for coronavirus immunity versus what keeps happening https://t.co/KdMuJrTNbO [Tweet]. @fitterhappierAJ. https://twitter.com/fitterhappierAJ/status/1475922603109978125
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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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twitter.com twitter.com
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Helen Branswell. (2022, January 11). 1. #Omicron’s takeover was stunningly rapid and is now nearly complete, at least in the U.S. The latest “Nowcast” from @CDCgov (which uses recent data to model what’s happen now) suggests most of what is circulating here now is omicron. Https://t.co/6w3e8Ut5NW [Tweet]. @HelenBranswell. https://twitter.com/HelenBranswell/status/1480970453313277954
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www.theguardian.com www.theguardian.com
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Sample, I., & editor, I. S. S. (2022, January 13). Covid isolation to be cut to five full days in England, says Sajid Javid. The Guardian. https://www.theguardian.com/world/2022/jan/13/covid-isolation-to-be-cut-to-five-full-days-in-england-says-sajid-javid
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www.washingtonpost.com www.washingtonpost.com
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U.S. breaks record with more than 145,000 covid-19 hospitalizations. (n.d.). Washington Post. Retrieved January 12, 2022, from https://www.washingtonpost.com/health/2022/01/10/covid-hospitalized-omicron/
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bpspsychub.onlinelibrary.wiley.com bpspsychub.onlinelibrary.wiley.com
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Frenzel, S. B., Junker, N. M., Avanzi, L., Bolatov, A., Haslam, S. A., Häusser, J. A., Kark, R., Meyer, I., Mojzisch, A., Monzani, L., Reicher, S., Samekin, A., Schury, V. A., Steffens, N. K., Sultanova, L., Van Dijk, D., van Zyl, L. E., & Van Dick, R. (2022). A trouble shared is a trouble halved: The role of family identification and identification with humankind in well-being during the COVID-19 pandemic. British Journal of Social Psychology, 61(1), 55–82. https://doi.org/10.1111/bjso.12470
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inews.co.uk inews.co.uk
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Omicron peak could be “long and drawn out”, Sage scientists warn as pressure mounts on NHS. (2022, January 3). Inews.Co.Uk. https://inews.co.uk/news/politics/omicron-covid-variant-uk-peak-long-drawn-out-sage-scientists-warning-nhs-1380110
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www.theguardian.com www.theguardian.com
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Davis, N., & correspondent, N. D. S. (2021, December 31). What do we know about the Omicron Covid variant so far? The Guardian. https://www.theguardian.com/world/2021/dec/31/what-do-we-know-about-the-omicron-covid-variant-so-far
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www.medrxiv.org www.medrxiv.org
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Keeling, M. J., Brooks-Pollock, E., Challen, R. J., Danon, L., Dyson, L., Gog, J. R., Guzman-Rincon, L., Hill, E. M., Pellis, L. M., Read, J. M., & Tildesley, M. (2021). Short-term Projections based on Early Omicron Variant Dynamics in England. (p. 2021.12.30.21268307). https://doi.org/10.1101/2021.12.30.21268307
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- Dec 2021
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Sundaram-Stukel, R., Williams, N., & Davidson, R. J. (2021). Economic and Emotional Perceptions During and After COVID19. PsyArXiv. https://doi.org/10.31234/osf.io/zvrdj
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learn-us-east-1-prod-fleet01-xythos.content.blackboardcdn.com learn-us-east-1-prod-fleet01-xythos.content.blackboardcdn.com
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Hobbes and Rousseau told their contemporaries things that werestartling, profound and opened new doors of the imagination. Nowtheir ideas are just tired common sense. There’s nothing in them thatjustifies the continued simplification of human affairs. If socialscientists today continue to reduce past generations to simplistic,two-dimensional caricatures, it is not so much to show us anythingoriginal, but just because they feel that’s what social scientists areexpected to do so as to appear ‘scientific’. The actual result is toimpoverish history – and as a consequence, to impoverish our senseof possibility.
The simplification required to make models and study systems can be a useful tool, but one constantly needs to go back to the actual system to make sure that future predictions and work actually fit the real world system.
Too often social theorists make assumptions which aren't supported in real life and this can be a painfully dangerous practice, especially when those assumptions are built upon in ways that put those theories out on a proverbial creaking limb.
This idea is related to the bias that Charles Mathewes points out about how we treat writers as still living or as if they never lived. see: https://hypothes.is/a/VTU2lFvZEeyiJ2tN76i4sA
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Now, we should be clear here: social theory always, necessarily,involves a bit of simplification. For instance, almost any humanaction might be said to have a political aspect, an economic aspect,a psychosexual aspect and so forth. Social theory is largely a gameof make-believe in which we pretend, just for the sake of argument,that there’s just one thing going on: essentially, we reduce everythingto a cartoon so as to be able to detect patterns that would beotherwise invisible. As a result, all real progress in social science hasbeen rooted in the courage to say things that are, in the finalanalysis, slightly ridiculous: the work of Karl Marx, Sigmund Freud orClaude Lévi-Strauss being only particularly salient cases in point.One must simplify the world to discover something new about it. Theproblem comes when, long after the discovery has been made,people continue to simplify.
revisit this... it's an important point, particularly when looking at complex ideas with potentially emergent properties
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www.nature.com www.nature.com
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Sefik, E., Israelow, B., Mirza, H., Zhao, J., Qu, R., Kaffe, E., Song, E., Halene, S., Meffre, E., Kluger, Y., Nussenzweig, M., Wilen, C. B., Iwasaki, A., & Flavell, R. A. (2021). A humanized mouse model of chronic COVID-19. Nature Biotechnology, 1–15. https://doi.org/10.1038/s41587-021-01155-4
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www.imperial.ac.uk www.imperial.ac.uk
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Omicron largely evades immunity from past infection or two vaccine doses | Imperial News | Imperial College London. (n.d.). Imperial News. Retrieved December 21, 2021, from https://www.imperial.ac.uk/news/232698/modelling-suggests-rapid-spread-omicron-england/
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scitechdaily.com scitechdaily.com
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Zewe, A., & Technology, M. I. of. (2021, December 19). MIT Scientists Find Clues to Why Fake News Snowballs on Social Media. SciTechDaily. https://scitechdaily.com/mit-scientists-find-clues-to-why-fake-news-snowballs-on-social-media/
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twitter.com twitter.com
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Acme Birch Beer. (2021, December 13). A long thread on @NYTimes/@washingtonpost/@TheAtlantic’s favorite prediction-making expert, Monica Gandhi. Feb 22, 2021: “I need to say variants, shmariants, okay? I’m sorry, I don’t know what kind of trouble that’s going to get me in...” https://t.co/CwQL6QBG78 [Tweet]. @KindAndUnblind. https://twitter.com/KindAndUnblind/status/1470389931679883268
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www.theguardian.com www.theguardian.com
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Boffey, D. (2021, December 15). Omicron likely to accelerate death toll in Europe, says health agency. The Guardian. https://www.theguardian.com/world/2021/dec/15/omicron-covid-likely-accelerate-death-rate-europe-eu-health-agency
Tags
- transmissibility
- is:news
- EU
- modeling
- hospitalization
- Christmas
- mortality
- scientific advice
- government
- COVID-19
- restrictions
- forecasting
- prevention
- mask wearing
- lang:en
- risk assessment
- South Africa
- death toll
- severity
- Omicron
- protection
- variant
- VOC
- Europe
- delta
Annotators
URL
theguardian.com/world/2021/dec/15/omicron-covid-likely-accelerate-death-rate-europe-eu-health-agency -
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Covid: UK reports highest daily cases since the pandemic began. (2021, December 15). BBC News. https://www.bbc.com/news/uk-59673150
Tags
- is:news
- modeling
- hospitalization
- Christmas
- covid pass
- education
- data
- epidemic
- government
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- UK
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Annotators
URL
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www.abc.net.au www.abc.net.au
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NSW could have 25,000 COVID-19 cases per day by next month, modelling suggests. (2021, December 14). ABC News. https://www.abc.net.au/news/2021-12-15/nsw-covid-19-infections-reach-three-month-high-1360-new-cases/100700866
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www.medrxiv.org www.medrxiv.org
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Colosi, E., Bassignana, G., Contreras, D. A., Poirier, C., Boëlle, P.-Y., Cauchemez, S., Yazdanpanah, Y., Lina, B., Fontanet, A., Barrat, A., & Colizza, V. (2021). Screening and vaccination against COVID-19 to minimize school closure (p. 2021.08.15.21261243). https://doi.org/10.1101/2021.08.15.21261243
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www.sciencedirect.com www.sciencedirect.com
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Rahal, R.-M., & Fiedler, S. (2021). Cognitive and Affective Processes of Prosociality. Current Opinion in Psychology. https://doi.org/10.1016/j.copsyc.2021.10.007
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Wu, L., Kittur, A., Youn, H., Milojević, S., Leahey, E., Fiore, S. M., & Ahn, Y. Y. (2021). Metrics and Mechanisms: Measuring the Unmeasurable in the Science of Science. ArXiv:2111.07250 [Physics]. http://arxiv.org/abs/2111.07250
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Mahase, E. (2021). Covid-19: Do vaccines work against omicron—and other questions answered. BMJ, 375, n3062. https://doi.org/10.1136/bmj.n3062
Tags
- transmissibility
- epidemiology
- EU
- data
- research
- antiviral
- booster
- mask wearing
- South Africa
- travel ban
- response
- variant
- reinfection
- delta
- vaccine
- modeling
- hospitalization
- infection rate
- PCR
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- COVID-19
- is:article
- risk
- lang:en
- severity
- antibody
- testing
- work from home
- Omicron
- UK
- Africa
- mutation
- Europe
- domestic measures
- treatment
- detection
Annotators
URL
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www.pnas.org www.pnas.org
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Bagheri, G., Thiede, B., Hejazi, B., Schlenczek, O., & Bodenschatz, E. (2021). An upper bound on one-to-one exposure to infectious human respiratory particles. Proceedings of the National Academy of Sciences, 118(49). https://doi.org/10.1073/pnas.2110117118
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allendowney.github.io allendowney.github.io
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Annotators
URL
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Cotterill, J. (2021, November 26). South African anger over ‘rushed’ Covid travel restrictions. Financial Times. https://www.ft.com/content/6a177732-4faf-4ecb-adc1-667c22248e0f
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twitter.com twitter.com
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Art Poon. (2021, November 28). Our first https://filogeneti.ca/CoVizu update with B.1.1.529. As expected, number of mutations is well over molecular clock prediction (~13 diffs). Relatively low numbers of identical genomes implies large number of unsampled infections. We update every two days from GISAID. https://t.co/m8w2CjL1c0 [Tweet]. @art_poon. https://twitter.com/art_poon/status/1465001066194481162
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Tang, J.-L., & Abbasi, K. (2021). What can the world learn from China’s response to covid-19? BMJ, 375, n2806. https://doi.org/10.1136/bmj.n2806
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psyarxiv.com psyarxiv.com
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Tunç, D. U., Tunç, M. N., & Eper, Z. B. (2021). Is Open Science Neoliberal? PsyArXiv. https://doi.org/10.31234/osf.io/ft8dc
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- Nov 2021
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www.medrxiv.org www.medrxiv.org
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Gozzi, N., Chinazzi, M., Davis, J. T., Mu, K., Piontti, A. P. y, Ajelli, M., Perra, N., & Vespignani, A. (2021). Anatomy of the first six months of COVID-19 Vaccination Campaign in Italy (p. 2021.11.24.21266820). https://doi.org/10.1101/2021.11.24.21266820
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link.aps.org link.aps.org
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Kumar, A., Chowdhary, S., Capraro, V., & Perc, M. (2021). Evolution of honesty in higher-order social networks. Physical Review E, 104(5), 054308. https://doi.org/10.1103/PhysRevE.104.054308
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Castle, S., & Landler, M. (2021, November 24). A Claim of Herd Immunity Reignites Debate Over U.K. Covid Policy. The New York Times. https://www.nytimes.com/2021/11/24/world/europe/uk-virus-herd-immunity.html
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twitter.com twitter.com
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Jeffrey Barrett. (2021, October 19). Proportion of AY.4.2 (now on http://covid19.sanger.ac.uk) has been steadily increasing in England, which is a pattern that is quite different from other AY lineages. Several of them rose when there was still Alpha to displace, but none has had a consistent advantage vs other Delta. Https://t.co/mD5gQzKxgV [Tweet]. @jcbarret. https://twitter.com/jcbarret/status/1450408485829718039
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twitter.com twitter.com
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Prof. Christina Pagel. (2021, November 3). Good @NatGeo article by @Ecquis on the growing AY.4.2 variant in the UK with lots of great experts explaining it. And a little bit of me too! At its current growth rate, it will probably become dominant in UK by the end of the year. Https://t.co/X9O9kbew2L [Tweet]. @chrischirp. https://twitter.com/chrischirp/status/1455899379475361795
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socialsciences.nature.com socialsciences.nature.com
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Portfolio, B. and S. S. at N. (2021, November 3). No evidence school closures reduce the spread of COVID-19. Behavioural and Social Sciences at Nature Portfolio. http://socialsciences.nature.com/posts/no-evidence-school-closures-reduce-the-spread-of-covid-19
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www.nature.com www.nature.com
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Cauchemez, S., & Bosetti, P. (2021). A reconstruction of early cryptic COVID spread. Nature. https://doi.org/10.1038/d41586-021-02989-3
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www.theguardian.com www.theguardian.com
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Spiegelhalter, D., & Masters, A. (2021, November 7). We can be confident there have been far more than 5 million global Covid deaths. The Guardian. https://www.theguardian.com/theobserver/commentisfree/2021/nov/07/we-can-be-confident-there-have-been-far-more-than-5-million-covid-deaths
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twitter.com twitter.com
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Henk-Jan Westeneng on Twitter. (n.d.). Twitter. Retrieved November 2, 2021, from https://twitter.com/HJWesteneng/status/1455304431038308352 i
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blog.viktomas.com blog.viktomas.com
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I watched Christian from Zettelkasten.de taking notes from a book. He’s a professional note-taker, and it still took him two hours to take four notes in the first video - it does take forever to make good permanent notes.
An example of someone taking notes in public to model the process. Also an example of the time it takes to make notes.
Has Dan Allosso (@danallosso) done something along these lines as an example on his YouTube channel?
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docdrop.org docdrop.org
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was common among early modern authorsW and the notion of the merXchant as a model to imitate persisted through changes to new techniquesY
References to the merchant’s two notebooks as a model for student note taking was common among early modern authors, and the notion of the merchant as a model to imitate persisted through changes to new techniques.
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- Oct 2021
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www.theguardian.com www.theguardian.com
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Why people believe Covid conspiracy theories: Could folklore hold the answer? | Coronavirus | The Guardian. (n.d.). Retrieved October 26, 2021, from https://www.theguardian.com/world/ng-interactive/2021/oct/26/why-people-believe-covid-conspiracy-theories-could-folklore-hold-the-answer
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arxiv.org arxiv.org
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Illari, L., Restrepo, N. J., Leahy, R., Velasquez, N., Lupu, Y., & Johnson, N. F. (2021). Losing the battle over best-science guidance early in a crisis: Covid-19 and beyond. ArXiv:2110.09634 [Nlin, Physics:Physics]. http://arxiv.org/abs/2110.09634
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unherd.com unherd.com
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The men who failed Britain—UnHerd. (n.d.). Retrieved October 14, 2021, from https://unherd.com/2021/10/the-men-who-failed-britain/
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www.theguardian.com www.theguardian.com
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‘A bit of a mystery’: Why hospital admissions for Covid in England are going down | Coronavirus | The Guardian. (n.d.). Retrieved 8 October 2021, from https://www.theguardian.com/world/2021/sep/24/a-bit-of-a-mistery-why-england-covid-cases-are-going-down-despite-ease-of-restrictions
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www.thelancet.com www.thelancet.com
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Emary, K. R. W., Golubchik, T., Aley, P. K., Ariani, C. V., Angus, B., Bibi, S., Blane, B., Bonsall, D., Cicconi, P., Charlton, S., Clutterbuck, E. A., Collins, A. M., Cox, T., Darton, T. C., Dold, C., Douglas, A. D., Duncan, C. J. A., Ewer, K. J., Flaxman, A. L., … Pollard, A. J. (2021). Efficacy of ChAdOx1 nCoV-19 (AZD1222) vaccine against SARS-CoV-2 variant of concern 202012/01 (B.1.1.7): an exploratory analysis of a randomised controlled trial. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(21)00628-0
https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00628-0/fulltext
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covid19scenariomodelinghub.org covid19scenariomodelinghub.org
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Home - COVID 19 scenario model hub. (n.d.). Retrieved July 5, 2021, from https://covid19scenariomodelinghub.org/
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Wong, paul T. P. (2021). You Need CasMac to get Through the COVID-19 Crisis Stronger and Happier. PsyArXiv. https://doi.org/10.31234/osf.io/psuwq
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- Sep 2021
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psyarxiv.com psyarxiv.com
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Tindle, R., Hemi, A., & Moustafa, A. (2021). Is Psychological Flexibility a Coping Mechanism? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ebw4g
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www.dynare.org www.dynare.orgDynare1
Tags
Annotators
URL
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www.theguardian.com www.theguardian.com
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‘Calculated risk’: Ardern gambles as New Zealand Covid restrictions eased | New Zealand | The Guardian. (n.d.). Retrieved September 23, 2021, from https://www.theguardian.com/world/2021/sep/22/calculated-risk-ardern-gambles-as-new-zealand-covid-restrictions-eased
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www.imperial.ac.uk www.imperial.ac.uk
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Global study estimates 1.5 million children have lost a caregiver from COVID-19 | Imperial News | Imperial College London. (n.d.). Retrieved September 14, 2021, from https://www.imperial.ac.uk/news/226833/global-study-estimates-15-million-children/
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www.frontiersin.org www.frontiersin.org
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Reno-Chanca, S., Van Hoey, J., Santolaya-Prego de Oliver, J. A., Blasko-Ochoa, I., Sanfeliu Aguilar, P., & Moret-Tatay, C. (2021). Differences Between the Psychological Symptoms of Health Workers and General Community After the First Wave of the COVID-19 Outbreak in Spain. Frontiers in Psychology, 12, 644212. https://doi.org/10.3389/fpsyg.2021.644212
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twitter.com twitter.com
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Michael Mina on Twitter: “With all the news of vaccines & immunity, did you know measles infections destroy immunity and cause ‘Immune Amnesia’, increasing risk of all other infections Our research in ‘15 & ‘19 discovered this & the abbreviated story is written up nicely here: 1/ https://t.co/t5DKoQljxM” / Twitter. (n.d.). Retrieved September 7, 2021, from https://twitter.com/michaelmina_lab/status/1435037668027641861
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www.nature.com www.nature.com
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Bracher, J., Wolffram, D., Deuschel, J., Görgen, K., Ketterer, J. L., Ullrich, A., Abbott, S., Barbarossa, M. V., Bertsimas, D., Bhatia, S., Bodych, M., Bosse, N. I., Burgard, J. P., Castro, L., Fairchild, G., Fuhrmann, J., Funk, S., Gogolewski, K., Gu, Q., … Xu, F. T. (2021). A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave. Nature Communications, 12(1), 5173. https://doi.org/10.1038/s41467-021-25207-0
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- Aug 2021
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www.frontiersin.org www.frontiersin.org
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Kaloeti, D. V. S., Ardhiani, L. N., & Stück, M. (2021). The Consequences of COVID-19 Toward Human Growth: The Role of Traumatic Event and Coping Strategies Among Indonesian Sample. Frontiers in Psychology, 12, 685115. https://doi.org/10.3389/fpsyg.2021.685115
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twitter.com twitter.com
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(2) David Fisman on Twitter: “Here’s some really simple modeling that hopefully will help provide some insight into why having a large, unvaccinated minority in Ontario is a problem for the population as a whole.” / Twitter. (n.d.). Retrieved August 23, 2021, from https://twitter.com/DFisman/status/1427940663925092354
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- Jul 2021
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psyarxiv.com psyarxiv.com
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Sadus, K., Göttmann, J., & Schubert, A.-L. (2021). Predictors of stockpiling behavior during the COVID-19 pandemic in Germany [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/2m9nu
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psyarxiv.com psyarxiv.com
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Lee, Y. K., Jung, Y., Lee, I., Park, J. E., & Hahn, S. (2021). Building a Psychological Ground Truth Dataset with Empathy and Theory-of-Mind During the COVID-19 Pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/mpn3w
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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.frontiersin.org www.frontiersin.org
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Iacob, C. I., Ionescu, D., Avram, E., & Cojocaru, D. (2021). COVID-19 Pandemic Worry and Vaccination Intention: The Mediating Role of the Health Belief Model Components. Frontiers in Psychology, 12, 674018. https://doi.org/10.3389/fpsyg.2021.674018
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arxiv.org arxiv.org
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Schweitzer, F., & Andres, G. (2021). Social nucleation: Group formation as a phase transition. ArXiv:2107.06696 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2107.06696
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arxiv.org arxiv.org
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Herrera-Diestra, J. L., Tildesley, M., Shea, K., & Ferrari, M. (2021). Network structure and disease risk for an endemic infectious disease. ArXiv:2107.06186 [Physics, q-Bio]. http://arxiv.org/abs/2107.06186
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www.theguardian.com www.theguardian.com
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Global experts urge Boris Johnson to delay ‘dangerous’ Covid reopening | Coronavirus | The Guardian. (n.d.). Retrieved July 9, 2021, from https://www.theguardian.com/world/2021/jul/07/global-experts-urge-boris-johnson-delay-covid-reopening
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psyarxiv.com psyarxiv.com
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Palminteri, S. (2021). Choice-confirmation bias and gradual perseveration in human reinforcement learning [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/dpqj6
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van der Plas, E., Mason, D., Livingston, L. A., Craigie, J., Happé, F., & Fleming, S. M. (2021). Computations of confidence are modulated by mentalizing ability [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/c4pzj
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psyarxiv.com psyarxiv.com
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Moore, D. A., Backus, M., & Little, A. T. (2021). Constraints on Thinking Cause Overprecision [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/evcx2
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www.nature.com www.nature.com
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Buckee, C., Noor, A., & Sattenspiel, L. (2021). Thinking clearly about social aspects of infectious disease transmission. Nature. https://doi.org/10.1038/s41586-021-03694-x
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- Jun 2021
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Chadi, M.-A., & Mousannif, H. (2021). Reinforcement Learning Based Decision Support Tool For Epidemic Control [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/tcr8s
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www.economist.com www.economist.com
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See how age and illnesses change the risk of dying from covid-19 | The Economist. (n.d.). Retrieved June 29, 2021, from https://www.economist.com/graphic-detail/covid-pandemic-mortality-risk-estimator
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Jung, Y., Lee, Y. K., & Hahn, S. (2021). Web-scraping the Expression of Loneliness during COVID-19. PsyArXiv. https://doi.org/10.31234/osf.io/59gwk
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assets.publishing.service.gov.uk assets.publishing.service.gov.uk
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Challen, R., Dyson, L., Overton, C., Guzman-Rincon, L., Danon, L., & Gog, J. (n.d.). Briefing note: Potential community transmission of B.1.617.2 inferred by S-gene positivity. 18.
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Knock, E. S., Whittles, L. K., Lees, J. A., Perez-Guzman, P. N., Verity, R., FitzJohn, R. G., Gaythorpe, K. A. M., Imai, N., Hinsley, W., Okell, L. C., Rosello, A., Kantas, N., Walters, C. E., Bhatia, S., Watson, O. J., Whittaker, C., Cattarino, L., Boonyasiri, A., Djaafara, B. A., … Baguelin, M. (2021). Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England. Science Translational Medicine, eabg4262. https://doi.org/10.1126/scitranslmed.abg4262
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arxiv.org arxiv.org
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Persoon, P. G. J. (2021). Cumulative structure and path length in networks of knowledge. ArXiv:2106.10480 [Physics]. http://arxiv.org/abs/2106.10480
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SPI-M-O: Summary of further modelling of easing restrictions - Roadmap Step 2 —GOV.UK. (n.d.). Retrieved June 26, 2021, from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/975909/S1182_SPI-M-O_Summary_of_modelling_of_easing_roadmap_step_2_restrictions.pdf
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arxiv.org arxiv.org
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Reis, E. F. dos, & Masuda, N. (2021). Metapopulation models imply non-Poissonian statistics of interevent times. ArXiv:2106.10348 [Physics]. http://arxiv.org/abs/2106.10348
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arxiv.org arxiv.org
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Landry, N. (2021). The effect of time-dependent infectiousness on epidemic dynamics. ArXiv:2106.10384 [Physics, q-Bio]. http://arxiv.org/abs/2106.10384
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Qian, Z.-Y., Yuan, C., Zhou, J., Chen, S.-M., & Nie, S. (2021). Optimal control of complex networks with conformity behavior. ArXiv:2106.10607 [Physics]. http://arxiv.org/abs/2106.10607
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www.medrxiv.org www.medrxiv.org
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V Shah, A. S., Gribben, C., Bishop, J., Hanlon, P., Caldwell, D., Wood, R., Reid, M., McMenamin, J., Goldberg, D., Stockton, D., Hutchinson, S., Robertson, C., McKeigue, P. M., Colhoun, H. M., & McAllister, D. A. (2021). Effect of vaccination on transmission of COVID-19: An observational study in healthcare workers and their households [Preprint]. Public and Global Health. https://doi.org/10.1101/2021.03.11.21253275
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ReconfigBehSci. (2021, June 5). RT @TWenseleers: Estimated growth rate advantage of B.1.617.2 vs B.1.1.7 is 8.3%/day [7.9-8.8%] 95% CLs and 4%/day [3-5%] for B.1.617.1 vs… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1402243029407178757
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twitter.com twitter.com
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John Burn-Murdoch. (2021, January 7). Doctors & nurses do amazing, stressful work reallocating beds to squeeze Covid patients into, but a) those beds are taken away from other patients who risk losing treatment for other illness & injury, and b) when numbers get high enough, there simply aren’t any more beds or staff [Tweet]. @jburnmurdoch. https://twitter.com/jburnmurdoch/status/1347200868014297093
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Two vaccine doses needed for strong protection against variant found in India, data show | Financial Times. (n.d.). Retrieved June 14, 2021, from https://www.ft.com/content/a70d423a-7d7c-4736-8828-0a485d7c3a8e
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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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- May 2021
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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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Mallapaty, S. (2021). Scientists zero in on long-sought marker of COVID-vaccine efficacy. Nature, d41586-021-01372–01376. https://doi.org/10.1038/d41586-021-01372-6
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Wang, C. J. (2021). Contact-tracing app curbed the spread of COVID in England and Wales. Nature, d41586-021-01354–01358. https://doi.org/10.1038/d41586-021-01354-8
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Mizutaka, S., Mori, K., & Hasegawa, T. (2021). Synergistic epidemic spreading in correlated networks. ArXiv:2105.08992 [Physics, q-Bio]. http://arxiv.org/abs/2105.08992
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Stuart, A., Katz, D., Stevenson, C., Gooch, D., Harkin, L., Bennasar, M., Sanderson, L., Liddle, J., Bennaceur, A., Levine, M., Mehta, V., Wijesundara, A., Talbot, C. V., Bandara, A., Price, B., & Nuseibeh, B. (2021). Loneliness in Older People and COVID-19: Applying the Social Identity Approach to Digital Intervention Design [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/qk9hb
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www.medrxiv.org www.medrxiv.org
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Kennedy-Shaffer, L., Kahn, R., & Lipsitch, M. (2021). Estimating vaccine efficacy against transmission via effect on viral load [Preprint]. Infectious Diseases (except HIV/AIDS). https://doi.org/10.1101/2021.05.03.21256556
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Reproduction number (R) and growth rate: Methodology—GOV.UK. (n.d.). Retrieved May 13, 2021, from https://www.gov.uk/government/publications/reproduction-number-r-and-growth-rate-methodology/reproduction-number-r-and-growth-rate-methodology
Tags
- modeling
- growth rate
- UK
- is:webpage
- reproduction number
- statistics
- government
- COVID-19
- methodology
- lang:en
- healthcare
- England
Annotators
URL
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twitter.com twitter.comTwitter2
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Phil Magness. (2021, April 18). Fixed version: Here’s how the Imperial College model of Neil Ferguson performed over 1 year. I used their most conservative R0 assumption, so this is actually generous to them. Https://t.co/vVJJ629jO0 [Tweet]. @PhilWMagness. https://twitter.com/PhilWMagness/status/1383870801309360135
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ReconfigBehSci on Twitter: “this is utterly bizarre: How would one conceptually even begin to determine a number by which the model overestimated unmitigated deaths. What is the comparison unmitigated ‘prediction’ to what actually happened supposed to mean?” / Twitter. (n.d.). Retrieved May 1, 2021, from https://twitter.com/SciBeh/status/1384070393514790918
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- Apr 2021
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twitter.com twitter.com
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Eric Topol on Twitter: “The variants of concern/interest fall into a spectrum of immune evasiveness, w/ B.1.351 being most; B.1.1.7, B.1.429 least. This property pertains to potential for reinfection & some reduction in vaccine efficacy My prelim estimates based on publications/preprints, subject to Δ https://t.co/fQZwBCUEGS” / Twitter. (n.d.). Retrieved April 28, 2021, from https://twitter.com/EricTopol/status/1380203664317456385
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towardsdatascience.com towardsdatascience.com
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In many real world scenarios a continuous probability distribution is more appropriate as the outcome could be any real number and example of one is explored in the next section.
Why modeling real word using [[continuous probability distribution]]: it makes sense because the outcome is not finite nor countable - it could be ANY REAL number
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twitter.com twitter.com
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ReconfigBehSci. (2021, April 19). @ToddHorowitz3 it could be meaningful only vis a vis certain qualitative constraints: E.g., ‘look, model predicts fewer deaths for unmitigated than observed even with lockdown’ => model underpredicts.... But that’s very much not the scenario here [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1384146492609372177
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twitter.com twitter.com
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ReconfigBehSci. (2021, April 19). @ToddHorowitz3 so, given that no one can know the ‘unmitigated number’ what they seem to be calculating is in difference deaths given lockdown and model prediction without lockdown and calling that the ‘overestimate’—Which seems truly bizarre [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1384147188180082692
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www.theguardian.com www.theguardian.com
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UCL team’s claim that herd immunity set to be achieved in UK disputed | Coronavirus | The Guardian. (n.d.). Retrieved April 12, 2021, from https://www.theguardian.com/world/2021/apr/09/ucl-team-claim-covid-19-herd-immunity-achieved-uk-disputed-scientists
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psyarxiv.com psyarxiv.com
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Quillien, Tadeg, and Michael Barlev. ‘Causal Judgment in the Wild: Evidence from the 2020 US Presidential Election’. PsyArXiv, 7 April 2021. https://doi.org/10.31234/osf.io/7w9re.
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psyarxiv.com psyarxiv.com
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Gusman, M. S., Grimm, K. J., Cohen, A. B., & Doane, L. D. (2021). Stress and Sleep Across the Onset of the COVID-19 Pandemic: Impact of Distance Learning on U.S. College Students’ Health Trajectories. PsyArXiv. https://doi.org/10.31234/osf.io/m5zv9
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- Mar 2021
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twitter.com twitter.com
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Maarten van Smeden. (2021, March 25). 🚨🚨NEW EVIDENCE PYRAMID🚨🚨 https://t.co/RnGfl337tD [Tweet]. @MaartenvSmeden. https://twitter.com/MaartenvSmeden/status/1375008127737851904
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twitter.com twitter.com
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Erik Angner. (2021, February 18). Periodic reminder that in terms of outcomes, Swedish corona policy is thoroughly average in EU comparison – not exactly a model to be emulated by the rest of the world, nor a crime against humanity that should be prosecuted in the Hague. Https://t.co/E1CHBFMs6S [Tweet]. @ErikAngner. https://twitter.com/ErikAngner/status/1362319246378872832
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www.theatlantic.com www.theatlantic.com
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Yong, S. by E. (n.d.). How Science Beat the Virus. The Atlantic. Retrieved 20 February 2021, from https://www.theatlantic.com/magazine/archive/2021/01/science-covid-19-manhattan-project/617262/
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www.bloomberg.com www.bloomberg.com
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Undetected Covid Cases Change the True Shape of the Pandemic—Bloomberg. (n.d.). Retrieved March 1, 2021, from https://www.bloomberg.com/opinion/articles/2020-12-01/undetected-covid-cases-change-the-true-shape-of-the-pandemic
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www.pnas.org www.pnas.org
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Hong, B., Bonczak, B. J., Gupta, A., Thorpe, L. E., & Kontokosta, C. E. (2021). Exposure density and neighborhood disparities in COVID-19 infection risk. Proceedings of the National Academy of Sciences, 118(13). https://doi.org/10.1073/pnas.2021258118
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psyarxiv.com psyarxiv.com
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Pownall, M., Harris, R., & Blundell-Birtill, P. (2021). Supporting students during the transition to university in COVID-19: 5 key considerations and recommendations. PsyArXiv. https://doi.org/10.31234/osf.io/4fykt
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www.usatoday.com www.usatoday.com
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Sweden’s COVID death toll is unnerving due to herd immunity experiment. (n.d.). Retrieved March 4, 2021, from https://eu.usatoday.com/story/opinion/2020/07/21/coronavirus-swedish-herd-immunity-drove-up-death-toll-column/5472100002/
Tags
- modeling
- social distancing
- Sweden
- mortality
- research
- government
- COVID-19
- WHO
- lang:en
- herd immunity
- transmission
- pandemic
- statistics
- plot
- is:blog
- policy
Annotators
URL
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www.youtube.com www.youtube.com
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JAMA Network. (2020, November 6). Herd Immunity as a Coronavirus Pandemic Strategy. https://www.youtube.com/watch?v=2tsUTAWBJ9M
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- Feb 2021
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twitter.com twitter.com
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Carl T. Bergstrom. (2021, January 31). A somewhat technical thread about measuring vaccine efficacy. We’re used to the notion that certain properties of tests for disease depend on prevalence: Positive and negative predictive value do, for example, whereas sensitivity and specificity do not. [Tweet]. @CT_Bergstrom. https://twitter.com/CT_Bergstrom/status/1355762090078703621
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psyarxiv.com psyarxiv.com
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Haslam, S. A., Steffens, N. K., Reicher, S., & Bentley, S. (2020). Identity leadership in a crisis: A 5R framework for learning from responses to COVID-19. PsyArXiv. https://doi.org/10.31234/osf.io/bhj49
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Centre for Cognition, Computation, & Modelling on Twitter. (n.d.). Twitter. Retrieved 20 February 2021, from https://twitter.com/BBK_CCCM/status/1359132159953559557
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www.imperial.ac.uk www.imperial.ac.uk
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Imperial projects global coronavirus trajectory with simulation tool | Imperial News | Imperial College London. (n.d.). Imperial News. Retrieved 19 February 2021, from https://www.imperial.ac.uk/news/210053/imperial-projects-coronavirus-trajectory-countries-with/
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www.pnas.org www.pnas.org
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Baker, R. E., Park, S. W., Yang, W., Vecchi, G. A., Metcalf, C. J. E., & Grenfell, B. T. (2020). The impact of COVID-19 nonpharmaceutical interventions on the future dynamics of endemic infections. Proceedings of the National Academy of Sciences, 117(48), 30547–30553. https://doi.org/10.1073/pnas.2013182117
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www.youtube.com www.youtube.com
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It’s Okay To Be Smart. (2021, February 4). Visualizing Herd Immunity (with 500 Mousetraps!) (feat. @The Slow Mo Guys). https://www.youtube.com/watch?v=Et_J8_x4qBs&feature=youtu.be
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www.sciencedirect.com www.sciencedirect.com
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van der Linden, S. (2021). The Gateway Belief Model (GBM): A review and research agenda for communicating the scientific consensus on climate change. Current Opinion in Psychology, 42, 7–12. https://doi.org/10.1016/j.copsyc.2021.01.005
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psyarxiv.com psyarxiv.com
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Cruwys, T., Stevens, M., Donaldson, J. L., Cardenas, D., Platow, M. J., Reynolds, K. J., & Fong, P. (2021). Perceived COVID-19 risk is attenuated by ingroup trust: Evidence from three empirical studies. PsyArXiv. https://doi.org/10.31234/osf.io/94sd3
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advances.sciencemag.org advances.sciencemag.org
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Matrajt, Laura, Julia Eaton, Tiffany Leung, und Elizabeth R. Brown. „Vaccine Optimization for COVID-19: Who to Vaccinate First?“ Science Advances 7, Nr. 6 (1. Februar 2020): eabf1374. https://doi.org/10.1126/sciadv.abf1374.
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journals.plos.org journals.plos.org
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Nande A, Adlam B, Sheen J, Levy MZ, Hill AL (2021) Dynamics of COVID-19 under social distancing measures are driven by transmission network structure. PLoS Comput Biol 17(2): e1008684. https://doi.org/10.1371/journal.pcbi.1008684
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- Jan 2021
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psyarxiv.com psyarxiv.com
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Singh, M., Richie, R., & Bhatia, S. (2020, October 7). Representing and Predicting Everyday Behavior. https://doi.org/10.31234/osf.io/kb53h
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www.nature.com www.nature.com
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(2021). How epidemiology has shaped the COVID pandemic. Nature, 589, 491-492. Doi: 10.1038/d41586-021-00183-z
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www.pnas.org www.pnas.org
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Grzegorz. S., Żogała-Siudem. B., Cena. A. Gagolewski. M., (2020).Three dimensions of scientific impact. PNAS. 117 (25) 13896-13900
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Landry. N., Restrepo. J. G. (2020).The effect of heterogeneity on hypergraph contagion models. Physics and Society. Retrieved from: https://arxiv.org/abs/2006.15453
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Gopinath. G., (2020) IMF: New predictions suggest a deeper recession and a slower recovery. World Economic Forum. Retrieved from: https://www.weforum.org/agenda/2020/06/imf-lockdown-recession-covid19-coronavirus-economics-recession
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journals.plos.org journals.plos.org
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Parag. K. V., Donnelly. C. A., (2020) Using information theory to optimise epidemic models for real-time prediction and estimation. PLOS. Retrieved from https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007990
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www.thelancet.com www.thelancet.com
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Drake. T. M., Docherty. A. B., Weiser. T. G., Yule. S., Sheikh. A., Harrison. E. M., (2020). The effects of physical distancing on population mobility during the COVID-19 pandemic in the UK. Retrieved from https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30134-5/fulltext#.XvrKIDSbor0.twitter
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Corral. A., (2020). Scientific comment on "Tail risk of contagious diseases" Cornell University Physics and Society. Retrieved from: https://arxiv.org/abs/2007.06876
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items.ssrc.org items.ssrc.org
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Page. S. E. (2020) The Coronavirus and Innovations. Items. Retrieved from: https://items.ssrc.org/covid-19-and-the-social-sciences/policy-models-in-pandemic/the-coronavirus-and-innovation/
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covid-19.iza.org covid-19.iza.org
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Donsimoni. J. R., Glawion. R., Plachter. B., Walde. K., (2020). Projecting the Spread of COVID-19 for Germany. Institute of labor economics. Retrieved from: https://covid-19.iza.org/publications/dp13094/
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covid-19.iza.org covid-19.iza.org
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Dave. D. M., Friedson. A. I., Matsuzawa. K., McNichols. D.. Sabia. J. J. (2020). .Did the Wisconsin Supreme Court Restart a COVID-19 Epidemic? Evidence from a Natural Experiment. Institute of Labor Economics. Retrieved from: https://covid-19.iza.org/publications/dp13314/
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- Dec 2020
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journals.plos.org journals.plos.org
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Demers. J., Bewick. S., Folashade. A., Caillouet. K. A., Fagan. W. F. Robertson. S. L., (2020) . Managing disease outbreaks: The importance of vector mobility and spatially heterogeneous control. PLOS COMPUTATIONAL BIOLOGY. Retrieved from: https://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1008136&utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+ploscompbiol%2FNewArticles+%28PLOS+Computational+Biology+-+New+Articles%29
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Chandrasekhar. A. G., Goldsmith-Pinkman. P., Jackson. M. O., Thau. S., (2020) Interacting Regional Policies in Containing a Disease. Retrieved from: https://arxiv.org/abs/2008.10745
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www.nature.com www.nature.com
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Allen. W. E. (2020) Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing. Nature human behaviour. Retrieved from: https://www.nature.com/articles/s41562-020-00944-2?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+nathumbehav%2Frss%2Fcurrent+%28Nature+Human+Behaviour%29
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www.bmj.com www.bmj.com
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Jones. N. R., (2020) Two metres or one: what is the evidence for physical distancing in covid-19? thebmj. Retrieved from: https://www.bmj.com/content/370/bmj.m3223
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link.aps.org link.aps.org
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Mancastroppa. M., Burioni. R., Colizza. V., Vezzani. A., (2020). Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks. APS Physics. Retrieved from: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.102.020301
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twitter.com twitter.com
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ReconfigBehSci [@SciBeh} I cannot attest to the accuracy of the underlying science/model but the idea of the tool is very cool and seems extremely useful! Twitter. https://twitter.com/i/web/status/1306225159880298496
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blogs.bmj.com blogs.bmj.com
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Karl Friston and Anthony Costello: What we have learned from the second covid-19 surge? (2020, December 8). The BMJ. https://blogs.bmj.com/bmj/2020/12/08/karl-friston-and-anthony-costello-what-we-have-learned-from-the-second-covid-19-surge/
Tags
- modeling
- epidemiology
- vaccine
- case number
- Bayesian
- prediction
- COVID-19
- is:blog
- criticism
- inaccuracy
- second wave
- lang:en
- forecast
Annotators
URL
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- Nov 2020
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Tags
Annotators
URL
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- Oct 2020
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Maia, H. P., Ferreira, S. C., & Martins, M. L. (2020). Adaptive network approach for emergence of societal bubbles. ArXiv:2010.08635 [Nlin, Physics:Physics]. http://arxiv.org/abs/2010.08635
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www.bmj.com www.bmj.com
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Smith, G. D., Blastland, M., & Munafò, M. (2020). Covid-19’s known unknowns. BMJ, 371. https://doi.org/10.1136/bmj.m3979
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jamanetwork.com jamanetwork.com
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Woolf, S. H., Chapman, D. A., Sabo, R. T., Weinberger, D. M., Hill, L., & Taylor, D. D. H. (2020). Excess Deaths From COVID-19 and Other Causes, March-July 2020. JAMA, 324(15), 1562. https://doi.org/10.1001/jama.2020.19545
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twitter.com twitter.com
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Maarten van Smeden on Twitter. (n.d.). Twitter. Retrieved October 18, 2020, from https://twitter.com/MaartenvSmeden/status/1316423658106216454
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erj.ersjournals.com erj.ersjournals.com
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Martin, G. P., Sperrin, M., & Sotgiu, G. (2020). Performance of Prediction Models for Covid-19: The Caudine Forks of the External Validation. European Respiratory Journal. https://doi.org/10.1183/13993003.03728-2020
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iaap-journals.onlinelibrary.wiley.com iaap-journals.onlinelibrary.wiley.com
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Tong, K. K., Chen, J. H., Yu, E. W., & Wu, A. M. S. (n.d.). Adherence to COVID-19 Precautionary Measures: Applying the Health Belief Model and Generalised Social Beliefs to a Probability Community Sample. Applied Psychology: Health and Well-Being, n/a(n/a). https://doi.org/10.1111/aphw.12230
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academic.oup.com academic.oup.com
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Abbott, K. R., & Sherratt, T. N. (2013). Optimal sampling and signal detection: Unifying models of attention and speed–accuracy trade-offs. Behavioral Ecology, 24(3), 605–616. https://doi.org/10.1093/beheco/art001
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13757/
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journals.sagepub.com journals.sagepub.com
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Li, J., & Zheng, H. (2020). Online InformationSeeking and Disease Prevention Intent During COVID-19 Outbreak. Journalism & Mass Communication Quarterly, 1077699020961518. https://doi.org/10.1177/1077699020961518
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clalliance.org clalliance.org
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A world where one’s primary identity is found through the social people-farms of existing social networks is a problematic one. Educators and parents are in the privileged position of being able to help create a better future, but we need to start modeling to future generations what that might look like.
This is exactly what I've been attempting to do with my own website. Naturally I use it selfishly for my own purposes, but I'm also using it to model potential behaviours for friends, family and colleagues.
I'm sometimes tempted to change the tagline on my website to "A digital canary in the coalmine".
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www.nature.com www.nature.com
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Grimm, V., Johnston, A. S. A., Thulke, H.-H., Forbes, V. E., & Thorbek, P. (2020). Three questions to ask before using model outputs for decision support. Nature Communications, 11(1), 4959. https://doi.org/10.1038/s41467-020-17785-2
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Houghton, J. P. (2020). Interdependent Diffusion: The social contagion of interacting beliefs. ArXiv:2010.02188 [Physics]. http://arxiv.org/abs/2010.02188
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link.aps.org link.aps.org
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Gaisbauer, F., Olbrich, E., & Banisch, S. (2020). Dynamics of opinion expression. Physical Review E, 102(4), 042303. https://doi.org/10.1103/PhysRevE.102.042303
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www.mobs-lab.org www.mobs-lab.org2019nCOV1
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2019nCOV. (n.d.). MOBS Lab. Retrieved October 2, 2020, from https://www.mobs-lab.org/2019ncov.html
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- Sep 2020
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Chen, Q., & Porter, M. A. (2020). Epidemic Thresholds of Infectious Diseases on Tie-Decay Networks. ArXiv:2009.12932 [Physics]. http://arxiv.org/abs/2009.12932
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arxiv.org arxiv.org
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James, N., & Menzies, M. (2020). Human and financial cost of COVID-19. ArXiv:2009.11660 [Physics, q-Fin]. http://arxiv.org/abs/2009.11660
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erj.ersjournals.com erj.ersjournals.com
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Gupta, R. K., Marks, M., Samuels, T. H. A., Luintel, A., Rampling, T., Chowdhury, H., Quartagno, M., Nair, A., Lipman, M., Abubakar, I., Smeden, M. van, Wong, W. K., Williams, B., & Noursadeghi, M. (2020). Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: An observational cohort study. European Respiratory Journal. https://doi.org/10.1183/13993003.03498-2020
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Humphries, R., Mulchrone, K., Tratalos, J., More, S., & Hövel, P. (2020). A Systematic Framework of Modelling Epidemics on Temporal Networks. ArXiv:2009.11965 [Nlin, Physics:Physics]. http://arxiv.org/abs/2009.11965
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Cookson, C. (2020, March 24). Coronavirus may have infected half of UK population—Oxford study. https://www.ft.com/content/5ff6469a-6dd8-11ea-89df-41bea055720b
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