- Mar 2021
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Cantwell, G. T., Kirkley, A., & Newman, M. E. J. (2020). The friendship paradox in real and model networks. ArXiv:2012.03991 [Physics]. http://arxiv.org/abs/2012.03991
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www.theguardian.com www.theguardian.com
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Boseley, S. (2021, March 15). Coronavirus: report scathing on UK government’s handling of data. The Guardian. https://www.theguardian.com/world/2021/mar/15/mp-report-scathing-on-uk-goverment-handling-and-sharing-of-covid-data
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www.forbes.com www.forbes.com
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The urgent argument for turning any company into a software company is the growing availability of data, both inside and outside the enterprise. Specifically, the implications of so-called “big data”—the aggregation and analysis of massive data sets, especially mobile
Every company is described by a set of data, financial and other operational metrics, next to message exchange and paper documents. What else we find that contributes to the simulacrum of an economic narrative will undeniably be constrained by the constitutive forces of its source data.
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en.wikipedia.org en.wikipedia.org
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The granularity of data refers to the size in which data fields are sub-divided
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aatishb.com aatishb.com
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Double-time for the world.
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www.nesta.org.uk www.nesta.org.uk
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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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ReconfigBehSci on Twitter: ‘RT @d_spiegel: Excellent new Covid RED dashboard from UCL https://t.co/wHMG8LzTUb Would be good to also know (a) how many contacts isolate…’ / Twitter. (n.d.). Retrieved 6 March 2021, from https://twitter.com/SciBeh/status/1323316018484305920
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medium.com medium.com
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a data donation platform that allows users of browsers to donate data on their usage of specific services (eg Youtube, or Facebook) to a platform.
This seems like a really promising pattern for many data-driven problems. Browsers can support opt-in donation to contribute their data to improve Web search, social media, recommendations, lots of services that implicitly require lots of operational data.
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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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twitter.com twitter.com
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ReconfigBehSci. (2020, November 23). RT @lakens: Ongoing, an incredibly awesome talk on computational reproducibility by @AdinaKrik. Slides: Https://t.co/QslHW3gEtm. If you are… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1331265422109396995
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twitter.com twitter.com
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The COVID Tracking Project. (2020, November 19). Our daily update is published. States reported 1.5M tests, 164k cases, and 1,869 deaths. A record 79k people are currently hospitalized with COVID-19 in the US. Today’s death count is the highest since May 7. Https://t.co/8ps5itYiWr [Tweet]. @COVID19Tracking. https://twitter.com/COVID19Tracking/status/1329235190615474179
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twitter.com twitter.com
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Flightradar24. (2020, November 24). The skies above North America at Noon ET on the Tuesday before Thanksgiving. Active flights 2018: 6,815 2019: 7,630 2020: 6,972 📡 https://t.co/NePPWZCDVp https://t.co/WOY9j0BXpx [Tweet]. @flightradar24. https://twitter.com/flightradar24/status/1331286193875640322
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www.gov.uk www.gov.uk
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Coronavirus cases by local authority: Epidemiological data, 27 November 2020. (n.d.). GOV.UK. Retrieved 4 March 2021, from https://www.gov.uk/government/publications/coronavirus-cases-by-local-authority-epidemiological-data-27-november-2020
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guides.rubyonrails.org guides.rubyonrails.org
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These methods should be used with caution, however, because important business rules and application logic may be kept in callbacks. Bypassing them without understanding the potential implications may lead to invalid data.
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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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data.wprdc.org data.wprdc.org
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘RT @AdamJKucharski: Summary of NERVTAG view on new SARS-CoV-2 variant, from 18 Dec (full document here: Https://t.co/yll9beVI9A) https://t.…’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1341034652082036739
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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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twitter.com twitter.com
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David Spiegelhalter. (2020, December 17). Wow, Our World in Data now showing both Sweden and Germany having a higher daily Covid death rate than the UK https://t.co/EKx7ntil6m https://t.co/YCy4a0DrqP [Tweet]. @d_spiegel. https://twitter.com/d_spiegel/status/1339493869394780160
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twitter.com twitter.com
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Rowland Manthorpe. (2020, December 16). What’s happening with the data about the vaccine? Well, let’s put it this way: There’s a lot to sort out A THREAD on my reporting today [Tweet]. @rowlsmanthorpe. https://twitter.com/rowlsmanthorpe/status/1339347825147195392
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psyarxiv.com psyarxiv.com
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Hyland, P., Vallières, F., Shevlin, M., Bentall, R. P., McKay, R., Hartman, T. K., McBride, O., & Murphy, J. (2021). Resistance to COVID-19 vaccination has increased in Ireland and the UK during the pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/ry6n4
Tags
- lang:en
- vaccine
- social behavior
- resistance
- UK
- longitudinal
- ireland
- attitudes
- Russia
- cross-sectional data
- China
- statistics
- pandemic
- vaccine resistance
- communication strategies
- is:preprint
- officials
- statistical analysis
- public health
- vaccine hesitance
- COVID-19
- second wave
- vaccination
Annotators
URL
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘RT @PsyArXivBot: Resistance to COVID-19 vaccination has increased in Ireland and the UK during the pandemic https://t.co/AgKErDr7Yj’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1366707710151053312
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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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www.bloomberg.com www.bloomberg.com
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Covid-19 Isn’t the Only Thing Shortening American Lives. (2021, February 23). Bloomberg.Com. https://www.bloomberg.com/opinion/articles/2021-02-23/covid-19-isn-t-the-only-thing-shortening-american-lives
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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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twitter.com twitter.com
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Erich Neuwirth. (2020, November 11). #COVID19 #COVID19at https://t.co/9uudp013px Zu meinem heutigen Bericht sind Vorbemerkungen notwendig. Das EMS - aus dem kommen die Daten über positive Tests—Hat anscheinend ziemliche Probleme. Heute wurden viele Fälle nachgemeldet. In Wien gab es laut diesem [Tweet]. @neuwirthe. https://twitter.com/neuwirthe/status/1326556742113746950
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www.statnews.com www.statnews.com
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A hidden success in the Covid-19 mess: The internet. (2020, November 11). STAT. https://www.statnews.com/2020/11/11/a-hidden-success-in-the-covid-19-mess-the-internet/
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www.theguardian.com www.theguardian.com
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Geddes, L. (2020, November 15). Damage to multiple organs recorded in ‘long Covid’ cases. The Guardian. https://www.theguardian.com/world/2020/nov/15/damage-to-multiple-organs-recorded-in-long-covid-cases
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- Feb 2021
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thestatsgeek.com thestatsgeek.com
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Confounding vs. Effect modification – The Stats Geek. (n.d.). Retrieved February 27, 2021, from https://thestatsgeek.com/2021/01/13/confounding-vs-effect-modification/
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www.nature.com www.nature.com
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Chwalisz, C. (2021). The pandemic has pushed citizen panels online. Nature, 589(7841), 171–171. https://doi.org/10.1038/d41586-021-00046-7
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www.coursera.org www.coursera.org
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Data on blockchains are different from data on the Internet, and in one important way in particular. On the Internet most of the information is malleable and fleeting. The exact date and time of its publication isn't critical to past or future information. On a blockchain, the truth of the present relies on the details of the past. Bitcoins moving across the network have been permanently stamped from the moment of their coinage.
data on blockchain vs internet
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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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osf.io osf.io
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Peer, L., Orr, L., & Coppock, A. (2020). Active Maintenance: A Proposal for the Long-term Computational Reproducibility of Scientific Results. SocArXiv. https://doi.org/10.31235/osf.io/8jwhk
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advances.sciencemag.org advances.sciencemag.org
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Morgan, A. C., Way, S. F., Hoefer, M. J. D., Larremore, D. B., Galesic, M., & Clauset, A. (2021). The unequal impact of parenthood in academia. Science Advances, 7(9), eabd1996. https://doi.org/10.1126/sciadv.abd1996
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Dickie, Mure, and John Burn-Murdoch. ‘Scotland Reaps Dividend of Covid Response That Diverged from England’, 25 February 2021. https://www.ft.com/content/e1eddd2f-cb0b-4c7a-8872-2783810fae8d.
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the-turing-way.netlify.com the-turing-way.netlify.comWelcome1
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github.com github.com
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Tree Navigation
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www.nature.com www.nature.com
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Chande, A., Lee, S., Harris, M., Nguyen, Q., Beckett, S. J., Hilley, T., Andris, C., & Weitz, J. S. (2020). Real-time, interactive website for US-county-level COVID-19 event risk assessment. Nature Human Behaviour, 4(12), 1313–1319. https://doi.org/10.1038/s41562-020-01000-9
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twitter.com twitter.com
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ReconfigBehSci. (2021, January 12). RT @shaunabrail: Our 4th dashboard launches today at https://t.co/tBn16KDr6h. It focuses on changes in work, revealing a range of employmen… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1349058908023873538
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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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twitter.com twitter.com
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Christina Pagel. (2021, February 23). 1. LONG THREAD ON COVID, LOCKDOWN & THE ROADMAP: TLDR: There’s a lot to like about the roadmap – but it could be & should be made much more effective. Because this will be tying current situation to the roadmap, I’m concentrating on English data Read on… (22 tweets—Sorry) [Tweet]. @chrischirp. https://twitter.com/chrischirp/status/1364019581971558401
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trailblazer.to trailblazer.to
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Trailblazer will automatically create a new Context object around your custom input hash. You can write to that without interferring with the original context.
Tags
Annotators
URL
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twitter.com twitter.com
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IrrationalLabs. (2021, February 3). We designed an intervention that reduced shares of flagged content on TikTok by 24% via a large scale RCT, thread 👇1/7 [Tweet]. @IrrationalLabs. https://twitter.com/IrrationalLabs/status/1357033901311451140
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en.wikipedia.org en.wikipedia.org
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A type constructor M that builds up a monadic type M T
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Monads achieve this by providing their own data type (a particular type for each type of monad), which represents a specific form of computation
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en.wikipedia.org en.wikipedia.org
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Purely functional programming may also be defined by forbidding state changes and mutable data.
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Purely functional data structures are persistent. Persistency is required for functional programming; without it, the same computation could return different results.
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trailblazer.to trailblazer.to
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What this means is: I better refrain from writing a new book and we rather focus on more and better docs.
I'm glad. I didn't like that the book (which is essentially a form of documentation/tutorial) was proprietary.
I think it's better to make documentation and tutorials be community-driven free content
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ather, data is passed around from operation to operation, from step to step. We use OOP and inheritance solely for compile-time configuration. You define classes, steps, tracks and flows, inherit those, customize them using Ruby’s built-in mechanics, but this all happens at compile-time. At runtime, no structures are changed anymore, your code is executed dynamically but only the ctx (formerly options) and its objects are mutated. This massively improves the code quality and with it, the runtime stability
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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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assets.publishing.service.gov.uk assets.publishing.service.gov.uk
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GOV.UK. „Investigation of Novel SARS-CoV-2 Variant: Variant of Concern 202012/01“. Zugegriffen 22. Februar 2021. https://www.gov.uk/government/publications/investigation-of-novel-sars-cov-2-variant-variant-of-concern-20201201.
Tags
- surveillance
- data
- healtcare
- briefing
- COVID-19
- technical
- transmission
- UK
- tracking
- virus
- public health
- investigation
- mutation
Annotators
URL
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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
- unreliable
- data
- correction
- lang:en
- scientific
- non-signficant
- value
- table
- misconduct
- self-correction
- result
- science
- forge
- statistic
- is:blog
- false
- test
- outcome
- significant
Annotators
URL
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www.youtube.com www.youtube.com
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otra prueba de hypothesis en youtube
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www.youtube.com www.youtube.com
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Miguel Andariego comentó en este momento:
Sería mejor arrancar con Duckduckgo para no promover del todo al gigante.
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twitter.com twitter.com
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Kit Yates. (2021, January 22). Is this lockdown 3.0 as tough as lockdown 1? Here are a few pieces of data from the @IndependentSage briefing which suggest that despite tackling a much more transmissible virus, lockdown is less strict, which might explain why we are only just keeping on top of cases. [Tweet]. @Kit_Yates_Maths. https://twitter.com/Kit_Yates_Maths/status/1352662085356937216
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www.thelancet.com www.thelancet.com
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Li, You, Harry Campbell, Durga Kulkarni, Alice Harpur, Madhurima Nundy, Xin Wang, and Harish Nair. ‘The Temporal Association of Introducing and Lifting Non-Pharmaceutical Interventions with the Time-Varying Reproduction Number (R) of SARS-CoV-2: A Modelling Study across 131 Countries’. The Lancet Infectious Diseases 21, no. 2 (1 February 2021): 193–202. https://doi.org/10.1016/S1473-3099(20)30785-4.
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www.washingtonpost.com www.washingtonpost.com
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Dam, A. V. (n.d.). Analysis | We’ve been cooped up with our families for almost a year. This is the result. Washington Post. Retrieved 18 February 2021, from https://www.washingtonpost.com/road-to-recovery/2021/02/16/pandemic-togetherness-never-have-so-many-spent-so-much-time-with-so-few/
Tags
- is:blog
- house
- data
- pandemic
- lang:en
- USA
- togetherness
- children
- children and family
- family
- home
- COVID-19
- human behaviour
- isolation
- lockdown
Annotators
URL
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twitter.com twitter.com
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David Speigelhalter. (2021, January 26). @d_spiegel: COVID deaths within 28 days of +ve test may reach 100,000 today. But ONS data https://t.co/I4GVcUncll show that over 100,00… [Tweet]. https://twitter.com/d_spiegel/status/1354021097822425093?s=20
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Excel: Why using Microsoft’s tool caused Covid-19 results to be lost. (2020, October 5). BBC News. https://www.bbc.com/news/technology-54423988
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psyarxiv.com psyarxiv.com
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Lo, C., Mani, N., Kartushina, N., Mayor, J., & Hermes, J. (2021, February 11). e-Babylab: An Open-source Browser-based Tool for Unmoderated Online Developmental Studies. https://doi.org/10.31234/osf.io/u73sy
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en.wikipedia.org en.wikipedia.org
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This is done to separate internal representations of information from the ways information is presented to and accepted from the user.
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psyarxiv.com psyarxiv.com
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Lakens, D. (2021). Sample Size Justification. PsyArXiv. https://doi.org/10.31234/osf.io/9d3yf
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www.timesofisrael.com www.timesofisrael.com
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Jeffay, N. (n.d.). Israel sees 60% drop in hospitalizations for age 60-plus 3 weeks after 1st shot. Retrieved 16 February 2021, from https://www.timesofisrael.com/israel-sees-60-drop-in-hospitalizations-for-over-60s-in-weeks-after-vaccination/
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www.thelancet.com www.thelancet.com
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Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., Liu, M., … Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497–506. https://doi.org/10.1016/S0140-6736(20)30183-5
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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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qz.com qz.com
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A fairly comprehensive list of problems and limitations that are often encountered with data as well as suggestions about who should be responsible for fixing them (from a journalistic perspective).
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Benford’s Law is a theory which states that small digits (1, 2, 3) appear at the beginning of numbers much more frequently than large digits (7, 8, 9). In theory Benford’s Law can be used to detect anomalies in accounting practices or election results, though in practice it can easily be misapplied. If you suspect a dataset has been created or modified to deceive, Benford’s Law is an excellent first test, but you should always verify your results with an expert before concluding your data has been manipulated.
This is a relatively good explanation of Benford's law.
I've come across the theory in advanced math, but I'm forgetting where I saw the proof. p-adic analysis perhaps? Look this up.
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More journalistic outlets should be publishing data explainers about where their data and analysis come from so that readers can double check it.
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There is no worse way to screw up data than to let a single human type it in.
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Edwards, D. A., Ausiello, D., Salzman, J., Devlin, T., Langer, R., Beddingfield, B. J., Fears, A. C., Doyle-Meyers, L. A., Redmann, R. K., Killeen, S. Z., Maness, N. J., & Roy, C. J. (2021). Exhaled aerosol increases with COVID-19 infection, age, and obesity. Proceedings of the National Academy of Sciences, 118(8). https://doi.org/10.1073/pnas.2021830118
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In America, the number of searches at the time of the lockdown in 2020 for boredom rose by 57 percent, loneliness by 16 percent and worry by 12 percent.
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in Europe at the time of the lockdown in 2020 for boredom rose by 93 percent, loneliness 40 percent and worry 27 percent
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www.npr.org www.npr.org
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Early Data Shows Striking Racial Disparities In Who’s Getting The COVID-19 Vaccine. (n.d.). NPR.Org. Retrieved 11 February 2021, from https://www.npr.org/sections/coronavirus-live-updates/2021/01/28/961703505/early-data-shows-striking-racial-disparities-in-whos-getting-the-covid-19-vaccin
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medium.com medium.com
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Makulec, A. (2021, February 1). Demystifying Vaccination Metrics. Medium. https://medium.com/nightingale/demystifying-vaccination-metrics-cd0a29251dd2
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www.olivertacke.de www.olivertacke.de
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Educational Data Mining (EDM) and Learning Analytics (LA) are among the top buzzwords of the EdTech scene right now.
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Report of 8% vaccine efficacy for elderly debunked by German government. (14:24:16+00:00). Full Fact. https://fullfact.org/health/german-astrazeneca-8-percent-handelsblatt/
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cytoscape.org cytoscape.org
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Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data. A lot of Apps are available for various kinds of problem domains, including bioinformatics, social network analysis, and semantic web.
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Annotators
URL
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psyarxiv.com psyarxiv.com
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Spadaro, G., Tiddi, I., Columbus, S., Jin, S., Teije, A. t., & Balliet, D. (2020, October 28). The Cooperation Databank. https://doi.org/10.31234/osf.io/rveh3
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- Jan 2021
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www.nytimes.com www.nytimes.com
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Baker, M., & Saldanha, A. (2021, January 21). A year after the U.S. recorded its first virus case, the outbreak has ravaged the nation and deaths remain high. The New York Times. https://www.nytimes.com/2021/01/21/us/a-year-after-the-us-recorded-its-first-virus-case-the-outbreak-has-ravaged-the-nation-and-deaths-remain-high.html
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filosofia.arcos.org.br filosofia.arcos.org.br
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8/10 a 14/10 - Leitura dos textos do Módulo 814/10, 19:00 a 20:30 - Encontro presencial para conversar sobre os
Acredito que as datas estejam eradas. Quais seriam as corretas?
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www.reddit.com www.reddit.com
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Surveys in a time of Covid [u/hamilton_ian] (2020-01-28). Reddit. Retrieved from: https://www.reddit.com/r/BehSciAsk/comments/l739ru/surveys_in_a_time_of_covid/
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www.thelancet.com www.thelancet.com
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Sabino, Ester C., Lewis F. Buss, Maria P. S. Carvalho, Carlos A. Prete, Myuki A. E. Crispim, Nelson A. Fraiji, Rafael H. M. Pereira, u. a. „Resurgence of COVID-19 in Manaus, Brazil, despite High Seroprevalence“. The Lancet 0, Nr. 0 (27. Januar 2021). https://doi.org/10.1016/S0140-6736(21)00183-5.
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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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cardozolawreview.com cardozolawreview.com
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Cardozo Law Review. „COVID-19 and Digital Contact Tracing: Regulating the Future of Public Health Surveillance“, 27. Januar 2021. https://cardozolawreview.com/covid-19-and-digital-contact-tracing-regulating-the-future-of-public-health-surveillance/.
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www.medrxiv.org www.medrxiv.org
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MacKenna, Brian, Helen J. Curtis, Caroline E. Morton, Peter Inglesby, Alex J. Walker, Jessica Morley, Amir Mehrkar, u. a. „Trends, Regional Variation, and Clinical Characteristics of COVID-19 Vaccine Recipients: A Retrospective Cohort Study in 23.4 Million Patients Using OpenSAFELY.“ MedRxiv, 26. Januar 2021, 2021.01.25.21250356. https://doi.org/10.1101/2021.01.25.21250356.
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www.forbes.com www.forbes.com
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Data analysis, and the parts of statistics which adhere to it, must…take on the characteristics of science rather than those of mathematics…
Is data analysis included in data science? If not, what is the relationship between them?
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www.cgdev.org www.cgdev.org
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this paper identifies / lists 5 reasons to follow the money in health care. These reasons are applicable to social services or other areas of philanthropy as well.
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘RT @NatureNews: COVID curbed carbon emissions in 2020—But not by much, and new data show global CO2 emissions have rebounded: Https://t.c…’ / Twitter. (n.d.). Retrieved 20 January 2021, from https://twitter.com/SciBeh/status/1351840770823757824
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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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covid-19.iza.org covid-19.iza.org
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Kim. S., Koh. K., Zhang. X., (2020) Short-Term Impact of COVID-19 on Consumption and Labor Market Outcomes: Evidence from Singapore. Institute of labor economics. Retrieved from: https://covid-19.iza.org/publications/dp13354/
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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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www.newscientist.com www.newscientist.com
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Spiegelhalter. D. (2020). David Spiegelhalter: How to be a coronavirus statistics sleuth. New Scientist. Retrieved from: https://www.newscientist.com/article/mg24732954-000-david-spiegelhalter-how-to-be-a-coronavirus-statistics-sleuth/?utm_term=Autofeed&utm_campaign=echobox&utm_medium=social&utm_source=Twitter#Echobox=1597271080
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register.gotowebinar.com register.gotowebinar.com
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American Psychological Association. (2020). Adapting your research methods in response to COVID-19.
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doc.rust-lang.org doc.rust-lang.org
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We could change the definition of Cons to hold references instead, but then we would have to specify lifetime parameters. By specifying lifetime parameters, we would be specifying that every element in the list will live at least as long as the entire list. The borrow checker wouldn’t let us compile let a = Cons(10, &Nil); for example, because the temporary Nil value would be dropped before a could take a reference to it.
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material-ui.com material-ui.com
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www.w3.org www.w3.org
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Why is CORS important? Currently, client-side scripts (e.g., JavaScript) are prevented from accessing much of the Web of Linked Data due to "same origin" restrictions implemented in all major Web browsers. While enabling such access is important for all data, it is especially important for Linked Open Data and related services; without this, our data simply is not open to all clients. If you have public data which doesn't use require cookie or session based authentication to see, then please consider opening it up for universal JavaScript/browser access. For CORS access to anything other than simple, non auth protected resources
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getbible.net getbible.netAPI1
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github.com github.com
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docs.api.bible docs.api.bible
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github.com github.com
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labs.bible.org labs.bible.org
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www.theatlantic.com www.theatlantic.com
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Zhang, S. (2020, December 1). The Long Haul of Vaccine Results Is Just Beginning. The Atlantic. https://www.theatlantic.com/health/archive/2020/12/vaccine-trials-can-still-surprise-us/617247/
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www-nature-com.ezproxy.rice.edu www-nature-com.ezproxy.rice.edu
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Indeed, the cell-lysate approach was found to be associated with superior sensitivity in some cases5.
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Likewise, privacy is an important issue in BCI ethics since the captured neural signals can be used to gain access to a user’s private information. Ethicists have raised concerns about how BCI data is stored and protected.
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logicmag.io logicmag.io
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Alongside the companies that gather data, there are newly powerful companies that build the tools for organizing, processing, accessing, and visualizing it—companies that don’t take in the traces of our common life but set the terms on which it is sorted and seen. The scraping of publicly available photos, for instance, and their subsequent labeling by low-paid human workers, served to train computer vision algorithms that Palantir can now use to help police departments cast a digital dragnet across entire populations.
organizing the mass of information is the real tricky part
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- Dec 2020
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medium.com medium.com
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What is a data-originated component? It’s a kind of component that is primarily designed and built for either: displaying, entering, or customizing a given data content itself, rather than focusing on the form it takes. For example Drawer is a non data-originated component, although it may include some. Whereas Table, or Form, or even Feed are good examples of data-originated components.
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informationisbeautiful.net informationisbeautiful.net
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docdrop.org docdrop.org
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ever transitioning from teaching high school to teaching the university then coming to the to the community college i've become very fascinated with kind of how students move from one to the other
Interesting to see trends in data and identify experiences that indicates continuity from high schools in the area to SPSCC (for instance as a Running start), and then to SMU. What are the variety of pathways that students who enrolled at SPSCC decide to, apply, get admission, and funding. What is the percentage of transfers from SPSCC to SMU?
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academic.oup.com academic.oup.com
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flow cytometry data were analyzed in R using the flowCore Bioconductor package (
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medium.com medium.com
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“provenance” — broadly, where did data arise, what inferences were drawn from the data, and how relevant are those inferences to the present situation? While a trained human might be able to work all of this out on a case-by-case basis, the issue was that of designing a planetary-scale medical system that could do this without the need for such detailed human oversight.
Data Provenance
The discipline of thinking about:
(1) where did the data arise? (2) what inferences were drawn (3) how relevant are those inferences to the present situation?
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There is a different narrative that one can tell about the current era. Consider the following story, which involves humans, computers, data and life-or-death decisions, but where the focus is something other than intelligence-in-silicon fantasies. When my spouse was pregnant 14 years ago, we had an ultrasound. There was a geneticist in the room, and she pointed out some white spots around the heart of the fetus. “Those are markers for Down syndrome,” she noted, “and your risk has now gone up to 1 in 20.” She further let us know that we could learn whether the fetus in fact had the genetic modification underlying Down syndrome via an amniocentesis. But amniocentesis was risky — the risk of killing the fetus during the procedure was roughly 1 in 300. Being a statistician, I determined to find out where these numbers were coming from. To cut a long story short, I discovered that a statistical analysis had been done a decade previously in the UK, where these white spots, which reflect calcium buildup, were indeed established as a predictor of Down syndrome. But I also noticed that the imaging machine used in our test had a few hundred more pixels per square inch than the machine used in the UK study. I went back to tell the geneticist that I believed that the white spots were likely false positives — that they were literally “white noise.” She said “Ah, that explains why we started seeing an uptick in Down syndrome diagnoses a few years ago; it’s when the new machine arrived.”
Example of where a global system for inference on healthcare data fails due to a lack of data provenance.
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www.nature.com www.nature.com
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Cyranoski, D. (2020). Arab nations first to approve Chinese COVID vaccine—Despite lack of public data. Nature, 588(7839), 548–548. https://doi.org/10.1038/d41586-020-03563-z
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graphics.stanford.edu graphics.stanford.edu
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Treemaps are a visualization method for hierarchies based on enclosure rather than connection [JS91]. Treemaps make it easy to spot outliers (for example, the few large files that are using up most of the space on a disk) as opposed to parent-child structure.
Treemaps visualize enclosure rather than connection. This makes them good visualizations to spot outliers (e.g. large files on a disk) but not for understanding parent-child relationships.
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github.com github.com
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One way to do that is to export them from @sapper/app directly, and rely on the fact that we can reset them immediately before server rendering to ensure that session data isn't accidentally leaked between two users accessing the same server.
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www.thelancet.com www.thelancet.com
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Gatalo. O., Tseng. K., Hamilton. A., Lin., G. Klein., E. (2020). Associations between phone mobility data and COVID-19 cases. The Lancet Infectious Diseases. https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(20)30725-8/fulltext
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twitter.com twitter.com
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ReconfigBehSci @SciBeh (2020) For those who might think this issue isn't settled yet, the piece include below has further graphs indicating just how much "protecting the economy" is associated with "keeping the virus under control" Twitter. Retrieved from: https://twitter.com/i/web/status/1306216113722871808
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www.projectionscentral.com www.projectionscentral.com
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www.symphonyretailai.com www.symphonyretailai.com
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leighblackall.blogspot.com leighblackall.blogspot.com
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I haven't met anyone who makes this argument who then says that a one stop convenient, reliable, private and secure online learning environment can’t be achieved using common every day online systems
Reliable: As a simple example, I'd trust Google to maintain data reliability over my institutional IT support.
And you'd also need to make the argument for why learning needs to be "private", etc.
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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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www.gq.com www.gq.com
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And then there was what Lanier calls “data dignity”; he once wrote a book about it, called Who Owns the Future? The idea is simple: What you create, or what you contribute to the digital ether, you own.
See Tim Berners-Lee's SOLID project.
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Julienne, H., Lavin, C., Belton, C., Barjakova, M., Timmons, S., & Lunn, P. D. (2020, December 3). Behavioural pre-testing of COVID Tracker, Ireland’s contact-tracing app. https://doi.org/10.31234/osf.io/9cguq
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developers.cloudflare.com developers.cloudflare.com
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interference2020.org interference2020.org
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stackoverflow.blog stackoverflow.blog
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Venturebeat reports that 87% of data science projects never make it to production, while redapt claims it is 90%.
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www.vilhuber.com www.vilhuber.com
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a
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- Nov 2020
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www.nature.com www.nature.com
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Nogrady, B. (2020). What the data say about asymptomatic COVID infections. Nature, 587(7835), 534–535. https://doi.org/10.1038/d41586-020-03141-3
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advances.sciencemag.org advances.sciencemag.org
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Charoenwong, B., Kwan, A., & Pursiainen, V. (2020). Social connections with COVID-19–affected areas increase compliance with mobility restrictions. Science Advances, 6(47), eabc3054. https://doi.org/10.1126/sciadv.abc3054
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digitalguardian.com digitalguardian.com
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Identify, classify, and apply protective measures to sensitive data. Data discovery and data classification solutions help to identify sensitive data and assign classification tags dictating the level of protection required. Data loss prevention solutions apply policy-based protections to sensitive data, such as encryption or blocking unauthorized actions, based on data classification and contextual factors including file type, user, intended recipient/destination, applications, and more. The combination of data discovery, classification, and DLP enable organizations to know what sensitive data they hold and where while ensuring that it's protected against unauthorized loss or exposure.
[[BEST PRACTICES FOR DATA EGRESS MANAGEMENT AND PREVENTING SENSITIVE DATA LOSS]]
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Egress filtering involves monitoring egress traffic to detect signs of malicious activity. If malicious activity is suspected or detected, transfers can be blocked to prevent sensitive data loss. Egress filtering can also limit egress traffic and block attempts at high volume data egress.
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Data Egress vs. Data IngressWhile data egress describes the outbound traffic originating from within a network, data ingress, in contrast, refers to the reverse: traffic that originates outside the network that is traveling into the network. Egress traffic is a term used to describe the volume and substance of traffic transferred from a host network to an outside network.
[[DATA EGRESS VS. DATA INGRESS]]
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Data Egress MeaningData egress refers to data leaving a network in transit to an external location. Outbound email messages, cloud uploads, or files being moved to external storage are simple examples of data egress. Data egress is a regular part of network activity, but can pose a threat to organizations when sensitive data is egressed to unauthorized recipients.Examples of common channels for data egress include:EmailWeb uploadsCloud storageRemovable media (USB, CD/DVD, external hard drives)FTP/HTTP transfers
[[Definition/Data Egress]]
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What is Data Egress? Managing Data Egress to Prevent Sensitive Data Loss
[[What is Data Egress? Managing Data Egress to Prevent Sensitive Data Loss]]
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www.verisign.com www.verisign.com
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Why let other websites and social platforms tell your story? Share the real, authentic you the way you want to, and when you want to.
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web.archive.org web.archive.org
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Portable... your .name address works with any email or web service. With our automatic forwarding service on third level domains, you can change email accounts, your ISP, or your job without changing your email address. Any mail sent to your .name address arrives in any email box you choose.
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openlibrary.org openlibrary.org
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The ultimate goal of the Open Library is to make all the published works of humankind available to everyone in the world. While large in scope and ambition, this goal is within our grasp.
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www.indeed.com www.indeed.com
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In-depth questionsThe following interview questions enable the hiring manager to gain a comprehensive understanding of your competencies and assess how you would respond to issues that may arise at work:What are the most important skills for a data engineer to have?What data engineering platforms and software are you familiar with?Which computer languages can you use fluently?Do you tend to focus on pipelines, databases or both?How do you create reliable data pipelines?Tell us about a distributed system you've built. How did you engineer it?Tell us about a time you found a new use case for an existing database. How did your discovery impact the company positively?Do you have any experience with data modeling?What common data engineering maxim do you disagree with?Do you have a data engineering philosophy?What is a data-first mindset?How do you handle conflict with coworkers? Can you give us an example?Can you recall a time when you disagreed with your supervisor? How did you handle it?
deeper dive into [[Data Engineer]] [[Interview Questions]]
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psyarxiv.com psyarxiv.com
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Bauer, B., Larsen, K. L., Caulfield, N., Elder, D., Jordan, S., & Capron, D. (2020). Review of Best Practice Recommendations for Ensuring High Quality Data with Amazon’s Mechanical Turk. PsyArXiv. https://doi.org/10.31234/osf.io/m78sf
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knightcolumbia.org knightcolumbia.org
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to be listed on Mastodon’s official site, an instance has to agree to follow the Mastodon Server Covenant which lays out commitments to “actively moderat[e] against racism, sexism, homophobia and transphobia”, have daily backups, grant more than one person emergency access, and notify people three months in advance of potential closure. These indirect methods are meant to ensure that most people who encounter a platform have a safe experience, even without the advantages of centralization.
Some of these baseline protections are certainly a good idea. The idea of advance notice of shut down and back ups are particularly valuable.
I'd not know of the Mastodon Server Covenant before.
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www.samaritans.org www.samaritans.org
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Samaritans responds to NCISH’s 2020 suicide figures in England. (n.d.). Samaritans. Retrieved 18 November 2020, from https://www.samaritans.org/news/samaritans-responds-ncish-new-suicide-figures-england/
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Local file Local file
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The Hierarchy of AnalyticsAmong the many advocates who pointed out the discrepancy between the grinding aspect of data science and the rosier depictions that media sometimes portrayed, I especially enjoyed Monica Rogati’s call out, in which she warned against companies who are eager to adopt AI:Think of Artificial Intelligence as the top of a pyramid of needs. Yes, self-actualization (AI) is great, but you first need food, water, and shelter (data literacy, collection, and infrastructure).This framework puts things into perspective.
[[the hierarchy of analytics]]
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www.proctoru.com www.proctoru.com
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aberrant behavior
Is there data on hand that shows these companies actually prevent cheating? How many instances of 'aberrant behavior' actually materialize into cheating offenses?
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keystroke biometrics, ID capture, and facial analysis
I feel like I'm seeing various responses to what data is actually captured. To me, it doesn't seem like they are consistent in their responses about the types of data collected.
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dagster.io dagster.ioDagster3
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Maybe your dbt models depend on source data tables that are populated by Stitch ingest, or by heavy transform jobs running in Spark. Maybe the tables your models build are depended on by analysts building reports in Mode, or ML engineers running experiments using Jupyter notebooks. Whether you’re a full-stack practitioner or a specialized platform team, you’ve probably felt the pain of trying to track dependencies across technologies and concerns. You need an orchestrator.Dagster lets you embed dbt into a wider orchestration graph.
It can be common for [[data models]] to rely on other sources - where something like [[Dagster]] fits in - is allowing your dbt fit into a wider [[orchestration graph]]
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We love dbt because of the values it embodies. Individual transformations are SQL SELECT statements, without side effects. Transformations are explicitly connected into a graph. And support for testing is first-class. dbt is hugely enabling for an important class of users, adapting software engineering principles to a slightly different domain with great ergonomics. For users who already speak SQL, dbt’s tooling is unparalleled.
when using [[dbt]] the [[transformations]] are [[SQL statements]] - already something that our team knows
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What is dbt?dbt was created by Fishtown Analytics to enable data analysts to build well-defined data transformations in an intuitive, testable, and versioned environment.Users build transformations (called models) defined in templated SQL. Models defined in dbt can refer to other models, forming a dependency graph between the transformations (and the tables or views they produce). Models are self-documenting, easy to test, and easy to run. And the dbt tooling can use the graph defined by models’ dependencies to determine the ancestors and descendants of any individual model, so it’s easy to know what to recompute when something changes.
one of the [[benefits of [[dbt]]]] is that the [[data transformations]] or [[data models]] can refer to other models, and help show the [[dependency graph]] between transformatios
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dagster.io dagster.ioDagster1
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self-service data platform
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blog.getdbt.com blog.getdbt.com
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The attribution data modelIn reality, it’s impossible to know exactly why someone converted to being a customer. The best thing that we can do as analysts, is provide a pretty good guess. In order to do that, we’re going to use an approach called positional attribution. This means, essentially, that we’re going to weight the importance of various touches (customer interactions with a brand) based on their position (the order they occur in within the customer’s lifetime).To do this, we’re going to build a table that represents every “touch” that someone had before becoming a customer, and the channel that led to that touch.
One of the goals of an [[attribution data model]] is to understand why someone [[converted]] to being a customer. This is impossible to do accurately, but this is where analysis comes in.
There are some [[approaches to attribution]], one of those is [[positional attribution]]
[[positional attribution]] is that we are weighting the importance of touch points - or customer interactions, based on their position within the customer lifetime.
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Marketers have been told that attribution is a data problem -- “Just get the data and you can have full knowledge of what’s working!” -- when really it’s a data modeling problem. The logic of your attribution model, what the data represents about your business, is as important as the data volume. And the logic is going to change based on your business. That’s why so many attribution products come up short.
attribution isn't a data problem, it's a data modeling problem]] - it's not just the data, but what the data represents about your business.
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dzone.com dzone.com
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josephg.com josephg.com
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I increasingly don’t care for the world of centralized software. Software interacts with my data, on my computers. Its about time my software reflected that relationship. I want my laptop and my phone to share my files over my wifi. Not by uploading all my data to servers in another country. Especially if those servers are financed by advertisers bidding for my eyeballs.
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- Oct 2020
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beepb00p.xyz beepb00p.xyz
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This is until you realize you're probably using at least ten different services, and they all have different purposes, with various kinds of data, endpoints and restrictions. Even if you have the capacity and are willing to do it, it's still damn hard.
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Hopefully we can agree that the current situation isn't so great. But I am a software engineer. And chances that if you're reading it, you're very likely a programmer as well. Surely we can deal with that and implement, right? Kind of, but it's really hard to retrieve data created by you.
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datavizcatalogue.com datavizcatalogue.com
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www.youtube.com www.youtube.com
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Online Research Tools and Techniques. (2020, September 16). https://www.youtube.com/watch?v=wGWqBtDkOFs
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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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final-form.org final-form.org
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Note: it does not mutate the object, but returns a new object.
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www.cdc.gov www.cdc.gov
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Cates, J. (2020). Risk for In-Hospital Complications Associated with COVID-19 and Influenza—Veterans Health Administration, United States, October 1, 2018–May 31, 2020. MMWR. Morbidity and Mortality Weekly Report, 69. https://doi.org/10.15585/mmwr.mm6942e3
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arxiv.org arxiv.org
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Elmas, T., Overdorf, R., Akgül, Ö. F., & Aberer, K. (2020). Misleading Repurposing on Twitter. ArXiv:2010.10600 [Cs]. http://arxiv.org/abs/2010.10600
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www.ages.at www.ages.at
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Epidemiologische Abklärung Covid 19. (n.d.). AGES - Österreichische Agentur Für Gesundheit Und Ernährungssicherheit. Retrieved October 28, 2020, from https://www.ages.at/themen/krankheitserreger/coronavirus/epidemiologische-abklaerung-covid-19/
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ecfr.federalregister.gov ecfr.federalregister.gov
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(d) All calculations shown in this appendix shall be implemented on a site-level basis. Site level concentration data shall be processed as follows: (1) The default dataset for PM2.5 mass concentrations for a site shall consist of the measured concentrations recorded from the designated primary monitor(s). All daily values produced by the primary monitor are considered part of the site record; this includes all creditable samples and all extra samples. (2) Data for the primary monitors shall be augmented as much as possible with data from collocated monitors. If a valid daily value is not produced by the primary monitor for a particular day (scheduled or otherwise), but a value is available from a collocated monitor, then that collocated value shall be considered part of the combined site data record. If more than one collocated daily value is available, the average of those valid collocated values shall be used as the daily value. The data record resulting from this procedure is referred to as the “combined site data record.”
- Calculate mean of all collocated NON-primary monitors' values per day
- Coalesce primary monitor value with this calculated mean
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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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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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www.bertelsmann-stiftung.de www.bertelsmann-stiftung.de
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www.nytimes.com www.nytimes.com
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Leatherby, L. (2020, October 15). U.S. Virus Cases Climb Toward a Third Peak. The New York Times. https://www.nytimes.com/interactive/2020/10/15/us/coronavirus-cases-us-surge.html
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philonedtech.com philonedtech.com
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Institutions that were primarily online before the pandemic are also doing well. At colleges where more than 90 percent of students took courses solely online pre-pandemic, enrollments are growing for both undergraduate (6.8 percent) and graduate students (7.2 percent).
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final-form.org final-form.org
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If you define a variable outside of your form, you can then set the value of that variable to the handleSubmit function that 🏁 React Final Form gives you, and then you can call that function from outside of the form.
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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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github.com github.com
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We could freeze the objects in the model but don't for efficiency. (The benefits of an immutable-equivalent data structure will be documented in vtree or blog post at some point)
first sighting: "immutable-equivalent data"
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A VTree is designed to be equivalent to an immutable data structure. While it's not actually immutable, you can reuse the nodes in multiple places and the functions we have exposed that take VTrees as arguments never mutate the trees.
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github.com github.com
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We don't know if the passed in props is a user created object that can be mutated so we must always clone it once.
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www.sciencedirect.com www.sciencedirect.com
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Howard, M. C. (2021). Gender, face mask perceptions, and face mask wearing: Are men being dangerous during the COVID-19 pandemic? Personality and Individual Differences, 170, 110417. https://doi.org/10.1016/j.paid.2020.110417
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thispersondoesnotexist.com thispersondoesnotexist.com
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;
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twitter.com twitter.com
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(((Howard Forman))) on Twitter. (n.d.). Twitter. Retrieved October 12, 2020, from https://twitter.com/thehowie/status/1315418282590121984
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www.reddit.com www.reddit.com
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