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  1. Last 7 days
  2. Nov 2021
    1. "The Guide to Social Science Data Preparation and Archiving is aimed at those engaged in the cycle of research, from applying for a research grant, through the data collection phase, and ultimately to preparation of the data for deposit in a public archive: " from tweet

  3. Oct 2021
  4. Sep 2021
  5. Aug 2021
  6. Jul 2021
    1. 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

  7. Jun 2021
    1. Woolf, K., McManus, I. C., Martin, C. A., Nellums, L. B., Guyatt, A. L., Melbourne, C., Bryant, L., Gogoi, M., Wobi, F., Al-Oraibi, A., Hassan, O., Gupta, A., John, C., Tobin, M. D., Carr, S., Simpson, S., Gregary, B., Aujayeb, A., Zingwe, S., … Pareek, M. (2021). Ethnic differences in SARS-CoV-2 vaccine hesitancy in United Kingdom healthcare workers: Results from the UK-REACH prospective nationwide cohort study [Preprint]. Public and Global Health. https://doi.org/10.1101/2021.04.26.21255788

    1. Green and Murphy,Renaissance Rhetoric; Plett,English Renaissance; Middleton,Memory Systems; British Library,Incunabula Short Title Catalogue. Green and Murphy were the primary source. Middleton and Plett, who compiled memorytreatises as a distinct category, allowed me to add extra titles to Green and Murphy’s listings. An Excel file containing the266 early modern treatises graphed here can be emailed upon request.

      Sources of data for this paper. I'd definitely love to get a copy of this Excel file. Might be worth expanding to other languages, countries, and timeperiods as well.

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  8. May 2021
    1. Dr Nisreen Alwan 🌻. (2020, March 14). Our letter in the Times. ‘We request that the government urgently and openly share the scientific evidence, data and modelling it is using to inform its decision on the #Covid_19 public health interventions’ @richardhorton1 @miriamorcutt @devisridhar @drannewilson @PWGTennant https://t.co/YZamKCheXH [Tweet]. @Dr2NisreenAlwan. https://twitter.com/Dr2NisreenAlwan/status/1238726765469749248

  9. Apr 2021
    1. Mehdi Hasan. (2021, April 12). ‘Given you acknowledged...in March 2020 that Asian countries were masking up at the time, saying we shouldn’t mask up as well was a mistake, wasn’t it... At the time, not just in hindsight?’ My question to Dr Fauci. Listen to his very passionate response: Https://t.co/BAf4qp0m6G [Tweet]. @mehdirhasan. https://twitter.com/mehdirhasan/status/1381405233360814085

  10. Mar 2021
    1. 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

    1. 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

  11. Feb 2021
  12. Jan 2021
  13. Dec 2020
  14. Oct 2020
    1. A statistician is the exact same thing as a data scientist or machine learning researcher with the differences that there are qualifications needed to be a statistician, and that we are snarkier.
  15. Sep 2020
    1. Had it not been for the attentiveness of one person who went beyond the task of classifying galaxies into predetermined categories and was able to communicate this to the researchers via the online forum, what turned out to be important new phenomena might have gone undiscovered.

      Sometimes our attempts to improve data quality in citizen science projects can actually work against us. Pre-determined categories and strict regulations could prevent the reporting of important outliers.

  16. Aug 2020