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Träfflista för sökning "WFRF:(Jones Michael) ;conttype:(scientificother)"

Sökning: WFRF:(Jones Michael) > Övrigt vetenskapligt/konstnärligt

  • Resultat 1-10 av 35
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1.
  • Kehoe, Laura, et al. (författare)
  • Make EU trade with Brazil sustainable
  • 2019
  • Ingår i: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 364:6438, s. 341-
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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2.
  • Benjamin, Daniel J., et al. (författare)
  • Redefine statistical significance
  • 2018
  • Ingår i: Nature Human Behaviour. - : Nature Research (part of Springer Nature). - 2397-3374. ; 2:1, s. 6-10
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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3.
  • Jandrić, Petar, et al. (författare)
  • Teaching in the Age of Covid-19
  • 2020
  • Ingår i: Postdigital Science and Education. - : Springer Science and Business Media LLC. - 2524-4868 .- 2524-485X. ; 2:3, s. 1069-1230
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • A collection of 84 author's testimonies and workspace photographs between 18 March and 5 May 2020.
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  • Czeszumski, Artur, et al. (författare)
  • #EEGManyLabs: Investigating the Replicability of Influential EEG Experiments
  • 2024
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • There is growing awareness across the neuroscience community that the replicability of findings on the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardized analysis pipelines. Inspired by efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalography (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound influence on our understanding of human cognition, but there is limited evidence on the replicability of some of the most highly cited discoveries. After a systematic search and selection process, we have identified 27 of the most influential and continually cited studies in the field. We plan to directly test the replicability of key findings from 20 of these studies in teams of at least three independent laboratories. The design and protocol of each replication effort will be submitted as a Registered Report and peer-reviewed prior to data collection. Prediction markets, open to all EEG researchers, will be used as a forecasting tool to examine which findings the community expects to replicate. This project will update our confidence in some of the most influential EEG findings and generate a large open access database that can be used to inform future research practices. Finally, through this international effort, we hope to create a cultural shift towards inclusive, high-powered multi-laboratory collaborations.
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8.
  • Gahoonia, Simy Kaur, et al. (författare)
  • Upon Not Opening The Black Box
  • 2020
  • Ingår i: CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. - New York, NY, USA : ACM Digital Library. - 9781450368193
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • On the eve of the General Data Protection Regulation (GDPR) coming into effect we, a university laboratory, marked the occasion with an interactive installation called Compliance. Data traces from Compliance were subsequently processed by the lab, here enacted in the form of a play. While much discussion has centered around modern 'black-boxed' processing of data, less attention has been paid to the value of the data itself, and whether it merits use. We draw on dramaturgical methods for both analysis and presentation [15], allowing for readers to imagine staging their own, different, versions of the event. Drawing on the ambiguous ontological status of (yet unexamined) data, we offer a discussion on the value of data, its use and non-use, as well as how to live with this ambivalence, continuously negotiating social contracts about our further conduct with the data.   
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