The ORION Open Science Podcast
Education
Episode Summary
In this episode we talked about 'almighty' algorithms with Carlos Castillo, Lorenzo Porcaro, Marzieh Karimihaghighi, David Solans, and Francesco Fabbri from the Web Science & Social Computing Research Group, and the department of Engineering in Information & Communication Technologies, in Universitat Pompeu Fabra in Barcelona. We discussed how bias can enter into algorithm systems, how bias is measured, and what systems are impacted by it.
Episode Links
A Week's Worth of SciComm: Berlin Science Week and the Value of Science Communication
Compound Interest: Discussing the EU Open Screen Project at the MDC
You Don't Say! Emma Dorris on Public Engagement and How Discussions with the Public Improve Research
A Public Scandal: Paola Masuzzo on the Absurdity of Locking Up Knowledge
The FAIR is in Town: figshare, The Turing Way, and Open Science Quest at the OSFAIR2019
Laying it all out: How The Science Breaker is supporting lay summaries and science communication
A Skeptic's Guide to Open Science: Steven Novella on tackling biases, publication noise, and pseudoscience
A Metric for Optimism: John Ioannidis on Reproducibility, Preregistration, and Data Sharing
'There is no spoon': Imagining Science Without Journals
Public Money? Public Code: What 'Free' Software Really Means in Research
An Ignoble Pursuit: Laughing and Thinking about Science Communication and the Ig Nobel Prize
Signing up to Open Science: Open Peer Review and Aligning Core Values
Open Data: FAIR, foul, and meta
Retraction Watch, Research Integrity, and Peer Review
Aubrey De Grey, Aging, and Alternative Approaches to Research
Communicating Animal Research Part 2
Communicating Animal Research Part 1
Preprints: what do scientists think?
Rewriting Diversity: Editing Wikipedia and Opening Science
Is science self-correcting?
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