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
Next Steps: How the FDNext Project is Tackling Research Data Management ... and Farewell to Emma
Process Not Product: How the Open Life Science Mentoring Program Creates Open Science Ambassadors
Sprint for your eLife! How the eLife Innovation Sprint Helps Drive Forward Open Science Projects
A Transformative Edge: How Transformative Learning Can Benefit Open Science
The COVID Transmission: How Scientists and Science Journalists Are Communicating During the Pandemic
Unblocking Breakthroughs: How DEIP Are Using Blockchain and Open Science to Provide Innovation Evaluation
A Slice of the Research Cake: The Impact of Open Science in Africa
Know Your Research Rights: The Legal Perspective on Copyright and Open Science
The Utopian Model: How The Neuro Has Become An Open Science Institution
Viral Validation: How the New Journal 'Rapid Reviews: COVID-19' Accelerates Peer Review and Publishing
The Corona Connection: How LabHive and Open Science is Helping Scientists Solve COVID-19
Stemming the Fake Flow: How Unistem Day Reveals the Importance of Science Communication to Students
Licence to share: how Creative Commons brought clarity to the digital rights and enabled fair content reuse across the web.
An Inventive Step: Shobita Parthasarathy on the Role of Patents and Innovation in Science
A New Normal: How the Center for Open Science is Changing How Science is Done
Together Works Better: How Sage Bionetworks Use A Collective Approach To Data
Hindsight is 2020: Reviewing How the ORION Project Impacted Open Science
Life Sciences in the Fast Lane: Dan Qunitana on Rapid Feedback, Tweeting, and Time Management
Are We Doing Good? Discussing Open Science and Scientific Practice at the Doing Good Conference
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