Cutting NSF Is Like Liquidating Your Finest Investment
Look closely at your mobile phone or tablet. Touch-screen technology, speech recognition, digital sound recording and the internet were all developed using […]
Fudged Research Results Erode People’s Trust in Experts
A database of retractions shows hundreds of academic articles with Australian authors have been withdrawn. Research misconduct threatens to corrode trust in academic qualifications and publications.
Can Africa’s Science Academies Drive Sustainable Development
Most countries in Africa are lagging behind development goal suggested by the United Nations. Science academies have a crucial role to play in developing ways for scientists to help these nations achieve development goals more effectively.
Why Heavy Metal is a Valid – and Vital – PhD Subject
For most people, the idea of academia and heavy metal coming together under a single roof represents a paradox. It’s a misplaced assumption built on ingrained ideas about these two cultural forms.
South Africa’s Universal Man: Johnny Clegg, 1953-2019
The late South African musician Johnny Clegg was also an anthropologist both formally, as a lecturer on ethnography, and informally as he continued a teaching career from the stage.
UC Librarian Foresees Seismic Shift from Elsevier Showdown
In the wake of Elsevier shuttering access to its current journal articles at the University of California, the university librarian at UC-Davis reviews the context of the dispute and argues open access offers the best path for academia’s future.
The World is Due a Revolution in Economics
In economics classes, relentless growth is an unquestioned dogma. Yet this same economic growth is rapidly ripping apart the ecological foundations of our world.
Misinformation and Biases Affect Social Media, Intentionally and Accidentally
Information on social media can be misleading because of biases in three places – the brain, society and algorithms. Scholars are developing ways to identify and display the effects of these biases.
A Tool that Detects the Strength of Hate Speech on Twitter
A new machine learning tool can detect and classify different strengths of Islamophobic hate speech on Twitter. Bertie Vidgen and Taha Yasseri explain their processes in creating a new tool that detects Islamophobic hate speech on Twitter.
