Could Distributed Peer Review Better Decide Grant Funding?
The landscape of academic grant funding is notoriously competitive and plagued by lengthy, bureaucratic processes, exacerbated by difficulties in finding willing reviewers. Distributed […]
Researchers are dealing with a disturbing trend that threatens the foundation of scientific progress: scientific fraud has become an industry. And it’s […]
In July, the United States government made it clear that artificial intelligence (AI) companies wanting to do business with the White House […]
David Canter proposes that what makes us different from a computer is being here. The fascinating Chinese sports showcase of humanoid robots […]
Generative AI, especially large language models (LLMs), present exciting and unprecedented opportunities and complex challenges for academic research and scholarship. As the […]
When economic news, especially that revolving around working, gets reported, it tends to get reported in aggregate – the total number of […]
Are you a researcher with an idea that could help solve one of today’s most pressing problems? A conference in Dubai this […]
Decisions taken now around how generative AI is used by academics and universities will shape the future of research. Mark Carrigan argues whilst optimistic scenarios are possible, generative AI stands ready to feed into an existing productivity oriented framing of academic work.
A 2024 report by the National Academies explores the latest advances in artificial intelligence (AI) technology and their potential effects on economic productivity, job stability, and income inequality. It also highlights key research opportunities and data needs to help workers and policymakers adapt to the evolving AI landscape.