If scientific authors use ChatGPT in writing their papers, it is likely that common ChatGPT words will appear.
Building the bioeconomy
A targeted assessment approach to identifying biobased technologies, challenges and opportunities
Early, Rapid Sustainability Assessment
The Development and Testing of an Early, Rapid Sustainability Assessment Tool for Responsible Innovation in Engineering Biology
#AI4STIP: The AI for Science, Technology, and Innovation Policy Winter School for Early Career Researchers
The Manchester Institute of Innovation Research held a week-long Early-Career Winter School on AI for Science, Technology, and Innovation Policy with over thirty doctoral and post-doctoral participants from ten countries.
Innovation intermediaries
Innovation intermediaries at the convergence of digital technologies, sustainability, and governance: A case study of AI-enabled engineering biology.
Large-Scale Text Analysis Using GLM
Using a generative language model (GPT-4) to produce labels and rationales for large-scale text analysis of Public Value Expressions in AI patent documents.
Analyzing research outcomes and spillovers
A new paper on attempts to go beyond standard ways of reporting research contributions by publicly-sponsored research centers.
How are everyday scientific practices influenced by automation and digitalization?
Mundane work can persist or emerge rather than be eliminated following the automation and digitalization of everyday scientific work.
Robots – lounging about?
It was fascinating to observe, over a rather good early morning breakfast, robots at work in a lounge at Manchester Airport.
Building a Bottom-Up Bioeconomy
What could the future bioeconomy look like? In a piece published in Issues in Science and Technology, we offer a vision of an industrial ecosystem that better meets society’s changing needs.
Philip Shapira 