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.
Author: Philip Shapira
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.
Inclusive innovation districts
Can urban innovation districts be more inclusive? asks a Research Professional News opinion piece written by Alina Kadyrova, Kieron Flanagan, Philip Shapira and Elvira Uyarra.
Commercializing networks in emerging technologies
Commercialization networks in emerging technologies: the case of UK nanotechnology small and midsize enterprises. Fatemeh Salehi, Philip Shapira, and Judy … More
Technological innovation dynamics in artificial intelligence domains
AI patents are analyzed to map technological innovation trends and patterns.
Policy interactions with research trajectories
The case of cyber-physical convergence in manufacturing and industrials. With Tausif Bordoloi and Paul Mativenga, I am a co-author of “Policy interactions … More
“Research Pivots” during the pandemic
I have posted an initial bibliometric analysis of scientific publications and COVID-19 “research pivots” during the 2020 coronavirus pandemic (to date).
Philip Shapira 