Philip Shapira

How can scientists and engineers systematically consider the societal consequences of their research at its early stages without adding another costly layer of assessment?

In a new paper, co-authored with Sergio Pelaez, Barbara Esteves-Ribeiro and Gaurav Verma, we develop a method for identifying societal value embedded in patent documents.

Artificial intelligence (AI) is changing how scientists work, but does it actually help create better science?

New technology projects often need a fast and inexpensive way to identify possible sustainability impacts at an early stage.

In a preprint posted in November 2025, John P.

The University of Manchester media team has posted a nice piece on work (with Cornelia Lawson, Liangping Ding & Julie Jebsen at the Manchester Institute Of Innovation Research) probing how will AI advance science?

The latest (November 2025) preprint from our AI in the Lab project at the Manchester Institute Of Innovation Research.

Reshaping Science with AI panel (left to right): Priscila Ferri, Mark Johnson, Julie Jebsen, Hujun Yin, and Philip Shapira A workshop on “Innovations in the Lab: Leveraging Transformations in Science”, held at the Alliance Manchester Business School on the

Our new study on the Rise of Generative Artificial Intelligence in Science shows that Generative Artificial Intelligence (GenAI) is playing an increasingly significant role in research, with growing use across disciplines.

“The “Biodiversity Moonshot” should be understood as both a symbolic and practical catalyst for a profound rethinking of the business–nature relationship.