Assessment of academic work in AI using Bibliometrics: The Case of Lund University

Abstract

Artificial Intelligence (AI) is considered as “General Purpose Technology” that could have large impact effects in several sectors and cause disruptive changes in societies. Universities are often seen as the seedbeds of new knowledge and scientific research, as a point of departure, by using bibliometric approach we aim to assess the scientific output for AI, to understand the characteristics and potential of AI research at Lund University. The preliminary findings showed the diverse partnerships of LU scientists with other universities, companies, research institutes, and hospitals, funding agencies, and international partnerships. Our study aims to establish the groundwork for future assessments of AI research in a sustainable and transparent manner. We plan to identify both traditional scientific inputs and outputs, to unpack the unknown dimensions of academic work at universities, with a more holistic approach to assess academic work and pave the way for future studies.