Using Natural Language Processing (NLP) in classification of Social Sciences and Humanities research and societal impact

The European Network for Research Evaluation in the Social Sciences and the Humanities (ENRESSH) in partnership with the Research on Research Institute (RoRI) is proud to present the next webinar in its series on research evaluation as it is practiced across disciplines and countries.

We are opening a new thematic line on AI in research assessment with the presentation of two classification exercises using Natural Language Processing (NLP).

MODERATOR
Special advisor Dr Jon Holm, Research Council of Norway

SPEAKERS
Topic modeling of SSH publications from the VABB publication database
Senior researcher Dr Raf Guns, Flemish Centre for Research & Development Monitoring (ECOOM), Antwerp University

Classifying REF impact cases by user groups – a lexical approach
Professor Andrea Bonaccorsi, Economics and Management at the School of Engineering of the University of Pisa

RESPONDENT
Dr Denis Newman-Griffis Lecturer in Data Science, University of Sheffield, and a Research Fellow of the Research on Research Institute

SPEAKERS

Raf Guns (he) is a senior researcher at the University of Antwerp, where he coordinates the Antwerp branch of the Flemish Centre for Research & Development Monitoring (ECOOM). His research focuses on quantitative science studies, addressing topics like interdisciplinarity, open science, and the characteristics of the social sciences and humanities.

Andrea Bonaccorsi (he) is a Professor of Economics and Management at the School of Engineering of the University of Pisa. His main areas of research are economics of science and innovation. With more than 200 works, he is listed in the top 2% of world scientists.

Denis Newman-Griffis(they/them) is a Lecturer in Data Science at the University of Sheffield, a Research Fellow of the Research on Research Institute, and a British Academy Innovation Fellow. Their research investigates the principles and practices of Responsible AI, focusing on health and disability as well as public sector governance. They lead the Research on Research Institute’s GRAIL project on Responsible AI and Machine Learning for research funding and evaluation, and they are an active participant in Responsible AI policy discussions in research, education, and government.

Register on Eventbrite.