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New #XAI work in journal of Artificial Intelligence #AIJ on counterfactual explanations and how human vs algorithmic explanations often disagree
https://www.sciencedirect.com/science/article/pii/S0004370223001418
New work with Eoghan Cunningham & Barry Smyth on author multidisciplinarity and roles in scientific networks
#NetworkScience #sna
When studying large research corpora, “distant reading” methods are vital to understand the topics and trends in the corresponding research space. In particular, given the recognised benefits of multidisciplinary research, it may be important to map schools or communities of diverse research topics, and to understand the multidisciplinary role that topics play within and between these communities. This work proposes Field of Study (FoS) networks as a novel network representation for use in scientometric analysis. We describe the formation of FoS networks, which relate research topics according to the authors who publish in them, from corpora of articles in which fields of study can be identified. FoS networks are particularly useful for the distant reading of large datasets of research papers when analysed through the lens of exploring multidisciplinary science. In an evolving scientific landscape, modular communities in FoS networks offer an alternative categorisation strategy for research topics and sub-disciplines, when compared to traditional prescribed discipline classification schemes. Furthermore, structural role analysis of FoS networks can highlight important characteristics of topics in such communities. To support this, we present two case studies which explore multidisciplinary research in corpora of varying size and scope; namely, 6323 articles relating to network science research and 4,184,011 articles relating to research on the COVID-19-pandemic.
Impressed with latexify_py rendering LaTeX from #python code
Hi! I'm Assistant Professor at the School of Computer Science, University College Dublin. I'm also part of the SFI Insight Centre, one of the largest data analytics centres in Europe. My background is originally in unsupervised #machinelearning & text mining.
Since then my research has focused on #NetworkScience / #SNA and various aspects of #NLP, plus more general ML problems. I'm particularly interested in interdisciplinary projects in fields like #CulturalAnalytics & #PolSci
