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K e y n o t e   S p e a k e r s

Senior Research Scientist and Director of Data Science and Product Research at the Institute for Quantitative Social Science, Harvard University. Formerly officer at European Commission, Joint Research Centre, Ispra (VA) 2019-2022, professor of Statistics at the University of Milan (IT) 1999-2019, Stefano M. Iacus is the Director of the Data Science Lab. He has been a member of the R Core Team for the development of the R statistical environment and now member of the R Foundation for Statistical Computing. He is also a co-founder of VOICES from the Blogs, a spinoff company of the University of Milan, specialised in Social Media and Big Data Analysis. His research interests include inference for stochastic processes, simulation, quantitative finance, computational statistics, causal inference, text mining, and sentiment analysis.

Harvard University, USA

Professor at the Université de Franche-Comté (FR), and member of the ELLIAD Laboratory, Max Silberztein is the author of the NooJ software, which has been used to formalise linguistic phenomena over 30 natural languages, to perform various corpus analyses in Corpus Linguistics and the Digital Humanities, and to develop Natural Language Processing linguistic-based applications. He worked at the Institute for the Learning Sciences at Northwestern University (USA) and at the IBM Watson Research Center (USA). Currently, he is the President of the NooJ Association, which includes researchers from all over the world.

Université de Franche-Comté, FR

Professor at the Universidad de Cádiz (ES), Manuel J. Cobo Martín developed the open access SciMAT software for science mapping, which has been used to analyse and visualise thematic patterns and trends in several research domains. He is the Principal Researcher of IntellSOK, a multidisciplinary research group focusing both on theoretical advancement and on the transfer and application of techniques developed in social areas and health sciences, among others. His research interests include bibliometric, science mapping analysis, social networks, artificial intelligence, data mining, and information science.

Universidad de Cádiz, ES

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