Nikola Ljubešić
Nikola is a data scientist specialising in computational linguistics, text and speech processing, computational social science, under-resourced languages, South Slavic languages, and AI for societal development.
Alongside his work as part of the Datavysts, Nikola is undertaking a range of other data science and AI related projects, including Large Language Models for Digital Humanities (ARIS).
Achievements include
- Co-founder of ReLDI Centre in Belgrade: home of computational text processing, quantitative analyses of language data, and related didactic activities
- Co-author of: Findings of the 2019 conference on machine translation (WMT19)
- Previously assistant professor at the Department of Information and Communication Sciences at the Faculty of Humanities and Social Sciences, University of Zagreb, where he taught natural language processing on both undergraduate and graduate levels
- Holds a PhD in information science, a masters in German language and literature, and a masters in information science
- Member of various linguistics associations, including the Association for Computational Linguistics, and the European Association for Computational Linguistics
In my own words…
AI is reshaping how we can process data. While data science traditionally relied on shallow processing of large amounts of data, this paradigm is now heavily empowered by deep, semantic processing. This is a great opportunity to further develop our societies!
We have to develop a collaboration paradigm between social sciences on one side and data science and AI on the other. Too often are social sciences misunderstood as something of lesser quality, while they simply aim to understand processes that are of radically higher complexity than those of technical sciences. Datavysts have to “marry” these two paradigms into one.
The legacy I’d like the Datavysts to leave is a new level of understanding of the complexity of societal processes, coupled with the technological capacity to empower this understanding.