Vinicius Woloszyn

Vinicius Woloszyn is currently a Project Leader and Post-Doc Researcher at the Quality and Usability Lab within Deutsche Telekom Laboratories at Technical University of Berlin. His work focuses on natural language processing applications for social good, particularly in combating disinformation and addressing climate change through technological solutions.

Dr. Woloszyn received his Ph.D. from the Federal University of Rio Grande do Sul (Brazil) with research on Unsupervised Machine Learning Methods for Natural Language Processing. His academic journey includes:

• Visiting Scholar at Grenoble Informatics Laboratory (France) in 2014
• Research at Austrian Research Institute for Artificial Intelligence (Austria) in 2016
• Visiting Scholar at Universitat Pompeu Fabra (Spain) in 2017
• Researcher at Leibniz Universität Hannover (Germany) in 2018

Dr. Woloszyn's research spans multiple interdisciplinary areas at the intersection of artificial intelligence and societal challenges. His primary interests include Natural Language Processing with specific focus on Text Summarization, Question Answering, and Named Entity Recognition. He has made significant contributions to Open Science initiatives, particularly regarding Open Data and the Usability of Research Data. A substantial portion of his recent work addresses Disinformation through Fake News Detection and Knowledge Base Creation. More recently, he has expanded his research to apply AI techniques to Climate Change issues and Learning Analytics.

His publication record demonstrates a clear trajectory toward developing AI solutions for societal challenges. The most recent works focus on regulatory implications of AI content moderation, automatic detection of green claims to combat greenwashing, and systems for improving fact-checking processes. These publications reveal a researcher deeply engaged with real-world applications of NLP technology to address misinformation and environmental sustainability.

Dr. Woloszyn actively contributes to the academic community through service on scientific committees including the Annual Meeting of the Association for Computational Linguistics (ACL 2020), International Conference on Language Resources and Evaluation (LREC 2020), and The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2019). He also serves as a reviewer for various conferences and journals.

As Project Leader, he oversees several significant initiatives including the Berlin Open Science Platform, Untrue.News (a search engine for fake stories), and CLIFA (a collaborative platform for climate change facts). His current working projects span from language model evaluation to climate change applications, Python interfaces for research data, learning analytics platforms, and multilingual fact-checking systems.