Gianluca Demartini

Gianluca Demartini is a leading researcher in the field of information retrieval, data curation, and human-AI collaboration. He is currently a professor at the University of Glasgow, where he leads the Information Retrieval and Data Curation research group. His work focuses on the intersection of human and machine intelligence, particularly in the context of data quality, bias management, and the development of systems that support human-in-the-loop data curation processes. Demartini has made significant contributions to the understanding of how crowdsourcing and AI can be combined to improve the accuracy and reliability of information retrieval systems. He is also known for his work on the challenges and opportunities of managing data bias and ensuring fairness in AI systems. His research has been widely published in top-tier conferences and journals, including ACM SIGIR, ACM Transactions on Information Systems, and Communications of the ACM. Demartini is a frequent speaker at international conferences and has been involved in several strategic workshops on information retrieval and data curation. His work has had a significant impact on both academic research and industry practices, particularly in the areas of data quality, bias management, and human-AI collaboration.

Gianluca Demartini is a Professor specializing in Information Retrieval, Semantic Web, Human Computation, and Crowdsourcing. His research explores the intersection of these fields, focusing on large-scale entity linking, malicious behavior in crowdsourcing platforms, and ethical challenges in using social media data. He investigates micro-task crowdsourcing dynamics, misinformation detection, and the role of human-in-the-loop AI in combating online falsehoods. His work also addresses linked data integration, probabilistic reasoning, and the impact of judgment scales on misinformation assessments. Demartini's contributions span from technical innovations in search systems to socio-technical analyses of crowdsourcing environments.