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Professor Gianluca Demartini
Professor

Gianluca Demartini

Email: 
Phone: 
+61 7 336 58325

Overview

Background

Dr. Gianluca Demartini is a Professor in Data Science and an ARC Future Fellow at the University of Queensland, Australia. His main research interests include Information Retrieval, Semantic Web, and Human Computation. His research is currently funded by the Australian Research Council, the Swiss National Science Foundation, Meta, Google, and the Wikimedia Foundation. He received Best Paper Awards at the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) in 2023, AAAI Conference on Human Computation and Crowdsourcing (HCOMP) in 2018, at the European Conference on Information Retrieval (ECIR) in 2016 and 2020, and the Best Demo award at the International Semantic Web Conference (ISWC) in 2011. He has published more than 200 peer-reviewed scientific publications including papers at major venues such as WWW, ACM SIGIR, VLDBJ, ISWC, and ACM CHI. He is an ACM Senior Member, ACM Distinguished Speaker, and a TEDx speaker.

Before joining the University of Queensland, he was a Lecturer at the University of Sheffield in UK, post-doctoral researcher at the eXascale Infolab at the University of Fribourg in Switzerland, visiting researcher at UC Berkeley, junior researcher at the L3S Research Center in Germany, and intern at Yahoo! Research in Spain. In 2011, he obtained a Ph.D. in Computer Science at the Leibniz University of Hannover in Germany focusing on Semantic Search.

Availability

Professor Gianluca Demartini is:
Available for supervision
Media expert

Research interests

  • Misinformation

    Understanding how people interact with misinformation on social media and using AI to mitigate its spread online.

  • Crowdsourcing and Human Computation

    Improving the efficiency and effectiveness of human-in-the-loop systems.

  • Big Data Analytics

    Designing algorithms and systems that can scale-out to large amounts of data.

  • AI for Public Good

    Using Artificial Intelligence methods for societal and environmental purposes. For example, stopping the spread of misinformation online and identifying chimpanzee in videos for preservation purposes.

Research impacts

The research led by Prof. Demartini focuses on improving the efficiency and effectiveness of human-in-the-loop artificial intelligence (AI) systems with application of AI for public good. The application domains of his research include text analytics and the intersection between structured (e.g., knowledge graphs) and unstructured (e.g., text) digital content. During his research career he has collaborated with colleagues from several industry and governmental organizations like for example, Facebook, Google, Microsoft, Yahoo!, IBM, SAP, and The National Archives in the UK.

Funding

Current funding

  • 2025 - 2028
    PBIAS: A Principled Approach to Data Bias Management in Data Pipelines
    ARC Future Fellowships
    Open grant
  • 2022 - 2026
    Large-Scale Political Participation: Issue Identification, Deliberation, and Co-creation (Swiss National Science Foundation grant administered by Universität Zürich)
    University of Zurich
    Open grant
  • 2021 - 2026
    ARC Training Centre for Information Resilience
    ARC Industrial Transformation Training Centres
    Open grant
  • 2019 - 2028
    Crowdsourcing an Online Safety Benchmark for Fake News Identification
    Facebook Online Safety Benchmark Research Award
    Open grant

Past funding

  • 2023 - 2024
    Measuring the Gender Gap: Attribute-based Class Completeness Estimation
    Wikimedia Foundation (US)
    Open grant
  • 2022 - 2024
    Human-in-the-loop Natural Language Processing in GLAM
    Universities Australia - Germany Joint Research Co-operation Scheme
    Open grant
  • 2022 - 2023
    Monitoring and Modeling Human Annotator Behaviors in Mephisto
    Meta AI Mephisto Dataset Collection Tool
    Open grant
  • 2021 - 2023
    Human-in-the-loop Chimpanzee Identification
    Google AI for Social Good
    Open grant
  • 2019 - 2022
    DESCANT : DEtecting Stereotypes in human ComputAtioN Tasks
    CYENS Centre of Excellence
    Open grant
  • 2019 - 2024
    Building crowd sourced data curation processes
    ARC Discovery Projects
    Open grant
  • 2019
    Artificial Intelligence with Humans in the Loop
    UQ Early Career Researcher
    Open grant
  • 2019 - 2022
    Collaborative Lab of Health Informatics with Neusoft
    Neusoft Research of Intelligent Healthcare Technology, Co Ltd
    Open grant

Supervision

Availability

Professor Gianluca Demartini is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Human-Centred Artificial Intelligence for Democracy

    Principal Advisor

    Other advisors: Dr Joel Mackenzie

  • Doctor Philosophy

    Human-centered Artificial Intelligence for Democracy

    Principal Advisor

  • Doctor Philosophy

    Political Bias in Large Language Models: a Persona-based Perspective

    Principal Advisor

    Other advisors: Dr Joel Mackenzie

  • Doctor Philosophy

    Bias in Data Pipelines and AI Systems

    Principal Advisor

  • Doctor Philosophy

    From Auditing to Mitigation: The Role of Persona in Studying and Controlling Ideological Biases in Large Language Models

    Principal Advisor

    Other advisors: Dr Joel Mackenzie

  • Doctor Philosophy

    Customer Data Stories

    Principal Advisor

    Other advisors: Professor Shazia Sadiq

  • Doctor Philosophy

    Bias Mitigation in Human in the Loop Decision Systems

    Principal Advisor

    Other advisors: Professor Shazia Sadiq

  • Doctor Philosophy

    Human in the Loop Decision Systems for Online Safety

    Principal Advisor

    Other advisors: Professor Tim Miller

  • Doctor Philosophy

    Critical Success Factors in Data Driven Value Creation

    Associate Advisor

    Other advisors: Professor Marta Indulska, Professor Shazia Sadiq

  • Doctor Philosophy

    Extreme Analytics

    Associate Advisor

    Other advisors: Associate Professor Stephen Viller, Dr Jarrod Knibbe, Associate Professor Maxime Cordeil

Completed supervision

Media

Enquiries

Contact Professor Gianluca Demartini directly for media enquiries about:

  • AI
  • AI for Good
  • Artificial Intelligence
  • Bias
  • Big data
  • Crowdsourcing
  • Data Analytics
  • Data Science
  • Disinformation
  • Fairness
  • Fake News
  • Human Computation
  • Knowledge Graphs
  • Misinformation
  • Text Analytics

Need help?

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communications@uq.edu.au