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Associate Professor Gianluca Demartini
Associate Professor

Gianluca Demartini

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Phone: 
+61 7 336 58325

Overview

Background

Dr. Gianluca Demartini is an Associate Professor in Data Science 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

Associate 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 A/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.

Works

Search Professor Gianluca Demartini’s works on UQ eSpace

202 works between 2006 and 2024

201 - 202 of 202 works

2006

Conference Publication

A classification of IR effectiveness metrics

Demartini, Gianluca and Mizzaro, Stefano (2006). A classification of IR effectiveness metrics. European Conference on Information Retrieval ECIR 2006, London, United Kingdom , April 10-12, 2006. Heidelberg, Germany: Springer. doi: 10.1007/11735106_48

A classification of IR effectiveness metrics

2006

Journal Article

Measuring Retrieval Effectiveness with Average Distance Measure (ADM)

Della Mea, Vincenzo, Demartini, Gianluca, Di Gaspero, Luca and Mizzaro, Stefano (2006). Measuring Retrieval Effectiveness with Average Distance Measure (ADM). Information Wissenschaft und Praxis, 57 (8), 433-443.

Measuring Retrieval Effectiveness with Average Distance Measure (ADM)

Funding

Current funding

  • 2025 - 2028
    PBIAS: A Principled Approach to Data Bias Management in Data Pipelines
    ARC Future Fellowships
    Open grant
  • 2025 - 2028
    PBIAS: A Principled Approach to Data Bias Management in Data Pipelines
    ARC Future Fellowships
    Open grant
  • 2022 - 2025
    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 - 2024
    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

Associate Professor Gianluca Demartini is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

Completed supervision

Media

Enquiries

Contact Associate 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?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au