The Data Science Lab
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  NEWS

  • New: postdoc, PhD and visiting student/scholar opportunities

  • IJCAI23: Bayesian federated learning: a survey

  • JDSA: Trans-AI/DS, AI for disaster resilience

  • TPAMI: Distributional vulnerability of deep networks

  • Data Science Thinking translated to Turkish and Russian

  • Global scientists responses to COVID-19 & our work

  • 70 years of AI: AI science and engineering

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DATA SCIENCE RESEARCH
The Data Science Lab has been dedicated to fundamental research in data science and complex intelligent systems over a decade, mainly motivated by
  • Data science thinking including scientific cognitive paradigms and thinking patterns; creative design, statistical, computational and analytical thinking and mechanisms; and analytics and learning design architectures, frameworks, patterns and exceptions;
  • Significant real-world complexities, challenges and intelligences in open complex data, behavior and systems, identified in different domains and areas, in particular, public sector, business, finance, online and living societies, core industries, and socio-economic domains;
  • Fundamental theoretical gaps and innovation opportunities identified in both existing theoretical systems of statistics, data/intelligence sciences and computing, and to address new and significant theoretical and applied gaps, challenges and problems.
  • Enterprise Data Innovation
    Enterprise data are growing increasingly bigger and bigger, more and more complex, and more and more valuable. Data science and intelligence science have played critical roles in discovering the intelligence, value and insight and in recommending smarter decision-making actions for enterprise innovation, productivity transformation and competitive strength upgrading. Our team has been well known for its leadership in industry and corporate engagement, high standard and demonstrated impact in assisting major industry and government organizations in building
    the thinking and foundation

    The thinking and foundation to design, implement, manage, review and optimize enterprise data science innovation decision-making, plans, policies, mechanisms and specifications;
    the competencies and skills

    The competencies and skills to create, undertake and optimize enterprise data science infrastructure, systems, models, case studies, and practice;
    the qualifications and accreditation

    The qualifications and accreditation for next-generation data scientists and professionals through offering high quality Master's/doctoral courses and corporate workshop/training to undertake and lead actionable and innovative enterprise data science.
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    About us
    Advanced Analytics Institute, University of Technology Sydney, Australia
    Level 1, Building 22, Blackfriars Campus, Chippendale, NSW 2008, Australia
    Tel: +61-2-9514 4477
    Staff: firstname.surname(a)uts.edu.au
    Students: firstname.surname(a)student.uts.edu.au
    Contacts@datasciences.org