“Our overall objective is to build a community, promote opportunities for collaboration and share our experience and knowledge.”

Overview

The integration of modelling, data, and AI has sparked a transformative revolution in the realms of Social Sciences, Humanities, and Economy.

As data availability continues to grow exponentially, these fields are leveraging advanced analytical techniques and AI-powered algorithms to gain profound insights into human behaviour, societal patterns, and economic dynamics.

Through predictive models, researchers can forecast trends, optimize resource allocation, and make informed policy decisions.

In the realm of Humanities, AI-driven tools aid in language processing, textual analysis, and cultural heritage preservation, fostering a deeper understanding of our collective history and cultural identity.

Simultaneously, the Economy benefits from data-driven strategies that enhance market intelligence, streamline operations, and facilitate personalized consumer experiences.

As this symbiotic relationship between modelling, data, and AI flourishes, it paves the way for new frontiers of knowledge and innovation that will shape our societies, cultures, and economies for years to come.

Our Facilities

Key Enabling Technologies:

Theme Leads

  • Dr Frederic Boy

    Dr Frederic Boy

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    Available for Postgraduate Supervision Profile Frederic Boy (PhD) is a multidisciplinary scientist (Data Science, Psychology, Neuroscience) educated in Grenoble University (BSc, MSc), University of Edinburgh (MSc) and the CNRS (PhD). During his postdoctoral training at the world-class Cardiff University Brain Research Centre (CUBRIC), he was funded by the Wellcome Trust and part of the team…

  • Dr Matt Roach

    Dr Matt Roach

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    Available for Postgraduate Supervision Profile Dr Matt Roach is an Associate Professor in Computer Science at Swansea University and an established leader in research and Innovation. His multidisciplinary interests focus on the intersection of people, algorithms and data, themes include: Machine Learning; Algorithmic Bias, Fairness; Pervasive & Persuasive Computing; Human Computer/Data Interaction; Participatory Design; Socio-Technical Decision-Making Systems; Socio-Technical Behaviour Change…

Specialist Areas

  • Enterprise, Partnerships & Innovation in Modelling, Data, and AI

    Enterprise, Partnerships & Innovation in Modelling, Data, and AI

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    Overview The Enterprise, Partnerships & Innovation (EPI) specialist area within the Zienkiewicz Institute for Modelling, Data and AI (ZI) provides a gateway for businesses and public sector organisations to access Swansea University’s research expertise in modelling, simulation, data analytics, and artificial intelligence. This platform connects industry leaders and alumni with academic experts to address technical…

  • Intelligent Robotics

    Intelligent Robotics

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    Overview Intelligent robotics, with its potential to revolutionize various sectors, holds immense importance in current society and promises a transformative impact on future advancements. The group focuses on two particularly interesting areas of focus are intelligent assistive robotics and agricultural robotics. Intelligent assistive robotics seeks to enhance the quality of life for individuals by providing…