74 episodes

Stories from a social enterprise that uses mathematical sciences in impact-oriented work around the world. Our experiences range from helping some of the world's poorest farmers get value from data, to enabling academics to use AI responsibly in their teaching. We never know what our next task will be but the last 6 years have shown that it is likely to lead to a story.

The IDEMS Podcast IDEMS International

    • Science

Stories from a social enterprise that uses mathematical sciences in impact-oriented work around the world. Our experiences range from helping some of the world's poorest farmers get value from data, to enabling academics to use AI responsibly in their teaching. We never know what our next task will be but the last 6 years have shown that it is likely to lead to a story.

    074 – Changing the Question

    074 – Changing the Question

    In this episode, we are pleased to introduce guest speaker Helen Crompton, who shares her research and teaching experiences focused on AI in education. Helen and David suggest productive ways that lecturers and students can engage with AI to support and enhance their skills and teaching effectiveness.

    • 32 min
    073 – AI in Education: Friend or Foe?

    073 – AI in Education: Friend or Foe?

    In this episode, Lily and David discuss the current state of education, and the potentials that AI creates for the future. They look at what it means to treat AI as a friend for lecturers, and then what it means to treat it as a foe, using case studies. They then question how lecturers can productively approach teaching given the current AI context.
    Note that this podcast is also the third episode of our five-part series on Responsible AI for Lecturers (RAILect).

    • 29 min
    072 – Demystifying Data Science

    072 – Demystifying Data Science

    In this episode, Lily and David aim to demystify data science across various disciplines. They use the Post Office to illustrate the power of AI systems, and then look at other case studies to highlight some limitations of AI systems. This episode is part of the series aimed at Responsible AI for Lecturers, but is still relevant for those not following the course.

    • 30 min
    071 – Introduction to R-Instat

    071 – Introduction to R-Instat

    R-Instat is a free open-source statistics package. In this episode, Lily and David introduce R-Instat and discuss the motivations for creating it, based upon the need for a user-friendly, comprehensive tool for low-resource environments that can handle multilevel data efficiently. They consider its broader implications for data literacy and statistical education, emphasising the ongoing ambition to make complex analyses more accessible and intuitive.

    • 24 min
    070 – Games Without Advertising: A Potential New Business Model, Part 2

    070 – Games Without Advertising: A Potential New Business Model, Part 2

    Santiago and David continue their discussion on the intersection of gaming and advertising, exploring innovative business models that prioritize social impact and inclusivity over traditional revenue streams. They consider the concept of providing digital services related to games that are accessible to all, including those who cannot afford to pay, aiming to develop a system where educational and socially beneficial services can sustain themselves financially while remaining open and accessible.

    • 24 min
    069 – Games Without Advertising: A Potential New Business Model, Part 1

    069 – Games Without Advertising: A Potential New Business Model, Part 1

    Santiago and David discuss the conventional business models in the gaming industry, which rely on advertising or paywalls. Motivated by the potential educational value of games, they envision an innovative business model that prioritises social impact over revenue.

    • 30 min

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