Digital Method of the Month: What LLMs Can and Cannot Do

The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research. During this session, we will introduce the concept of Large Language Models (LLMs), discuss their strengths and weaknesses, and explore how they can be effectively integrated into research workflows.

Digital Method of the Month: What LLMs Can and Cannot Do

The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research. During this session, we will introduce the concept of Large Language Models (LLMs), discuss their strengths and weaknesses, and explore how they can be effectively integrated into research workflows.

Digital Method of the Month: Geospatial Data and GIS

The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research. The method of this month is GIS, or Geographic Information Systems. GIS is a computer system that combines maps and databases to help people create, manage, and analyse information about places.

Digital Method of the Month: Data Visualisation

The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research. A big part of conveying research results hinges on how these results are presented. Join us to discuss the main principles of effective and reproducible data visualisation.

Digital Method of the Month: Software Development with Generative AI

The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research. During this session we will discuss trade-offs regarding gains in productivity and the dangers of producing executable code; how the development of these tools changes the nature of learning to code; as well as best practices and strategies for exploring this safely.

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