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Emily Genatowski

Resources

  • Data and Databases: Data Management and Storage

    EN
    The data you generate in humanities and social science projects may well need longer term storage beyond the scope of your own research project. Medium to long term data storage is vital for allowing other scholars to examine and test your data and models, and ensuring open access to your data is an increasingly prominent issue. This resource will guide you through a thoughtful discussion of Data Management and Storage.

  • Data and Databases: An Introduction

    EN
    In this resource students will learn what a database is and how it is used in humanities research, go through examples of Humanities Databases in use by researchers today, learn when a researcher would need to use a database and how to distinguish between different database technologies.

  • Introduction to Artificial Intelligence Prompt Engineering

    EN
    In this resource, learners will receive an introduction to artificial intelligence through the exploration of prompt engineering across text to text and text to image interfaces. Learners will also explore the positive varied applications of AI as well as the drawbacks.

  • A Basic Introduction to Geographic Information Systems (GIS)

    EN
    This pathfinder provides an introduction to Geographic Information Systems (GIS), covering analysis and visualization. It explains various spatial methods and each method is explained with a definition, practical examples and links to free resources online for further reading and exploration.

  • Data and Databases: Entities and Relationships

    EN
    An entity is an object with its own characteristics, defined according to the specificities of a given field. This resource covers associations between entities, attributes of entities, identifiers of entities and cardinalities of entities.

  • Ethical, Societal and Legal Complexities of Artificial Intelligence

    EN
    This tutorial provides interdisciplinary insight into the challenges stemming from the rapid development in and implementation of Artificial Intelligence. Learners will be equipped with a broader understanding of the philosophical issues surrounding AI as well as current real-world examples which are developing our relationship to AI and its growth.