Data science, visualization and interactive narratives for CCIs
Section outline
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The first week focuses on data science and big data methods and technologies as a differentiation factor in terms of creativity and competitiveness.
In particular, you will learn how to analyze content produced by people in terms of text and images, how to make sense of it and how to understand human behavior and sentiment through automated large-scale analyses. The course presents the basics of Natural Language Processing (NLP), topic and sentiment analysis, and machine learning techniques applied to social media. -
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The second week focuses on the visual representation of data and information, providing basic of theory and practice.
It will allow you to understand basic principles for making insightful data visualizations, as well as theoretical reference to deepen your understanding of the topic.
In particular you will learn how to create uncommon visualizations such as hierarchical visual models, distribution-based visual models, and geographical data visualizations. -
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The third week introduces the contemporary use of interactive narratives and their state of the art. In doing so, the week will tackle:
- the fundamentals of Interactive Narratives, across literature and current trends (concepts, vocabulary, and practices);
- methodologies and tools to design Interactive Narratives, considering narrative entities and their functions;
- examples of narrative strategies within the fashion industry.
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The fourth week aims at proposing a design methodology for developing interactive narrative projects. After the discussion of the role of the audience within the contemporary scenario, the lessons will introduce a set of narrative tools able to support the design activity. The week is structured as follow: 1) state of the art of narrative structures and audience engagement across media; 2) the presentation of a set of tools to support the design of interactive narrative projects for fashion and branding; 3) the discussion of paradigmatic examples.
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