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Programme

Programme - European Statistical System Data Visualisation Workshop

From:      6 May 2019 at 13:00
To:            7 May 2019 at 17:00

Venue:    Hotel NH Milano Touring, Via Ugo Tarchetti 2, Milan, Italy

KEYNOTE SPEAKERS :

  • Visualisation, data journalism and fact checking - A. Cairo
    A focus on data journalism and fact checking will be the main topic of the first expert lecture of the workshop.

    Alberto Cairo is a high level and professional data visualization expert. He’s the Knight Chair in Visual Journalism at the School of Communication of the University of Miami (UM). Professor Cairo teaches courses on infographics and data visualization and he’s also director of the Visualization Program at UM's Center for Computational Science. I am currently a visualization consultant for several companies and organizations such as Google, McMaster-Carr, NORC, etc.
     
  • Data Narratives, what dataviz can do  - V. D'Efilippo
    How can data visualisation be effectively used to underpin the narrative.

    Valentina D’Efilippo is an award-winning information designer working across media and industries. Recently named one of Campaign’s 30 creative female leaders, Valentina is a designer, illustrator, and creative director based in London. She has been enjoying working with public organisations, start-ups, and global brands – pursuing imaginative and compelling visual language. Her practice focuses on information design and data visualisation and her work takes many forms – from theatre productions and exhibitions, to editorial content and interactive platforms.
  • Visualisation, conventions and creativity (how does the balance between conventions, and the need to be understood, and the creativity of the process work together?) - D. Panosetti

    Daniela Panosetti
    is an expert in visualization, communication and journalism. With a Degree in Communication, a PhD in Semiotics and Communication science, Daniela is an experienced Semiologist and Senior Editor with an extremely wide vision on communication. She’s creative, reliable and has a wide experience in providing lectures and sessions, as well as complete training programmes both in the university field and institutional environments.
     

PARALLEL GROUP SESSIONS will be organised around the topics below.
 

  • Visualisation strategies - this session will be focused on the main aspects of the coming trends in visualisation, which directions will be taken in the future and how can we prepare for this? How do we get insight in user’s needs for visualisations? How do we measure success in dissemination, data visualisation and communication?
  • Methodologies and techniques for creating visualisations - which methodologies are used to create attractive and innovative visualisations? (Agile project management, sprints, co-design, etc.) This session will discuss experiences and best practices.
  • Stories of data: visualisation, statistics and storytelling - using data in an engaging and interesting manner is crucial for an effective communication. The relationship between these three aspects is treated in this session.
  • Ethics of visualisation the aspect of ethics is very sensitive and can be linked to various aspects related to visualisation. Best practices and concrete cases will be shared in this session
  • Visualisation and usability  creating engaging and easy-to-use products are the main objectives for an effective communication. How do we include people with disabilities?
  • Visualisation, perception and neurocognitive models - more specifically, neurocognitive models are treated in this session, following a scientific approach
  • Data visualisation for social media - social media are the most used channels and data visualisation is specifically adapted to these channels. Best practices and models are shared in this session
  • Dissemination channels and visualisation - different dissemination channels may require different visualisations. Both traditional and digital channels for dissemination area treated in this session
  • How to visualise data quality -Data are important but conveying the quality of the data is as important. How do we show users the quality level of indicators (errors, confidence intervals). Their communication and visualisation may requires an ad-hoc focus 
  • Working with data journalists and how to make our products catchy to the media - data journalism represents an interesting and growing trend in visualisation and communication
  • Visualisation tools - the wide variety of communication tools for visualisation requires having a clear overview of the main categories of visualisation tools, based on the communication needs and target audience