Welcome and Opening Remarks

• Alberto Di Meglio (CERN)

Room: 3179/R-E06 Welcome to the workshop from CERN and the lead agencies.

Creative Confidence

• Sue Snider

Room: 3179/R-E06 An introduction to data visualization and the data innovation project which will be used throughout the workshop.

Understanding Your Audience and How They Make Decisions

• Tina Comes (Delft University of Technology)

Room: 3179/R-E06 Why do decision makers choose to embrace or ignore evidence? This session will explore the how and why people make decisions and insights into how data storytelling can influence and drive change.

Building Your Data Story, Part I

• Sue Snider

Room: 3179/R-E06 Participants explore a learning framework within which they will actively build a data story during the workshop. This session will introduce the framework and participants will complete Step 1 in small groups.

Building Your Data Story, Part II: Exercising Your Data Visualization Muscles

• Cedric Vidonne (UNHCR)

Room: 3179/R-E06 Complex ideas begin as simple drawings. And data visualization is no exception. We often imagine the creators of infographics as master programmers and number crunchers. But, many times, their primary design tools are pen and paper. This session will explore how to use sketch techniques as a preliminary tool to design a data visualization landscape.

From Statistics to Story

• Chloe Tseng (Viz for Social Good)

Room: 3179/R-E06 Translating dry reports and databases into a format that resonates with human beings is one of the main purposes of data visualization. To make data relevant, it not only needs to be visual, it needs to stimulate people, catalyze actions, and lead to change. In this session, we'll explore how to build a powerful data story.

Building Your Data Story, Part III Room: 3179/R-E06 Working in small groups, participants will continue to create their data story, focusing on building action and emotion into the visualization.

The Language of Data Storytelling

• Thomas Nord (Knowit AB)
• David Svensson (Knowit AB)

Room: 3179/R-E06 In this session participants will be immersed in a story of data, truths, lies and treachery as two experienced data storytellers tell you two different stories emerge from the same data set. As the stories unfold, you will learn how they are created and why it is important for the storyteller and audience alike to learn the language of data storytelling.

Building Your Data Story, Part IV Room: 3179/R-E06 Data sets can contain many different stories. How do you choose which story to tell and how can that impact the integrity and credibility with your audience? This session will encourage each small group to look critically at their data story and fine tune their approach to influencing their audience.

Workshop Wrap Up Room: 3179/R-E06

CERN Ideasquare Introduction Room: 3179/R-E06

Looking Back, Looking Forward

• Sue Snider

Room: 3179/R-E06 The facilitator provides a quick review of work to date, what to expect on Day 2 and brief introductions to the leaders of the breakout sessions.

Technology Tools & Techniques Room: 3179/R-E06 Breakout Sessions with Microsoft Power BI, Esri, Tableau & CARTO / Vizzuality. Participants will explore various data visualization tools and techniques available in the market and insights from experts on how to influence decision making through data visualization techniques.

Building Your Data Story, Part IV Room: 3179/R-E06 Each small group is assigned to one data visualization expert and works with that expert to visualize their data innovation story.

Inside the Mind of a Decision Maker

• Vincent Cochetel (UNHCR)

Room: 3179/R-E06 The data stories developed by each small group will be used to gain insights into the power of data visualization and what data storytellers need to do to influence change.

Workshop Wrap Up Room: 3179/R-E06

Coaching Opportunities (Optional) Room: 3179/R-E06 Participants are given an opportunity to request a coaching opportunity with a data visualization expert. These sessions are organized in advance of the workshop based on interest across the participant community.