Paolo Ciuccarelli, a communication designer and researcher, professor of design, founder of the Density Design Research Lab - an award-winning laboratory for data visualization and information design at Politecnico di Milano – as well as Founding Director of the Center for Design at Northeastern University.

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Where to find Paolo:

X: https://twitter.com/pciuccarelli?lang=enLinkedIn: https://www.linkedin.com/in/paolociuccarelliPolitecnico di Milano: https://dipartimentodesign.polimi.it/it/staff/show/42952Northeastern University: https://camd.northeastern.edu/people/paolo-ciuccarelli/Density Design Lab: https://densitydesign.org/person/paolo-ciuccarelli/Instagram: https://www.instagram.com/pciuccarelli/

Maria + GGUTT:

Linkedin: https://go.ggutt.com/maria-linkedinYouTube: http://go.ggutt.com/videos

Timestamps:

00:00:00 Introduction

02:16 How he got into Data Visualization

04:52 Discovering data and bringing it to life

05:26 The mission of making complexity visible

07:16 Hype around data visualization and data visualization people

09:30 Data visualization engineers or designers?

12:47 Education and the importance of data and making sense of it

15:02 The growing opportunity for education and data culture in that space

17:44 What is data or what it is not

20:17 Da a and visualization: it doesn’t end there

23:10 Context, complexity and types of complexity 

24:17 Heath data

28:19 Data could be misleading and hurt

30:24 Understanding people and the context is why designers found a place in DV

33:29 Research, literature and knowing limitations

33:48 Data lakes, dashboards and complexity

35:13 Aspirational: big visualizations with more big data

35:52 Our relationship with data will change: narration, mediums and augmentation

39:25 Personalization, visualizing complexity with motion

40:17 Simplicity, complexity, tradeoffs even with organizational charts

45:55 Wayfinding through data: different interfaces for different purposes

51:48 Visualization is a not an end product

52:54 Paolo on his GGUTT feeling

56:48 Approaching projects, starting with the data

58:48 Starting with Why

01:00:00 Sometimes data should not be represented

01:01:54 Raw data is not raw

01:02:44 From wood to data, to training models to wearables and legos

01:06:26 Sensors, raw data and using Gen AI rather than working on it

01:09:59 The language around data in the industry: drawing from oil, gold and more

01:14:55 Questioning data origins

01:18:08 Datasets on the blockchain?

01:20:28 Views on VR and AR

01:22:39 Static, interactive, real-timevisualizations

01:27:10 Real-time can be seducitve 

01:29:06 Data representation evolution

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