S-H-O-W, November 10 & 11, 2021

Encore means that at the end of the show the audience would like to hear more. They don’t want it to be over yet. They want a few more songs or some extra pieces of music.
The audience will keep applauding for minutes. And hope that the performer will come to the stage again: ‘’We want more’’. ‘’Encore’’. ‘’Please’’.

So here we go: S-H-O-W number 5. With an extra performance. With more songs or in our case: more data visualisation. More inspiration. More great speakers.

In a way ‘more’ can also mean: what’s next? What is out there in the field of data visualisation? What can we expect in the years to come?
So we not only have asked new speakers to the stage. We also have asked a few of them to reflect on the field of dataviz.


S-H-O-W is a two day single track event which exists of talks, discussions, music and other activities. The entire conference will be in English.
You can join the conference online or (only the first day) on location. Please note that all time indications are CET.

Enjoy the S-H-O-W.



12:30 – 12:40         OPENING AMANDA PATIST
Amanda is a Self-Service Analytics coach at Cargill, where she helps to empower people to make data driven decisions locally, quickly and reliably. Amanda started her data journey in Biomedical Science and made the change to data viz when she joined The Data School at the Information Lab in London. Since moving to Amsterdam, she has joined the board of Viz for Social Good and has helped to set up Data Plus Women in The Netherlands. Amanda was the moderator of the pre S-H-O-W event in September and the S-H-O-W conference in November.
12:40 – 13:15         SABINE DEVINS *
Sabine used to call herself a data detective, but since Tim Harford went ahead and named his book that, she's redubbed herself the Taylor Swift of data. Based in Berlin, the Canadian is a freelance content director and journalist. While working at the Infographics Group (now Sapera) she was the managing editor for their in-house and award-winning digital publication, INFO.GRAPHICS. She loves the internet and exploring all the ways you can use it to connect to people with great storytelling.

Storytelling is everywhere these days – even in data vis. From economic stories to women's history to digital security: each story is driven and inspired by data, even if it doesn't look like it at first. You'll get the two main tools – rooted in journalism – that will give you the keys to unlocking the stories in your next data set.

* Talk in Utrecht (with reservation).
13:15 – 13:50         FERNANDO CUCCHIETTI *
Fernando leads the Data Visualisation and Analytics Group at the Barcelona Supercomputing Center (BSC). He holds a Ph.D. in quantum computing, and currently works on data visualisation for science (data-heavy graphical interfaces, images, and videos), data science applied to industrial problems (machine learning and artificial intelligence), and scientific visualisation for dissemination, creating short video documentaries and interactive data visualisations that explain the science done at BSC.

Impactful and memorable images are a great resource for science dissemination, improving the reach and engagement of complex and information rich topics. Yet scientists in general might not have the training nor the time to create high quality and appealing imagery, and journalists and designers might not have a deep understanding of the data itself nor the tools to deal with scientific datasets. When both scientists and designers work together they can create accurate and appealing images and stories, avoiding too detailed imagery or non-rigorous visuals dismissed by the domain scientists.

Furthermore, new approaches appear from the interaction between fields. Inspired by popular web libraries that have allowed journalists and designers to incorporate data in their workflow and produce high quality visualisations, BSC created a pipeline and a set of tools that allow designers and animators to import large scientific datasets (from 3D simulations) directly into industry-level video software tools (Maya, Blender, Adobe suite, etc.) where they can control and manipulate the visual style more precisely, and reach higher levels of visual quality than with standard scientific visualisation tools. On the other hand, the scientists can become more than simple advisors to the designers, and (thanks to the automation afforded by the coupled tools) create new visualisations for their publications and presentations.

In this talk Fernando will ground the presentation on use cases of documentaries they have created with these tools and pipelines.

* Talk in Utrecht (with reservation).
13:50 – 14:30         BREAK - PLUS DATA WALKING ACTIVITY
Cities and villages are full of data. It's not about numbers that can be found in archives or on municipality websites. Anything you see in neighbourhoods or streets is or can be data. The number of parking spaces, the amount of green areas, the street lights, and even the people who walk around and what they do. All is data!

During the breaks of S-H-O-W, participants are invited to examine data in their own neighbourhood! You can investigate, collect, analyse and visualise data.

Together with David Hunter, who has run several data walking projects in the past, we have developed a special Data Walking light edition. It is a nice way to step away from your screen during the event and walk your area (street or neighbourhood) through the eyes of a data gatherer.

The central topic is ‘multitudes’ in your area. What is there the most of in your area? Or what do you think is there the most? By counting and visualising the most in your area, you will get an idea of the identity of your area. You should do two walks, but could do more. In this way you can test your initial idea of the most in your area and you will be able to make a visual comparison between different times or places.

The Data Walking activity will be an individual activity during the S-H-O-W event. We offer two sessions with David Hunter where you can ask any questions you have around this activity.

More details about the data walking activity will be shared shortly before the S-H-O-W event.

David Hunter is a multidisciplinary designer and programmer creating interactive experiences for spaces and screens. He started the Data Walking project in 2015. David is course leader of the UX/UI Design BA at Ravensbourne and a senior lecturer on the Graphic Design BA.
14:30 – 15:05         MORITZ STEFANER
As a self-employed "Truth and Beauty Operator", Moritz keeps chasing the perfect shape for information. With a background in Cognitive Science and Interface Design, his work beautifully balances analytical and aesthetic aspects in mapping complex phenomena to support data–driven decision making.

In the past, Moritz has helped clients like the OECD, Google News Initiative, Salesforce, World Economic Forum, Deutsche Bahn and the Max Planck Research Society to find insights and beauty in large data sets. He is the record winner of the Kantar Information is Beautiful awards and his work has been exhibited at Venice Biennale of Architecture, SIGGRAPH, Max Planck Science Gallery, Fondation EDF, and Ars Electronica.

As a co-host of the Data Stories podcast, and sought-after keynote speaker and workshop facilitator, Moritz continues to excite more and more people about the magic that can emerge when art and science connect deeply.

We all have seen lots of coronavirus dashboards by now, but the German COVID-19 vaccination dashboard (https://impfdashboard.de/en/) stands out: designed mobile first, it features smart integration of text and charts, animations and even achievement badges, inspired from video games. What was the motivation behind this approach, how was it realized, and how has the dashboard evolved over this year? Moritz will take us behind the scenes of this project which he conceived, designed and implemented together with Studio NAND and Cosmonauts & Kings.

15:05 – 15:40         JULIE BRUNET *
Building on her former position as a literature teacher and 5 years as an art director in a creative agency, Julie is currently an independent data & information designer, as well as the Creative Director of Nightingale, the journal of The Data Visualization Society. She believes in the accessibility of information through design and the virtuous role data designers can play in a society shaped by the ever-increasing amount and complexity of data. She also has a tender point for data-humour, data-collage and other creative data-shenanigans that she exercises on her instagram @datacitron. Julie designed the visual logo of this event.

For those who just recently inserted themselves in the highway of data visualisation, as well as for those old drivers on this road since its beginning, the road of dataviz is moving fast ! New cars coming in, new drivers, new lanes, new embranchements, new destinations, everything changes at full speed. But where exactly are we heading to? While enjoying the most exciting voyage, Julie Brunet aka datacitron proposes to reflect on the great possibilities and destinations offered by taking the road of data visualisation and how she's looking to find her place, like a tiny dot in a huge scatter plot.

* Talk in Utrecht (with reservation).
15:40 – 16:15         MATTHEW FALLA *
Matthew is an RCA trained Interaction Designer, with over fifteen years experience innovating at the intersection of design, technology and data. He is a founding Partner at Parallel – an innovation consultancy helping product leaders develop original propositions based around simulations and synthetic environments.

Across a career spanning boutique management consulting, consumer electronics and creative agencies, Matthew's focus has been to bring award winning design into the world of business, providing him with hands-on experience in sectors such as financial services, media, technology and manufacturing. Matthew was a Designer in Residence at the London Design Museum and has exhibited work and spoken internationally. He was previously the founder and Managing Director of Data-design agency, Signal Noise.

Increasingly, automated and algorithmic systems are being used to make decisions that impact people’s lives. Often these are cold and impersonal tools, that give little thought to the knock-on effect of the decisions being made. They are all stats and no story.

What if we could hear about the impact of these decisions first-hand - from people’s future selves?

In this talk, Matthew will present Voices of Tomorrow – an on-going research project with Royal Holloway, University of London, which explores the use of novel technologies such as GPT-3 and synthetic humans within decision making systems. Could these techniques be used alongside more traditional ways of visualising data to give people a more holistic - and more human view?

* Talk in Utrecht (with reservation).
16:15– 16:55         BREAK
See more details at the first break of today.
16:55– 17:30         CRAIG TAYLOR
With a passion for creative cartography and abstract visuals, Craig specialises in turning the mundane into the exciting. With solid experience working exclusively in the analysis of geographic data within spatial systems and production of hi-end cartography Craig has now turned his focus to creating cinematic 3d geo data animations. Whilst his work at Ito World revolves around extracting insight from transit data and ultimately bringing movement data to life to engage clients' audiences, his personal projects often end up manipulating this data into creative and abstract data-art.

An in-depth look at the thought and design process behind bringing transit data to life. Drawing from his work at Ito World Craig dissects the various ways he has created engagement and insight from bus data through the UKs Bus Open Data Service (BODs). From miniature dioramas to abstract occupancy data analysis - he shows how and why he has pushed visualising bus data to the limits(!).
17:30– 18:05         STEVEN FRANCONERI
Steven is a Professor of Psychology at Northwestern, and Director of the Northwestern Cognitive Science Program. His research is on visual thinking, visual communication, and the psychology of data visualisation. He directs the Visual Thinking Laboratory, where a team of researchers explore the power and limits of your visual system, and how better design and pedagogy can help students and scientists understand and use visual representations across paper, screens, and their imagination.

In the natural world, the visual system can identify objects, faces, and scenes rapidly and in parallel. But in the artificial world of information visualisations, the more critical task is to extract spatial and magnitude relations among objects. This process is far slower and can be daunting even for adults.

Steven will use interactive visual tasks to show how relational processing can challenge our visual system, and will suggest that visual relation extraction is limited by a serial representation similar to a sentence. Understanding these constraints leads to design guidelines and instruction techniques for information visualisations, from data analytics to public data communication.
18:05– 18:10         CLOSING


12:55 – 13:00         OPENING
13:00 – 13:35         REBECCA PAZOS
Rebecca is a mum of one and a senior data journalist with The Straits Times for six years. Recently, she completed her Masters in visual tools with the University of Girona. She is dedicated to telling compassionate, human-centered data stories.

Data is a great tool but it can also be manipulated - even unintentionally. Through the lens of two graphics, we'll explore how to balance this line through visual techniques and storytelling choices against the backdrop of Singapore's media reputation.
13:35 – 14:10         MARCIN IGNAC
Marcin is a Polish data artist and computational designer focusing on data visualisation and generative systems. He is based in London where he runs Variable.io - a studio blending design, software and the aesthetics emerging from data, processes and human behaviour. Living in an increasingly data driven world requires new ways of seeing and understanding the systems that shape our life. In his work Marcin is using code to build tools for probing the surrounding reality in a search to discover the shape of that data.

Marcin has B.Sc. in Computer Science and completed a master level Interaction Design course from CIID. Marcin's and Variable's work has been showcased across the world in places like London, Paris, Dubai or San Francisco.

One of the first steps in every visualisation is to get to know the data, it's values, ranges, and distributions. Those parameters create a sort of landscape upon which we build our understanding and then visualisations. In this talk we will question how computer graphics and technology from game engines can enable us to explore that landscape and gain a new perspective on the data. We will learn about techniques and revisit Marcin's projects from data viz, through data art up to generative design.
14:10– 14:50         BREAK
See more details at the first break of Wednesday.
14:50 – 15:25         ISKRA VELITCHKOVA
Iskra is a Bulgarian self-taught artist currently based in Madrid. Her work explores the present and potential interactions between humans and machines and how instead of making technology more human, this relationship can push us to understand our limits better.

She believes that roots and tradition can nurture her work with greater truth. Bringing together her Balkan origins with the influence that Mediterranean culture has had on her over her own history, she uses this context for building upon her work. After a proven record on tech and artificial intelligence industry as visual thinker, Iskra decided to apply her knowledge and experience at the service of her own research.

Her work is based on mixed techniques: she explores new media combining digital formats and physical nature. She uses generative technology, artificial neural networks, plastic arts, she plots on canvas and plays with clay.

Science today is more present than ever in our daily lives. Understanding the way we interact with our context, the broad offer of products and services, the access to people or to ourselves by carrying intelligent devices, or by just living together in an increasingly more interconnected society thanks to science and tech, is about more than just a question of interpretability. It is about a dialogue. And we need to include people in that dialogue. Whether telling a story about data or about algorithms, visualisation is a wonderful tool to give access to people to understand what’s beyond the processes that lead this new era, and invite them to participate in the construction of what’s to come.
15:25 – 16:00         SARAH L. FOSSHEIM
Sarah is an independent developer and designer focused on creating inclusive and accessible products. They work with full-stack development, user research and design, and are especially passionate about data, ethics and accessibility.

Are our data visualisations accessible? What does dataviz accessibility mean? And why is it important? This talk explores what can go wrong when data visualisations are inaccessible, common accessibility mistakes, along with best practices and tips on how to create more inclusive data visualisations.
16:00– 16:45         BREAK
See more details at the first break of Wednesday.
16:45 – 17:20         IAN JOHNSON
Ian is a data visualisation developer and software prototyper at ObservableHQ. Ian has been turning data into pixels for more than 15 years, cheering on the developments in web standards and open source technologies that enable ever richer forms of communicating data.

Ian helped found the Bay Area D3 User Group, a community of thousands of d3.js practitioners, to learn from other like-minded folks. He has prototyped software and visualisations for companies, researchers and causes. He enjoys sharing his understanding and is often tweeting about data visualisation and the creative process.

This talk aims to demonstrate a workflow for visualising data that emphasizes creating a greater quantity of visualisations in order to reach higher quality. Drawing from recent personal and professional data analysis projects, we will walk the line between code & design to rapidly gain perspective on data.

Ian will focus on using the open source Plot library in the Observable Javascript notebook environment which allows for rapid iteration. He will do some live coding to show the speed at which design decisions can be evaluated. Ian will also review some past analysis to understand how this process can impact the final outcome.
17:20 – 17:55         ELEANOR LUTZ
Eleanor is an information designer working at The New York Times. Her favorite projects combine illustration, maps, and data analysis. Eleanor holds a Ph.D. in data science and biology, and recently contributed to a project honored with the Pulitzer Prize for public service.

Designing a series of related graphics comes with a unique set of challenges: Each design needs to stand on its own, but they also need to all work together. Eleanor will share the design process behind a series of illustrations explaining recent spacecraft launches. She'll talk about the challenges of designing a cohesive series using many different types of source material. And she'll also talk about how she tries to keep similar diagrams fresh and interesting by experimenting with different art styles and techniques.
17:55 – 18:30         RACHEL BINX
Rachel is a creative technologist, with a background in data visualisation, art history, and interaction design. Her work explores the emotional, cultural, and aesthetic relationships between geo/location data and the physical world. Rachel has created seven small companies to explore these ideas, building co-creation interfaces that transform a user's data into a custom-made object. Previously, she has worked at Netflix, NASAJPL, Stamen, and the New York Times.

Over the past few years, data visualisation has expanded from the realm of highly-trained professionals, to just about everyone who works with data. What does this mean for the field of data visualisation, and for the individuals who specialize in this skillset? Through the lens of her last 5 years at Netflix, Rachel will show how visualisation has permeated the entire data pipeline. More accessible tooling for visualisations, however, could also mean more opportunities for experimental design. What will the future hold?
18:30 – 18:40         CLOSING



Anatomiegebouw, Bekkerstraat 141, Utrecht
This historical building, once part of the University of Utrecht, was designed by architect Joseph Crouwel. The theater was used to host lectures on veterinary anatomy. You can still see the rails in the floor where the bigger animals were brought in.

The venue is only open for participants on Wednesday November 10. There are 70 spots available. See the ticket options.
On Thursday November 11 the venue will only be used by the organisation to host the online part.

As organisation we want to support local venues, by hosting the event here. We also support some local restaurants by ordering lunch & diner.



S-H-O-W is organised by Graphic Hunters, a training institute on data visualisation
based in Utrecht, the Netherlands. If you have questions about the conference
please send a mail to SHOW@GraphicHunters.nl.

Follow us on Twitter, Facebook & LinkedIn for news and updates about the event.
The entire conference will be in English.

if you want to become a partner or sponsor, or want to help out in any other way
please send a mail to SHOW@GraphicHunters.nl


NOVEMBER conference
There are two options to join the event:
(1) You can buy a ticket that allows you to come to the venue on Wednesday November 10 and follow the next day online. Or (2) you can follow the entire conference online.

Graphic Hunters offers 25 free diversity tickets.
One of the aims of the conference is to stimulate diversity. Not only in the representation of speakers but also the attendees. If you are or know of anyone who is interested in attending from a under-represented community in data visualisation, or somebody who doesn't have the financial means to join the conference, please send a mail to SHOW@GraphicHunters.nl.

The diversity tickets only cover the cost for attending the (online) event (so not the hotel or travel tickets). We will randomly pick 25 diversity tickets on October 27, 2021. All diversity tickets are for the online part of the event, but we also offer a maximum of 3 tickets for attending the event partly on location.