Update: Due to COVID-19 the symposium is postponed to the 26th and 27th of November 2020 and will be held virtually. If you’d like to join you can register via Eventbrite (link below) and we’ll keep you posted!
At the DataStories Symposium 2020 we will explore how people engage with data to create stories.
Data is represented in different ways to allow us to understand and make use of it: in numbers, in text, in visualisations, in interactive stories and other forms. Data stories are relevant to many areas of our life – they are part of the news, of how we engage with science and research, they inform our decisions and they help us explain the world.
We are getting more and more aware that data should excite as well as inform and be engaging as well as educating. Data should be presented in a transparent manner that allows different perspectives and supports us in understanding the uncertainties attached to it.
The DataStories Symposium 2020 will bring together experts from academia, industry and the third sector to discuss, generate ideas and inspire future interdisciplinary collaborations aiming to explore Human Data Interaction in relation to storytelling with data.
Contributors and guests include: researchers, data journalists, data artists, computer scientists, curators, game designers, amongst others.
We will have three exciting keynote speakers, interactive sessions and lightning talks to showcase ongoing work and to discuss current challenges around datastories. Topics include, but are not limited to:
- Experiencing data through storytelling, art and games
- Narrative practices for data stories
- Data representations: narrative visualisations and other forms
- Human Data Interaction
- Making sense of data and uncertainty
- Transparent reporting in data journalism
Currently confirmed speakers include: Anna Feigenbaum (Bournemouth University), Andrew Tatem (University of Southampton), Milena Marin (Amnesty Evidence Lab), Benjamin Bach (University of Edinburgh), David Caswell (BBC News Labs), Phil Harvey (Microsoft), Caelainn Barr (The Guardian), Michele Mauri (DENSITYDESIGN LAB), Kathleen Gregory (DANS), Tom Blount (University of Southampton).
Please register here.
The event is free of charge and we are hoping for a diverse audience from a variety of backgrounds, fields and practices.
|DAY 1 – 26th of November|
|Introduction by the organisers|
Keynote 1 & discussion: ·Andrew Tatem
Lightning talks: · David Craswell · Caelainn Barr · Milena Marin
Lightning talks: · The story behind the story: How researchers make sense of data by Kathleen Gregory · Tom Blount
Keynote 2 & discussion: · Phil Harvey
|DAY 2 – 27th of November|
*UK time (GMT+1)
|Keynote 3 & discussion: ·Humanising data stories through narrative theory and graphic medicine by Anna Feigenbaum|
Choose 1 of 2 hands on workshops:
1. Humanising Data through Graphic Storytelling by Anna Feigenbaum and Alexandra Alberda from Bournemouth University.
2. Smoking gun: A collaborative data game experience by Dan Barnard and Joe McAlister from Fast Familiar
Lightning talks : · Michele Mauri · Data comics as a novel medium for visual data-driven storytelling by Benjamin Bach
1. Humanising Data through Graphic Storytelling
This workshop offers a brief masterclass that draws together Data Storytelling and Graphic Medicine to explore how we can use narrative theories and the comics medium to present data in more humanising ways. Drawing on the principles of approachability, accessibility and relatability this workshop uses hands-on activities to develop our abilities to embed emotion and empathy in data storytelling. Materials to have on hand include light coloured paper, black pen or felt tip marker, and optional colours (i.e. crayons, markers, coloured pencils). No previous drawing experience is required!
Dr. Anna Feigenbaum is an Associate Professor in Digital Media and Communication at Bournemouth University. She recently co-authored the Data Storytelling Workbook (Routledge 2020) with Aria Alamalhodaei. Her research can be found in a variety of books, academic journals and popular outlets including: The Atlantic, The BBC, Le Monde, Vox and Vice. Anna also runs community workshops on data storytelling and provides consultancy to NGOs and cultural organisations, including Amnesty International and the New York Times.
Alexandra P. Alberda is a doctoral researcher and research illustrator at Bournemouth University. Her PhD on Graphic Medicine explores the intersections of the comics medium, health, and exhibition to understand potential methodological approaches and socio-cultural values of these experiences. Her collaborative projects, namely with Dr Anna Feigenbaum and Aria Alamalhodaei, have explored such topics as public health, data storytelling and visualisation, comics, and creative-led knowledge exchange. As a research illustrator, she has worked on a number of projects, including the recent The Data Storytelling Workbook (Routledge 2020).
2. Smoking gun: A collaborative data game experience
Smoking Gun is an interactive thriller for a non co-located audience in a post-truth world. In this workshop participants will experience a taster of the piece (via an app on their phones), hear about its development from its creators and have the opportunity to ask questions.
Smoking Gun was developed as part of a STARTS EU residency programme, as a collaboration between artists Fast Familiar and Data Stories at the University of Southampton.
Who should you trust in the age of disinformation?
A whistleblower contacts you, says they have information which the public should see. But they need your help getting it out there.
As you’re drawn into a world of politics, corruption and surveillance, who can you trust?
You can see a trailer here.
Fast Familiar make artworks which are participatory, playful and political. Fast Familiar’s lead artists are Dan Barnard, Joe McAlister and Rachel Briscoe. They design audience-centric experiences which often utilise ‘digital technology’.
Dan Barnard is one of Fast Familiar’s lead artists. He splits his time between Fast Familiar and working as Senior Lecturer at London South Bank University, where he leads the Digital Performance Research group. He won Best Short Paper at the International Conference on Interactive Digital Storytelling 2018, for a presentation on Fast Familiar’s Looking for Love.
Joe McAlister is one of Fast Familiar’s lead artists. He is a computational artist and a strong advocate for ecocentric transparency within digital art. He lectures part-time at Goldsmiths, University of London on the MA/MFA Computational Art degree and advises on University of London’s online BSc degrees. In 2020 he was named one of Aesthetica’s 100 international contemporary artists, for his work at Fast Familiar.
Organised by: Laura Koesten, Elena Simperl, Jonathan Gray, Nick Holliman