Dataviz Conferences to not miss in 2023
Are you ready to join the global dataviz community? Fortunately, there are a number of amazing conferences held throughout this year that can help you network with your peers, uncover new learnings, give you memories, and lot of fun. Let’s check them.
Eurasian Dataviz Conference
When: February 9–10
Where: Online
Cost: Free (light), $49(pro)
The Eurasian online conference opens the season. The event starts with a methodological panel discussion. There will be workshops, best practices and trends, and case studies. On the first day, you can also take part in the Make Your Data Speak award ceremony, where you can be inspired by the outstanding work of others! If you don’t have time to watch all the shows in 2 days, don’t worry. All materials are saved.
NICAR — Investigative Reporters and Editors
When: March 2–5
Where: Nashville, Tennessee, USA
Cost: $299 to $450, Student $100
NICAR is IRE’s annual data journalism conference. It is packed with panels, workshops, and roundtables covering the latest developments in investigative and data journalism. You can learn practical tips from prize-winning members during sessions.
Outlier
When: May 3–5
Where: Porto, Portugal and Virtual
Cost: From $108.55, $50–$200 (Virtual)
The Conference is hosted by the Data Visualization Society. The event will provide inspirational talks given by people who work across different industries and each has a unique and varying level of experience in the field of data visualization on specialisms.
Tableau
When: May 9–11
Where: Las Vegas, USA
Cost: $1550–$1750
If you work with Tableau this is your event this year. IT’S MORE THAN JUST A CONFERENCE. This is the world’s largest data community celebration. The event is an immersive data experience that is all about learning and networking opportunities for attendees, Get inspired by data success stories, discover how data-driven insights can take your business to new heights, and just have fun with the DataFam.
You know — “what happens in Vegas, stays in Vegas”.
S-H-O-W
When: June 1–2
Where: Utrecht, Netherlands
Cost: €167.89 (Online) — €388.06
S-H-O-W is organized by Graphic Hunters, a data visualization training institute. This one-track event exists of professional talks, discussions, music and other data visualization activities.
‘’We want more’’. ‘’Encore’’. ‘’Please’’.
Eurovis
When: June 12–16
Where: Leipzig, Germany
Cost: €200–€1100
EuroVis is the annual Visualization Conference organized by the Eurographics Working Group on Data Visualization. It has been a Eurographics and IEEE co-supported international visualization symposium held in Europe. The aim of the conference is to make and strengthen connections between visualization researchers and practitioners.
Visualizing Knowledge
When: June 16
Where: Espoo, Finland
Cost: €25–€129
VK23 is a one-day conference. It allows you to discuss and explore uncertainty in a new light and find prevalent questions and explanations through information design and dataviz to unravel the complexity.
Infographic Conference
When: October 13
Where: Hilversum(30 minutes from Amsterdam), Netherlands
Cost: More information soon
The Infographics Conference is an annual event in the Netherlands about information design, infographics and data visualization. Every year a selection of information designers from all over the world are invited to speak at our conference.
DataFest Tbilisi
When: November 9–11
Where: Tbilis, Georgia
Cost: More information soon
The greatest data festival on the crossroads of Europe and Asia. It brings together hundreds of data professionals and enthusiasts from all around the world, to share experiences, spread inspiration, create meaningful connections, and promote the cross-sectoral usage of data to make change.
Which conference are you attending?
Don’t hesitate to buy your tickets because these events provide a great opportunity to learn something new from the best, share your thoughts and build long-lasting relationships.
*I am constantly updating the list but if I miss something please drop me a mail or a comment here.
