Data art is the field of data visualization at the junction with art. Data art projects are more beautiful than understandable — their goal is not to convey information as clearly and quickly as possible, but to weave data into a creative statement.
Reflections of data art practitioners from all over the world on data art, stories about their projects
Data-humanism — Giorgia Lupi
Giorgia Lupi talks about her idea of "Data and Humanism". It offers a new approach to working with data that makes data more “human” and understandable. Giorgia says that data can be beautiful and that data should help people understand the world around them. She also calls for greater openness and collaboration in working with data.
Kirill Benzi tell us that data art can help better understand the world of art and the world of data. Data art is like a combination of science and art. The manifesto says that data art can be a powerful tool for conveying complex information and ideas.
The author also emphasizes the importance of creativity and freedom in creating data art: it is important not to be afraid to experiment and express your ideas through data.
Lively, political visual words —Federica Fragapane
How can visual art and politics come together in one project? Federica creates special projects that express political ideas and feelings. She uses graphic elements, words and colors to talk about important issues such as equality and human rights. (2023)
Visualizing Coffee, Milk, and Sugar! (RUS) - article about a small spontaneous challenge in the Russian data visualization community, focusing on visualizing the consumption of coffee, milk, and sugar.
How are dataviz projects evaluated? — an article on the results of the international dataviz award “Make Your Data Speak Award 2023”, where I was one of the organizers. The article is devoted to how judges evaluate dataviz projects, what they pay attention to. (2023)
Flowers & Numbers — an article about the creation of our data art community “Flowers and Numbers” in the international data art magazine Nightingale. (2024)
Books about data art
"Dear Data" — Giorgia Lupi & Stefanie Posavec
Dear Data is an annual analog data visualization project created by Giorgia Lupi and Stefanie Posavec, two data artists living on different sides of the Atlantic. They became friends by collecting and manually drawing personal data and sending them to each other in the form of postcards. (2016)
This book is the perfect combination of inspiration and knowledge for all levels. Nadieh Bremer and Shirley Wu— masters of data visualization— talk about their projects, how processes are built and what approaches they use. Their work inspires newcomers and shows examples of effective communication through data. This book is a real delight for the eyes and mind. (2021)
"Making with Data" — Physical Design and Craft in a Data-Driven World
An incredible collection of outstanding physicalization, movable, glass, clay, plastic, handmade and many others! The book gives incredible inspiration in the field of data art, every artifact from here is amazing and causes an urgent desire to make tangible data art and visualizations. (2023)
The book of data art exercises "Observe, collect, draw!" Giorgia Lupi & Stefanie Posavec
If someone wanted to start making data art urgently, but does not know where to start, then this journal is a great help! It is literally an exercise book with theory, assignments, and a place to practice. Everything is done in a very nice style, it is interesting to study. (2018)
Introductory broadcast on the topic of data art. Natalia Kiseleva and Nadia Andrianova communicate on the topic of data art, share their projects, as well as the projects of their favorite data artists. (2023)
Generative design specialists Ivan Dianov and Adam Arutyunov discuss with Natalia Kiseleva the similarities and differences between genart and data art, and also study projects on the edge of these two directions. (2024)
Data visualizers Alexander Bogachev, Tina Berezhnaya, Nadia Andrianova and Natalia Kiseleva discuss the direction of material data art, explore world practices and share their projects. (2024)
Nadia Andrianova and Natalia Kiseleva discuss handmade data art, share their projects, try to find the limits of handmade data art and do not find them! Clay, fabric, yarn, beads, copper pipes and much more. (2024)
Denis Zaporozhan and Natalia Kiseleva discuss different approaches to data art, different tools and their features, and try to find and determine the influence of tools on the artist's style. Denis also talks about no-code programming of data art. (2024)
Roman Bunin's video podcast with Alexander Varlamov about the career path, the development of BI systems, the skills of BI specialists, an example of a project in the Scoreboard and how Alexander got to data art. (2020)
In an interview with Nick Desbarats, Alberto Cairo talks about his new book, which contains a lot of data art and stories of creating data art projects. And also about why it is sometimes worth moving away from the classic rules of a dataviz. (2023)
In one of the issues of the series “On Data And Design — Adrien Segal”, data sculptor Adrien Segal talks about data sculptures and asks the question: “Where does design end and art begin?" (2023)
Sonja Kuijpers' speech at the Datafest in Tbilisi, where she talks about the creation of her projects, was one of the most interesting in my opinion — "A look at despair". (2020)
Stefanie Posavec in the issue “On Data And Design" talks about her projects aimed at finding new and experimental approaches to data and information transfer. (2022)
Tiziana Alocci explores the fascinating world of sensory data. Her report touches on the fields of sound, music, aromatherapy and aromatherapy, introducing a new approach to data demonstration. (2023)
One of the oldest videos about data art that I found is the data artist Nathalie Miebach at TED talks about his material data art and music based on weather data. (2011)
Our community is already international enough to be interested in where and who lives. We send postcards to each other, and also celebrate this fact, collecting data on the geographical location of the participants and the speed of the mail!
It all started with this project in 2024. The first task within the framework of the data art practice was to make data badges based on a simple dataset about the skills of community members - personal badges of each participant. What came of it, see the link!
In June 2024, we had the first personal meeting of the St. Petersburg branch of the community. Nadia Andrianova came to us from Moscow and showed us a master class on material data art! Follow the link to see how the event went.
In June 2024, we had the first personal meeting of the St. Petersburg branch of the community. Since the community is international, this is a very good crowding! As part of the events, Ulyana organized a data walk, during which we collected data in order to visualize them later!
Soon
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