Networks and more 

Data stories 2020

This year we participated in the exhibition in Budapest in 2020 on data stories https://events.ceu.edu/2020-02-04/data-stories-2020-data-visualization-exhibition-opening  

It has been 7th Edition Data Stories 2020 Exhibition Opening Data Stories is an exhibition of research results visualizations comprising diverse topics, ranging from social, historical and political, to environmental, artistic and scientific themes. Projects from the private, public and academic sectors are welcome. A picture is still worth a thousand words, and our aim is to bring together new insights and approaches on how to best communicate research output in a visual way. We hope to foster and encourage collaboration in the academic environment and communication between student talents and future employers. The exhibition generates an open dialogue on substantive scientific knowledge and technological interests and skills.

Abstract: 

Japanese ink painting, “sumi-e”, was developed in Japan in the XIV century. From its very conception, it was characterised by austerity and minimalism and mainly practiced by the monks of the Rinzai sect of Zen. Later, the sumi-e became a secular art and was largely used in the decoration of the traditional houses. There are three essential materials to practice sumi-e: ink, special brush, rice paper. These elements are essential and their combination creates unique paintings.

Working with mathematical objects or data visualisation, one relies on principles very similar to those of sumi-e: simplicity and abstraction. When mathematical ideas are both simple and abstract, they have the power to convey intuitive messages about the nature of things. Abstraction allows to capture complex elements in nature (the movement of a fish, a spider net in the wind), and simplicity of the language then grants an internal understanding of the abstract message of sumi-e or of the mathematical object. In our network-art work, we use various network representations to highlight complex interrelations between objects in nature and their translation in the aesthetics of Japanese paintings.


AI for Good summit

After we participated in the exhibition in Budapest in 2020 on data stories https://events.ceu.edu/2020-02-04/data-stories-2020-data-visualization-exhibition-opening  

we also sent our work to AI for Good summit

 https://aiforgood.itu.int/  

This is pieace of work connected to several various topics, which we tried to link together:

This all can be used for explaining power of connections between people.

Virtual gallery in City Interaction lab

Happy to present virtual gallery from the hear of offline atelier and virtual gallery of city interaction lab. 

It is presenting work from different artists who lived and worked there. To read more about the place of a gallery please go to  Espace albatros.

Network art workshop I

We co-organised event on drawing random networks at CRI 

Together with Roberto, Katja, Marc, Eric, Marina, Liubov


The event was divided into two main parts: 

1. science part (we describe and show on computer different types of networks), 

show in python and mathematica wolfram how to generate random networks 

2. art part: we show how to draw and generate random networks, which can resemble properties of many complex systems, the results of demonstrations can be taken away by participants of this small atelier. 

New edition is coming with ISCPIF Fete de la Science.

Network art workshop II

Inspired by several recent exhibits in Palais de Tokyo we started to search what else can we find in the city related to the intersection of both, art and science.


My virtual gallery

I am happy to participate in Imaginary.org community. 

All images are (c) Liubov Tupikina is not specified otherwise.

Please look at my other works at Imaginary open mathematics gallery 

https://imaginary.org/gallery/networks-and-the-world 

Drawing and printing networks

2D printed networks from Roberto and Katja (c)

2D printing of networks of Königsberg problem. This printing technique allows visualising networks of arbitrary size.