Bird species under category 'commonly found' on national parks, Inspecting art on the dataset. Finding possibilities of data visualization with an artist and design thinking approach. Based on public data from US National Park Service. The data nodes and edges represent how each bird species is found on multiple national park in the US.
1 million imdb movies ratings - respective user's voted count. Beautifully depicted using sci-fi colors.
Colors of hits
Color data from all frames of 9 hit movies of Christopher Nolan Memento, Insomnia, Batman Begins, The Prestige, The Dark Knight , Inception, The Dark Knight Rises, Interstellar, Dunkirk.
UAE - Dubai DXB all arrival/departure marked with flight numbers. Artistic data visualization depicted with colors of the national flower Tribulus omanense.
Addition to my quest for visualizing complexity of computational thinking and using data as my paint. With the service of AI (artificial intelligence) such as generative adversarial network (GAN) and many other to create amalgamations to analyze form by an artistic thinking with the help of machine intelligence. Not a single source from art is used to create these paintings the model itself ended up giving it vibes of unique historic art movement styles. Just to get philosophical, As we have not yet figured out what conscious itself is, then how can we define what art should be.
( 5 years Ethereum stat data)
Addition to my 'Data Art' series this is my new exploration of 'Simulation + Data Art' this is a road to experiment data art works with an intent of adding the right theme style and a simulative approach apart from being fully abstract. This is an artistic expression of blockchain technology. As all the information stored on a blockchain is stored in groups called blocks and each block is time-stamped and linked to the one generated before it in time, creating a linear chain of blocks. Mined from the public statistics of Ethereum datasets like:
Machine learning + Art
Another experimental project 'Machine learning Art'. Creative freedom on obsessive colours of the universe. Addition to my 'data+art' collective. Inspecting beauty in data and depicting the complexity of computational thinking. Method of amalgamation of Nebula image library from NASA's Hubble Space Telescope trained on StyleGAN model and experimenting 3d heightmaps on the same. Data, artificial intelligence, machine learning (ML), and deep learning (DL): These make up the zeitgeist of our current times. StyleGAN is a novel generative adversarial network introduced by Nvidia researchers in December 2018, and open sourced in February 2019. StyleGAN depends on Nvidia's CUDA software, GPUs and on TensorFlow.
City population Beijing
Variable geographic coverage Largest 30 cities Variable time span 2020 – 2035 Unit conversion factor for chart 1000000 Data published by United Nations, Department of Economic and Social Affairs, Population Division (2018). World Urbanization Prospects: The 2018 Revision, Online Edition.Link https://esa.un.org/unpd/wup/Download/ Data on city populations is available for the world's largest 30 cities by population (in 2015). Estimates are available in 5-year intervals from 1950 to 2015. Projections are also available to the year 2035 as published by the UN World Urbanization Prospects (2018) based on its median fertility scenario and urbanization trends. CC : ourworldindata.org
'Ameen Ul Insan' here...Artist obsessed with storytelling, datasets and human behavioral understanding to create experiences. After Industrial design from National Institute of Design, Currently I am independently exploring my personal project on 'Data X Art'.
Inspecting beauty in data and depicting the complexity of computational thinking, The ability to communicate your thoughts in a structured and logical way. This type of thought process is like the step by step instructions that are coded into a computer. It is also the process of thinking up and then solving problems in a methodical way that could be replicated by a machine. Software engineers, computer programmers, and logistics specialists use this method of thinking to solve problems. Computational thinking is a combination of advanced mathematics, algorithm development, and logic. The development of computational thinking involves considering a problem and breaking it down into single-action steps. Each of these steps is handled in the most efficient way possible. There is also an element of abstraction in computational thinking, which allows your child to move from a specific solution to a specific problem and generalize it to other situations. The result is a paradigm shift in thinking about how the world works.
My interest to start seeing an element of abstraction in computational thinking. The result is a paradigm shift in thinking about how the world works. My artworks also aim to evoke a sense of other-worldliness with its generative particles with unusual physics. This is a road to depict alien graphics apart from the usual style with the help of simulations with higher dimensional geometries that cannot exist in reality.
The idea of ‘storytelling’ with data is one way forward in terms of content beyond the typical depiction using words or visuals. This is my quest to engage people in stories beyond just looking at a picture and also delve into historical stories (data) by adding more narrative intent to it. With this, it’s possible to take data from almost anything we see around and use that to create an experience (story) which is live.
We are limited by our capabilities of human sense organs to create and experience art, So let's not blindly conclude on a definition on what art is, Art can be much more we don't yet know.