Generative video based on open source climate data
KOKKINO
EXHIBITIONS +
awards
October - November, 2023
Kokkino won the First Prize in Datos+Arte 2023, hosted by the Inter-American Development Bank (IDB) and the ABRELATAM/CONDATOS conference.
Exhibition at CAF, Montevideo, Uruguay
Kokkino exhibited at the Festival de Datos en Punta del Este
Punta del Este Convention Center, Uruguay
7-9 November, 2023
Kokkino is a generative video and infographic based on open-source climate databases to transform raw data into organic, evolving visual art. It highlights the urgent need for global action and serves as a compelling call to recognize and address the climate crisis.
Kokkino is a visual work situated at the intersection of art, data, science and technology. The name of the piece is derived from the Greek term for red, resonating as an urgent color coded alert for the climate emergency.
Fueled by open-source climate databases, the work transforms objective data into visual and emotional representations, connecting with movements that value transparency and collaboration.
The work is positioned at the crossroads of climate impact and collective perception, serving as a dynamic reflection of the environmental crisis and as an exhortation to recognize, respond to, and resolve the global challenges we as a species face and have contributed to create.
It is a call to action, a reminder of the urgency of a global commitment, and thanks to its generative nature, an evolving representation of the climate state.
Data sources:
GISTEMP Team, 2023: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2023-10 at https://data.giss.nasa.gov/gistemp/.
Lenssen, N., G. Schmidt, J. Hansen, M. Menne, A. Persin, R. Ruedy, and D. Zyss, 2019: Improvements in the GISTEMP uncertainty model. J. Geophys. Res. Atmos., 124, no. 12, 6307-6326, doi:10.1029/2018JD029522.
In this work, we seek to merge the abstract world of data and scientific analysis with the realm of metaphorical visual representation. Algorithmic logic intersects with artistic intuition, allowing Kokkino to breathe and respond dynamically.
Through open-source climate data sets, Kokkino evolves and reacts.
We use a dense particle system alluding to the macro-micro level of our existence in a complex intertwined system where all elements interrelate and are part of the overall outcome.
The movement recalls the oceanic currents and air currents which are altered by climate change, and are at the same time indicators of temperature shifts for global warming analysis.
Data responding to cooler temperatures is represented in a bluish-white color, while as temperatures rise, the color turns to red, reaching an intense scarlet hue when the data peaks, coinciding with recent years.
Through this representation, the cold, emotionless numbers are expressed by the emotionally moving visual representation. Kokkino seeks to confront planetary suffering and public perception. Although the data may tell a story of distress, the generative visuals translate it into a narrative that resonates at a profound and human frequency. Each change in shape, each color transition, each algorithmic reaction is a reminder of the global commitment and our collective responsibility to act.
As a work, it challenges us to see the connections, the overlaps, the points where disparate worlds meet. It is an invitation to understand climate fall as a change not only as a scientific problem but as a cultural, emotional, and existential one.
Awards, exhibition and catalogue.
Exhibition - CAF, Montevideo, Uruguay
Kokkino (2023) de Leticia Almeida y Mathías Chumino es una instalación de video generativo e infografía basado en bases de datos abiertos ganadora del primer premio en la muestra Datos+Arte 2023 , organizado por el Banco Interamericano de Desarrollo (BID) y ABRELATAM/CONDATOS, los encuentros sobre Datos Abiertos más importantes de América Latina y el Caribe.
Fotos de la exhibición: Alina Viera para Abrelatam y María Pérez Gutiérrez / RAW