Research Focus
The research examines two different modes of color formation: the human, relational functioning of color and the image-based color formation of artificial intelligence.
The study focuses on how color emerges in systems where elements mutually define each other, particularly in perceptual development, where color does not appear as a fixed visual attribute but develops through experience.
It investigates how color is connected to memory, temporality, and spatial perception, and how these relationships shape visual understanding, especially in early stages of perception.
In parallel, the research examines how color appears in AI image generation, where the image is produced as the result of a computational process and color emerges as an immediate output rather than a temporally evolving experience.
The research does not aim to evaluate these approaches, but to investigate how they operate. Its objective is to understand the different logics through which relational color systems and AI-generated image structures come into being.
Foundation Documents
The research presented within this laboratory is grounded in a structured set of foundational documents that establish the theoretical, methodological, and conceptual basis of the project. These texts define the investigation of color as a generative phenomenon, examining its emergence in human perception and its transformation within AI-based image generation systems.
The documents below form the core framework of the research. The first establishes the primary theoretical model, while the second expands this framework into an interdisciplinary context with a specific focus on developmental perception and conceptual structure.
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Color as a Generative Principle in the Work of Sonia Delaunay
Version 9.1 – Theoretical and Historical Expansion
This document presents the central theoretical foundation of the research. It examines color as an active, generative force in visual perception, grounded in the work of Sonia Delaunay, and extends this framework into the context of algorithmic image production and artificial intelligence. The study explores how color relationships emerge through perception, time, and visual structure, forming the basis for comparing human and machine-generated image systems.
Open Document | Download PDF -
Interdisciplinary Foundation Edition
Version 2 – Consolidated Conceptual and Terminological Framework
This document builds upon the primary theoretical study and expands it into an interdisciplinary framework. It introduces a structured conceptual and terminological system for analyzing the generative role of color, with particular attention to developmental perception and cognitive formation. The text connects art theory, perception studies, and AI-related image formation into a unified research model.
Open Document | Download PDF
Research Questions
- How does color function as a generative, autonomous organizing principle rather than as a static visual property?
- How does color emerge as a temporally unfolding event through the interaction of light, material, movement, and the perceiving body?
- How does color operate as a relational system in which elements mutually define each other?
- How does the relationship between color, memory, and temporality develop in childhood perception?
- What role does color play in structuring temporal experience and mnemonic formation in early cognitive development?
- How does perceptual development influence the formation and stabilization of color perception in children?
- How does the neural processing of color develop in early vision, and how is it shaped by affective, spatial, and temporal relations?
- What differences exist between the perception of natural, continuously changing color phenomena and algorithmically generated visual environments?
- How does the shortening of perceptual time in AI-generated imagery affect the relationship between color and memory?
- How does color function within AI image generation as a computational and statistical output rather than an experiential process?
- What are the structural differences between process-based (time-dependent) and instant (algorithmic) color formation?
- How does color function as a decision-making and organizing operation within human perception?
- How does color influence attention, perception, and cognitive orientation in pedagogical environments?
- What role does the educator play in shaping color as part of the visual learning environment?
- How do institutional and technological frameworks influence the application and perception of color in learning spaces?
- How does color function as a culturally emerging experience shaped by social, media, and visual-cultural systems?
- How do algorithmic image systems stabilize, normalize, and repeat color patterns in visual culture?
- How do cultural codes influence the meaning, interpretation, and perception of color in childhood?
- How does color operate simultaneously as a sensory event and as a cultural sign?
- How can the generative autonomy of color be understood within contemporary digital and algorithmic visual environments?
Documentation
The lab operates as an evolving research environment. Notes, analysis, and experimental materials are published progressively as the work develops.
Network
The NVO987 network is a decentralized research infrastructure composed of distinct but closely interconnected web nodes. The purpose of the system is to ensure that identity, research, knowledge representation, and publication function not as isolated elements, but within a unified, interoperable environment.
The network is not a traditional website, but a modular structure in which each subdomain performs a defined role. These nodes together form a system in which the research process, data, and identity are all represented in a structured and machine-readable form.
- identity.nvo987.us — the central element of decentralized identity, which provides authentication, data integrity, and a unified reference layer for the entire network through the did:web:identity.nvo987.us identifier.
- knowledge.nvo987.us — the knowledge representation layer, used for publishing structured data, graph-based models, and machine-processable research content.
- nvo987.us — the root domain of the network, serving as the structural and conceptual entry point, where the overall architecture and operational logic of the system are presented.
The system is based on decentralized identity (DID), semantic web technologies, and machine-readable research structures. The individual modules do not operate independently, but as part of a unified network in which every component is built on the same identity and data framework.
This structure makes it possible for research to exist not only in the form of publications, but as a continuously expanding, interconnected knowledge system that is interpretable from both human and machine perspectives.
Network Affiliation and Status
The NVO987 – Culture Visuelle Moderne et Contemporaine is an independent cultural and research association operating in France, primarily active within the cultural and artistic context of Paris, with international connections.
The official website of the association is available at:
https://nvo987.fr
The association operates at the intersection of contemporary visual culture, artistic research, and cultural studies, and positions itself as part of a broader international research and digital identity network.
Its activities are closely connected to the NVO987 ecosystem, including identity infrastructure, research data management, as well as digital publication and archiving systems.
The association aims to develop experimental and interdisciplinary projects that explore the relationships between visual culture, contemporary art, and digital technologies — particularly decentralized systems and artificial intelligence.
The association does not have institutional status in the classical academic or research institute sense. It is not affiliated with a university or an official research institution.
NVO987 operates as an open, autonomous, and experimental structure, independent from institutional frameworks, and seeks alternative forms of research, documentation, and knowledge dissemination.
The network and digital infrastructure are accessible at the following link:
https://identity.nvo987.us
Web3 Presence
NVO987 operates as two separate but interconnected entities on the decentralized web: a technological infrastructure and a cultural association.
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NVO987 – Decentralized Research Infrastructure
https://nvo987.eth.limo
Research infrastructure focused on the development of decentralized identity, semantic web technologies, and machine-readable knowledge systems. -
NVO987 – Culture Visuelle Moderne et Contemporaine
IPFS domain
Independent cultural and scientific association dedicated to the research, documentation, and dissemination of visual culture.
Contact
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Research & Identity Infrastructure
nvo@nvo987.us -
Cultural Association (NVO987)
contact@nvo987.fr -
Direct Contact
0730nicholas@gmail.com