Project Overview
Socioplastics is a long-term transdisciplinary research project initiated in 2009 by architect and researcher Anto Lloveras. The project operates at the intersection of architecture, urban theory, epistemology, systems theory, and media theory, and is structured not as a conventional publication series but as an evolving epistemic infrastructure. Rather than producing isolated texts, Socioplastics develops a stratigraphic corpus in which writing, indexing, conceptual terminology, datasets, and software environments operate together as a single research system. The project is based on the idea that in the contemporary digital condition, knowledge does not persist primarily through books or isolated academic papers, but through interconnected infrastructures composed of persistent identifiers, distributed repositories, datasets, and semantic metadata. Socioplastics therefore treats writing not only as discursive production but as infrastructural construction. Each text functions simultaneously as a theoretical fragment and as a node within a larger network composed of DOIs, datasets, software repositories, and machine-readable schemas. Over time, the project has developed into a large-scale corpus composed of indexed textual entries, conceptual cores, urban theory essays, glossaries, datasets, and software tools. The corpus is organized through a numerical slug system and stratigraphic logic in which texts accumulate, stabilize, and form conceptual layers. The result is not an archive in the traditional sense, but a structured field of relations in which concepts, texts, and infrastructures are continuously connected and reorganized.
Stratigraphic Structure of the Corpus
The Socioplastics corpus is organized as a stratigraphic textual field. This means that texts are not arranged as isolated essays or books, but as layers within a continuous research terrain. The first major stabilized layer of the corpus consists of the first thousand indexed entries, organized into ten Century Packs, each containing one hundred texts. These packs form what can be considered Tome I of the Socioplastics corpus, representing the foundational stabilized stratum of the project. Within this stratigraphic structure, certain texts function as conceptual anchors. These anchors are not simply important texts; they are structural texts that define the theoretical and operational framework of the project. To ensure long-term citability and archival stability, these conceptual anchors have been registered as DOI publications through Zenodo and Figshare. The DOI functions here as a form of geological fixation within the digital environment: a persistent identifier that stabilizes certain concepts and allows them to be cited, indexed, and retrieved over time. The project currently includes several conceptual cores, each composed of a series of DOI-registered publications. These cores define the main conceptual architecture of the Socioplastics framework and function as load-bearing elements within the overall structure of the corpus.
Conceptual Cores and DOI Publications
The conceptual structure of Socioplastics is organized around multiple cores, each addressing a different dimension of the framework. These cores are published as DOI-registered works to ensure their persistence within academic and archival systems. Core I establishes the Decalogue Protocols, which define the initial operational and conceptual principles of the Socioplastics framework. Core II, titled the Stratigraphic Field, stabilizes the numerical topology, scalar architecture, and relational mass of the corpus. Core III introduces the field structure of the project, connecting linguistics, conceptual art, epistemology, systems theory, architecture, urbanism, media theory, morphogenesis, and dynamics into a unified operational framework. Urban Essays, published through Figshare, form a parallel series focusing specifically on territorial systems, infrastructural asymmetries, energy regimes, and metropolitan dynamics. Together, these DOI publications form the fixed conceptual layer of the project. They are not isolated papers but structural documents that define the framework within which the rest of the corpus operates.
Distributed Research Infrastructure
One of the defining characteristics of Socioplastics is its distributed nature. The project does not exist on a single platform but across a network of interconnected repositories and systems. These include:
- The main website, which functions as the surface layer and public interface of the project.
- Zenodo, where conceptual cores and theoretical publications are registered with DOIs.
- Figshare, where the Urban Essays series is published.
- GitHub, which hosts the MUSE (Mesh United System Environment) software environment developed as part of the project.
- Hugging Face, which hosts the Socioplastics Index dataset, a machine-readable index of the corpus designed for computational analysis and machine learning applications.
- ORCID and OpenAlex, which provide persistent author identification and integration into global scholarly indexing systems.
This distributed structure ensures that the project does not depend on a single platform or institution for its persistence. Instead, the project exists as a mesh of interconnected nodes. Each platform performs a different function: DOI registration, dataset hosting, software development, author identification, or public dissemination. Together, they form an integrated research infrastructure.
The Dataset and Machine Legibility
A central component of the project is the Socioplastics Index dataset, hosted on Hugging Face. This dataset transforms the corpus into a machine-readable structure. The slug system used throughout the project allows each text to be indexed, categorized, and processed computationally. This enables the corpus to function not only as a body of theory but as a dataset that can be analyzed, mapped, and processed by algorithms. In this sense, the Socioplastics corpus operates simultaneously in two domains: the discursive domain of human-readable texts and the machinic domain of datasets and semantic metadata. The project therefore treats writing as a dual-address system: texts are written for human readers but also structured for machine readability through indexing, metadata, and semantic web technologies.
MUSE — Mesh United System Environment
The technical layer of the project is developed under the name MUSE (Mesh United System Environment), a software and conceptual environment designed to manage and operate mesh-based systems, stratigraphic data structures, and distributed knowledge environments. The GitHub repository associated with the project hosts scripts, structural models, and technical components that support the organizational logic of the Socioplastics corpus.MUSE should not be understood simply as software in the conventional sense, but as the technical environment that allows the project to function as an integrated system. If the corpus is the textual layer and the dataset is the machinic layer, MUSE is the operational layer that connects structure, data, and environment.
Semantic Web and Machine-Readable Metadata
The Socioplastics website incorporates JSON-LD semantic metadata based on Schema.org standards. This metadata defines the project as a ResearchProject, Dataset, SoftwareSourceCode, CreativeWorkSeries, and a set of ScholarlyArticle entities linked through persistent identifiers such as DOIs and ORCID. This machine-readable layer allows search engines, academic indexing systems, and knowledge graphs to interpret the project not as a collection of blog posts but as a structured research project with identifiable components: author, organization, publications, dataset, and software. This semantic layer is essential for long-term discoverability. In the contemporary digital environment, what is not machine-readable is often not discoverable. By structuring the project through persistent identifiers and semantic metadata, Socioplastics positions itself within the infrastructures that govern digital knowledge preservation and retrieval.
Keywords and Research Areas
Architecture Theory
Urban Theory
Epistemology
Systems Theory
Media Theory
Digital Humanities
Infrastructure Theory
Knowledge Systems
Transdisciplinary Research
Stratigraphic Urbanism
Distributed Archives
Semantic Web
Conceptual Art
Territorial Systems
Morphogenesis and Growth Models
These keywords reflect the transdisciplinary nature of the project and define its position within the contemporary intellectual landscape.
Suggested Citation
Lloveras, Anto.
Socioplastics — Research Framework and Corpus.
2009–ongoing.
Project website:
https://antolloveras.blogspot.com/
ORCID:
https://orcid.org/0009-0009-9820-3319
Project Infrastructure Links
ORCID:
https://orcid.org/0009-0009-9820-3319
OpenAlex:
https://openalex.org/authors/A5071531341
Project Website:
https://antolloveras.blogspot.com/
GitHub (MUSE):
https://github.com/AntoLloveras
Dataset (Hugging Face):
https://huggingface.co/datasets/AntoLloveras/Socioplastics-Index
Zenodo Publications:
https://zenodo.org/search?q=Anto%20Lloveras
Figshare Urban Essays:
https://figshare.com/authors/Anto_Lloveras
Final Note on the Nature of the Project
Socioplastics should be understood not as a book, a blog, or a conventional research publication series, but as an evolving epistemic infrastructure. Its primary objective is not only to produce theoretical content but to construct a system in which that content can persist, be indexed, be cited, be processed, and remain accessible over long periods of time. The project therefore operates simultaneously as a theoretical framework, a textual corpus, a dataset, a software environment, and a semantic web entity. In this sense, Socioplastics belongs to a category of research practices that treat knowledge not as a set of isolated publications but as an environment that must be built, maintained, and stabilized through technical, conceptual, and institutional structures. The project is ongoing, and its development should be understood as a long-duration process in which texts, datasets, software, and infrastructures continue to accumulate, stabilize, and reorganize into new stratigraphic layers over time.
