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© Image: Anna Nazo: Fractal Lymph (performance), 2019

DATA LOAM - Sometimes Hard, Usually Soft


„Data Loam“ line-up on Friday, March 1st 2019
15:00 - 18:30

Angewandte Innovation Laboratory
Franz Josefs Kai 3, 1010 Wien

15:00 - Martin Reinhart
University of Applied Arts
Introduction to the „Data Loam“ project

15:40 - Matthias Tarasiewicz
RIAT - Institute for Future Cryptoeconomics
Archives, Artefacts and Data Marketplaces of Post-Factual Data: Future Cryptoeconomics as Data Loam

16:30 - Mattia Paganelli
Royal College of Art, London
Beyond Doubt

17:20 - Leonard Coster
Actimoto GmbH
The algorithmic approach of the „Data Loam“ project

„Data Loam“ a PEEK project in cooperation with the University of Applied Arts Vienna, the Royal College of Art in London, RIAT Vienna and the Master Programme Arts & Science. It is funded by the  Austrian Science Fund (FWF)

Please also visit the exhibition of our project partner RIAT - Institute for Future Cryptoeconomics on Friday, February 22nd 2019 starting 19:00 at MuseumsQuartier Vienna

Future Cryptoeconomics: The Genesis Stack

Martin Reinhart
University of Applied Arts

Introduction to the „Data Loam“ project

The „Data Loam“ project addresses the need to articulate information and its regimes beyond the modern paradigm of indexicality and its post-modern failing as the only dimensions available. It explores how the historico-political current phase forbids fantasising about the internet being a place for freedom and democracy; a place where these will just happen by the nature of the technology; and how the availability of information is not enough to make people access it.

It proposes that another “manifesto” is needed to navigate this new universe politically as well as aesthetically. Immaterial goods and immateriality of information/knowledge; all this is matter, it has value and can produce power as well as possibilities for making sense. It leaves behind all binary structures of depth/surface or immanence/transcendence, or representation as an ontological structure, for dynamic regimes where correlations generate mass and produce vectors.

This new environment has been diffracted along three main sets of enquiry:  how to search tag and organize data;  how data becomes self-organized and can produce self-governance beyond data systems; how correlations create matter and generate entanglement as environments or aesthetico-political ecosystems with heterogeneous and local dimensions. In so engaging the investigation along these three axes, it become clear that a wholly different set of methods, aesthetics, ethics and applications emerged. We call this emergence: "Data Loam".

Matthias Tarasiewicz
RIAT - Institute for Future Cryptoeconomics

Archives, Artefacts and Data Marketplaces of Post-Factual Data: Future Cryptoeconomics as Data Loam

During the two years of the research project DATA LOAM, the Research Institute for Arts & Technology (RIAT, Institute for Future Cryptoeconomics) worked with a set of experimental and exploratory methods to tackle questions of data ownership, data politics, speculative design of future data archaeology and novel approaches to post-factual data.

In this time frame the residency for future cryptoeconomics (in cooperation with the MuseumsQuartier Vienna) brought 10 artists and researchers to Vienna to work and co-produce art+research projects with RIAT. The performance “Proof of Burn - Burning Money. Burning Value. Burning Trust” made cryptoeconomics tangible and demonstrated experimental economics in speculative AFK settings.

The research output has further been exhibited and presented at Transmediale (Berlin), Grey Areas Festival (San Francisco), Ethereum Devcon4 (Prague) and 35C3 (Leipzig). Research interviews and essays have been published in the “Future Cryptoeconomics” magazine, which is an unusual publication: it is a hybrid of a magazine, newspaper or lab notebook printed on thin paper material with rotational print technique. Future Cryptoeconomics also is an experimental system, "artistic technology" where different forms of inquiry collide.

In “Future Cryptoeconomics: The Genesis Stack” the first and initial prints of the magazine (which have been held back from circulation) are inscribed in the chain of the world computer via NFT technology. This is the inaugural event and start of the *RIAT decentral archive for process artefacts* and also gets displayed in the final exhibition "Data Loam: on the future of knowledge systems and the materiality of information".

Mattia Paganelli
Royal College of Art

Beyond Doubt

How do patterns of impossibility create dimensions and therefore matter? But rather than concentrating on randomness and resolution, it looks at possibilities that have become closed (disproved) and those that remain open (provable). Thus, shifting the gravity from measure, always hoping to reach true/false statements, to the marks left by the contradictions encountered and the receding horizon of the possible still to the be proved; that is, the bifurcation points between incompossible configurations of matter. Here the history of the question marking or even becoming the shape of the matter. The very asking of a question is possible on the platform of information entropy.

Leonard Coster
Data Loam

The algorithmic approach of the „Data Loam“ project.

One problem with the current archival and encyclopedic approaches – like national libraries or Wikipedia – is that such systems often hold large volumes of poorly indexed and poorly catalogued data. This not do diminish the effort of librarians who have struggled with the rigidity of traditional indexing systems and lack of computational power. Therefore any solution needs to be algorithmic and scalable. One part of our work focuses on the use of language hierarchies as defined by linguists in language lexicographies. This defines upwards (or holonomic) and downwards (meronomic) connections between language terms.

This has allowed us to construct lexicographic chains which include this hierarchy around each term, therefore defining it far more accurately. This has implications in connecting terms and resolving ambiguities (Spring / Spring). To use a graph analogy this allows us to create waited links between items even where they don’t even contain identical terms - and is therefore semantic in nature.

We believe this is a vastly richer indexing methodology than any reductionist human assigned system could be and could be used an entry point for structured query systems such as SPARQL and could even suggest alternative terms, relationships and alternative (ambiguous) branches at each step in the query process. Rather than simply dividing a set of data into existing categories, the properties inherent to the data itself seek towards their own optimal relative locations in a multidimensional “knowledge expression matrix”.

This algorithmic correlation dynamically responds to each new piece of information, reordering the elements of the system and setting the coordinates and distances between the individual data objects. In this way it is possible to map extremely complex and interdependent or even conflicting meanings, and to free oneself from the constraints of conventional rigid hierarchies. The underlying mathematical model treats the data as a physical system to models its behavior and calculate the movements and reactions. A prototype with visual rendering of the process already allows one to watch as the particles of such a knowledge system self organize into lower entropy stable states.

Featured artists

Leonard Coster, Juan Cruz, Johannes Frauenschuh, Maximilian Gallo, Johnny Golding, Ivonne Gracia Murillo, Nora Lengyel, Monica C. LoCascio, Manu Luksch, Anna Nazo, Andrew Newman, Marc Orou, Istem Özen, Mattia Paganelli, Julian Palacz, Martin Reinhart, Henry Rogers, Marthin Rozo, Marc Schuran, Laura Stoll, Matthias Strohmaier, Mauricio Suarez, Matthias Tarasiewicz, Florian Unterberger, Sophie-Carolin Wagner, Virgil Widrich, Despina Zacharopoulou, Jimmy Zurek

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DATA LOAM - Sometimes Hard, Usually Soft
March 01, 2019, 15:00h
AIL – Angewandte Innovation Lab, Franz Josefs Kai 3, 1010 Wien