Archive for the ‘Media ecology’ Category

Library’s Other Intelligences opens

December 22, 2018 Leave a comment

I am happy to share that our joint project with Shannon Mattern, Library’s Other Intelligences, opens in the new Oodi library in Helsinki in January!

Digital cultures of alternative intelligence, library architectures as a stage for performance and imaginary languages, and memory machines tours that take you through the library as a living organism of infrastructure are some of the themes the works by Jenna Sutela, Samir Bhowmik and Tuomas A. Laitinen address!

The opening takes place on January 11th including a small symposium on January 12th. There is also a press tour on Wednesday 9th of January – please be in touch if you want to attend.

Warm welcome to all! A brief blurb below including a link to the Memory Machines tours.

Memory Machines tours: January 11, 12 &13 at 18:30. Sign up here.

The Library’s Other Intelligences, an art project organized by the MOBIUS Fellowship Program of the Finnish Cultural Institute in New York in collaboration with the Helsinki Public Library, will open at the new Central Library Oodi in January 2019. The project features newly commissioned artworks, original research and a series of events, including an opening celebration on Friday, January 11, and a symposium on Saturday, January 12.

MOBIUS fellows Jussi Parikka (University of Southampton, Winchester School of Art, UK) and Shannon Mattern (The New School, US) have commissioned Finnish artists Samir Bhowmik, Tuomas A. Laitinen, and Jenna Sutela to create works that examine the new intelligences represented in our evolving knowledge institutions. These artworks reveal the alien logics of neural nets, give voice to machinic and speculative languages, and make visible the material infrastructures that allow intelligence to circulate. The exhibition’s featured artists are known for work that engages with AI, biological intelligence, digital culture, and the infrastructures of modern societies.

Visitors to the library will be invited to engage with the works ­– and with the new building – by attending live performances, embarking on expeditions, and reimagining how we will read, listen, and learn in a new techno-cultural future. The opening celebration will take place at Oodi on Friday, January 11, from 7 to 10pm; and the curators and artists will host a symposium about the exhibition on Saturday, January 12, from 2 to 4pm.


Image: Jenna Sutela: nimiia ïzinibimi, 2019


On Air, Inhale

December 17, 2018 Leave a comment

I had the pleasure of contributing to Tomas Saraceno’s new show On Air at Palais de Tokyo with a short text for the publication as well as with a talk as part of the seminar on December 14th, which was organized by Filipa Ramos. The show itself moves from spiders and webs to air and balloons, from entanglements of the Anthropocene to the light materials of the Aerocene combining speculative design, investigation of materials and beautiful installation structures.

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My short text for the catalogue was titled “Inhale”:

Inhale and you engage with history, not metaphorically, nor poetically but literally. Inhale the air of a city and you inhale its industrial legacy, its current transport system, its chemistry built at the back of technological progress. There’s more in the air and the sky than meets the eye. On the level of eyes, nostrils and skin, the city and its surroundings, it becomes  a touch. It is inhaled, enters the body as haptic environment. It is the haptic environment in which one sees and encounters the surroundings as a large scale Air-Conditioning Show. It is history carried forward as chemistry. It is technology breathed in as minuscule particles. The air is the environment we have to somehow learn to address as one way to invent a breathable future.


Machine Learned Futures

September 6, 2018 3 comments

We are with Abelardo Gil-Fournier writing a text or two on questions of temporality in contemporary visual culture. Our specific angle is on (visual) forms of prediction and forecasting as they emerge in machine learning: planetary surface changes, traffic and autonomous cars, etc. Here’s the first bit of an article on the topic (forthcoming later we hope, both in German and English).

“’Visual hallucination of probable events’, or, on environments of images and machine learning”

I Introduction

Contemporary images come in many forms but also, importantly, in many times. Screens, interfaces, monitors, sensors and many other devices that are part of the infrastructure of knowledge build up many forms of data visualisation in so-called real-time. While data visualisation might not be that new of a technical form of organisation of information as images, it takes a particularly intensive temporal turn with networked data that has been discussed for example in contexts of financial speculation.[1] At the same time, these imaging devices are part of an infrastructure that does not merely observe the microtemporal moment of the “real”, but unfolds in the now-moment. In terms of geographical, geological and broadly speaking environmental monitoring, the now moment expands in to near-future scenarios in where other aspects, including imaginary are at play. Imaging becomes a form of nowcasting, exposing the importance of understanding change changing.

Here one thinks of Paul Virilio and how “environment control” functions through the photographic technical image. In Virilio’s narrative the connection of light (exposure), time and space are bundled up as part of the general argument about the disappearance of the spatio-temporal coordinates of the external world. From the real-space we move to the ‘real-time’ interface[2] and to analysis of how visual management detaches from the light of the sun, the time of the seasons, the longue duree of the planetary qualitative time to the internal mechanisms of calculation that pertain to electric and electronic light. Hence, the photographic image that is captured prescribes for Virilio the exposure of the world: it is an intake of time, and, an intake of light. Operating on the world as active optics, these intakes then become the defining temporal frame for how environments are framed and managed through operational images, to use Harun Farocki’s term, and which then operationalize how we see geographic spaces too. The time of photographic development (Niepce), or “cinematographic resolution of movement” (Lumière), or for that matter the “videographic high definition of a ‘real-time’ representation of appearances”[3] are part of Virilio’s broad chronology of time in technical media culture.

But what is at best implied in this cartography of active optics is the attention to mobilization of time as predictions and forecasts. For operations of time and production of times move from meteorological forecasting to computer models, and from computer models to a plethora of machine learning techniques that have become another site of transformation of what we used to call photography. Joanna Zylinska names this generative life of photography as its nonhuman realm of operations that rearranges the image further from any historical legacy of anthropocentrism to include a variety of other forms of action, representation and temporality.[4] The techniques of time and images push further what counts as operatively real, and what forms of technically induced hallucination – or, in short, in the context of this paper, machine learning – are part of current forms of production of information.

Also in information society, digital culture, images persist. They persist as markers of time in several senses that refer not only to what the image records – the photographic indexicality of a time passed nor the documentary status of images as used in various administrative and other contexts – but also what it predicts. Techniques of machine learning are one central aspect of the reformulation of images and their uses in contemporary culture: from video prediction of the complexity of multiple moving objects we call traffic (cars, pedestrians, etc.) to satellite imagery monitoring agricultural crop development and forest change. Such techniques have become one central example of where earth’s geological and geographical changes become understood through algorithmic time, and also where for instance the very rapidly changing vehicle traffic is treated alike as the much slower earth surface durations of crops. In all cases, a key aspect is the ability to perceive potential futures and fold them into the real-time decision-making mechanisms.

The computational microtemporality takes a futuristic turn; algorithmic processes of mobilizing datasets in machine learning become activated in different institutional context as scenarios, predictions and projections. Images run ahead of their own time as future-producing techniques.

Our article is interested in a distinct technique of imaging that speaks to the technical forms of time-critical images: Next Frame Prediction and the forms of predictive imagining employed in contemporary environmental images (such as agriculture and climate research). While questions about the “geopolitics of planetary modification”[5] have become a central aspect of how we think of the ontologies of materiality and the Earth as Kathryn Yusoff has demonstrated, we are interested in how these materialities are also produced on the level of images.

Real time data processing of the Earth not as a single view entity, but an intensively mapped set of relations that unfold in real time data visualisations becomes a central way of continuing the earlier more symbolic forms of imagery such as the Blue Marble.[6] Perhaps not deep time in the strictest geological terms, agricultural and other related environmental and geographical imaging are however one central way of understanding the visual culture of computational images that do not only record and represent, but predict and project as their modus operandi.

This text will focus on this temporality of the image that is part of these techniques from the microtemporal operation of Next Frame Prediction to how it resonates with contemporary space imaging practices. While the article is itself part of a larger project where we elaborate with theoretical humanities and artistic research methods the visual culture of environmental imaging, we are unable in this restricted space to engage with the multiple contexts of this aspect of visual culture. Hence we will focus on the question of computational microtime, the visualized and predicted Earth times, and the hinge at the centre of this: the predicted time that comes out as an image. The various chrono-techniques[7] that have entered the vocabulary of media studies are particularly apt in offering a cartography of what analytical procedures are at the back of producing time. Hence the issue is not only about what temporal processes are embedded in media technological operations, but what sounds like merely a tautological statement: what times are responsible for a production of time. What times of calculation produce imagined futures, statistically viable cases, predicted worlds? In other words, what microtemporal times are in our case at the back of a sense of a futurity that is conditioned in calculational, software based and dataset determined system?

[1] Sean Cubitt, Three Geomedia, in: Ctrl-Z 7, 2017.
[2] Paul Virilio, Polar Inertia, London-Thousand Oaks-New Delhi, 2000, S. 55.
[3] Ebenda, S.61
[4] See Joanna Zylinska, Nonhuman Photography, Cambridge (MA) 2017.
[5] Kathryn Yusoff, The Geoengine: geoengineering and the geopolitics of planetary modification, in: Environment and Planning a 45, 2013, S. 2799-2808.
[6] See also Benjamin Bratton, What We Do Is Secrete: On Virilio, Planetarity and Data Visualisation, in: John Armitage/Ryan Bishop (Hg.), Virilio and Visual Culture, Edinburgh 2013, S. 180–206, hier S. 200-203.
[7] Wolfgang Ernst, Chronopoetics. The Temporal Being and Operativity of Technological Media, London-New York 2016.


The Anthrobscene, the short booklet originally published by University of Minnesota Press, is now available in Spanish. Published by the Centro de Cultura Digital (in Mexico City) as Antropobsceno it is also now available as free e-pub download. The booklet was published in Portuguese in Brazil earlier this year.

Here’s Nora Khan’s earlier review essay about the Anthrobscene.


The Library’s Other Intelligences

May 26, 2018 1 comment

We are happy to publicly announce our art and curatorial project The Library’s Other Intelligences! Together with Shannon Mattern we are curating a show in Helsinki that includes three inspiring artists Jenna Sutela, Tuomas Laitinen and Samir Bhowmik who all engage in their work with the ecologies intelligence – artificial, artistic, ambient, architectural – that define the library as a cultural institution of knowledge. A key aspect of the project is that it is set as part of the new Helsinki Central Library Oodi – opening its doors in December.

The show opens in January and you can read more information here and if in Helsinki next week, please attend our event Alternative AI’s!

The project is realized through the Mobius Fellowship program of the Finnish Cultural Institute New York (and with the collaboration of Ilari Laamanen).

Surface Prediction

April 14, 2018 1 comment

I am giving a talk in Paris at the École Normale Supérieure and using it as an opportunity to present some new work. This writing stems from some collaborative work with artist Abelardo Gil-Fournier with whom we ran a collective workshop at transmediale on Surface Value . The practice-led workshop was set in the context of our larger discussion on surfaces, media and forms of valuation that pertain both to military and civilian spheres of images (such as aerial imaging) and continuing it in relation to contemporary forms of machine learning and neural networks that take their data from geographical datasets. Hence we are working on this question of prediction as it pertains to geographical and geological surfaces and how these forms of images (from time-lapse to prediction) present a special case for both financial uses of such predictive services and also their experimental angle as forms of moving image – experimental “video” art on a large scale.

Here’s a further excerpt from the talk that also draws on work by Giuliana Bruno, Lisa Parks, Caren Kaplan, Ryan Bishop and many others:

What I want to extract from this research platform that Gil-Fournier’s work offers are some speculative thoughts. At the basis of this is the idea that we can experiment with the correlation of an “imaged” past (the satellite time-lapses) with a machine generated “imaged” future and to test how futures work; how do predicted images compare against the historical datasets and time-lapses and present their own sort of a video of temporal landscapes meant to run just a bit ahead of its time. Naturally would easily risk naturalising things that are radically contingent: mining operations, capital investments, urban growth and financial valuations, geopolitical events, and such. But instead of proposing this as naturalisation, it works to expose some of the techniques through which landscapes are flattened into such a surface of not only inscription of data, but also images in movement. Here,  the speculative is not some sort of a radically distinguished practice that stands out as unique aberration but increasingly the modus operandi and the new normal of things  (Bratton 2016, 2017). What’s interesting is that it spreads out to a variety of fields: the image becomes a speculative one, with interesting implications how we start to think of video; it is also a financial one, as such data-feed mechanisms are also part of what Cubitt describes as one of the forms of geomedia; and it is about landscapes, as they are part of the longer lineage of how we read them as informational signs.

It’s here that the expanded image of a landscape is also embedded in a machine learning environment which also feed as part of financial environments. There are multiple ways how the ecology of images in machine learning works with time – the form of moving image that is the timelapse is also faced with the temporal image of predictions. The technical basis of digital video becomes one reference point for where to start unfolding the other sides of AI as machine learning: this is post-digital culture also in this sense, where not only images of earth surfaces change in view of the data analytics, but the aesthetic contexts of analysis – namely, moving image and video that feed forward (cf. Hansen).


[Image from Abelardo Gil-Fournier’s workshop materials].

Narratives of a Near Future: Air

February 13, 2018 Leave a comment

In December 2017, I gave one of the invited talks at the Geneva art school, HEAD. Under the main rubric of Narratives of Near Future, we were invited to address the Anthropocene. Mousse magazine wrote a review of the event and m y talk on air (and featuring a bit of Talking Heads) is now online and found here: