Algolit

Algolit is a project of Constant, a workgroup around i-literature, free code and texts. The group was initiated in 2012 by Catherine Lenoble and An Mertens.
Since then, the algoliterarian space has been created and recreated together with: Nicolas Malevé, Olivier Heinry, Stéphanie Villayphiou, Brendan Howell, Gijs De Heij, Christina Cochior, Hans Lammerant, Manetta Berends, Mia Melvaer, Olivier Perriquet.

The group meets regularly following the principles of the Oulipo-meetings: they share work and thoughts and create together, with or without the company of an invitee. Algolit is open to anyone interested in exchanging practises around digital ways of reading and writing.
Recent topics and announcements: https://algolit.net
Feel free to sign up for the mailinglist: https://boucan.domainepublic.net/mailman3/postorius/lists/algolit.lists.constantvzw.org/


Related events

Algoliterary Lectures

2017
In the framework of Algoliterary Encounters, we will be hosting two lectures on Friday 10 November. Generative Models and the Digital Humanities: Towards Synthetic Literature, by Mike Kestemont (...)

Algoliterary Encounter

2017
In the framework of Saison Numérique the Maison du Livre opens its space for Algolit during three days in a row. The group presents lectures, workshops and a small exhibition about the narrative (...)

Narrative perspective of Neural Networks #8

2017
Algolit explores neural networks to see how their process can be made legible, visible, understandable. We follow up on the Deep Learning and Natural Language Processing course from Stanford (...)

Narrative perspective of Neural Networks #7

2017
Algolit explores neural networks to see how their process can be made legible, visible, understandable. We follow up on the Deep Learning and Natural Language Processing course from Stanford (...)

Narrative perspective of Neural Networks #6

2017
Algolit explores neural networks to see how their process can be made legible, visible, understandable. We follow up on the Deep Learning and Natural Language Processing course from Stanford (...)

Narrative perspective of Neural Networks #5

2017
Algolit continues to explore neural networks to see how their process can be made legible, visible, understandable. We will follow up on the Deep Learning and Natural Language Processing course (...)

Narrative perspective of Neural Networks #4

2017
Algolit continues to explore neural networks to see how their process can be made legible, visible, understandable. We will follow up on the Deep Learning and Natural Language Processing course (...)

Narrative perspective of Neural Networks #3

2017
Algolit continues to explore neural networks to see how their process can be made legible, visible, understandable. Participants choose how to get into the topic, through reading, tutorials, (...)

Narrative perspective of Neural Networks #2

2016
Algolit organises a second dive in neural networks to see how their process can be made legible, visible, understandable. Amongst others, we will put a neural-net dedicated computer to work! (...)

Narrative perspective of Neural Networks #1

2016
Algolit organises a first dive in neural networks to see how their process can be made legible, visible, understandable. Amongst others, we’ll build a neural-net dedicated computer / XMPP bots. (...)