@tillmannohm explores the intersection of art curation and network science. Embracing a shift towards networked thinking in curatorial practices, the project utilized network analysis and graph algorithms to navigate digital collections, creating an exhibition named KUNST(re_public). While the exhibition demonstrated the potential of algorithmic design, it highlighted the need for a human curator's signature. #ArtCuration #AlgorithmicExhibition #NetworkScience

Mastodon friends, there are still places left for our panel event on high dimensional cinema next week @kingsdh What is high dimensional cinema, you ask? My cringey synthetic pixar-like doppelganger below can explain. Register here: https://www.eventbrite.co.uk/e/high-dimensional-cinema-tickets-652127018467
#cinema #creative #ai #culturalanalytics #event #london

"Compression ensembles quantify aesthetic complexity and the evolution of visual art" now out in #SpringerOpen EPJ Data Science with @schichmax Sebastian Ahnert @mcanet @tillmannohm
🔓https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00397-3.pdf

🖥 Demo: https://collection-space-navigator.github.io/CSN

📄 Paper (preprint): https://arxiv.org/abs/2305.06809

💾 Code: https://github.com/Collection-Space-Navigator/CSN

🌐 Website: https://collection-space-navigator.github.io

We are doing a conference! If you work with #cultural #text #linguistic #media #literature #film #art #audiovisual #DH etc data, take a look! Bonus: Tallinn Christmas market, northern lights (maybe) and 4 free practical skills workshops (yes incl R!) on the pre-conf day.

#CUDAN2023
The Cultural Data Analytics Conference 2023
❄️December 13-16, 2023❄️
Tallinn, Estonia
Abstract submissions by July 24: cudan.tlu.ee/conference

@janeadams happy to hear :) Indeed, art collections are just one of many use cases for our tool. For example, the #StableDiffusion demo (https://collection-space-navigator.github.io/CSN/?dataset=Stable+Diffusion&projection=PCA) just gives an impression of how this could be useful for understanding the meaning space of large #AI models. Looking forward to see how it will be used!

Ahh I've been so excited for this paper to come out for ages!! No affiliation, just think it's super cool:

"Collection Space Navigator" for exploring projections of visual art collections

Honestly, when I first saw this, it wasn't the art applications that intrigued me so much as the value it offers for understanding 'slices' through high-dimensional space.

Demo: https://collection-space-navigator.github.io/CSN/

Website: https://collection-space-navigator.github.io/

#machinelearning #dimensionalityreduction #arts #datavisualization

Collection Space Navigator: a powerful tool to explore and curate large collections of visual digital artifacts.
With configurable multidimensional filters and two-dimensional projections, users can easily analyze and understand complex data. Try out the functional showcase demo using classical Western art and see how the CSN can enhance your research: https://collection-space-navigator.github.io/

#datavisualization #digitization #opensource #digitalarthistory #datascience #dataviz

Thank you @chavezheras, looking forward to hear your opinion!

Introducing the Collection Space Navigator (CSN) – An Interactive Visualization Interface for Multidimensional Datasets

A browser-based tool that enables the exploration and curation of digital collections in the multidimensional space.

🖥 Demo: https://collection-space-navigator.github.io/CSN

📄 Paper (preprint): https://arxiv.org/abs/2305.06809

💾 Code: https://github.com/Collection-Space-Navigator/CSN

🌐 Website: https://collection-space-navigator.github.io

developed at CUDAN, Tallinn University by @tillmannohm, Mar Canet Sola, @andreskarjus and @schichmax

Read about our embedding technique:
https://arxiv.org/abs/2205.10271

Stay tuned for the Collection Space Navigator release and publication.

* attributed to George Box
#CollectionSpaceNavigator #CSN #curation #museum #visualization #collections #ai #wikiart #digitalhumanities #arthistory #UMAP #tSNE #research #complexity #deeplearning #embeddings #compression #science #dataanalytics #dataanalysis #aesthetics #curating #computervision

3/3

However, embedding the objects in a multi-dimensional vector space, and eventually reducing the dimensionality to 2 or 3 dimensions, can provide valuable insights into the patterns and similarities within these collections.

The figure below shows different projections of the high-dimensional embedding space generated by our Collection Space Navigator, a multidisciplinary research project at CUDAN, Tallinn University with Mar Canet Sola, @andreskarjus and @schichmax. 2/3

"All models are wrong, but some are useful"* – this aphorism applies not only to statistical models, but also to the visualization of complex systems. The "meaning space" of large visual collections (as shown below with the 27k public domain subset of WikiArt paintings) is hard to comprehend and even harder to mediate. 1/3

Do you know someone doing research on Gerhard Richter‘s oeuvre? Or an art historian who would like to? Got some opportunity here to collaborate. #GerhardRichter #ArtHistory #academia #ArtCriticism #VisualArt #Curator #ArtCollector #CulturalHeritage #PhD

Diffusion models should just be seen as latent space search engines for existing and non-existing images and get the same legal status as Google when it comes to crawling training data.

That way it's up to the models' users to make sure their results do not violate any IP.

Had so much fun at “Art & Algorithms” Conference in Aachen. Great talks by Fabian Offert, Roland Meyer, Eva Cetinić, Dominik Bönisch, Vincent Christlein, Katrin Glinka, Gaia Tedone and Geoff Cox (last slide 👇) @Bildoperationen #curation #museums #digitalhumanities #algorithm #computerscience #culturaldata #art

Another design consideration re: Mastodon is that it works well for ephemeral asynchronous communications, but for many reasons should not be counted on as an archival resource. Media attachments are periodically purged and may not be available after a week, or a month, etc. While some servers may try to preserve content forever, this may be costly and unsustainable. Creators, researchers should treat this as an ephemeral resource and make provisions for self-archiving anything important.

I keep seeing people say Mastodon is nothing like Twitter. And they’re right.

Mastodon is an echo of the old internet, it’s decentralised, chaotic. What you get depends on your sysadmin. You can’t search, everything has to be shared to you by a human. Networks split apart and rejoin. What you see is your unique connection to it.

Is this good? Maybe. But for me that’s the internet I grew up with. No algorithms, no targeted adverts, just human interaction, and it was glorious.

Setting up a server for federated blogging from ARCU. Will finally free the bot 🤖