Category Archives: Open Knowledge

Quiet reflections on lab cultures

I have been following the feministlabs hashtag on Twitter to watch the What is a Feminist Lab? symposium. Rich would be an understatement so far from what I have seen and it is still going… The Civic Laboratory for Environmental Action Research (CLEAR) lab linked to their publication on author order, Equity in Author Order, […]

New models in the news feed algorithm?

Facebook announced changes to the News Feed yesterday, Remove, Reduce, Inform: New Steps to Manage Problematic Content, to enhance their “Remove, Reduce, Inform” strategy. The Facebook strategy appears to be adding more buttons with information to posts and images and tackling groups. I find the former part interesting as the platform appears to be struggling […]

Learning to say no

At the end of last year, I went through a period of saying yes to things. Endless things and exciting events. All the things. In theory, it created a small writing pipeline that would build towards a future chapter. Then I got acceptances and the deadlines started arriving. Bear in mind that I was doing […]

eLife announce a reproducible article

Post almost as a bookmark, executable documents have been at the back of my mind for a little bit. Probably since WSSPE4. eLife have written a blog post, “Introducing eLife’s first computationally reproducible article“, about their new Reproducible Document Stack (RDS) that I found intriguing and thought provoking. It is sparking many thoughts, some of […]

Musings on GPT2 and think about culture

The Guardian had an interesting story, ‘New AI fake text generator maybe too dangerous to release‘, about OpenAI’s GPT2 algorithm. I spent some of today watching social media streams linking to the paper. I do find it intriguing that some of this relies heavily on training on large amounts of data, some 40GB in size, […]

Reducing how we feel?

Intriguing read on the nature of emotions and machine learning, Silicon Valley Thinks Everyone Feels the Same Six Emotions. The sub-heading says much but I do think that there are critical questions about how we interact with these machines to create meaning but how long before we react in the same way as the attention economy?

Travelling to the Orpheus

Having posted on recent travels, I am glad to write that I have had a recent acceptance. I am going to the Simulation and Computer Experimentation in Music and Sound Art at the Orpheus Institute in Ghent in March. The programme is forthcoming but I am excited to go there and talk.

Travels

January is being a busy month. I went to the Digital Methods Institute Winter School in Amsterdam and did some work on the ALEX (Algorithms Exposed) strand using the Facebook Tracking Exposed tool. I may write more once my part of the report is written. This week was partially spent at the Machine Feeling workshop. […]

Science or digital culture?

I have been following a conversation on Twitter following a New York Times opinion piece about humanism: https://www.nytimes.com/2018/08/08/opinion/oh-the-humanities.html I agree with Douthat that anti-scientific sentiment in the humanities has more in common than it wants to admit with Christian humanism (and w Leavis, for that matter). I just don’t think that’s the path forward. I […]

Social Reading

There is an interesting Twitter thread about the upcoming Trump / Putin summit in Helsinki. Leah McElrath has picked up one of Trump’s tweets and is using what appears to be a hybrid methodology to read it. I am still deciphering it in my head and unpicking the various parts but some of this is […]