Did you notice that #oceanplastic research is more prominent in the media than research on #ocean #climatechange? Why is this the case?
This question sparked the first publication of Aike Vonk's PhD project with her advisors Erik van Sebille and Mark Bos - and it was my pleasure to join their team.
Our study shows that research organisations communicate about ocean plastic research with more elaborate framing, compared to ocean climate change research. Press releases on ocean plastic research more often contextualized the research by addressing problems, identifying causes, proposing solutions, and providing moral evaluations.
In addition, we found that narratives were mainly employed to humanize science and portray scientists, rather than to emphasize the social dimensions of ocean issues.
The study appeared today in the Journal of Science Communication. If you are interested in this project or want to know more, you can always contact Aike by e-mail (a.n.vonk@uu.nl).
@haritulsidas Neither the linked article, nor the paper mention anything about ML or an 80% prediction. Where did you get those numbers? This only has real implications for cryptography if cryptographic systems rely on physical coin tosses to generate random numbers.
@solalnathan Or a fancy way to perform data augmentation?
@metin@mastodon.art I believe that you should be able, at least in theory, to generate your artwork based on its description using the final trained model. 🤔 By description I mean either the text description you add while uploading the work or a an actual natural language description of the piece (or a combination of the two). If you get your artwork as output, that might be a good signal. But that depends entirely on the UX they will build around the model and it is not scaleable 😔
Exploring ways of applying machine learning to address climate change.
Background in computer science and machine learning + team management and leadership.