Mood
| Webpage | https://ronentk.github.io/ |
| https://twitter.com/rtk254 |
Ronen Tamari
@ronent
- 235 Followers
- 461 Following
- 139 Posts
Researcher and entrepreneur | building collective sensemaking systems for science @cosmik_network | Interested in prosocial tech, artificial/natural/collective intelligence and all their combinations.
This feels like Jung's "Until you make the subconscious conscious, it will direct your life and you will call it fate." but on science.
Source: https://mitpress.mit.edu/9780262553032/the-blind-spot/
(very excited to read!)
have achieved a degenerate reversal of devaluing everything except personal gain. When will the chicken farmers rescue us from the neoliberal economists?
Selectively breeding the most *individually* productive hens leads to lower overall egg production, so chicken farmers have cleverly learned to shift selection to the level of the *group*. Economists, on the other hand >
Loving this idea. Learning to "out-cooperate the competition" will spark massive and transformative systems change.
Fractal Software for Fractal Futures | Notion
Most digital systems are engineered. Some, though, are discovered, because they are based on the laws of the physical world, on some established structure in our brain, or on our social structures. One such case seems to be Notion, a popular software that keeps growing its user base. Notion can be used for personal note-taking, small and large-scale project management, no-code development, and content publication. Some people even use it to keep ADHD under control. It’s a productivity tool, a knowledge base tool, and a publication platform. Once a user moves past its beginner learning curve, albeit steep, Notion proves to be a powerful instrument, with most of its users adopting it to fit their work needs and even in their personal life.
The classic “Information wants to be free” (Stewart Brand, 1984)
needs updating in our age of exponential information explosion. Access to information ≠ ability to *make sense* of information
Next level: “Information wants to be FAIR” 🚀
Also relevant for discussions about science social media as critical scientific infrastructure @UlrikeHahn @brembs @jonny @bonfire indieweb.social @nanopub
" TikTokification of academia"
Position: AI/ML Influencers Have a Place in the Academic Process
As the number of accepted papers at AI and ML conferences reaches into the thousands, it has become unclear how researchers access and read research publications. In this paper, we investigate the role of social media influencers in enhancing the visibility of machine learning research, particularly the citation counts of papers they share. We have compiled a comprehensive dataset of over 8,000 papers, spanning tweets from December 2018 to October 2023, alongside controls precisely matched by 9 key covariates. Our statistical and causal inference analysis reveals a significant increase in citations for papers endorsed by these influencers, with median citation counts 2-3 times higher than those of the control group. Additionally, the study delves into the geographic, gender, and institutional diversity of highlighted authors. Given these findings, we advocate for a responsible approach to curation, encouraging influencers to uphold the journalistic standard that includes showcasing diverse research topics, authors, and institutions.
(1) using NLP to convert science social media posts to nanopublications. Semantics + radical interoperability means nanopublications can power many downstream services -> 15/
As shown in the Venn diagram, our approach aims to draw on the best of social media networks in terms of UX, feedback and reach, while addressing their limitations of fragmented data and restricted publishing expressivity. 12/
Enter Sensemaking Networks! We envision Sensemaking Networks as decentralized social networks where posts are nanopublications, and data is open and FAIR. 11/
