Network Institute retweeted
New preprint: we evaluated LLMs in a 3-party Turing test (participants speak to a human & AI simultaneously and decide which is which).
GPT-4.5 (when prompted to adopt a humanlike persona) was judged to be the human 73% of the time, suggesting it passes the Turing test (🧵)
Network Institute retweeted
All languages covey information at a similar rate when spoken (39bits/s).
Languages that are spoken faster have less information density per syllable!
One of the coolest results in linguistics.
Network Institute retweeted
Proud that our PhD candidate @Saoud_Albusaidi got his first journal paper about the authenticity of CSR initiative during covid accepted in the BE:ER journal. Congrats, Saud! #csr
I am glad to share that my 1st paper from my PhD work will be published in @BEER_Wiley (Business Ethis, the Environment & Responsibility). Thanks to my coauthors @tyskevdb
@Kees_Boersma
linkedin.com/posts/saud-al-b…
#CSR #Authenticity #Social_media #Business_ethics #Covid_19 #PhD
Network Institute retweeted
During Data Horror Stories we will share stories that highlight "the dark side of research". Would you like to share a story with the wider community of VU? We would love to hear from you! Use of our google form to describe what happened.
docs.google.com/forms/d/e/1F…
Network Institute retweeted
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
Network Institute retweeted
⚡️Just one week until our AI in Newsrooms workshop!
Register by this Wednesday, 9th— limited spots left!! forms.gle/CjZzsDJ9e3ypP6od9
@networkinstvu @tomasdoddsr @campodipace @TheresaJSeipp #GenerativeAI
Network Institute retweeted
Starting a research project? Here is a one-page tool to help you plan & develop your research idea
[Source: @bconnellyau]
Network Institute retweeted
PhD students — Do these 10 things in the first year of your PhD.
With this, 90% of your PhD problems will disappear.
𝟏. 𝐍𝐚𝐫𝐫𝐨𝐰 𝐝𝐨𝐰𝐧 𝐲𝐨𝐮𝐫 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐭𝐨𝐩𝐢𝐜: Many PhD students struggle to narrow down their research topic to a concrete research gap. Learn how to perform a gap analysis. Read more secondary studies. Make sure that you don't end up doing something that already exists.
𝟐. 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐚 𝐠𝐨𝐨𝐝 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐫𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐬𝐡𝐢𝐩 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐬𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐨𝐫𝐬: Understand how your supervisors work. If they expect something in a written form in each meeting, make sure to follow accordingly. Learn the best communication ways and clarify expectations.
𝟑. 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐜𝐨𝐫𝐞 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐬𝐤𝐢𝐥𝐥𝐬 𝐚𝐧𝐝 𝐡𝐚𝐛𝐢𝐭𝐬: Certain skills and habits are quite common across all types of research. For example, how to read a research paper, how to be consistent, and how to do a literature review. Develop them as early as possible.
𝟒. 𝐏𝐮𝐛𝐥𝐢𝐬𝐡 𝐨𝐫 𝐚𝐭 𝐥𝐞𝐚𝐬𝐭 𝐬𝐮𝐛𝐦𝐢𝐭 𝐨𝐧𝐞 𝐩𝐚𝐩𝐞𝐫: This will really help you in the confirmation of your candidature if you have a paper published or at least submitted. Try to publish as soon as possible. If it happens, it will give a big boost to your confidence level.
𝟓. 𝐌𝐚𝐤𝐞 𝐚 𝐩𝐥𝐚𝐧 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐦𝐞𝐧𝐭𝐚𝐥 𝐚𝐧𝐝 𝐩𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐡𝐞𝐚𝐥𝐭𝐡: The early you understand the importance of your mental and physical health in your PhD, the better it is for you. Don't think that if you never exercised before, you don't need it in your PhD either. You do need it.
𝟔. 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐤𝐞𝐲 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫𝐬, 𝐜𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬, 𝐚𝐧𝐝 𝐣𝐨𝐮𝐫𝐧𝐚𝐥𝐬: Once your gap research a matured level, start identifying and following the most relevant researchers, conferences, and journals. This will help to be updated and understand the expectations.
𝟕. 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐭𝐡𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 𝐲𝐨𝐮 𝐚𝐫𝐞 𝐥𝐚𝐜𝐤𝐢𝐧𝐠: Within 6 months or so into your PhD, start reflecting on what skills I am lacking. These skills could include networking, collaborations, presentation, and so on. Start developing them from there on.
𝟖. 𝐃𝐨 𝐧𝐨𝐭 𝐭𝐞𝐚𝐜𝐡 𝐭𝐨𝐨 𝐦𝐮𝐜𝐡: Some students take too much teaching load right away. Don't do it. It will impact your PhD progress. Once your PhD path is laid out, then you can teach in the later years.
𝟗. 𝐃𝐨 𝐧𝐨𝐭 𝐭𝐚𝐤𝐞 𝐢𝐭 𝐭𝐨𝐨 𝐞𝐚𝐬𝐲: Some students start in a very relaxed way - oh I have a lot of time. Start it with a full swing as later you might not be as energetic as you might be at the start. The first year is the most crucial year. Start it well and your life will be easy later.
𝟏𝟎. 𝐅𝐢𝐧𝐝 𝐝𝐢𝐫𝐞𝐜𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟: At the start, most of the PhD students are directionless - what to do, what's going on, days are passing by, and I am not doing anything. Learn how to find your way forward right from the start.
Anything you'd like to add?
Network Institute retweeted
VU Library will be offering a digital labjournal service for VU research labs: ELabNext.
elabnext.com/
If your lab is interested in using ELabNext, please contact the project lead Imke Limpens at [email protected] 🤓
Network Institute retweeted
How to write your first paper
I recommend this paper to all PhD beginners.
@PhDVoice @Labiofy #PhDposition #phdlife #PhD #postdoc @thepostdoctoral #chemtwitter
Network Institute retweeted
How can #Virtual #Museum experiences contribute to #Polyvocal mindsets? Our case study on colonial heritage is now published in JOCCH journal dl.acm.org/doi/10.1145/36781… @networkinstvu
Isabel Franke, Stefania Conte, @wcrawly @TiloHartmann, @victordeboer. @UserCentricDS @cultural_ai
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Awesome opportunity to work on Semantic Web / Knowledge Representation and Cultural Heritage with Martin Berger at @UniLeidenNews universiteitleiden.nl/vacatu…
Network Institute retweeted
THANK YOU. It means a lot.
I’ll publish a revised version as soon as the AI Act is finalized. In the meantime, here is the link to it: papers.ssrn.com/sol3/papers.….
Network Institute retweeted
De nieuwe bestuursleden zijn bekend! Per april begint Eddie Brummelman als nieuwe voorzitter. @L_deJonge wordt de nieuwe vicevoorzitter. Ook beginnen @sanli en Else Starkenburg. Veel plezier en succes! dejongeakademie.nl/nieuws/26…
@UvA_Amsterdam @univgroningen @UniUtrecht
Network Institute retweeted
Opinion: Machine Learning will bridge the gap between what we now call "objective science" (mostly an empirically-backed understanding of isolated effects measurable constructs) and the world of "metaphysics/esotericism/spirituality". 1/2
Network Institute retweeted
8 February we once again organize a public @cultural_ai meeting in Leiden. Free to join (w/ registration)
📢We've got quite the line-up for you on 8 February: @jrglmn Sara Veldhoen @vera__pro Gertjan Filarski Fabio Mariani @AlamShoilee @and_nesterov + sneak peeks at upcoming projects in the #Cultural_AI space. More info & registration at: cultural-ai.nl/news/open-up-… #SpreadTheWord
Network Institute retweeted
In 2016, researchers at the University of Adelaide tested Kurt Vonnegut's theory that, "There’s no reason why the simple shapes of stories can’t be fed into computers."
They took the emotional arcs of 1300+ novels from Project Gutenberg, turned that into data, used modern tech to analyze the emotional arcs, and then identified 6 patterns seen over and over again in western storytelling.
Here they are:
1. Rags to Riches (rise)
Your classic underdog tale. A humble, hardworking peasant climbs the mountain to pull the sword from the stone.
• Rocky
• King Arthur
• The Pursuit of Happiness
2. Riches to Rags (fall)
Maybe the saddest story of them all. A journey from the highest of highs to the lowest of lows.
• King Lear
• Citizen Kane
• Scarlet Letter
3. Man in a Hole (fall then rise)
A character’s doing fine, gets herself into a huge problem, but figures out how to overcome it. They often end up better than they started.
“You see this story again and again,” Vonnegut says. “People love it, and it is not copyrighted.”
• The Martian
• The Hunger Games
• Shawshank Redemption
4. Icarus (rise then fall)
The hero goes on a meteoric rise up New York (or some other) society, calls everyone “old sport,” and throws the wildest parties in town. Then reality sets in, and he realizes he’s too close to the sun.
• Macbeth
• Great Gatsby
• Death of a Salesman
5. Cinderella (rise then fall then rise)
I’ll leave this description to Vonnegut:
“We’re gonna start way down here. Worse than that, who is so low? It’s a little girl… the shoe fits, and she achieves off-scale happiness.”
• Red Rising
• Slumdog Millionaire
• The Count of Monte Cristo
This is my personal favorite.
6. Oedipus (fall then rise then fall)
Up until the ~70% mark of the story it looks like things are sunshine and rainbows. Walter White goes from high school teacher to king of the drug lords, if you will. Then all goes wrong. The original fall is often not their doing while the final fall is.
• Hamlet
• Gone Girl
• Breaking Bad
My 3 takeaways:
1. Rags to Riches, Oedipus, and Cinderella rank as the three most popular with consumers. AKA, those books sold the most copies.
2. When you think through a story, give it an emotional shape. Literally draw it.
X axis: Time
Y axis: Ill fortune to good fortune
You might be surprised how much it helps you craft your plot (I was shocked).
3. Vonnegut was a damn genius.
Network Institute retweeted
🤩My monograph Human Freedom in the Age of AI will be out in March 2024! 🥳🥳🥳 #aiethics #aipolitics AI at #work, #meaningfulhumancontrol, AI and #democracy. #Philosophy + #design approaches. More info: routledge.com/Human-Freedom-…
Get in touch if you want to know more!

































