맨날 교수가 학생을 가르치는게 아니라 학생이 교수를 가르쳐야한다고 말을 하긴 했지만
실제로 교수가 지식적인 측면에서 직접적으로 지도? 전수해줄 수 있는? 해야하는? 능력이 하나 있음.
바로 실험 설계 능력.
어떠한 주장을 하고 싶을때, 그것을 뒷받침 할 수 있는 좋은 실험을 설계하는 비법.
I'm giving an online talk on our recent paper on LLMs' impact on scientific production next Monday (Jan 27, 7pm EST) / Tuesday (Jan 28, 9am KST/JST). Free registration from https://t.co/trPp0gOAoA !
*Recruiting a PhD student*
Interested in how science and innovation happens, and how we can make discoveries faster!? Interested in computational social science?
Let's make progress on this together at @UMSI, one of the world's best places for these topics!
Dec 1 deadline
📌Save the Date!
The flagship conference of the Network Science Society - 𝗡𝗲𝘁𝗦𝗰𝗶 𝟮𝟬𝟮𝟲 - is coming to Northeastern University’s Network Science Institute, 𝗝𝘂𝗻𝗲 𝟭-𝟱, 𝟮𝟬𝟮𝟲.
Registration opens soon!
🔗 https://t.co/LH8ikP4bTj
If you know a 🚨 Scholar at Risk 🚨 please share!
I am delighted to share that applications are now open for the MAXMINDS mentoring program. This initiative supports researchers who have been displaced, or are at risk of displacement, due to war or natural disasters, and who currently have limited access to resources and institutional support.
It is open to scholars at all career stages and offers tailored mentoring – from guidance on applications for positions, fellowships, or guest programs within the Max Planck Society, to support based on the research interests of both mentors and mentees. Mentoring will last at least three months, with the option to extend to six.
Apply here: https://t.co/pK19YQF1dh
The deadline to apply is September 15.
Please share this opportunity with researchers who may benefit. Those interested in joining as mentors are warmly invited to contact us at [email protected] for more information.
How does local congestion spread and dissipate in real-world urban road networks? How do macroscopic functional states of road networks emerge from such microscopic congestion propagation and dissipation? Check out our new preprint https://t.co/sFz00coCXy
In this Article, Lee et al. fine tune large language models on debate data to create belief embeddings that capture the nuanced relationship between a wide range of topics and reveal how people form new opinions.
https://t.co/bzzmyOXaYt
2 years & 3 months of hard work of @ByunghweeLee from project start to publication – so incredibly proud! with @haewoon@RachithAiyappa and YY!!
Read the paper: https://t.co/sQcKes8Zje
(Free-to-read link): https://t.co/zn5EbdRfZD
🎉 Huge news! Our paper 'A semantic embedding space based on large language models for modelling human beliefs' is finally out in @NatureHumBehav! This research uses LLMs to build a 'map' of human beliefs and reveals why people adopt certain beliefs through relative dissonance.
Our first @NatureHumBehav article! It took 8 months for the acceptance (Submitted: August 2024 / Accepted: April 2025), and the responses to reviewers was book-thick text. :) But finally it's out and we are so happy! 🥂 Read it here: https://t.co/sUmmwuoyh5
Introducing soarXiv ✈️, the most beautiful way to explore human knowledge
Take any paper's URL and replace arxiv with soarxiv (show in video) to teleport to its place in the universe
I've embedded all 2.8M papers up until April 2025
Try it at: soarxiv dot org