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Too Lazy to Read the Paper: Daily Summaries Delivered
by Sune Lehmann
In this podcast the author explains a paper to me, your host, Professor Sune Lehmann (https://sunelehmann.com). The participants are authors of a paper in network science or data science. Sometimes I feature a group of co-authors! The intended audience is PhD students, PostDocs and other scientists. The idea is to start with a bit about the paper's author, the idea for the paper. Then talk about the research itself. And we’ll end by gossiping about the reviewing process, etc. The whole thing is based on the idea that papers are so formal. And that when two people talk to each other informally, it’s often more fun – and tends to get ideas across more effectively.
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- 3 days ago1h 16m
Too Lazy to use Claude Code for Research (with YY Ahn)
In this video I talk to YY Ahn about using Claude Code for Research. Normally in Too Lazy to Read the Paper, somebody explains a paper to me, because reading papers is hard and talking to people is fun and natural. And if someone's too lazy to read the paper, they're definitely too lazy to read the manual. So today there's a new format. There's no paper. Instead there's a thing we're all talking about in the shadows – agentic coding, Claude Code. The whole business...
- Nov 20, 20221h 24m
David Lazer - The Extremely Early Mover
I am super excited to have David Lazer (1,2) on the pod today. David Lazer needs no introduction. But here at lazypod we’re polite, so he get’s one anyway. David Lazer is a University Distinguished Professor of Political Science and Computer Sciences, Northeastern University, and Co-Director, NULab for Texts, Maps, and Networks. Prior to coming to Northeastern University, he was on the faculty at the Harvard Kennedy School (1998-2009). In 2019, he was elected a fellow to the Nationa...
- Oct 6, 20221h 42m
Brennan Klein - Teleology, Perception, Complex Systems
Holy cow, it was great to chat with Brennan Klein (1). It’s another renaissance person on the Pod. In his research, Brennan attempts to understand how complex systems are able to represent, predict, and intervene on their surroundings across a number of different scales—all in ways that appear to maintain the statistical boundary between them and their environment. He uses this approach to study a range of phenomena from decision making, to experimental design, to causation and emergence ...
- Sep 18, 20221h 19m
Erik Hoel - Letting the Creative Rivers Run Free
Today we’re in for something a little bit different. Our guest is “Erik Hoel”, who’s not only a scientist, but also an exciting writer of books and essays. I read his fantastic first book “The Revelations” (1,2) last winters … and when I visited Boston this summer, I took a chance and sought him out. He graciously agreed to chat. For this interview I traveled out to Erik’s house that’s placed down along a long gravel road and surrounded by lakes and trees on Cape Cod. And we chatted in his f...
- Aug 30, 20221h 51m
Laura Alessandretti - The Deep Power of Programming
Today on the Pod we are lucky to have Laura Alessandretti (1) visiting us. Laura is an Assistant Professor in Modelling of Human Dynamics at the Technical University of Denmark. She is interested in Computational Social Science, Data Science and Complex Networks. She studies aspects of human behavior combining analysis of large-scale datasets, analytical models and numerical simulations. Previously, she was a PostDoctoral researcher at the Copenhagen Centre for Social Data Science and at D...
- Aug 20, 20221h 4m
Esteban Moro - Collaborating with the Competition
Hey Everyone, Today, we have another amazing guest. It’s Esteban Moro (1)! Esteban is a researcher, data scientist and professor at Universidad Carlos III (UC3M) in Spain and Visiting Professor at MIT Media Lab and MIT Connection Science at IDSS. Previously, I was researcher at University of Oxford. He is a native of Salamanca (Spain) … we talk about that … and hold a PhD in Physics. Esteban’s work lies in the intersection of big data and computational social science, with special atten...
- Aug 14, 20221h 17m
Baruch Barzel - Doesn’t Need an Agent!
Today’s guest on the pod is Baruch Barzel (1). Baruch has a wikipedia page (2), which summarizes his work very nicely. It says that he’s known for his work in the research of complex and stochastic systems, specifically on stochastic moment equations and universality in network dynamics. Then it says: “Also a public lecturer in Israel, and presents a weekly corner on Jewish thought in Israel National Radio.” And you’ll hear it when we talk! He’s a born communicator, a great interview. I wo...
- Aug 6, 20221h 15m
Piotr Sapiezynski - Explaining the Filter Bubble!
Today’s guest on the pod is Piotr Sapiezynski! Piotr (1) is an Associate Research Scientist at Northeastern University in Boston, MA. My interview with Piotr is part two of my three part series on of algorithms & filter bubbles. And today’s is a great conversation, not to be missed. Piotr really explain the logic and strong evidence that he (& a team of collaborators) has discovered around filter bubbles. I already knew a lot of this, but my mind was still blown. The core of Piotr’...
About Too Lazy to Read the Paper
In this podcast the author explains a paper to me, your host, Professor Sune Lehmann (https://sunelehmann.com). The participants are authors of a paper in network science or data science. Sometimes I feature a group of co-authors! The intended audience is PhD students, PostDocs and other scientists. The idea is to start with a bit about the paper's author, the idea for the paper. Then talk about the research itself. And we’ll end by gossiping about the reviewing process, etc. The whole thing is based on the idea that papers are so formal. And that when two people talk to each other informally, it’s often more fun – and tends to get ideas across more effectively.
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