10 episodes

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.

Too Lazy to Read the Paper Sune Lehmann

    • Science
    • 5.0 • 4 Ratings

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.

    Too Lazy to Read the Book: Episode 10 with Dashun Wang

    Too Lazy to Read the Book: Episode 10 with Dashun Wang

    It’s Episode 10 and season finale time. But not to worry, #LazyPod will be back after the summer break.

    Today on the pod is Dashun Wang! 

    Dashun is an Associate Professor and the Founding Director of the Center for Science of Science and Innovation at Northwestern University. 

    He works on the Science of Science, turning the scientific method upon ourselves, using amazing new datasets and tools from complexity sciences and artificial intelligence.

    His research has been published repeatedly in journals like Nature and Science, and has been featured in virtually all major global media outlets. Dashun is a recipient of multiple awards for his research and teaching, including Young Investigator awards, Poets & Quants Best 40 Under 40 Professors, Junior Scientific Award from the Complex Systems Society, Thinkers50 Radar List, and more. 

    In this wide-ranging conversation, we talk about his life, career and his new book The Science of Science (1).

    # Timestamps
    [0:00:00] Sune’s Intro
    [0:01:43] Catching up with Dashun's whirlwind career
    [0:36:40] We get to talking about the book 

    # References
    (1) https://www.cambridge.org/core/books/science-of-science/572A745A6F97B55A263F5E86225E3F70

    # Credits
    The podcast has theme music by Waylon Thornton (and a little bit by me as well). WT's songs are "American Heart" and "Seven". Via freemusicarchive.org and licenced under CC BY-NC-SA. The podcast was funded in part by the Villum Foundation.

    • 1 hr 9 min
    Too Lazy to Read the Paper: Episode 9 with Marta Sales-Pardo and Roger Guimera

    Too Lazy to Read the Paper: Episode 9 with Marta Sales-Pardo and Roger Guimera

    Today on the pod is Marta Sales-Pardo & Roger Guimera.

    What a great talk. We could have gone on for hours. Peer review, power-laws, becoming scientists, Bayesian statistics, and much, much more.

    Marta and Roger study fundamental problems in all areas of science including natural, social and economic sciences. They have expertise in a broad set of tools from statistical physics, network science, statistics and computer science.

    Both were many years at Northwestern before starting a group at URV in Catalonia. They are authors of many classic papers in Network Science, lots of important work, e.g. on community detection. 

    We talk about their paper “A Bayesian machine scientist to aid in the solution of challenging scientific problems” (1). 

    # Timestamps
    [0:00:00] Sune’s Intro
    [0:01:08] Origin story and (much) more
    [0:44:42] We slowly get to the paper

    # References
    (1) https://advances.sciencemag.org/content/6/5/eaav6971


    # Credits
    The podcast has theme music by Waylon Thornton (and a little bit by me as well). WT's songs are "American Heart" and "Seven". Via freemusicarchive.org and licenced under CC BY-NC-SA. The podcast was funded in part by the Villum Foundation.

    • 1 hr 17 min
    Too Lazy to Read the Paper: Episode 8 with Martin Rosvall

    Too Lazy to Read the Paper: Episode 8 with Martin Rosvall

    Big talk on the pod today. My guest is Martin Rosvall. A network science legend. The creator of the InfoMap community detection algorithm (1).

    Martin’s group (2) studies information flows through social and biological systems to understand their inner workings. By simplifying myriad network interactions into maps of significant information flows, they aim to address research questions about how diseases spread, plants respond to stress, and life distributes itself on Earth.

    In today’s talk we talk about how a love for theory and not the subject matter of classical physics made Martin study information theory early on. We talk about serendipitously going to the Niels Bohr Institute and finding his postdoc advisor Carl Bergstrom on google. And in a big reveal - a LazyPod exclusive - we tell the story of how a grumpy reviewer and a TV star resulted in the name for the map equation. We wrap up talking about Martin’s yearly habit of taking young scientists into the Swedish wilderness.

    # Timestamps
    [0:00:00] Sune’s Intro
    [0:01:44] Origin story and more
    [0:38:12] The Saga of the Map Equation

    # References
    (1) https://www.mapequation.org
    (2) https://www.martinrosvall.com and https://icelab.se

    # Credits
    The podcast has theme music by Waylon Thornton (and a little bit by me as well). WT's songs are "American Heart" and "Seven". Via freemusicarchive.org and licenced under CC BY-NC-SA. The podcast was funded in part by the Villum Foundation. 

    • 1 hr 18 min
    Too Lazy to Read the Paper: Episode 7 with Alice Schwarze

    Too Lazy to Read the Paper: Episode 7 with Alice Schwarze

    Today on the Pod is Alice Schwarze. We talk about Alice’s paper "Motifs for processes on networks". Super exciting work! Before we get to the paper, we also talk about memes, how to get into Oxford, and being a young researcher today. 

    Alice is a postdoctoral research scholar at the Department of Biology at the University of Washington. Her research combines ideas and methods from applied mathematics and network science to study complex systems in biology and neuroscience.

    She holds a DPhil (PhD) in Mathematics from the University of Oxford, a MSc in theoretical physics and a BSc in physics from Technische Universitaet Berlin. She is committed to supporting students from underrepresented groups in academia. She convenes the seminar series on "Women in Network Science”.

    The sound is not ideal in this one, but it get’s much better around the 17 minute mark as we call in a dedicated external recorder.

    #Timestamps
    [0:00:00] Intro to today's episode
    [0:01:36] The origin story + being a young researcher today.
    [0:25:44] Now we talk about the paper

    # Credits
    The podcast has theme music by Waylon Thornton. Songs are "American Heart" and "Seven". Via freemusicarchive.org and licenced under CC BY-NC-SA. The podcast was funded in part by the Villum Foundation. 

    # References
    (1) https://aliceschwarze.gitlab.io
    (2) https://arxiv.org/abs/2007.07447

    • 1 hr 2 min
    Too Lazy to Read the Paper: Episode 6 with Gourab Ghoshal and Petter Holme

    Too Lazy to Read the Paper: Episode 6 with Gourab Ghoshal and Petter Holme

    I’ve got a treat for you today. Today’s author’s are Gourab Ghoshal and Petter Holme, who are here to talk about a classic paper. A paper they co-authored and published in PRL in 2006. The paper has a fantastic title, which is basically also a mini abstract. It is called “Dynamics of Networking Agents Competing for High Centrality and Low Degree” (1). In the podcast we get into it!

    Gourab is at at Rochester University, where he is an Associate Professor of Physics and Astronomy with joint appointments at the departments of Computer Science and Mathematics. He works in the field of Complex Systems. His research interests are in the theory and applications of Complex Networks as well as Non-equilibrium Statistical Physics, Game theory, Econophysics, Dynamical Systems and the Origins of Life.

    Petter is Swedish scientist living and working in Japan, where he is a Specially Appointed Professor at the Institute of Innovative Research at the Tokyo Institute of Technology. His research focuses on large-scale structures in society, technology and biology; mostly trying to understand them as networks.

    # Timestamps
    [0:00:00] Intro and friendly banter
    [0:04:00] Gourab's dream of becoming Richard Feynman
    [0:10:10] Petter becomes a network scientist by accident
    [0:17:45] We dive into the paper! (+ discuss complex systems in general)

    # References
    (1) https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.96.098701

    • 1 hr 11 min
    Too Lazy to Read the Paper: Episode 5 with Renaud Lambiotte

    Too Lazy to Read the Paper: Episode 5 with Renaud Lambiotte

    Today’s guest is Renaud Lambiotte 

    Renaud is an associate professor at the Mathematical Institute of Oxford University, investigating processes taking place on large networks.

    In the episode, we talk about his story in science, the joy and value of exploring without a particular purpose, doing a PhD without publishing any papers, … and how reading classical texts by Boltzman and others early on has shaped the work Renaud does even to this day.

    When we get to the paper, we talk about Renaud’s recent work “Variance and covariance of distributions on graphs” (1) with co-authors Karel Devriendt and Samuel Martin-Gutierrez.

    #Timestamps
    [0:00:00] Intro to today's episode
    [0:00:59] Friendly banter, and being in awe of Mark Newman
    [0:07:00] Renaud's story
    [0:28:38] The Louvain Algorithm t-shirt
    [0:34:00] Now to discuss the paper!

    # Credits
    The podcast has theme music by Waylon Thornton. Songs are "American Heart" and "Seven". Via freemusicarchive.org and licenced under CC BY-NC-SA. The podcast was funded in part by the Villum Foundation. 

    # References
    (1) https://arxiv.org/abs/2008.09155

    • 1 hr 15 min

Customer Reviews

5.0 out of 5
4 Ratings

4 Ratings

Manny CR ,

Definitively not lazy enough to not listen!

Congrats Sune and all the awesome interviewees!

Top Podcasts In Science