Brennan Klein

@jkbren.bsky.social

Network scientist; director of the &-Lab at Northeastern University; data justice fellow at the Institute on Policing, Incarceration & Public Safety at Harvard University. brennanklein.com

I'm incredibly honored to be one of the inaugural winners of the Ctrl-Z award. The sequence of events preceding and following this retraction were harrowing (and are honestly still stressful), but I hope this will be an opportunity for more open dialogue about mistakes + self-retraction in science.

Retraction Watch@retractionwatch.com · yesterday

The Center for Scientific Integrity is proud to announce the inaugural winners of the 2026 Ctrl-Z Award. Named for the universal keyboard shortcut for “undo,” the Ctrl-Z Award this year honors @cetaceanneeded.bsky.social and @katelaskowski.bsky.social for choosing transparency over reputation.

From tiki-taka to "attacki-taka" (sorryy, cheesy) was the only way I could describe Spain's play under Luis de la Fuente. That, plus some Messi magic... great preview article for Sunday's ESP 🇪🇸 - 🇦🇷 ARG matchup, by @cesareor.bsky.social @nuglobalnews.bsky.social news.northeastern.edu/2026/07/16/s...

Spain versus Argentina: Team brilliance versus individual star power

Northeastern researchers examine each teams’ data ahead of the Spain vs Argentina World Cup final match on Sunday.

news.northeastern.edu

We've been doing a lot of stories with @nuglobalnews.bsky.social the last month, but this was one of the more fun/silly/interesting ones to work on: What, in the data, makes a soccer match "exciting"? (less soulless than it sounds, I promise!) news.northeastern.edu/2026/07/08/m...

What makes a soccer match exciting? There’s data for that

Most exciting World Cup matches get ranked by a new algorithm from Northeastern researcher Brennan Klein, based on stakes, drama and payoff.

news.northeastern.edu

NetSci2026 is only 2 days away! Join us Sunday, May 31, for two exciting pre-conference events: the Higher-Order Hackathon and Paper Unwind. We’re excited to celebrate the 20th anniversary of the NetSci conference with a week of inspiring science and community. Still time to register! netsci2026.com

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Before the conference begins, join us for 𝗣𝗮𝗽𝗲𝗿 𝗨𝗻𝘄𝗶𝗻𝗱: an informal evening on the stories behind research. Professor 𝗠𝗶𝗰𝗵𝗲𝗹𝗹𝗲 𝗚𝗶𝗿𝘃𝗮𝗻 will share the journey behind her landmark 2002 PNAS paper on community structure in networks. 📅 May 31 | 6 PM ✏️ Register: tinyurl.com/2e73wt46 🍕 Snacks included

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Our 𝘾𝙤𝙢𝙥𝙡𝙚𝙭𝙞𝙩𝙮 𝙎𝙥𝙚𝙖𝙠𝙚𝙧 𝙎𝙚𝙧𝙞𝙚𝙨 wraps with Prof. 𝗥𝗮𝗶𝘀𝘀𝗮 𝗗’𝗦𝗼𝘂𝘇𝗮. Join us to explore interdependent networks—from infrastructure to ecosystems—and how statistical physics reveals phase transitions, cascading failures & nonlinear dynamics shaping our world. Don’t miss it: tinyurl.com/ys8nkdpv

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📣Announcing the 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗦𝗽𝗲𝗮𝗸𝗲𝗿 𝗦𝗲𝗿𝗶𝗲𝘀 𝟮𝟬𝟮𝟲! Leading researchers in network science and complex systems will visit the 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗜𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗲 to share ideas and connect with our community. Stay tuned for more on the speakers & talks! @douglasguilbeault.bsky.social @jkbren.bsky.social

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📣 Announcing 𝗗𝗶𝗲𝗴𝗼 𝗚𝗮𝗿𝗹𝗮𝘀𝗰𝗵𝗲𝗹𝗹𝗶 as Invited Speaker at NetSci Conference 2026! Professor at the IMT School for Advanced Studies in Lucca & at Leiden University’s Lorentz Institute for Theoretical Physics, his research combines statistical physics, information theory, & random-graph modeling.

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We’re thrilled to welcome 𝗠𝗲𝗹𝗮𝗻𝗶𝗲 𝗪𝗲𝗯𝗲𝗿 as a School Speaker at NetSci Conference 2026! An Assistant Professor at Harvard, she leads the Geometric Machine Learning Group, developing efficient, theory-backed ML methods. Meet her & all the speakers 👉 www.netsci2026.com/speakers

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Another joint keynote at NetSci 2026 is official! 𝗔𝗹𝗯𝗲𝗿𝘁-𝗟𝗮́𝘀𝘇𝗹𝗼́ 𝗕𝗮𝗿𝗮𝗯𝗮́𝘀𝗶 and 𝗥𝗲́𝗸𝗮 𝗔𝗹𝗯𝗲𝗿𝘁 reunite on stage for a one-of-a-kind talk. Their discovery of scale-free networks and the Barabási–Albert model reshaped network science. We can’t wait to welcome you! @barabasi.bsky.social tinyurl.com/4t5p46yr

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Thrilled to announce Petra Vertes as an Invited Speaker at NetSci 2026! A Cambridge University Professor, she leads the Systems Neuroscience Lab, using computational modeling & network science to uncover principles of brain organization, function, & neurodevelopmental disorders. tinyurl.com/4t5p46yr

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