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Stories about the Allen School’s people, research and impact. 

To help Reddit moderators make data-driven decisions on what rules are best for their community, a team of researchers in the Allen School’s Behavioral Data Science Group and Social Futures Lab conducted the largest-to-date analysis of over 67,000 Reddit rules and their evolution.

There has been a lot of chatter about new computer science graduates and employment in the AI era. Allen School professors Magdalena Balazinska and Dan Grossman examine the myths and realities surrounding AI and the prospects for current and future Allen School majors.

Companies are pouring billions into developing humanoid robots. In an op-ed, Allen School professor Maya Cakmak considers the results of a survey exploring whether people would welcome such robots — and looks forward to taking one for a spin (for science).

Lin, a member of the Allen School’s Cryptography and Theory groups, discusses her research in indistinguishability obfuscation, how the cryptographic assumptions have hardened over time, and what iO can offer in terms of precise, controlled information revelation.

In 2011, a team of researchers that included Allen School professor and alum Franziska Roesner published a paper detailing how they could remotely take control of a car. Their work, which inspired new motor vehicle security standards, received the USENIX Test of Time Award.

Aatish Parson (B.S., ‘25) has hit a few bumps in the road since graduation—all the better for building the CivicScan app that uses artificial intelligence to detect potholes and other issues to smooth the way for improved road maintenance.

Professor Ed Lazowska joined KUOW’s Soundside program to discuss the prospects for computer science majors and how advances in artificial intelligence will impact many sectors — suggesting that the current “gloom and doom” focused on technology employment is misplaced.

The Open Multimodal AI Infrastructure to Accelerate Science (OMAI) project will accelerate scientific discovery and advance the science of AI itself, with support from the U.S. National Science Foundation’s Mid-Scale Research Infrastructure program and NVIDIA.

A study led by Allen School professor Tim Althoff and published in Nature offers the strongest evidence to date of the link between physical activity and the built environment.

In a recent paper, a team of researchers led by professor Matt Golub designed a new machine learning technique to understand how different parts of the brain talk to each other even when some parts can’t be directly observed.