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News
Jan 16, 2026
Dartmouth Researchers Call for More Transparency in Climate-Risk Science
Only four percent of highly-cited climate-risk studies published in 2021–2022 shared both their data and code, according to a Dartmouth Engineering-led study in Proceedings of the National Academy of Sciences (PNAS).News
Dec 16, 2025 | Dartmouth Development
Dartmouth to Expand Financial Aid for Engineering Undergraduates
In the News
The Guardian
Jan 07, 2026
We study glaciers. ‘Artificial glaciers’ and other tech may halt their total collapse
Professor Colin Meyer co-authors an opinion piece about technology advancements that can help stop total collapse of the world's glaciers. "Technologies we can bring to bear include satellite-based radar, solar-powered drones, robot submarines, lab-based 'artificial glaciers,' and advanced computing technologies, including artificial intelligence," he writes.
The African Exponent
Jan 06, 2026
How Sim Shagaya Built Konga Into One of Africa's Leading E‑Commerce Platforms
Simdul Shagaya Th'99, who earned his master of engineering management from Thayer, is featured in a storya bout how he launched his company Konga to be one of Africa's leading e‑commerce platforms.
New Hampshire Public Radio
Dec 26, 2025
New Research From Dartmouth Shows How Underwater 'Storms' May Shape Glacier Melt
Professor Yoshihiro Nakayama is quoted about his research into storm-like ocean circulation patterns beneath Antarctic ice shelves that are causing glaciers to melt. "In oceanography, we normally look at time scales like months or years, because these processes are not super fast," Nakayama said. "But when we look into these processes over a few days, we realize that there are some processes that pick up the melt."
MIT Sloan Management Review
Dec 18, 2025
AI Coding Tools: The Productivity Trap Most Companies Miss
Professor Geoffrey Parker, faculty director of the Irving Institute for Energy and Society, talks about the effects of using generative AI in coding, particularly the creation of complex code that can have more bugs and be more difficult to fix. "The danger is you sort of push the accelerator and then you're getting a lot of things done and then all of a sudden the complexity starts to go up. And then things start to entangle and you get a lot of spaghetti, and then you bog down," Parker said.
Research Quick Takes
Jan 15, 2026
More Profitable Strategies
PhD student Bruno Miranda Henrique and Professor Gene Santos co-authored "Cryptocurrencies trading using Parrondo's Paradox" published in the International Review of Economics & Finance. The paper applies a concept from game theory and physics known as Parrondo's Paradox, in which two losing strategies can be combined to produce a winning outcome. "The paper shows that by systematically switching between three cryptocurrencies according to simple, predefined rules, investors can often achieve higher returns than a traditional buy‑and‑hold strategy. Against the backdrop of recent cryptocurrency price swings and heightened market uncertainty, the research adds to ongoing discussions about whether systematic trading strategies can offer an edge over passive investment in digital assets," said Santos.
Jan 08, 2026
Cryosphere Science Lecture
Professor Hélène Seroussi was selected to give the John F. Nye Lecture at the Cryosphere section reception of the AGU Fall Meeting. The award recognizes recent accomplishments and outstanding ability to communicate scientific research. "My talk was about 'Preparing for Sea-Level Rise: Are ice sheet models up to the challenge?' which discussed current capabilities and challenges of ice sheet models to help improve predictions of sea-level rise," said Seroussi.
Jan 08, 2026
Better Airline Crew Recovery Plans
Professor Vikrant Vaze co-authored "Large-Scale Airline Crew Recovery Using Mixed-Integer Optimization and Supervised Machine Learning" published in Transportation Science. Based on work by Vaze's co-advisee at MIT, Ahmet Esat Hizir (pictured), this research won the "Best Innovation" award at AGIFORS' 2024 Crew Management Study Group Meeting. "By teaching a computer to learn from past disruption recovery attempts and then guiding a powerful optimizer with those lessons, we have built a fast, flexible tool that helps airlines get their crews back on schedule more efficiently, cut costs dramatically, and reduce the ripple effects on passengers," said Vaze.