
Onchain reputation could reshape trust in digital interactions.


Onchain reputation could reshape trust in digital interactions.

Bureau of Prison records indicate that former Alameda Research CEO Caroline Ellison’s sentence was also reduced by three months.
When Dave Hodson walked through wheat fields in Ethiopia in 2010, it seemed as if everything had been painted yellow. A rust fungus was in the process of infecting about one-third of the country’s wheat, and winds had carried its spores far and wide, coating everything in their path. “The fields were completely yellow. You’d walk through them and your clothes were just bright yellow,” he says.
Hodson, who was then at the UN’s Food and Agriculture Organization in Rome, had flown down to Ethiopia with colleagues to investigate the epidemic. But there was little that could be done: Though the authorities had some fungicides, by the time they realized what was happening, it was too late. Ethiopia, the biggest wheat-producing nation in sub-Saharan Africa, lost between 15% and 20% of its harvest that year. “Talking with farmers—they were just losing everything,” Hodson told MIT Technology Review. “And it’s just like, ‘Well, we should have been able to do more to help you.’”
Hodson, now aprincipal scientist at the international nonprofit CIMMYT, has since been working with colleagues on a plan to stop such losses in the future. Together with Maricelis Acevedo at Cornell University’s College of Agriculture and Life Sciences, he co-leads the Wheat Disease Early Warning Advisory System, known as Wheat DEWAS, an international initiative that brings together scientists from 23 organizations around the world.
The idea is to scale up a system to track wheat diseases and forecast potential outbreaks to governments and farmers in close to real time. In doing so, they hope to protect a crop that supplies about one-fifth of the world’s calories.
The effort could not be more timely. For as long as there’s been domesticated wheat (about 8,000 years), there has been harvest-devastating rust. Breeding efforts in the mid-20th century led to rust-resistant wheat strains that boosted crop yields, and rust epidemics receded in much of the world. But now, after decades, rusts are considered a reemerging disease in Europe. That’s due partly to climate change, because warmer conditions are more conducive to infection. Vulnerable regions including South Asia and Africa are also under threat.
Wheat DEWAS officially launched in 2023 with $7.3 million from the Bill & Melinda Gates Foundation (now called the Gates Foundation) and the UK’s Foreign, Commonwealth & Development Office. But an earlier incarnation of the system averted disaster in 2021, when another epidemic threatened Ethiopia’s wheat fields. Early field surveys by a local agricultural research team had picked up a new strain of yellow rust. The weather conditions were “super optimal” for the development of rust in the field, Hodson says, but the team’s early warning system meant that action was taken in good time—the government deployed fungicides quickly, and the farmers had a bumper wheat harvest.
Wheat DEWAS works by scaling up and coordinating efforts and technologies across continents. At the ground level is surveillance—teams of local pathologistswho survey wheat fields, inputting data on smartphones. They gather information on which wheat varieties are growing and take photos and samples. The project is now developing a couple of apps, one of which will use AI to help identify diseases by analyzing photos.
Another arm of the system, based at the John Innes Centre in the UK, focuses on diagnostics. The group there, working with researchers at CIMMYT and the Ethiopian Institute of Agricultural Research, developed MARPLE (a loose acronym for “mobile and real-time plant disease”), which Hodson describes as a mini gene sequencer about the size of a cell phone. It can test wheat samples for the rust fungus locally and provide a result within two to three days, whereas conventional diagnostics need months.
“The beauty of it is you could pick up something new very quickly,” says Hodson. “And it’s often the new things that give the biggest problems.”
The data from the field is sent directly to a team at the Global Rust Reference Center at Aarhus University in Denmark, which combines everything into one huge database. Enabling nations and globally scattered groups to share an infrastructure is key, says Aarhus’s Jens Grønbech Hansen, who leads the data management package for Wheat DEWAS. Without collaborating and harmonizing data, he says, “technology won’t solve these problems all on its own.”
“We build up trust so that by combining the data, we can benefit from a bigger picture and see patterns we couldn’t see when it was all fragmented,” Hansen says.
Their automated system sends data to Chris Gilligan, who leads the modeling arm of Wheat DEWAS at the University of Cambridge. With his team, he works with the UK’s Met Office, using their supercomputer to model how the fungal spores at a given site might spread under specific weather conditions and what the risk is of their landing, germinating, and infecting other areas. The team drew on previous models, including work on the ash plume from the eruption of the Icelandic volcano Eyjafjallajökull, which caused havoc in Europe in 2010.
Each day, a downloadable bulletin is posted online with a seven-day forecast. Additional alerts or advisories are also sent out. Information is then disseminated from governments or national authorities to farmers. For example, in Ethiopia, immediate risks are conveyed to farmers by SMS text messaging. Crucially, if there’s likely to be a problem, the alerts offer time to respond. “You’ve got, in effect, three weeks’ grace,” says Gilligan. That is, growers may know of the risk up to a week ahead of time, enabling them to take action as the spores are landing and causing infections.
The project is currently focused on eight countries: Ethiopia, Kenya, Tanzania, and Zambia in Africa and Nepal, Pakistan, Bangladesh, and Bhutan in Asia. But the researchers hope they will get additional funding to carry the project on beyond 2026 and, ideally, to extend it in a variety of ways, including the addition of more countries.
Gilligan says the technology may be potentially transferable to other wheat diseases, and other crops—like rice—that are also affected by weather-dispersed pathogens.
Dagmar Hanold, a plant pathologist at the University of Adelaide who is not involved in the project, describes it as “vital work for global agriculture.”
“Cereals, including wheat, are vital staples for people and animals worldwide,” Hanold says. Although programs have been set up to breed more pathogen-resistant crops, new pathogen strains emerge frequently. And if these combine and swap genes, she warns, they could become “even more aggressive.”
Shaoni Bhattacharya is a freelance writer and editor based in London.

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As we run, drive, bike, and fly, we leave behind telltale marks of our movements on Earth—if you know where to look. Physical tracks, thermal signatures, and chemical traces can reveal where we’ve been. But another type of trail we leave comes from the radio signals emitted by the cars, planes, trains, and boats we use.
On airplanes, technology called ADS-B (Automatic Dependent Surveillance–Broadcast) provides real-time location, identification, speed, and orientation data. For ships at sea, that function is performed by the AIS (Automatic Identification System).
Operating at 161.975 and 162.025 megahertz, AIS transmitters broadcast a ship’s identification number, name, call sign, length and beam, type, and antenna location every six minutes. Ship location, position time stamp, and direction are transmitted more frequently. The primary purpose of AIS is maritime safety—it helps prevent collisions, assists in rescues, and provides insight into the impact of ship traffic on marine life. US Coast Guard regulations say that generally, private boats under 65 feet in length are not required to use AIS, but most commercial vessels are. Unlike ADS-B in planes, AIS can be turned off only in rare circumstances.
A variety of sectors use AIS data for many different applications, including monitoring ship traffic to avoid disruption of undersea internet cables, identifying whale strikes, and studying the footprint of underwater noise.
Using the US National Oceanic and Atmospheric Association’s Marine Cadastre tool, you can download 16 years of detailed daily ship movements, as well as “transit count” maps generated from a year’s worth of data showing each ship’s accumulated paths. The data is collected entirely from ground-based stations along the US coasts.
I downloaded all of 2023’s transit count maps and loaded them up in geographic information system software called QGIS to visualize this year of marine traffic.
The maps are abstract and electric. With landmasses removed, the ship traces resemble long-exposure photos of sparklers, high-energy particle collisions, or strands of fiber-optic wire.




Zooming in on these maps, you might see strange geometric patterns of perfect circles, or lines in a grid. Some of these are fishing grounds, others are scientific surveys mapping the seafloor, and others represent boats going to and from offshore oil rigs, especially off Louisiana’s gulf coast.
Having a global, near-real-time system for tracking the precise movements of all ships at sea sounds like a great innovation—unless you’re trying to keep your ships’ movements and cargoes secret.
In 2023, Bloomberg investigated how Russia evaded sanctions on its oil exports after the invasion of Ukraine by “spoofing”—transmitting fake AIS data—to mislead observers. Tracking a fleet of rusting ships of questionable seaworthiness, reporters compared AIS data with what they actually saw on the sea—and discovered that the ships weren’t where the data said they were.
Clusters of fishing vessels gravitating toward known fishing grounds create some of the most interesting patterns on the maps.
Global Fishing Watch is an international nonprofit that uses AIS to monitor the fishing industry, seeking to protect marine life from overfishing. But it says that only 2% of fishing vessels use AIS transmitters.
The organization, which is backed by Google, the ocean conservation group Oceana, and the satellite imagery company SkyTruth, combines AIS data with satellite imagery and uses machine learning to classify the types of fishing technology being used.
In a press release announcing the creation of Global Fishing Watch, John Amos, the president and founder of SkyTruth, said: “So much of what happens out on the high seas is invisible, and that has been a huge barrier to understanding and showing the world what’s at stake for the ocean.”
A version of this story appeared in Beautiful Public Data (beautifulpublicdata.com), a newsletter that curates visually interesting datasets collected by government agencies.
The worst technologies of 2024. The future of mixed reality. AI’s impact on the climate. These are just a few of the topics we covered this year in MIT Technology Review’s monthly event series, Roundtables.
The series offers a unique opportunity to hear straight from our reporters and editors about what’s next for emerging technologies. Available exclusively for subscribers, these 30-minute online discussions provide insights, analysis, and perspectives on timely topics such as gene editing and smart glasses.
Roundtables is also a chance for subscribers to ask questions about the latest technologies and learn more about their impact directly from our experts and guests. Subscribers can access recordings of past sessions—about EVs in China, climate-friendly food, CRISPR babies, and AI hardware.
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Here are some highlights from this year in Roundtables:
The Worst Technology Failures of 2024
MIT Technology Review publishes an annual list of the worst technologies of the year—chronicling flops, failures, and other mishaps. The 2024 list was unveiled in December by executive editor Niall Firth and senior editor for biomedicine Antonio Regalado. They had a lively discussion about each of the eight items on this list—and what we can learn from these fiascos.
What’s Next for Mixed Reality: Glasses, Goggles, and More
This year brought many new developments in one particular consumer device category: smart glasses. After years of development, new augmented-reality specs from several companies made their debut. Editor in chief Mat Honan and AI hardware reporter James O’Donnell talked about where it’s all heading.
Putting AI’s Climate Impact into Perspective
The rise of AI comes with a growing carbon footprint and greater demand for electricity. Analysts project that AI could drive up data centers’ energy consumption by 160% this decade. So how worried should we be? Editor at large David Rotman, senior AI reporter Melissa Heikkilä, and senior editor for energy James Temple explored the energy trade-offs involved in AI.
CRISPR Babies: Six years later
Gene editing can correct or improve the DNA of human embryos, potentially opening the door to the “technological evolution” of our species. But in 2018, a premature attempt to use the technology this way led to a prison term for He Jiankui, the researcher involved. Editor in chief Mat Honan and senior editor for biomedicine Antonio Regalado had a conversation with He, a biophysicist and the creator of the first gene-edited humans, to revisit this controversial technology and the future of editing in IVF clinics.
Why Thermal Batteries Are So Hot Right Now
Thermal batteries could be a key part of cleaning up heavy industry. Executive editor Amy Nordrum and senior climate reporter Casey Crownhart told us what we can expect next from this emerging technology—which was also voted the 11th breakthrough technology of 2024 by our readers.