From Logic Magazine, December 22, 2022:
It seemed like half of Los Angeles had turned out for boat tours at the Port of Long Beach: parents corralling toddlers, couples on dates, even dog owners in line for pet-friendly tours. The port offers free guided tours to the public once a year, a sort of goodwill gesture to the community that has suffered decades of pollution as a result of its activity, and that of the adjoining Port of Los Angeles. After two hours of waiting, I filed onto an erstwhile whale-watching tour boat, where I took in the port’s enormous container ships. Like my fellow tourists, I was excited to get a glimpse of the scale of operations necessary to keep the nation supplied with toilet paper, plastic toys, and every other conceivable good.
Squinting against the sun, I tried to imagine the ships another way: as numbers on a screen, cells in a spreadsheet, dots on a grid. I’d been reading about the information transfer that accompanies the movement of these vessels, and I knew that the scale of this data is nearly as impressive as the ships’ sheer size. Ships like those docked at Long Beach are vital links in the global supply chain, but they’re also floating “data terminals,” as the global maritime industry consultancy Lloyd’s Register put it in 2015. Increasingly, these vessels receive and transmit an enormous amount of information: about their position, of course, but also about weather, traffic, temperature, maintenance, staffing, ocean conditions, and much more. The streams of information are so complex that they threaten to exceed humans’ ability to interpret them. That’s partly why many newer vessels—“smart ships,” in industry parlance—use complex algorithms (some of them devised by Google and Microsoft) to chart their courses. Within the next decade, carriers hope to launch fleets of automated or remote-controlled vessels—“ghost ships,” as they’re sometimes called.
Further away from the port, in office blocks and operations centers, fleet management centers house another tranche of data: information about which containers hold which goods, which ships carry which containers, where those ships are headed, and who paid for what. Elsewhere, “quants” with PhDs in astrophysics collate historical data with information about geography, weather, stock prices, and ship movements, searching for opportunities to place stock market bets on global trade.
At the port, I marveled at the feat of coordination represented by all these containers, all of this loading and unloading. But I also knew something strange about the shipping industry: despite all its technology, global shipping is still infamously paper-heavy. Important documents, like bills of lading and letters of credit, tend to pass physically from person to person, from driver to dockworker to engineer to trucker to warehouse supervisor. While a container moves across the ocean, its accompanying paperwork might literally be flown across the world to meet it.
That’s slowly changing: in the cloistered world of global shipping, a gold rush is taking shape, as companies vie to connect and commodify shipping data. Advanced real-time data about shipping promises to improve the speed and reliability of global logistics. But it could also have other, stranger implications. As ships edge toward automation, the prospect of rich shipping data makes it increasingly possible to imagine a future in which shipping is controlled by machines. And because shipping and banking are so deeply intertwined, better data could attune the movement of cargo near-seamlessly with the priorities of financial markets.
An Industry Built on Paper
Shipping may be unusually dependent on paper, but it’s not for any lack of data. And there are lots of different kinds, including data about ship locations, ships themselves, what ships are carrying, and the buyers and sellers of ship cargo. Ship locations are relatively easy to come by: anyone with an internet connection can monitor the movement of large ships. The UN’s International Maritime Organization requires large vessels to transmit their location information using a VHF-radio protocol called the automated identification system, or AIS. A Google search will yield numerous portals where you can view ship movements in near-real time.Data about what’s happening on ships is increasingly sophisticated, but it’s usually proprietary, held mainly by the ship operators. The newest shipping vessels are covered with sensors of all kinds, monitoring everything from cargo temperatures to fire hazards to hull conditions. On the bow of a ship’s mast, an anemometer might measure wind speed and direction. On the bottom of the hull, an echosounder can detect the depth of the seabed. In the engine room, meters measure the flow of fuel, monitoring the engines’ efficiency and condition. Increasingly, the data is reported back to shore in near real-time: 5G technology and low-Earth orbit satellites have increased the practicability of worldwide connectivity. This is important, since technologists in the shipping industry envision a near future in which one captain controls a fleet of crewless ships from an onshore computer. But detailed as this shipboard information is, it’s generally not available to anyone outside the ship operators.....
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