Here’s How IBM Is Helping Towns Predict Disasters

4 minute read

Every city has what emergency response crews call its “critical assets.” They’re roads, power stations, water pumps and pipes — the collective infrastructure that has the power to keep a city humming or bring life to a grinding halt. The question for city officials is when and if, exactly, these critical assets might fail. In severe weather, they typically find out the hard way.

Just this week, severe thunderstorms and twisters forced more than 15 fire departments and rescue teams to fan out across central Illinois. With crews already stretched thin, forecasters are predicting another round of severe weather to pummel the region. Help might arrive sooner if emergency crews had a map of which roads would become treacherous, which power stations would fail and which water mains would burst before the storm rolled into town.

That, in a nutshell, is the pitch for a new predictive tool IBM has unveiled in partnership with The Weather Company, parent company of The Weather Channel. Dubbed the “Intelligent Operations Center for Emergency Management,” the new platform marries live weather forecasts with a hyperlocal map of a city’s infrastructure, painting in yellow and red the predicted damage to come. With natural and man-made catastrophes taking 7,700 lives and upwards of $110 billion in damages in 2014, according to estimates by insurer Swiss Re, the market potential for a predictive tool is promising, to say the least.

See the Most Insane Natural Disasters of 2014

2014 Natural Disaster Niagara Falls Polar Vortex
Polar Vortex The U.S. side of Niagara Falls is pictured in Niagara Falls, N.Y. on Jan. 8, 2014. The frigid air and "polar vortex" affected about 240 million people in the United States and southern Canada.Aaron Harris—Reuters
2014 Natural Disaster Niagara Falls Polar Vortex
California Drought A car sits in dried and cracked earth of what was the bottom of the Almaden Reservoir in San Jose, Calif. on Jan. 28, 2014.Justin Sullivan—Getty Images
2014 Natural Disaster Niagara Falls Polar Vortex
China Smog Tourists walk on the promenade along the bank of the West Lake in heavy smog in Hangzhou city, east China Zhejiang province on Jan. 31, 2014. Zhejiang Daily/Imaginechina/AP
2014 Natural Disaster Niagara Falls Polar Vortex
Washington Mudslide A massive mudslide killed at least eight people and left dozens missing in Arlington, Wash., March 24, 2014.Ted S. Warren—AP
2014 Natural Disaster Niagara Falls Polar Vortex
Chile Earthquake A rescue worker inspects a car caught under a landslide after an 8.2 magnitude earthquake and tsunami hit the northern port of Iquique, Chile on April 2, 2014.Cristian Vivero—Reuters
2014 Natural Disaster Niagara Falls Polar Vortex
Arkansas Tornado Aerial view of the central town after a tornado hit Vilonia, Ark., April 28, 2014. Carlo Allegri—Reuters
2014 Natural Disaster Niagara Falls Polar Vortex
Afghanistan Mudslide An aerial view shows the site of a landslide that buried Abi Barik village in Badakhshan province, northeastern Afghanistan, May 5, 2014. Hundreds of people were killed and 700 families displaced. Rahmat Gul—AP
2014 Natural Disaster Niagara Falls Polar Vortex
Southern California Wildfires A house is consumed by wildfire in San Marcos, Calif. on May 14, 2014. About 500 acres have burned in the San Marcos blaze, fueled by record heat, high winds and dry conditions. At least four other fires advanced in nearby communities. Bill Wechter—Getty Images
2014 Natural Disaster Niagara Falls Polar Vortex
Balkan Floods A Serbian army soldier rows a boat as he searches for people to be evacuated in the town of Obrenovac, southwest of Belgrade, Serba on May 16, 2014. The heaviest rains and floods in 120 years have hit Bosnia and Serbia.Marko Djurica—Reuters
2014 Natural Disaster Niagara Falls Polar Vortex
Lightning Hits One World Trade Center Two bolts of lightning hit the antenna on top of One World Trade Center in Lower Manhattan, New York City on May 23, 2014. Gary Hershorn—Corbis
Yosemite Wildfire Stuart Palley Natural Disasters 2014
Yosemite Wildfire A long exposure image shows the El Portal Fire burning near Yosemite National Park, Calif. on July 27, 2014.Stuart Palley
2014 Natural Disaster Niagara Falls Polar Vortex
Iceland Volcano The Bardarbunga volcano spews lava and smoke in southeast Iceland on Sept. 14, 2014. Bernard Merci—AFP/Getty Images
2014 Natural Disaster Niagara Falls Polar Vortex
Japan Volcano Japan Ground Self-Defense Force personnel and other rescuers arrive to conduct search operations at the ash-covered Ontake Shrine near the summit of Mount Ontake in central Japan on Oct. 4, 2014. Kyodo News/AP
2014 Natural Disaster Niagara Falls Polar Vortex
Hawaii Lava Lava pushes through a fence marking a property boundary above the town of Pahoa on the Big Island of Hawaii, Oct. 28, 2014. U.S. Geological Survey/AP
2014 Natural Disaster Niagara Falls Polar Vortex
Buffalo Snow Storm Storm clouds and snow blow off Lake Erie in Buffalo, N.Y. on Nov. 18, 2014. An autumn blizzard dumped a year's worth of snow in three days on Western New York state, where five people died and residents, some stranded overnight in cars, braced for another pummeling expected later on Wednesday. REUTERS/Lindsay DeDario (UNITED STATES - Tags: ENVIRONMENT TPX IMAGES OF THE DAY)Lindsay Dedario—Reuters
2014 Natural Disaster Niagara Falls Polar Vortex
Philippines Typhoon Hagupit A Filipino typhoon victim collects water in front of a damaged home where Typhoon Hagupit hit, Samar Island, Philippines, on Dec. 8, 2014. Francis R. Malasig—EPA

The new software comes amid a surge of investment in big data solutions for public safety. Startup Mark43 is digitizing police records in an attempt to map out criminal networks. Motorola is embedding sensors into equipment used by police and fire crews to tap into a live feed of data from first responders. But IBM’s solution marks perhaps the most ambitious attempt to tease out the underlying order of chaotic events.

“I’m watching how those assets are affected to figure out, ‘Where do you begin?'” says Stephen Russo, director of emergency management solutions at IBM. “How do you get the biggest bang for your efforts?'”

Russo and his team used historic data from natural catastrophes to ascertain the breakpoint of certain assets — like when a power line might snap under high winds. The risk of failure is often as capricious as the wind itself. “It’s not a linear relationship,” says Russo. Power outages rise exponentially as wind speeds climbs from 20 mph to 40 mph, for instance. “When it goes from 40 to 50 mph, the amount of outages is much greater,” says Russo. And that’s the easy part of IBM’s catastrophic calculus.

Harder still is predicting which critical buildings — hospitals, schools and shelters — are most likely to suffer an outage. Throw in a few more assets, and no human statistician could ever hope to calculate the odds. IBM is betting machine learning algorithms can weigh the probabilities of failure in an instant and spit out ever-changing snapshots of disaster zones.

“Everybody sees the same picture of what’s going on,” says Mark Gildersleeve, president of The Weather Company’s professional division. “You’ve quantified the impact. Objectively, what are the areas most under stress?”

IBM envisions the map as a canvas for communication between emergency workers in command centers and various outposts. Top officials will have a bird’s eye view of relief efforts, while field workers can populate the map with reports from the ground. In its most ambitious form, the map could scale out to actors in the private sector. “The big ox carriers during a disaster, the Walmart’s and Costco’s, could position their resources more accurately and take more of the burden off of the public sector, so that they are not having to stock a warehouse full of water and generators.” Insurers might also use the maps to send pinpointed alerts to policyholders, warning them to cover their cars, for instance, before a hail storm bursts overhead.

But first, IBM will have to get all of those myriad actors on board its system. Fortunately for its sales team, the platform doubles as an ordinary emergency response system, recording routine traffic accidents as well as nature’s most brutal events. But the true test of the system will come at those unpredictable moments when the skies open up and the earth shakes beneath users’ feet. With severe thunderstorms threatening 50 million Americans this week, the solution can’t come soon enough.

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