A new online game called SIGNAL lets you satisfy your appetite for virtual global domination while also helping researchers understand the risks of real-world nuclear conflict.

Researchers designed the game to explore how various weapons capabilities, such as low-yield, high precision nuclear weapons, may affect the behavior of different actors in an escalating global conflict.

Starting May 15, SIGNAL will be available during open play windows—currently scheduled from 1 to 5 PM PDT every Wednesday and Thursday—for anyone to log on and play. The researchers may expand those times if there is enough interest.

“What we’re working toward is being able to better understand how different force structures, like what types of weapons you have in your arsenal, might change how people act in a crisis,” says Bethany Goldblum, a researcher in the nuclear engineering department at the University of California, Berkeley.

“The more we can understand that, the better we can inform policymakers on possible options for reducing the risk that those weapons pose to the world.”

On its surface, SIGNAL looks like many other military strategy board games: Each online player represents one of three hypothetical countries, and the goal of the game is to maintain territorial integrity while amassing more resources and infrastructure than your opponents. Players have the opportunity to “signal” their intent to take actions such as building civilian and military infrastructure or attacking an opponent with conventional, cyber, or nuclear weapons. Players can also negotiate trades and agreements with other players.

By tracking how players behave, the researchers hope to get a better understanding of how countries might react in times of conflict.

Military leaders and policymakers often explore these questions through “war games”—seminar-style discussions or tabletop exercises that explore tactical, operational or strategic aspects of a simulated conflict scenario. But these war games are limited, in that they only reveal how one specific set of people reacts to one specific set of circumstances, says Andrew Reddie, a PhD candidate in the political science department.

Social scientists may also use surveys to understand how a broader swath of the population would respond to a particular conflict, but this approach also has its drawbacks, Reddie says.

“If I give you a piece of paper and say, ‘Read this, and then write down a response,’ you have no skin in the game, as a research participant. You don’t win anything or lose anything on the basis of answering in any particular way, whereas, if I put you inside of a gaming environment, and I say, ‘Here are the win conditions,’ we are arguably more likely to get a true sense of how you would respond,” Reddie says.

“What’s cool about what we’re doing is we’re pioneering a new term, the experimental war game, which is to use this type of wargaming framework but for scientific inquiry.”

Goldblum and Reddie say they currently plan to collect plays through the end of summer, at which point they will start analyzing data from the game. In the future, they may also consider adding additional capabilities to examine how other emerging technologies, like cyberwarfare, artificial intelligence, or drones may also impact conflict escalation.

“There is no reason why we couldn’t include missile defense capabilities, or artificial intelligence decision support, and then use the same kind of experimental wargaming framework to be able to explore the potential impact of those capabilities,” Reddie says.

“I think that’s what’s really interesting about this method—while we were looking at this specific research question, what we ended up doing was developing a method that can be applicable for a variety of different research questions. It opened up a lot of space for inquiry.”

Sandia National Laboratories and Lawrence Livermore National Laboratory are partners in the effort providing subject matter expertise and student mentoring. Funding for the project came from a grant from the Carnegie Corporation of New York.

Source: UC Berkeley

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