Söderqvist says his algorithm could help organizers anticipate when a company is vulnerable to bargaining, or likely to lay off workers. It could make major waves in Swedish labor; the white-collar, private sector union he works for, Unionen, has nearly 650,000 members — approximately 10 percent of Sweden’s working-age population.