During the last presidential election, traditional pollsters were challenged by a relatively new breed of election gurus who used mathematical models to predict the outcome. For the most part, these "modelers" did a better job of divining how people would cast their vote than did big name firms like Gallup.
Tom K. Wong, a political scientist at UC San Diego, is using the technique to predict how members of Congress will vote on the immigration bill.