National: Algorithm proves voter ID law’s discriminating intent | phys.org
In 2011, the Texas state legislature passed a bill requiring that residents present certain types of identification before being allowed to vote. The U.S. Department of Justice filed a lawsuit against Texas, arguing that the intent and effect of the bill was to discriminate against minority voters. That's where Eitan Hersh, an associate professor of political science at Tufts, came in. Working as a consultant for the Department of Justice, along with a colleague at Harvard, Hersh devised a way to determine who qualified to vote under the controversial law, known as S.B. 12. Using an algorithm, and delving into millions of publicly available records, he determined that while fewer registered voters lacked the necessary ID than had been thought, the effect of the law was clearly discriminatory, disproportionately affecting minorities. To qualify to vote under the law, registered voters had to present a state driver's license or ID card, a concealed handgun license, a U.S. passport, a military ID card, or a U.S. citizenship certificate with a photo.

