How should society decide who gets a liver transplant? Should there be marketplaces for data in the near future and how should these markets be run? If a driverless car kills someone, who is at fault? And how can randomness help optimize algorithms used in machine learning?
These questions and others, from the highly technical to the broadly applicable, were discussed at the inaugural Princeton Day of Optimization, a day-long conference on Friday, Sept. 28.