Design automation tools have been an enabling force in the computing revolution. Beginning in the 1970s, rapid advances have allowed semiconductor chips to evolve from a handful of transistors to modern processors and systems with billions devices.

This was part of a series of workshops - view the series page.

Modern science, technology, and politics are all permeated by data that comes from people, measurements, or computational processes. However, data is often incomplete, corrupt, or lacking in sufficient accuracy and precision. While concern for these uncertainties would seem essential to rational decision making, explicit consideration of uncertainty is rarely part of the computational and decision making pipeline. Now is the appropriate time to hold a discussion about future research directions related to the modeling of uncertainty in computations and the ways in which the uncertainty inherent in many computational processes can be communicated to those tasked with making decisions based on such data.