Faridani, Theo H.2019-11-072019-11-072019https://hdl.handle.net/1794/2501735 pagesWe present a software, CCBias, to assist researchers in observing events of all kinds. Given characteristic information about a population of objects and observational methods, CCBias can generate synthetic observational data. CCBias can also recommend search strategies if told what observational outcomes are desirable. Lastly, CCBias can estimate the bias in real data by transforming the problem of identifying bias into a problem of estimating model parameters. We demonstrate the strengths and weaknesses of CCBias in a case study focused on planetary defense. CCBias is written in the Python programming language.en-USCreative Commons BY-NC-ND 4.0-USPhysicsObservationComputer ScienceCensored DataBiasData ScienceThesis/Dissertation