For Summer Semester 2018 the UQ Seminar will focus on theory and methods for forward and inverse quantification of uncertainty in spatial statistical problems. We will consider methods such as Gaussian process regression and Kriging, reproducing kernel Hilbert spaces, parametric and non-parametric inverse problems, and approximate inference techniques such as Markov chain Monte Carlo, filters, smoothers, and transport maps.