The MCQMC Conference is a biennial meeting devoted to the study of Monte Carlo (MC) and quasi-Monte Carlo (QMC) methods, the relationships between the two classes of methods, and their effective application in different areas. The conference attracts between 150 and 200 participants. Its aim is to provide a forum where both the leading researchers and the users can exchange on the latest theoretical developments and important applications of these methods. In a nutshell, MC methods study complex systems by simulations fed by computer-generated random numbers. QMC methods replace these random numbers by more evenly distributed (carefully selected) numbers to improve their effectiveness. A large variety of special techniques are developed and used to make these methods more effective in terms of speed and accuracy. The conference focuses primarily on the mathematical study of these techniques, their implementation and adaptation for concrete applications, and their empirical assessment. It was initiated by Harald Niederreiter, who cochaired the past editions in Las Vegas, USA (1994), Salzburg, Austria (1996), Claremont, USA (1998), Hong Kong (2000), Singapore (2002), Juan-Les-Pins, France (2004), and Ulm, Germany (2006).