Jose M. Pavia has an M.Sc. in Maths and a Ph.D. in Economics and Business Science, and is a professor of Quantitative Methods at the Economics Faculty of the Universitat de Valencia, Spain. Pavia develops and applies statistical and machine learning methods in many areas of social sciences. With broad and varied research interests, his work focuses on the search for innovations that bridge the gap between theory and practical applications and include issues related to public policy evaluation, prediction, statistical (machine) learning, electoral processes, crime detection, survey research, sampling, public opinion, ecological inference, behavioural economics, experiments, regional economy or inequality. His main research has been published in journals such as the Journal of the American Statistical Association, Journal of Statistical Software, Environment and Planning A, Journal of the Royal Statistical Society, International Journal of Forecasting, European Urban and Regional Studies, Technological and Economic Development of Economy, Regional Studies, or Geographical Analysis. More info on Jose M. Pavia can be found at <http://go.uv.es/ZfX6E7w>.