Von Dr. Fabrizio Ruggeri (Editor-in-Chief des Journal: Applied Stochastic Models in Business and Industry, Wiley) wurde Andrea Ahlemeyer-Stubbe eingeladen, das Whitepaper „A review of data science in business and industry and a future view“ von Shirley Coleman (ISRU, Newcastle University) und Grazia Vicario (Politecnico di Torino, Turin) in einem Artikel zu diskutieren. Ebenfalls eine Einladung dazu erhielten weitere namhafte Experten (in alphabetischer Reihenfolge):
John Bailer, Department of Statistics, Miami University, Oxford, Ohio und Nicholas I. Fisher, School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia
Alberto Ferrer, Polytechnic University of Valencia – Dept. Applied Statistics, Multivariate Statistical Engineering Group, Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, València, Spain
Ron Kenett, The KPA Group, Raanana, Israel, Samuel Neaman Institute, Technion, Haifa, Israel, Department of Economics and Statistics, University of Turin, Turin, Italy
Piercesare Secchi, MOX—Dipartimento di Matematica, Politecnico di Milano, Milan, Italy; Center for Analysis Decisions and Society, Human Technopole, Milan, Italy
David M. Steinberg, Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel und Eddie Aronovich, Advanced Technical Center Israel, General Motors, Herzliya, Israel
Nicola Torelli, Department of Economics, Business, Mathematics and Statistics “Bruno de Finetti”, Università degli studi di Trieste, Trieste, Italy
Das Whitepaper sowie die Diskussionen dazu werden Ende März 2020 veröffentlicht – im Journal: Applied Stochastic Models in Business and Industry, Wiley, Volume 36, Issue 1.
An einer Diskussion eines weiteren Whitepapers (Experiences with Big Data: Accounts from a Data Scientistic’s Perspective, verfasst von Wissenschaftlern der Technical University of Denmark) arbeitet Andrea Ahlemeyer-Stubbe aktuell – diesmal auf Einladung von Marcus Perry, PhD, Editor-In-Chief, Quality Engineering, Professor of Statistics, Info Systems, Statistics, and Mgmt Science, The University of Alabama.
