by Alexander Glavackij, Dimitri Percia David, Alain Mermoud, Angelika Romanou, Karl Aberer | Nov 29, 2022 | Publications, Scientific Articles
Abstract Because of the considerable heterogeneity and complexity of the technological landscape, building accurate models to forecast is a challenging endeavor. Due to their high prevalence in many complex systems, S-curves are a popular forecasting approach in...
by Michael Tsesmelis, Ljiljana Dolamic, Marcus Matthias Keupp, Dimitri Percia David, Alain Mermoud | Sep 21, 2022 | Publications, Scientific Articles
Abstract Strategic decisions rely heavily on non-scientific instrumentation to forecast emerging technologies and leading companies. Instead, we build a fast quantitative system with a small computational footprint to discover the most important technologies and...
by Sarah Ismail, Alain Mermoud, Dimitri Percia David, Valentin Mulder, Loïc Maréchal, Samuel Orso | May 1, 2022 | Podcasts, Publications, Scientific Articles
Abstract The goal of this quantitative study is to identify, analyze, and forecast trends related to data protection and encryption technologies. Based on Wikipedia pageview statistics, we study the public interest in 36 technologies that were previously identified by...
by Alexander Glavackij, Dimitri Percia David, Jacques Roitel, Alain Mermoud, Angelika Romanou, Thomas Maillart | Feb 1, 2022 | Podcasts, Publications, Scientific Articles
Abstract In an environment where technological development largely determines economic growth and social change, predicting these developments is critical for strategic decisions in organizations. Previous work widely uses S-curves to model technological development...
by Claudia Schärer, Michael Tsesmelis | Jan 28, 2022 | Press
Dr. Claudia Schärer is head of early detection at the Swiss Academy of Engineering Sciences (SATW). Every two years, her team produces the Technology Outlook report, which describes forward-looking technologies and assesses their importance for Switzerland. The 2021...
