Michal Kosinski (Stanford University, USA)
Michal Kosinski is a worldwide renowned and leading expert in collecting and analyzing large datasets via online methods and social media. His work received outstanding international reception in academic and media outlets. He is particularly well known for his work analyzing Facebook and other social network data via machine learning methods (see for example:http://www.cebit.de/en/news/article/michal-kosinski-38402.xhtml). In 2014, he was listed among the 50 most influential people in Big Data according to DataIQ. Michael received a “Rising Star” designation by the APS (Association for Psychological Science). One of his recent studies on artificial intelligence, facial morphology, and social media was the basis for a cover story in The Economist.
In his keynote, Michal will provide an overview over emerging trends in analyzing digital footprints, and how such data can be used in social science, including entrepreneurship, innovation, and organizational research.
Samuel D. Gosling (University of Texas at Austin)
Professor of Psychology at the University of Texas at Austin.
Sam Gosling is a highly cited psychologist with a special interest in innovative data collection methods and technologies. Alone his two studies assessing the scientific value of the Amazon’s Mechanicals Turk and web-based studies in general received more than 7500 citations to date, according to Google Scholar.
In his keynote, Sam will speak about emerging trends in data collection methods, with a special focus on objective data, innovative multi-source approaches, and emerging technologies.