Michael Haenlein

Michael Haenlein is a Professor of Marketing at ESCP Business School and holds the Chair in Responsible Research in Marketing at the University of Liverpool Management School. He holds a Ph.D. from the WHU, Otto Beisheim School of Management (2004), and a Habilitation from the Pantheon-Sorbonne University (2013). Professor Haenlein’s research interest and expertise deal with the impact of new technologies on firms’ customer relationship management activities. This includes work on artificial intelligence, influencer marketing, and, more recently, video games, mobile games, and eSports. Dr. Haenlein is also working in responsible research looking into inequality, well-being, and knowledge diffusion through popular media. He has published in journals such as the Journal of Marketing, JAMS, IJRM, Business Horizons, and the California Management Review. He counts among the top 50 most cited marketing academics worldwide, based on Google Scholar. Professor Haenlein is an Associate Editor at IJRM and JSR, part of the Editorial Review Board of the Journal of Marketing, JAMS, and the Journal of Interactive Marketing, on the International Advisory Board of the California Management Review, and the Advisory Panel of the European Management Journal. Professor Haenlein is also part of the Executive Committee of EMAC, where he serves as Vice President of Corporate Relationships, the Academic Council of AMA, and the Working Board of RRBM.

Piyushimita (Vonu) Thakuriah

Vonu Thakuriah is a Distinguished Professor in Rutgers University-New Brunswick and Director of the Rutgers Urban and Civic Informatics (RUCI) Lab. Her research interests are in transportation planning and operations; big data, urban informatics, smart cities and social and economic cyberinfrastructure; and the social equity and data justice aspects of information technology, AI and automation. Her work has been supported by research funds from leading sponsors such as the National Science Foundation, European Commission, and UK Research and Innovation. She has also received funding from the U.S. Department of Transportation and a number of state, regional and local agencies. She has delivered keynote addresses and plenaries at prominent international and national venues, such as the such as National Academy of Sciences, European Commission in Brussels and Luxembourg, the Royal Academy of Engineering in London, the Leibnitz Center for Informatics in Germany, and the National Institute of Informatics in Japan. She has a wide range of experience in helping government agencies and private companies find data-intensive and technology-based solutions to complex urban and mobility challenges. She is passionate about addressing such challenges through strategies that focus on social justice, ethics in data and technology, environmental sustainability, and health and well-being.

Edgar Meij

Edgar Meij is the head of the Search and Discovery group in Bloomberg Engineering’s Artificial Intelligence (AI) group. He holds a Ph.D. in computer science from the University of Amsterdam and has an extensive track record in information retrieval, natural language processing, and machine learning. Edgar leads several teams of researchers and engineers that work on information retrieval, semantic parsing, question answering, and smart contextual suggestions under severe latency constraints. Together, these researchers and engineers build, maintain, and leverage the company’s Search, Autocomplete, and Question Answering systems. They employ all of Bloomberg’s data sources, including companies, people, functions, fields, financial instruments, geographic locations, and the Bloomberg Knowledge Graph to enable Bloomberg Terminal users to ask complex questions and issue complex commands in natural language.