About me

Julien Cloarec

Julien Cloarec is an 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 at iaelyon School of Management, Université Jean Moulin Lyon 3.

He is also Vice-President of the French Society of Management.

He holds an M.Eng. in Computer Science, as well as a Ph.D. in Management Science, for which he was awarded the 𝗕𝗲𝘀𝘁 𝗧𝗵𝗲𝘀𝗶𝘀 𝗣𝗿𝗶𝘇𝗲 by the French Foundation for Management Education and a 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗗𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝗼𝗻 by the French Marketing Association.

After defending his Ph.D. at Université Toulouse Capitole, he was a researcher at the Center for Research in Information Technology and Business at Université Laval, in Canada.

As an academic, he seeks to offer insights pertaining to 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝗽𝗿𝗶𝘃𝗮𝗰𝘆 𝗮𝗻𝗱 𝗻𝗲𝘄 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀. His research was 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗶𝗻 𝘀𝗲𝘃𝗲𝗿𝗮𝗹 𝗷𝗼𝘂𝗿𝗻𝗮𝗹𝘀, such as 𝘗𝘴𝘺𝘤𝘩𝘰𝘭𝘰𝘨𝘺 & 𝘔𝘢𝘳𝘬𝘦𝘵𝘪𝘯𝘨, 𝘛𝘦𝘤𝘩𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯, 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘤𝘢𝘭 𝘍𝘰𝘳𝘦𝘤𝘢𝘴𝘵𝘪𝘯𝘨 𝘢𝘯𝘥 𝘚𝘰𝘤𝘪𝘢𝘭 𝘊𝘩𝘢𝘯𝘨𝘦 and 𝘍𝘳𝘦𝘯𝘤𝘩 𝘑𝘰𝘶𝘳𝘯𝘢𝘭 𝘰𝘧 𝘔𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 𝘐𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘚𝘺𝘴𝘵𝘦𝘮𝘴.

Research

As a researcher, I seek to offer insights pertaining to privacy and new technologies, as well as relevant implications for practice

Privacy

Cloarec, J., Meyer-Waarden, L. and Munzel, A. (2022), The Personalization–Privacy Paradox at the Nexus of Social Exchange and Construal Level Theories, Psychology & Marketing, 49(3)

Cloarec, J. (2020), The Personalization-Privacy Paradox in the Attention Economy, Technological Forecasting and Social Change, 161

Artificial Intelligence

Meyer-Waarden, L. and Cloarec, J. (2022), “Baby, You Can Drive My Car”: Psychological Antecedents that Drive Consumers’ Adoption of AI-powered Autonomous Vehicles, Technovation, 109

Meyer-Waarden, L, Cloarec, J., Adams, C., Aliman, D. N., and Wirth, V (2021), Home, Smart Home: How Well-Being Shapes the Adoption of AI-Powered Homes in Smart Cities, French Journal of Management Information Systems, 26(4)

Data Science

As an academic and trainer, I share my knowledge of Data Science, an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data

Statistics

Statistics is the discipline that concerns the collection, organization, analysis, interpretation and presentation of data

Machine Learning

Machine learning is the study of computer algorithms that improve automatically through experience and by the use of data

natural language processing

Natural language processing is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language

COMPUTER VISION

Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos

Organization that trusted me for Data Science training