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Expert Talk: Data Entrepreneurship

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Date 7 Apr 2022
Time 19:30 to 21:00
Location Online or offline
Speaker Ksenia Podoynitsyna

Expert Talk: Data Entrepreneurship

In this Expert Talk, we talked to Ksenia Podoynitsyna about her scientific unit within JADS: Data Entrepreneurship. What is the role of this unit across JADS? What does it contribute to education, research and impact, and in our larger business community and society?

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  • Welcome by Emile Aarts
  • Introduction by Ksenia Podoynitsyna: three main theme’s in the research on the interface between data science and entrepreneurship: (1) implications of big data and AI for business,  (2) data science and AI methods in entrepreneurship research, and (3) data-driven decision making tools.
  • Deep dive 1 – Martijn Willemsen – on why the recommender systems are so important.
  • Deep dive 2 – Werner Liebregts  – what is Social Signal Processing and how it can improve entrepreneurial pitches
  • Deep dive 3 – Siping Ren – on how users react to privacy-sensitive permissions that are not needed for the app functionalities
  • Deep dive 4 – Sven van der Meer (KPN) on strategy-making regarding streaming platforms
  • Closing remarks

Dr. Ksenia Podoynitsyna

Dr. Ksenia Podoynitsyna is Associate Professor of Data-Driven Entrepreneurship at JADS, the Joint Graduate School of Tilburg University and Eindhoven University of Technology. She also serves as the Program Director for the master “Data Science and Entrepreneurship” and is the Data Entrepreneurship research unit head @ JADS. Her research focuses on the ways data allows to create and capture value through innovative business models, ecosystems and platforms.

Werner Liebregts

Werner Liebregts is an Assistant Professor of Entrepreneurship at the Data Entrepreneurship (DE) Unit of JADS. He is also a secretary of the Dutch Academy of Research in Entrepreneurship (DARE). Werner obtained his PhD in Economics with a focus on intrapreneurship from Utrecht University in March 2018. Previously, he held several positions as a quantitative researcher at (applied) scientific research institutes in the Netherlands, viz. EIM Business and Policy Research and TNO. Given that he belongs to the entrepreneurship research group of a data science institute, his research increasingly combines the two disciplines. This can be interpreted in the following two ways: (1) Investigating how and why data science enables entrepreneurs in becoming (more) successful, and (2) applying contemporary data science techniques to better address conventional entrepreneurship research questions. In other words, he is very much intrigued by how entrepreneurs and entrepreneurship scholars can leverage data science for new value and new knowledge creation, respectively.

Siping Ren

Siping Ren is a PhD student at the Data Entrepreneurship Unit of JADS. She works on the interdisciplinary research between data science and business economics/management science, with an emphasis on how to use data-driven methods to uncover and analyze interesting phenomena, adaptive to different theoretical frameworks. She has a broad interest span, and her newest found hobby is robotics.

Martijn Willemsen

Martijn Willemsen is an Associate Professor on human decision making in interactive systems in the Human Technology Interaction group at Eindhoven University of Technology (TU/e) and at the Jheronimus Academy of Data Science in Den Bosch (JADS). He researches the cognitive aspects of Human-Technology Interaction, with a focus on the psychology of judgment and decision making in relation to decision support systems and AI. From a theoretical perspective, he has a special interest in process tracing technologies to capture and analyze information processing of decision makers. His applied research focuses on how decisions can be supported by recommender systems and AI, and includes domains such as movies, music, health-related decisions (food, lifestyle, exercise) and energy-saving measures.

About the Expert Talks

In early 2020, JADS launched the concept of Expert Talks. Small scale, interactive, hybrid events where an expert in a certain field gives a presentation about their personal experiences and expertise on a data science related subject. He or she is then joined at the table by other experts, industry leaders or young talent for an interactive discussion, in which the audience can participate as well. More information:

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