International Guest Speakers:
Jonas Wilinski, Research Assistant and Doctoral student, Institute of Entrepreneurship, Hamburg University of Technology (TUHH)
Jürgen Thiesen, Research Assistant and Doctoral student, Institute of Entrepreneurship, Hamburg University of Technology (TUHH)
Facilitator: Professor Anne-Laure Mention, Director, Global Business Innovation Enabling Impact Platform, RMIT University and Chief Investigator, OpenInnoTrain Project.
Seminar Abstract:
Cutting-edge computational methods, like Deep Learning and Machine Learning, are revolutionizing complex, interdisciplinary areas. In this joint seminar, Jonas and Jürgen's talks aim to develop structured concept spaces, revealing the wide-reaching impacts of Clean Technologies and Artificial Intelligence, and promoting innovation and strategic insights across sectors
Jonas Wilinski: The AI Innovation Compass: Constructing Semantic Networks from AI Concepts to Identify and Measure Technology Innovation
This talk explores the rapidly evolving landscape of Artificial Intelligence (AI) as a General Purpose Technology and its dual role in driving and sustaining innovation across various domains. Central to this work is the development of an AI Concept List and it’s application onto research papers to generate several semantic networks. Numerous stages are involved, including data acquisition and keyphrase extraction, extension through semantic similarities and validation using regression analysis. The AI Concept List, created through a custom unsupervised machine learning pipeline, consists of clustered keyphrases that encapsulate the broad field of AI, each annotated with an importance weight to aid in-depth analysis in various research and industry domains. The findings unveil a steady rise in the prevalence of AI concepts across certain research domains. Subsequent discussions delve into potential implications, practical applications, and inherent limitations alongside with future research directions and subsequent improvements. This work proposes a novel methodology for measuring innovation, aiming to benefit the academic and industrial communities by highlighting groundbreaking innovations and uncovering AI applications in new domains.
Jürgen Thiesen: Steering Science and Technology towards Sustainability – A Clean Technologies Concept List. This talk addresses the integration of Clean Technologies within the scope of global environmental and sustainability challenges. The study presents a novel approach to structuring and categorizing the field of Clean Technologies, employing advanced methodologies from the fields of Deep Learning, Machine Learning and Natural Language Processing. Moreover, this study goes forth and highlights the multidisciplinary, cross-sectoral nature of the field.
The primary contribution of this work is the development of an extensive Clean Technologies concept list, derived from a wide range of patents and scientific articles.
The significance of this research lies in its potential to serve as a foundational tool for stakeholders in the Clean Technologies sector, including researchers, policymakers, industry professionals, and educators. The concept list is designed to provide a robust framework for understanding the multifaceted aspects of Clean Technologies, thereby facilitating more structured and profound engagement with this pivotal field.
Bios:
Jonas Wilinski: I am a Research Assistant and Doctoral student at the Institute of Entrepreneurship within the prestigious Hamburg University of Technology (TUHH). My area of expertise lies in the field of social sciences, with a specific focus on utilizing quantitative and data-driven methodologies. My current research revolves around the evolution and diffusion of Artificial Intelligence Concepts, Frameworks, and Methods across various domains in both research and industry.
To accomplish this, I am deeply engaged in studying the latest advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing. By employing rigorous quantitative methods, I aim to provide insightful answers to my research questions.
In addition to my research pursuits, I am actively involved in organizing the annual conference known as Machine Learning in Engineering Days (MLE Days, mle-days.de). Furthermore, I am responsible for designing and teaching master-level courses such as “Technology Entrepreneurship" and “Deep Learning for Social Graphs and Text Analytics." Additionally, I provide valuable support to numerous master-thesis projects.
Jürgen Thiesen: I am a Research Assistant and Doctoral student at the Institute of Entrepreneurship at Hamburg University of Technology (TUHH). My research focusses on Clean Technologies and Sustainable Entrepreneurship. By employing methods from the field of Natural Language Processing and Deep Learning, with a specific focus on semantics, I search for novel concepts in the field of Clean Technologies. Furthermore, I link different datasets such as patent databases to scientific publications and startup data. The main goal is to understand the concepts of emergence, diffusion, and commercialization in the context of Clean Technologies. In addition to my research, I am involved in teaching in the field of entrepreneurship, with courses such as “Technology Entrepreneurship”, as well as courses in the field of Deep Learning, such as the upcoming course „Deep Learning for Social Analytics”.
Overall, my work contributes to the understanding of Neural Networks, Clean Technologies, and the effective utilization of these technologies for addressing global challenges. I am dedicated to bridging the gap between academia and industry, providing valuable insights into the development and application of innovative technologies.
Acknowledgements:
OpenInnoTrain Project, is a global network of researchers and industry practitioners across Europe and Australia for promoting the translation of research between university-industry through cooperation and Open Innovation in the sectors of: FinTech, Industry 4.0, CleanTech, FoodTech. This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823971.
RMIT University, Melbourne, Australia – Global Business Innovation Enabling Impact Platform (Director, Professor Anne-Laure Mention).
Hamburg University of Technology (TUHH)
