GISU 2022 Digital and Entrepreneurship Academy

International Scientific and Technical Cooperation and Entrepreneurship 4.0
Tuesday, October 4, from 3:00 pm to 5:00 pm (Beijing Time), 08:00 am to 10:00 am (Lisbon Time)

This program presents the socio-economic changes in society under the influence of the quarantine restrictions of 2020-2021. The influence of Industry 4.0 on the reasons and forms of organization of quarantine restrictions at the international level is revealed. This webinar explains the need to change the economic model of organizing the production using Industry 4.0 technologies. The possibilities of financing the necessary changes and assessing their effectiveness have been analysed.

Discussion includes the theoretical aspects of competition under Industry 4.0 conditions. It explains the connection between theories of competition and economic harmonies and suggests a system view on their mutual application. Highlights include the theoretical aspects of Product Development 4.0 and the influence of global problems of Humanity (such as COVID-19) which changes the approach to the Product Development.

This program will be coordinated by Serhii Voitko, Head of the Department of International Economics, Doctor of Economics, Professor, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” with lecturers to include Serhii Voiko, Head of the Department of International Economics, Doctor of Economics, Professor; Anna Kukharuk, PhD, Associate Professor of the Department of International Economics; Natalia Skorobogatova, PhD, Associate Professor of the Department of International Economics; and Olena Korohodova, PhD, Associate Professor of the Department of International Economics.

Driver's Behavior Cognition
Thursday, October 6, from 3:00 pm to 5:00 pm (Beijing Time), 08:00 am to 10:00 am (Lisbon Time)

The main objective of this program is to describe an approach to early recognition of abnormal, inattentive or distracted driving in order to increase traffic safety based on mobile phone sensors. More specifically, discussion will focus on a software developing solution to collect data from mobile phone sensors, process it and make alerts to drivers in real time about potentially dangerous situations which help to prevent possible car accidents and correct bad driving habits. Collected data can also be used at a later stage through data science techniques to further profile drivers. Discussion will also include the possible application of suggested approach for autonomous driving.

This program will be led by Iryna Husyeva, PhD, Associate Professor National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (Ukraine) with Polytechnic Institute of Tomar (Portugal).

Innovative Entrepreneurship and Development of Start-Up Projects
Tuesday, October 11, from 3:00 pm to 5:00 pm (Beijing Time), 08:00 am to 10:00 am (Lisbon Time)

This program will explore innovation and innovative entrepreneurship, the essence and key features, the essence and importance of startup projects in the development and dissemination of innovative technologies, stages of startup projects development, types of startups, startup business models, investing in startups, and the scaling of startups.

This program will be led by Kateryna Kopishynska, PhD in Economics, Associate Professor, Department of Management of Enterprises, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” with lecturers Maryna Kravchenko, Doctor of Sciences (Economics), Professor, Dean of the Faculty of Management and Marketing; Кateryna Boiarynova, Doctor of Sciences (Economics), Professor, Department of Management of Enterprises; and Kateryna Kopishynska, PhD in Economics, Associate Professor, Department of Management of Enterprises.

B2B Marketing and Marketing Research as Key Competencies of the Industrial Marketing Department
Thursday, October 13, from 3:00 pm to 5:00 pm (Beijing Time), 08:00 am to 10:00 am (Lisbon Time)

This program will discuss performance marketing in the enterprise management and digital strategies for B2B and B2C markets. Topics will include mathematical modeling methods for innovative startup-projects, success prediction and marketing strategy development with a focus on curiosity.

This program will be led by Liudmyla Shulhina, Doctor of Economics, Professor, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” with lecturers Serhii Solntsev, Head of the Department, Doctor of Physical and Mathematical Sciences, Professor; Liudmyla Shulhina, Doctor of Economics, Professor; Nataliia Psyarenko, Ph.D. in Economics, Associate Professor; Oleksii Kofanov, Ph.D. in Economics, Ph.D. in Engineering Sciences, Senior Lecturer; and Nataliya Yudina, the Laureate of the President of Ukraine Prize for young scientists, Ph.D. in Economics, Associate Professor, a Founder of the Futurology Portal.

Analyzing and Identifying Optimal Heating Systems to Support Decision Making in the Green Energy Transition
Wednesday, October 19, from 3:00 pm to 5:00 pm (Beijing Time), 08:00 am to 10:00 am (Lisbon Time)

More than 110 countries, including 500 cities worldwide, have set the goal of reaching carbon neutrality. Heating contributes to most of the residential energy consumption and carbon emissions. The green energy transition of fossil-based heating systems is needed to reach the emission goals. However, heating systems vary in energy source, heating technology, equipment location, and these complexities make it challenging for households to compare heating systems and make decisions. Hence, a decision support tool is proposed to analyse and identify the optimal choice for decision-makers.

This program will be led by Professor Yang Liu and PhD student Qianyun Wen. Yang Liu is currently a tenured Associate Professor in the Department of Management and Engineering, Linköping University, Sweden. His research interests include sustainable smart manufacturing, product service innovation, decision support system, competitive advantage, etc. Prof. Liu has authored or co-authored more than 130 peer-reviewed scientific articles. His publications have appeared in multiple distinguished journals, and some ranked as top 0.1% ESI Hot Papers and top 1% ESI Highly Cited Papers. He serves as an Associate Editor of the prestigious Journal of Cleaner Production.

Qianyun Wen is a PhD student with the Division of Environmental Technology and Management at Linköping University, Sweden. She is mainly involved with an EU Horizon 2020 project: “Flexibility for Smart Urban Energy Systems”, focusing on developing a data management, energy intelligence, and analytics platform to support decision making on green energy transition for city planners. Her research interests include a wide range of data and AI applications in Management and Engineering fields.

Intellectual Economy Development: Challenges vs Opportunities
Wednesday, October 26, from 3:00 pm to 5:00 pm (Beijing Time), 08:00 am to 10:00 am (Lisbon Time)

This new program, led by Professor Kateryna Boiarynova from the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, will examine: (1) the concept of an intellectual economy as the newest economic system, (2) innovative development of the energy sector in the context of Industry 4.0 and (3) modeling the irrational behavior of economic agents in modern entrepreneurship.

Exploratory Data Analysis through Machine Learning Algorithms
Friday, October 28, from 3:00 pm to 5:00 pm (Beijing Time), 08:00 am to 10:00 am (Lisbon Time)

Exploratory Data analysis is an exciting way of applying interesting techniques to uncover unknown or difficult to manually determine patterns through the application of Feature Transformation and Engineering. This program will not only review various useful ways of Exploratory Analytics using example dataset but also demonstrate ways of implementing various supervised Machine Learning Algorithms to build predictive models.

This program will be led by Dr. Asif Karim who is a Research Intensive Lecturer with Charles Darwin University, Australia. His primary research interest is AI based Data Analytics and predictive model development, especially in the arena of Health Informatics. He also works on Blockchain based Smart Contracts. Dr. Karim has a number of publications in international top tier journals and Conference proceedings.