Best Paper Award to PAU at the 8th EMI Congress

215 scientific papers were presented at the 8th International EMI Entrepreneurship and Social Sciences Congress, which was held with the face-to-face / online participation of 337 academics from 129 universities in 18 countries, including Turkey, Kazakhstan, Canada, Romania, UK, New Zealand, USA, Nigeria, TRNC, Kyrgyzstan, Uzbekistan, Azerbaijan, Argentina, Pakistan, Georgia, Oman, United Arab Emirates, Morocco and Bangladesh.
Among the papers presented, the best paper award went to the paper prepared by PAU Bekilli Vocational School Assist. Prof. Dr. Hicran Utkun Dincer Aydın from PAU Bekilli Vocational School, Prof. Dr. Ayşe İrmiş from PAU Faculty of Economics and Administrative Sciences, Burcu Demirkundak from Alpmed Medical Device Industry and Trade Company, and Serdar Kevelcioğlu from Fortunetech Information Technologies Company, with the paper entitled 'Can We Distinguish Entrepreneurs from Others at the Level of Brain Activity? An Experimental Research on Creativity and Opportunity Identification with EEG'
Assist. Prof. Dr. Aydın said: "While trying to explain the information in the entrepreneurship literature with a brain-based understanding, our research also offers an innovative perspective on the use of artificial intelligence technologies in the field of entrepreneurship."
Providing information about the award-winning paper, PAU Bekilli Vocational School Lecturer Dr. Hicran Utkun Dincer Aydın stated the following: "In our study, we investigated whether creativity and opportunity identification are elements that can distinguish entrepreneurs from non-entrepreneurs at the level of brain activity within the framework of brain-based entrepreneurship. In our research, unlike traditional entrepreneurship research, we used the electroencephalogram (EEG) technique and observed that there are differences in the brain activity of entrepreneurs and non-entrepreneurs during creative thinking and opportunity identification and that different neural networks are used. We also developed a model that can be used to predict entrepreneurs in terms of brain activity with Deep Learning technique."