Ⅰ. The Digital Advertising Market is Facing the Issue of Measurement Error Digital advertising has been growing explosively every year. Especially during the global pandemic, as the offline market significantly contracted, the shift in consumer focus to online platforms made digital advertising the mainstream in the global advertising market.
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Having completed over half of my graduate courses and approaching graduation, I wanted to write a thesis in a field that heavily utilized machine learning and deep learning, rather than relying on traditional statistical analysis methods. This felt more aligned with the purpose of my graduate education in data science and artificial intelligence, making the experience more meaningful.
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The real estate market is showing unusual signs. As global tightening begins, experts worry that the bubble in the domestic real estate market, which benefited from the post-COVID-19 liquidity, may burst. They warn we should prepare for a potential impact on the real economy.
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Ⅰ. What if we could detect a real estate bubble? In 2021, the real estate market entered a recession as the bubble burst. The government is hastily preparing policy to activate the market, but it doesn't seem to be working as planned. However, if we could detect the real estate bubble in advance, wouldn’t it be possible to prevent the market from entering a recession?
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Recently, the U.S.-China conflict has intensified. Beginning with trade restrictions on China under the Trump administration in 2018, the Biden administration, which took office in 2021, has continued to take bold steps aimed at domestic manufacturing recovery and tightening control over China. These efforts include bipartisan legislation such as the Infrastructure Investment and Jobs Act and the CHIPS and Science Act. As a result, the global industrial landscape is undergoing significant restructuring.
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The Gordon School of Business (GSB) is the educational branch of the Swiss Institute of Artificial Intelligence (SIAI). While SIAI now serves as a hub for global conferences and high-level research, GSB continues the Institute’s original educational mission: training the next generation of thinkers capable of applying deep statistical reasoning to real-world complexity. This Yearbook offers a rare glimpse into that mission in action—not through official reports or faculty summaries, but through the voices of the students themselves.
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