AI 4 Crowdfunding: A hands-on roadmap to study and understand crowdfunding data using critical thinking AI


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Nur Yılmaz G.

Teknik Rapor, ss.1-19, 2024

  • Yayın Türü: Diğer Yayınlar / Teknik Rapor
  • Basım Tarihi: 2024
  • Sayfa Sayıları: ss.1-19
  • TED Üniversitesi Adresli: Evet

Özet

Crowdfunding has emerged as a critical financial solution that democratizes capital access,

driving innovation and economic development. The integration of Artificial Intelligence (AI) into

crowdfunding management offers numerous strategic benefits, such as predicting success rates

or detecting fraud. Previous research efforts have showcased the potential of leveraging AI for

deriving data-driven insights into crowdfunding, especially with regards to reward-based

crowdfunding on platforms such as Kickstarter. Efforts for understanding the dynamics of

crowdfunding campaigns have focussed on how these are designed, what determines campaign

support or what determines their success). These questions are increasingly answered using

Machine Learning (ML) methods. While such works constitute an invaluable knowledge base and

demonstrate that AI is instrumental for illuminating crowdfunding non-linear dynamics, their

academic nature, often non-replicable, impedes their translation into actionable tool sets for the

practice of crowdfunding optimization and, at the same time, makes it difficult for academics to

reproduce the results obtained in the papers. The goal of our research is to share a hands-on

roadmap to study and understand crowdfunding data using AI. More importantly, we do this by

discussing the reasoning processes utilized by experienced data scientists, who have developed

critical thinking for AI. We here state that quality education in AI for crowdfunding is the basis for

a sustainable implementation of the next generation of data-driven crowdfunding professionals,

and this piece contributes to bridging the current knowledge gap. From data collection through

preprocessing, exploratory data analysis (EDA), and visualization, to the generation of data-driven

insights using AI modeling, we here cover AI for crowdfunding as a holistic skillset. We provide

careful reasoning on the data scientist’s careful AI mindset, emphasizing the value of critical

thinking and providing access to hands-on-doing learning materials vital for informing nextgeneration

crowdfunding professionals.