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SSUN Annual Conference: Social Sciences and Data Science

SSUN Annual Conference: Social Sciences and Data Science banner
Preview this course
Self-paced Intermediate

SSUN Annual Conference: Social Sciences and Data Science

3(115)
FREE
99 min
Anytime
English
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Why enroll

Participants join this conference to gain a competitive edge in the evolving digital landscape by bridging the gap between social science theory and data science application. They are driven by the opportunity to access exclusive research, such as global digital trade indices and AI-driven behavioral studies, which provide a roadmap for navigating complex regulatory environments and market risks. Additionally, the event serves as a vital networking hub, connecting scholars and professionals who wish to explore how emerging technologies like generative AI and automated public services can be ethically integrated to solve real-world problems, such as economic inequality and administrative inefficiency.

Seminar details

This video features Round Table 3 of the annual conference hosted by the Social Sciences Universities Network (SSUN), focusing on the trends for the digital economy. Chaired by Professor Sil Young Deng from Renmin University, the session brings together international scholars to discuss the intersection of data science and social sciences. The panel covers a diverse range of topics, including global digital trade regulations, the impact of AI on financial markets (hedge funds), the digitization of public services in Italy, and the role of AI in professional coaching and psychology.

Source: FGV {Youtube]

Seminar suitable for

  • Automotive
  • Data Science & Analysis
  • Deep Learning
  • Others

Key topics covered

- Digital Trade Integration (DTI)

- AI and Hedge Funds

- Digitisation of Italian Public Services

- AI Coaching (Coach Vichy)

- The Uncanny Valley Effect

Seminar content

The seminar is readily available, allowing learners to start and complete it at their own pace.

1 lectures1 hr 39 min
  1. SSUN Annual Conference: Social Sciences and Data Science
    99 min

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