Exploring Big Data and AI: A Multidisciplinary Field Trip in Tromsø

Scenic Tromsø with northern lights and modern architecture. Scenic Tromsø with northern lights and modern architecture.

Join a unique opportunity to explore the intersection of big data and artificial intelligence at a field trip organized by the Arctic Graduate School. Scheduled from March 17 to March 21, 2025, this event invites doctoral researchers from the Arctic Six universities to Tromsø, Norway, to deepen their understanding of AI applications in research.

Key Takeaways

  • Event Dates: March 17-21, 2025
  • Location: UiT – The Arctic University of Norway, Tromsø
  • Focus: Big Data and AI Applications in Research
  • Credits: 1.5 ECTS available for participating doctoral researchers
  • Registration Deadline: February 2, 2025

Overview of the Field Trip

The field trip aims to provide doctoral researchers with a comprehensive understanding of how big data and AI can be applied in various research fields. Participants will engage in hands-on activities that cover:

  1. Data Extraction and Analytics: Learn techniques for gathering and analyzing large datasets relevant to your research.
  2. Predictive Analysis: Understand how to use AI to make predictions based on data trends.
  3. Networking Opportunities: Connect with fellow researchers from the Arctic Six universities, fostering collaboration and knowledge sharing.

Financial Support

For doctoral researchers affiliated with the Arctic Six universities, local administration will assist in financing the trip. However, those from outside the consortium will need to cover their own expenses. This support aims to encourage participation and enhance the learning experience.

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Registration Process

Interested participants must register by February 2, 2025. The Arctic Graduate School will provide certificates of completion for those who successfully engage in the field trip activities. This initiative not only enriches the academic experience but also contributes to the development of sustainable practices in the Arctic region.

Conclusion

The multidisciplinary perspectives on big data and AI field trip represents a significant opportunity for doctoral researchers to expand their knowledge and skills in a rapidly evolving field. By participating, researchers can enhance their academic profiles and contribute to the ongoing dialogue about the role of technology in research and development in the Arctic.

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