Data Science Seminar - Sustainable Development

DSS - AI (r)evolution
  • 31 Oct 2023
  • 15:45–20:00
  • University of Tartu Delta Study Building room 1037
Seminar

The Data Science Seminar took place on October 31st, 3:45 – 8 p.m. Estonian time on the topic of sustainable development.

The seminar focused on minimizing climate change through hi-tech solutions, accurate data collection and management, the advantage of optimized complicated energy systems, and getting the maximum benefits out of afforestation.

Recording of the event

Gallery of the event


Programme in detail:

15:45 - Gathering and coffee

16:15-17:30 - Session I (moderated by Meelis Kull)

16:15 - Data for nature conservation and restoration: new tools and opportunities Aveliina Helm, Professor of Restoration Ecology, University of Tartu, Institute of Ecology and Earth Sciences
16:40 - Uncertainty estimation in Estonian forest inventory Kalev Pärna, Professor Emeritus, University of Tartu, Institute of Mathematics and Statistics
17:05 - The new forest economy Kristjan Lepik, CEO & Co-Founder of Arbonics

17:30 - Coffee break

17:30-19:00 - Session II (moderated by Ardi Tampuu)

17:45 - Wonderful Radar – Rich View Through Clouds Tauri Tampuu, Research and development manager, SAR expert, and Kaupo Voormansik, SAR expert, CEO of KappaZeta Ltd
18:10 - Personalized optimization in electric power system Kirill Grjaznov, Data Scientist, and Arko Kesküla, Data Scientist, STACC
18:35 - Low-cost sensing for environmental sustainability Huber Flores, Associate Professor of Pervasive Computing, University of Tartu, Institute of Computer Science

19:00 - Networking


Organisers:

Prof. Jaak Vilo
Data Science Chair
Institute of Computer Science
University of Tartu

[email protected], +372 50 49 365 (Jaak Vilo)
[email protected],+372 737 6402 (Carolin Siimenson)

  • 31 Oct 2023
  • 15:45–20:00
  • University of Tartu Delta Study Building room 1037
Seminar
More information
Jaak Vilo
PhD (Computer Science)
Faculty of Science and Technology
Institute of Computer Science
Head of Institute
r 3119
Institute of Computer Science
Chair of Data Science
Head of Chair, Professor of Bioinformatics, Academician, Programme Director for Data Science master
r 3119
+372 737 5483
Carolin Siimenson
PhD (Chemistry)
Faculty of Science and Technology
Institute of Chemistry
Specialist for Health and Safety
Ravila 14a