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Luomus-SYKE Machine learning seminar II

Want to discuss new things about AI and machine learning in nature conservation and research?

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The Finnish Environment Institute SYKE and the Finnish Museum of Natural History Luomus organize a second webinar together around the topics of the use of AI and machine learning in nature conservation and monitoring, research, collections work, and environmental management.

The meeting will be held online in Teams and is open to everyone. The presentation will be held in English, but questions and comments may also be given in Finnish.

Link to the first webinar (in May 2021) with a video recording

Link to the new Teams webinar: Teams link

Programme

 

12:30 Aino Juslén: Opening words

Instructions: Eeva-Maria Tidenberg

12:40 Vuokko Heikinheimo: Exploring human activities in nature using social media photographs and computer vision

12:55 Louise Forsblom: Species distribution modelling of aquatic species using Boosted Regression Trees

13:10 Mikko Heikkinen: Machine learning for anyone - analyzing text and data

13:25 Tommi Mononen: An active learning approach to analyzing camera trap data

13:40 Alessandro Zito: DNA barcoding methods and new species identification: an algorithmic comparison
 

Short break (20 min), serve coffee to yourself ;)
 

14.15 Laura Ruotsalainen:Deep learning based modelling for sustainability

14:30 Laura Uusitalo: Dynamic Bayesian networks in detecting environmental change

14:45 Laura Kaikkonen: Bayesian Networks for environmental risk assessment

15:00 Nitin Sawhney: Ethics in Urban and Environmental AI: Engaging Global South & Indigenous Perspectives

15:15 Theun Karelse: AI and wild animals, the role of indigenous knowledge, and prototyping in-situ

15:30 Otso Ovaskainen: Synthesis

          Discussion

 

Link to the new Teams webinar: Teams link



Time 2021-11-17 12:30 - 15:30
   
Place In Teams. Link in the event description (bottom)
   
Organizer The Finnish Environment Institute SYKE and the Finnish Museum of Natural History Luomus

Published 2021-11-01 at 15:53, updated 2021-11-04 at 12:17

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