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Vortragsreihe Ökologie und Umweltforschung SS 2022

Donnerstag 12:15-13:45 H8, GEO


Maximilian Pichler
Group for Theoretical Ecology, University of Regensburg (Homepage)
Donnerstag, 28.07.2022 H8/GEO + online:

Machine Learning and Deep Learning - Opportunities and limitations for ecology

The popularity of Machine learning (ML) and Deep learning (DL) has sharply increased in recent years.  In ecology and evolution (E&E), ML and DL are used to process images and other complex data (e.g. for  automatic species identification) or to build predictive models for conservation, biodiversity assessment, and risk estimation. However, despite their recent rise in popularity, the inner workings of ML and DL models are often perceived as opaque. For example, is it still true that ML and DL are good tools for predictions, but statistics remains the choice when it comes to (causal) inference?  Here, I provide an overview of the principles of ML and DL, how these tools differ from traditional statistical tools, and what  that means when applying ML. I then discuss why and when ML and DL models excel, and where traditional statistical methods are preferable, highlighting current and emerging applications for ecological problems. Finally, I summarize emerging trends, particularly scientific and causal ML, that could significantly impact ecological data analysis in the future.

*** invited by BayCEER members Prof. Dr. Lisa Hülsmann, Dr. Magdalena Mair and Dr. Matthias Schott



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DatumVortragende*rTitel
H8/GEO + online
17:15-18:45
28.04.2022
Prof. Dr. Michael Hauhs
Ecological Modelling, BayCEER, UBT
Abschiedsvorlesung Prof. Michael Hauhs: Können Modelle von Ökosystemen interessant und nützlich sein? [Abstract]
H8/GEO
05.05.2022
Prof. Dr. Johanna Pausch
Agroecology, BayCEER, UBT
Tenure track evaluation: Mycorrhizal Fungi and Soil Carbon Storage [Abstract]
H8/GEO + online

12.05.2022
Prof. Dr. Thomas Foken / PD Dr. Johannes Lüers
Micrometeorology, BayCEER, UBT
Oberfranken im Klimawandel [Abstract]
H8/GEO

19.05.2022
Prof. Dr. Nadia Soudzilovskaia
Ecosystem Functioning, Hasselt University, Belgium
Understanding mycorrhizal functions across scales [Abstract]
H8/GEO

02.06.2022
Dr. Alán Rivero Aragón
Department of Biology, Universidad Central Marta Abreu de Las Villas, Cuba
Cuban biodiversity facing climate change [Abstract]
H8/GEO + online

09.06.2022
Prof. Dr. Heike Feldhaar / Thomas Pickel
Animal Ecology I, Animal Population Ecology, BayCEER, UBT / Die Summer e.V.
Insektenrückgang - Stand der Forschung / Best Practice - Urbane Insektenbiotope [Abstract]
H8/GEO

23.06.2022
Prof. Dr. Christine Stumpp
University of Natural Resources and Life Sciences, Vienna, Department of Water, Atmosphere and Environment, Institute of Soil Physics and Rural Water Management, Muthgasse 18, 1190 Vienna, Austria
Quantification of Soil Water Fluxes - Challenges and Opportunities [Abstract]
postponed to winter '22/23

30.06.2022
Dr. Meghna Krishnadas
Laboratory for Conservation of Endangered Species Centre for Cellular and Molecular Biology, Hyderabad, India
Postponed to WS 22/23: Plant diversity in a changing world: from individuals to communities [Abstract]
postponed to winter '22/23

07.07.2022
Prof. Dr. Martin Volk
Computational Landscape Ecology, UFZ - Helmholtz Centre for Environmental Research, Leipzig / Institute for Geoscience and Geography, Martin-Luther-University Halle-Wittenberg
Postponed to WS 22/23: Preserving ecosystem services and biodiversity on agricultural land [Abstract]
H8/GEO + online

21.07.2022
Prof. Dr. Lisa Hülsmann
Ecosystem Analysis and Simulation, BayCEER, UBT
Why forests appear the way they do: Insights gained from models and data [Abstract]
H8/GEO + online

28.07.2022
Maximilian Pichler
Group for Theoretical Ecology, University of Regensburg
Machine Learning and Deep Learning - Opportunities and limitations for ecology [Abstract]
Terminplanung und Vortragsarchiv BayCEER Kolloquium (seit 2008) sowie Geoökologisches Kolloquium (ab 2001)
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