Das BayCEER-Kolloquium ist eine interdisziplinäre Plattform für Studierende, Wissenschaftler*innen und Interessierte: I.d.R. wöchentlich (in der Vorlesungszeit) werden Vorträge im Themenfeld Ökologie und Umweltwissenschaften gehalten, die anschließend im Plenum und in lockerer Atmosphäre während des Postkolloquiums diskutiert werden können. Gerne kann das Mittagessen mitgebracht werden (Brown Bag Lunch).

Programm Kolloquium Winter 2023/24
(PDF) **** Kolloquiums-Newsletter für Interessierte **** Hinweise für Vortragende **** Hinweise für Einladende (PDF)

 

Terminplanung kommende Semester und Vortragsarchiv BayCEER Kolloquium

Vortragsreihe Ökologie und Umweltforschung SS 2022

Alle Termine
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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Aktuelle Termine


BayCEER-Kolloquium:
Do. 18.04.2024
The Canvas of Change: Creative Marketing for Behaviour Change, Sustainability and Social Good
Do. 18.04.2024
Survival, 'dormancy', and resuscitation of microorganisms in water-limited environments: insights from coastal salt flats and desert soil crusts
BayCEER Short Courses:
Di. 16.04.2024
Geographical information system and R environment for conservation biology
Ökologisch-Botanischer Garten:
So. 07.04.2024
Führung | Talking Tree: Was Bäume über´s Klima erzählen
Fr. 19.04.2024
Führung | Gesteine im Ökologisch-Botanischen Garten
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