Postponed - due to the Corona Crisis we have to postpone the workshop. The new date will be communicated soon!</p>
When: March 31 - April 02, 2020
Where: University of Zurich, Irchel campus
Who: PhD students and postdocs interested in ecology and statistics. The participants should have basic knowledge of R and statistics and a keen interest in Bayesian thinking.
**Format:** The workshop is centered around two activities: i) Expert lectures, followed by hands-on sessions; ii) Collaborative project, in which groups of 3-5 participants perform a novel (Bayesian) analysis, under supervision of an instructor providing a dataset.
**Description:** The goal of the workshop is to bring together scientists from ecology and statistics in an interdisciplinary educational event with high-level expert contributions and a focus on learning-by-doing that results in the creation of scientific output.
The workshop combines two timely topics. The need for ecological research is pressing in the face of climate change, biodiversity loss and other symptoms of the global ecological crisis we are experiencing. Thorough decision-making requires thorough research, enabled by sound, but also novel methods, allowing scientists to extract relevant information from a growing amount of data. Bayesian statistics have received increasing attention, offering innovative applications and alternative developments to more traditional, frequentist approaches.
We will explore the philosophy of Bayesian statistics and how it can be employed to gain new insights into ecological questions. Rather than providing an overview of all possible applications, we aim to let participants experience what it means to think Bayesian and how to successfully apply Bayesian methods in new and creative ways. Experts in the field will illustrate theory and concepts with selected applications. The aim of the workshop is to initiate collaborative projects among participants and instructors leading to scientific output.
In this workshop, we promote transparent and reproducible science and the use of appropriate software. Course material will be provided on Git, the statistical software R will be most prominent throughout the workshop.
**Organizing committee:** Leila Schuh, Dorothea Hug Peter, Frank Pennekamp, Anubhav Gupta, Maarten Eppinga and Oliver Reader
**Questions and further Information:** Contact us via Twitter DM or by E-mail
Official announcement in the Vorlesungsverzeichnis
**Funding Acknowledgement:** Funding by the UZH Graduate Campus via a GRC Grant is gratefully acknowledged
**Note: Application is closed due to large number of applications for the course.**
How to apply:
The applicant needs to submit the application using the form below and also send an email to phdecology(at)ieu.uzh.ch. We will get in touch to confirm your application. PhD students from the University of Zurich will be given priority.
**Cancellation policy:** Cancellation after February 27th will incur a fee of CHF 230. Failure to attend the course without prior cancellation (at least 4 working days before course start) is charged with a fee of CHF 300. All participant cancellations are to be arranged with the coordination office at phdecology(at)ieu.uzh.ch. Incomplete attendance without documented justification will be charged CHF 60 per missed day.
||Florian Hartig (University of Regensburg, Germany)
||Colin Averill (ETH, Zurich, Switzerland)
||Stefanie Muff (Norwegian University of Science and Technology, Norway)