Free workshop: Introduction to Basic and Advanced Statistical Modelling

For more information about this course and other Leibniz-IZW Academy training opportunities offered by the Leibniz Institute for Zoo and Wildlife Research, please visit our website:

https://www.leibniz-izw-akademie.com/seminare/introduction-to-basic-and-advanced-statistical-modelling

If you have any questions regarding the application process, please do not hesitate to contact Dr. An Nguyen: an.thetruongnguyen@gmail.com 

This course is intended for Master’s students, PhD students, and early-career researchers and will take place on site (in person) at the Institute of Advanced Technology, Ho Chi Minh City, Vietnam.

Places will be allocated based on a selection process that considers the information provided in this application including the applicant’s CV.

Please complete all required fields carefully. Application Deadline: 30th May 2026

Due to the hands-on nature of the training, seats are strictly limited. A waiting list will be maintained in the event of cancellations. (If you are unable to attend the course, please inform us as soon as possible so that your place can be offered to another participant.)

The course is divided in two modules. Please ensure that, when applying, you are able to attend both modules.

Dates:

Trainers: Dr. Alexandre Courtiol*, Dr. Rahel Sollmann* Facilitator: Dr. An Nguyen*

* Leibniz Institute for Zoo and Wildlife Research

Main objectives of the course:

This course aims to develop participants’ foundational and intermediate statistical skills in R, with a focus on wildlife research using camera-trap data. It equips participants with the tools to implement hierarchical models, particularly community occupancy models, and to independently analyse detection and non-detection datasets. A key goal is to enable participants to apply these approaches directly to their own research data.

The course is divided in two modules. Please ensure that, when applying, you are able to attend both modules.

Motivation Statement

Please provide a short motivation statement (approx. 150–250 words) explaining:

• why you would like to participate in this course
• how it relates to your current research or work
• what you hope to gain from the training

A computer with sufficient processing power (e.g. Intel Core i7, AMD Ryzen 5 or equivalent) and sufficient RAM (e.g. 4 GB, 8 GB, 16 GB), capable of running R and handling large ecological datasets, is required for participation in this course.

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