About the Boot Camp
The 10-day Boot Camp is designed by experienced field researchers to specifically deal with wildlife data and is intended for those involved in wildlife research using techniques such as presence/absence surveys or mark-recapture - or those who need to understand the results of this research. Bayesian approaches for data analysis are strongly emphasized. Key topics covered are: introduction to Binomial and Poisson distributions, Bayesian analysis, Akaike's Information Criterion (AIC), Maximum Likelihood Estimation, Spatially explicit capture-recapture (SECR). Teaching methods are very hands-on and through exploration and experimentation. The ten days are full of practical activities, where participants generate their own data and then analyze it.
The workshop is primarily aimed at PhD students and anyone who is involved in research or analysis of field-collected data for wildlife management or conservation. You should know the basics of R, but the instructors assume you've forgotten most of the stats you learnt at university! If you need to learn the R basics, we offer a “Gentle Introduction to R” course May 4 – 6 that you can register for in the same registration form.
Participants should have a background in field biology, as that's where the examples come from. We will assume familiarity with the use of computers - and in particular spreadsheets - and we'll ask you to bring a notebook computer to the course.
May 14-25, 2020 (10 days of workshops with two one-day breaks; May 17 and 21).