Past events 2018

Location: Möggingen/Radolfzell

Social Network Analyses

Social Network Analyses
  • Start: Jan 10, 2018
  • End: Jan 12, 2018
  • Speaker: Dr. Damien Farine
  • Damien Farine started as a Primary Investigator at the Max Planck Institute for Ornithology in December. Damien specialises on using quantitative approaches for studying the evolution and maintenance of sociality. He has been involved both in the developed of quantitative tools and their application in a range of empirical studies. His research on birds (both in wild and in captive experiments) and wild baboons uses simultaneous tracking of animal groups to gain insight into mechanisms that underpin the formation of social networks and the evolutionary consequences of group living.
  • Location: Möggingen/Radolfzell
  • Room: Seminar Room
  • Contact: snaworkshop@orn.mpg.de
Social network analysis is becoming a widely used tool for studying social behaviour of animals. However, getting started with animal social networks is often challenging and this half-day student conference + workshop will give a first insight in social network analysis. [more]

Statistics Module 3: Generalised linear models and generalised linear mixed models

Statistics Module 3: Generalised linear models and generalised linear mixed models
Generalised linear models and generalised linear mixed models: Binomial model, Poission model, GLMM and work on own data [more]

Getting Published & Understanding Peer Review

Getting Published & Understanding Peer Review
Learning to write and respond to reviewers' comments are vital skills for early-career researchers to master if they wish to become established scientists. However, these skills are often neglected, forcing researchers to learn them by trial and error. By learning to address reviewers' comments, young researchers not only increase their chances of getting their work published but also learn to think critically about their own research. Equally, by becoming better reviewers, researchers can raise their profiles with journal editors. Becoming an invited reviewer for a prestigious journal is an opportunity for researchers to enhance their academic reputation and improve their career prospects. [more]

Statistics Module 3: Generalised linear models and generalised linear mixed models

Statistics Module 3: Generalised linear models and generalised linear mixed models
Generalised linear models and generalised linear mixed models: Binomial model, Poission model, GLMM and work on own data [more]
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