Letter to our applicants


Dear applicants,

the AniMove.org courses are usually oversubscribed and we have to select the attending participants. Of course we would love to provide the opportunity to everyone applying, but the facilities that we are using and the resources for a mutually satisfying and effective learning experience are limited. The AniMove.org consortium is a group of research scientists, more precisely friends and esteemed colleagues, of various institutions who donate their time to teaching these courses. Their incentive is to foster a community of people interested in the same research questions and invoke collaboration and participate in creating an inspiring experience. As long as they support the courses with their time and dedication to teaching the latest skills and knowledge and interacting with everyone present at the course, the courses can continue to exist on a not-for-profit basis. From the past courses’ experience: you can expect that there will be 4 times more applicants than we can invite to participate. Two things are thus important: your application and understanding how the selection procedure works.

We ask everyone to submit an application. We would like to assess how the course, you as an academic personality, and your research topic in particular the questions that you are trying to answer and the data that you have collected to do so, fit together. Thus, every application to animove.org will be assessed in terms of matching by 4 tutors independently. The average of these 4 assessments will be used to prioritize invitations to the course. The course requires a high level of R programming skill. This is clearly not a course to start learning to program. Your time (and actually the other participants’ time too) would be wasted if you had to struggle with the basics of R programming. The better your programming skills, the more you can focus on content and theory of remote sensing and movement data anaylsis. Understand this course as a two weeks workshop to work on data analysis at a high level. Consequently, in your application we try to assess how much previous R programming experience you possibly have had and how clearly you have identified your research questions.

We also try to prioritize previously declined re-applications, unless it is clear that you do not fit in the course, we would like to ask you to indicate explicitly in your application should you have applied to a course before and not been invited.

Should you receive a negative answer, please do understand that we are very sorry. Given the limitations we are facing, we try to make the best use of the resources we have available, and we try to be considerate with the use of time, money and (yours and the tutors’) and we simply can not invite everyone to the course, as much as we would love to do so. We are working towards making the lessons available online, but as we are just a bunch of research scientists coming together to teach we lack the resources to record, edit and put online our courses.

If you have any question, please do not hesitate to ask.

Application submission

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