Room: MPIO Radolfzell Host: IMPRS for Organismal Biology

Oral Presentation Workshop

The participants will train oral scientific presentations. [more]
Which tracking devises for which questions and which animals? [more]

Linear Models and Linear Mixed Models with R (Module 2)

day 1: LM (linear regression, multiple regression, ANOVA, ANCOVA, least-square method, parametrisation, interactions, tests (marginal and sequential), model selection, model assumptions, predictions); day 2: LME (linear mixed models, maximum likelihood, restricted maximum likelihood, random and fixed effects, likelihood ratio test / bootstrap, random slopes-random intercept models, depending on participants further model types); day 3 LME (Bayesian way of fitting a linear model, model matrix, simulating posterior distributions of model parameters, predictions, posterior probabilities of hypotheses, preparing data for work on own data); day 4: projects (work on own data and presentations) Requirements Modul 1, basic knowledge in statistics [more]

Generalized Linear and Generalized Linear Mixed Models with R (Module 3)

day 1: binominal model (repetition LM, logistic regression, binomial model, tests, model assumtions, overdispersion, predictions); day 2: poisson model (poisson model, tests, model assumptions, overdispersion, predictions, depending on participants: zero-inflation, mixture models); day 3 GLMM (including random effects, Bayesian way of fitting a model, glmer-function and MCMCglmm-finction, depending on participants: introduction to WinBUGS and further mixture models); day 4: projects (work on own data and presentations) Requirements Modul 1 and 2, basic knowledge in statistics, linear models (ANOVA) and linear mixed models [more]

Conference Presentation Techniques    

This is an activity-based workshop led by theatre professionals whose expertise is in helping the speaker effectively communicate the importance and relevance of the work and the core message in the talk. Repetition is a key aspect of the training so that participants can strengthen the narrative, the emotional tone, and the physicality of the talk in order to def ine and support the speaker’s own dynamic style. Description The seminar provides participants the opportunity to perfect their public-speaking skills. Constructive feedback from the trainer and group members as well as videotaping give the speaker a healthy amount of input while perfecting public-speaking skills. Participants will be required to prepare a 3 to 5 minute pitch or overview of their work incorporating also the use of a slide. This will provide a basis for applying the practical aims of the workshop. Throughout the three day workshop, participants will be guided through interactive exercises to improve nonverbal communication, improve the ability to listen and react generously, and to integrate focusing techniques which empower the speaker. There will be two videotaping sessions (on the second and third days) in this advanced workshop, as well as further in depth role play regarding the topic of dealing with challenging Q&A sessions. Contents in brief - Concisely introducing yourself: practice your “pitch” - Engaging the audience in one’s talk - Aff irming the strengths and individual style of the speaker - Improving body language - Effectively promoting oneself - Develop strong tactics for effective communication - Receiving video-feedback Methods - voice and body techniques - partner work/role-play - language practice and analysis - improvisation, videotaping and feedback [more]

Experimental Design

Day 1: Indroduction Introduction o experimental design theory (difference between experiment and observation, confounding, importance of randomisation, types of experimental designs, implications for data analysis, power; practical: randomization with the software R, simple power calculations); Day 2: Applications - Each participant is asked to send a description of one planned experiment (or one running experiment if none is planned) to steffi.vonfelten@oikostat.ch until 30. September 2013 (e.g., drawing of the spatial layout and text description, what measurements are taken and when?). Course participants will present the design of their own experiments. Each experimental design will be discussed in class and will also receive some feedback by the course teacher. Prerequisite for participation: basic knowledge of statistics and the software package R would be an advantage but is not absolutely required. [more]

Generalized Linear and Generalized Linear Mixed Models with R (Module 3)

Day 1: Binomial model (refreshing LM and LMM, introduction Bayesian data analysis, logistic regression, binomial model, tests, model assumptions, overdispersion, predictions); Day 2: Poisson model (tests, model assumptions, overdispersion, predictions, depending on participants wishes: zero-inflation, mixture models); Day 3: GLMM (including random effects, glmer-function and MCMCglmm-function, depending on participants wishes: introduction to WinBUGS and further mixture models); Day 4: work on own data and presentations [more]

Scientific Writing

This two-day workshop enables life scientists to to write clearly and with impact! The participants learn how to construct a “take-home” message that tells the story of their research, choose words that communicate their science clearly, and structure their paper into a flowing narrative. [more]

Conference Presentation: Engaging the Listener in Your Talk

This is an activity-based workshop led by theatre professionals whose expertise is in helping the speaker effectively communicate the importance and relevance of the work and the core message in the talk. Repetition is a key aspect of the training so that participants can strengthen the narrative, the emotional tone, and the physicality of the talk in order to def ine and support the speaker’s own dynamic style. Description The seminar provides participants the opportunity to perfect their public-speaking skills. Constructive feedback from the trainer and group members as well as videotaping give the speaker a healthy amount of input while perfecting public-speaking skills. Participants will be required to prepare a 3 to 5 minute pitch or overview of their work incorporating also the use of a slide. This will provide a basis for applying the practical aims of the workshop. Throughout the three day workshop, participants will be guided through interactive exercises to improve nonverbal communication, improve the ability to listen and react generously, and to integrate focusing techniques which empower the speaker. There will be two videotaping sessions (on the second and third days) in this advanced workshop, as well as further in depth role play regarding the topic of dealing with challenging Q&A sessions. Contents in brief - Concisely introducing yourself: practice your “pitch” - Engaging the audience in one’s talk - Aff irming the strengths and individual style of the speaker - Improving body language - Effectively promoting oneself - Develop strong tactics for effective communication - Receiving video-feedback Methods - voice and body techniques - partner work/role-play - language practice and analysis - improvisation, videotaping and feedback [more]

Statistic Module 4: Own data workshop

day 1: 2-3 Short inputs depending on participants projects short presentation of participants projects day 2 and 3: guided work on own project day 3: presentations of projects prerequisite for participation basic knowledge in statistics, participation in at least 2 of the Modules 1 – 3. Participants bring their own data. They are requested to send a short description of their projects to the teachers at least one week before the start of the workshop. [more]
Day 1: Binomial model - refreshing LM and LMM - introduction Bayesian data analysis - logistic regression, binomial model - model assumptions, overdispersion - tests, predictions Day 2: Poisson model - Poisson model - model assumptions, overdispersion - tests, predictions - depending on participants wishes: zero-inflation Day 3: GLMM - including random effects - glmer-function - depending on participants wishes: introduction to WinBUGS and more complex models Day 4: projects - work on own data and presentationsPrerequisite for participationModul 1 and 2, basic knowledge in statistics, linear models (ANOVA) and linear mixed models [more]
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