2018
Women in Science Workshops
Project management in academia
1 February 2018 (full day)
Instructor
Anna Royon-Weigelt (GOLIN Wissenschaftsmanagement, Hamburg, D)
Outline
New, time limited and complex – such are the tasks generally undertaken as projects. Project management competencies are nowadays also in the academic sector a decisive factor for the successful work of scientists. Proven project management tools pave the way for the professional development and planning of projects, for competent guiding of their implementation and for their successful completion. With the help of these tools even difficult steps in the project journey can be safely navigated. The participants will familiarise themselves with the most important project management methods and instruments. The following topics are at the core of the workshop:
- Basics of project management: From design to completion of a project
- It is all about direction: Setting objectives for my projects
- How to handle the unforeseen: Strategies for dealing with difficulties
- Projects in the higher education sector: What are the idiosyncrasies of academia?
- Strengthen your strengths! How can I exploit the strengths of my project?
- Stakeholder analysis: Where do I find support for my project?
- Typical woman!? Gender specific strengths and strategies
- Project management: My next steps
Team work & leadership in academia
2 February 2018 (full day)
Instructor
Anna Royon-Weigelt (GOLIN Wissenschaftsmanagement, Hamburg, D)
Outline
Hierarchies in the academic sector are often less clearly structured than in business. But does this mean that leadership is of no interest for young researchers? Not at all, science needs leadership competencies as well, e.g. when supervising students and younger co-workers or when co-operating with other scientists. With sound knowledge of leadership, team dynamics can be optimized and situations of conflict better managed. New recruits can therefore grow with their leadership role and constructively work with their colleagues. The participants will be introduced to the most important leadership styles and techniques and will acquire knowledge of the methodical approach to leadership tasks. The following topics will be covered:
- Basics of team work & leadership: An overview of leadership tasks and styles
- My leadership profile: Stocktaking of my key skills
- Ambiguous hierarchies: What does leadership mean in academia?
- Manager-employee discussions as a leadership tool: Setting common objectives
- Role change: Staff member – colleague – boss
- Typical woman!? Gender specific strengths and strategies
- Team work & leadership competencies: My next steps
Post-Spring School Workshops
Bayesian Inference
21 March 2018 (full day)
Instructors
Sebastian Bitzer, Dimitrije Markovic, Dario Cuevas Rivera & Sarah Schwöbel (Faculty of Psychology)
Outline
The workshop will cover the basics of probability theory and Bayesian statistics. We will use this framework to explain cognitive models and Bayesian data analysis, including model evidence and model comparison. The theoretical basics will be supplemented by a hands‐on practical part, where we will model and analyze a simple example experiment.
Multivariate Pattern Analysis (MVPA)
22 March 2018 (full day)
Instructors
Holger Mohr & Katharina Zwosta (Faculty of Psychology)
Outline
The workshop on Multivariate Pattern Analysis (MVPA) will consist of two parts, a theoretical introduction on the basic principles of the multivariate analysis approach and a practical session where an exemplary fMRI dataset will be analyzed. In the theoretical part, the basic concept of classification will be introduced together with related concepts like cross‐validation and hyperparameter selection. Moreover, with a focus on fMRI data, various options for feature construction and selection will be discussed. Spatial feature selection will cover topics like searchlight analysis, ROI‐based analysis, and whole‐brain analysis, while the discussion of temporal feature construction will mainly concern the impact of different experimental designs (block design, event‐related design) on MVPA. The theoretical part will conclude with a brief primer on the encoding model approach. In the practical session, a Matlab‐based MVPA toolbox (TDT) will be used to analyze an exemplary fMRI dataset on auditory stimulation. In addition, the searchlight analysis will be complemented by a whole‐brain MVPA approach that will be scripted in Matlab from scratch during the workshop. For active participation in the practical session, a laptop with a working Matlab license and internet access (e.g. eduroam) are required.
Introduction to Python
23 March 2018 (full day)
Instructors
Felix Knorr & Dirk Müller (Faculty of Medicine)
Outline
The workshop will give an introduction into Python. There will be two parts, the topic of the first part will be the basics of the language. After short theoretical presentations, participants will get hands‐on experiences to get to know Python. The second part will consist of a more realistic example by creating a parser for presentation‐logfiles. In the end, an overview of different libraries for scientific computing will be given. Participants are required to have a basic Matlab‐knowledge. Please bring a laptop with you, the installation of the necessary software will be part of the workshop.
Additional workshops
Good Scientific Practice and Research Data management
23 February 2018 (full day)
Instructors
Michael Höfler (Faculty of Psychology) & Ralph Müller-Pfefferkorn (ZIH)
Outline
In the morning, Michael Höfler, the Faculty’s official coach für Good Scientific Practice, will provide you with an overview on the issue including case examples and best-practice recommendations. After lunch, Ralph Müller-Pfefferkorn from the ZIH and the INF project will hold a crash course on the closely related topic Research Data Management. Please bring along a laptop!
Write like a Pro:
How to get started, organised, finished – and succeed with your texts
6 April & 4 May 2018 (full day)
Instructor
Natalie Struve (Murnau, D)
Outline
Being a scientist means being a professional writer: for it is through writing that you make an impact and pursue your career. Furthermore, writing is a useful tool in managing a thesis as well as other complex projects. So how can you be more professional about your writing then? We will work on practical methods and techniques that will make your writing life easier, will make your texts easier on their readers, and will help you achieve more in less time. The workshop is split into two parts. It comes with an accompanying wiki to supply you with further information and impulses as well as a place to discuss topics. Please note that you will be asked to take part in all of that, and accomplish 3 – 4 small tasks before and in between workshop days. And be prepared: you will write a lot – and laugh just as much, I hope.
Analysis of linear mixed effect models (LME) with R
23 November 2018 (full day)
Instructor
Fabian Baum (Faculty of Psychology)
Outline
This course will give an inside into the issues of hierarchical data structures and their challenges when it comes to statistical analysis. At the end of the course participants will be able to translate specific exemplary data problems into simple formalized LMEs. Further, they will have an overview over the most common LME types. A strong focus in the course will be on hands-on implementation in R and in the interpretation of the results output regarding both fixed as well as random effect coefficients. Some experience with R syntax may be an advantage but is not mandatory. LME syntax is quite straight forward and simple. As this is not an R programming course, all relevant data and plot scripting will be pre-prepared. This course is a beginners’ course. It is not intended for participants to bring their own data problems into the course to work on them.
PhD Day of the Faculty of Psychology
Not significant, but recognized:
Doing a PhD in times of Open Science and the Replication Crisis
8 October 2018
Organizers
PsyDok PhD Student Initiative of the Faculty of Psychology
Outline
Keynote by Frank Renkewitz (Erfurt, D)
Panel Discussion with:
Frank Renkewitz (Erfurt, D)
Ann-Kathrin Stock (Dresden, D)
Michael Höfler (Dresden, D)
Kai Horstmann (Berlin, D)
Peer Herholz (Marburg, D)
Information booths