Past Courses

The workshop covered important concepts and practical tools to improve computational reproducibility in practice:

• Version control with Git - track changes, share and publish your code and documentation
• Dynamic reporting with Quarto - use documents with executable code, text, figures and results for more reproducible analysis workflows
• Theory, live demos and use cases from actual projects

Rachel Heyard, Fabio Molo, Eva Furrer
Dates: Nov. 29, Dec. 6, Dec. 13, 2024
Dates: Nov. 24, Dec. 1, Dec. 8, 2023, link to material
Offered by the PhD Programs in Social Sciences, Psychology, Linguistics, Educational Science etc.
Link to lecture catalogue entry

Eva Furrer, Rachel Heyard
Dates: Dec. 5, 9 and 15, 2022, link to material
Offered by the PhD Program in Social Sciences for students from Psychology, the Social Sciences, Linguistics, Educational Science etc.
Link to lecture catalogue entry

• Strength of Evidence
• Hypothesis Tests and Confidence Intervals
• One-sided versus Two-sided Tests
• Error Rates

• Error Rates
• Sample Size for a Continuous Outcome
• Sample Size for a Binary Outcome
• Sample Size Calculation Based on Precision

Eva Furrer, Rachel Heyard
Dates: Oct. 2 & March 11, 2023, April 8 and Oct. 7, 2024, link to material
Teamwork on Digital Transformation Challenges, DSI

Rachel Heyard
Date: March 08, 2023, link to material 
IfB Doctoral Colloquium, ETH Zurich 
Date: Oct. 5, 2022, link to material 
BioMed-PhDday2022 at USI, Lugano 

With the advent of ever more data, in science but also in society in general, transparent and rigorous processes that turn data into potentially actionable evidence are indispensable. In an attempt to increase transparency, reproducibility and societal benefits of scientific results, research universities worldwide and UZH in particular are transitioning to Open Science (OS) as the default mode of operation.

The CRS together with the Open Science office of UZH participate in the university-wide teaching project DISK4U in order to provide adequate training in the relevant digital skills for OS. This offer will helps to smooth the transition, to attain OS and reproducibility goals at UZH and to empower our lecturers and students in all disciplines.

Two courses are offered to bachelor and master students:

5 Steps to Good Data Science Practice in R

Publishing Personal and Sensitive Data (together with the Open Science Services)

An introductory course has been made available as an Open Educational Resource:

Understanding Open and Reproducible Science

We participated in the creation of an online game on Open Science and the accompanying advice on how to incorporate it in teaching:

Open up your research

What is Open Science

In Fall 2022 we offered a special course for lecturers: Using version control with Git and Gitlab in a teaching context. This course helped lecturers implement our advice from the Teaching tool

Teaching with git.

We created a teaching tool entry concerning containerization

What is Docker and how can you use it in your course?

Rachel Heyard, Eva Furrer

Four training events:

• May 6, 2024 at UZH and at ETHZ
• May 31, 2024 at the University of Bern
• Jun3 7 , 2024 at the University of Geneva

In the data management workshop, we covered questions such as (1) How to best manage your data and research projects?, (2) What are the FAIR principles?, and (3) How can good meta data and documentation improve your research output? In the practical part, participants got a first taste of version control using Gitlab. Link to Material

Rachel Heyard
Date: Nov. 23, 2023, link to material
Within the Workshop “Having the bird’s eye view: Introduction to metascientific research practices” at UZH

Eva Furrer
Dates:
      Oct. 3, 2023, link to material,
      July 1, 2022, link to material
Best Practice for excellent in vivo research (Continuous education for animal researchers)

Rachel Heyard
Date: Sept. 11, 2023, link to material
Open and Reproducible Practices for Experimental Research Summer School - EPFL

Benjamin Ineichen, Marianna Rosso, Simona Doneva, Rachel Heyard
Dates: Aug. 28 - 31, 2023, link 
STRIDE Lab Summer School

Eva Furrer
Date: May 9, 2023, link to material
Big Data in Public Health course by SSPH+

Eva Furrer
Date: May 18, 2022, link to material
Big Data in Public Health course by SSPH+

Eva Furrer
Date: May 18, 2021, link to material
Big Data in Public Health course by SSPH+

Eva Furrer
Date: Aug. 18, 2020, link to material
Big Data in Public Health course by SSPH+  

• Randomized controlled trials with parallel groups
• Crossover trials with continuous outcomes
• Analysis with a t-test
• Analysis with mixed models
• Carryover effect
• Sample size calculation
• Binary outcomes

Eva Furrer, Rachel Heyard 
Date: July 11, 2022, link to material 
Date: Aug. 24, 2020, link to material 
Open Science Summer School

Eva Furrer
Date: Aug. 24, 2020, link to material
Open Science and Open Data summer school by GRC and HBZ 

Eva Furrer, Rachel Heyard
Dates: March 11, 18 and 25, 2022, link to material
Offered by the PhD Program in Psychology for students from Psychology, the Social Sciences, Linguistics, Educational Science etc.
Link to lecture catalogue entry

Eva Furrer
Date: Sept. 9, 2021, link to material 
Continuous education for animal researchers (LTK14)

Simon Schwab
Date: April 15, 2021, link to material
USZ seminar series 2021: Applied Machine Learning in Diagnostic Imaging

Eva Furrer
Date: Nov. 26, 2020, link to material
Open Science Workshop at IKMZ

Simon Schwab
Date: May 11, 2020, link to material
Research Ethics for Life Scientists  (BIO630)

Simon Schwab
Date: May 8, 2020, link to material
PhD Retreat of the Neuroscience Center Zurich 

Simon Schwab
Date: May 6, 2019, link to material
Molecular life sciences PhD Programme

Eva Furrer
Date: Dec. 6, 2018, link to material
Molecular life sciences PhD Programme

Simon Schwab
Date: Feb. 15, 2019, link to material
Department of Economics