The project list may be subject to change, but if that happens this page will be updated in accordance.
| Project | Summary | Nº Students | Necessary Skills | Nice to Haves | Students' Autonomy (0-5) |
|---|---|---|---|---|---|
| SciOps | A project template for using cutting-edge computer tooling for next-level organization, collaboration, transparency and automation in research. | 3-5 | Very basic understanding of GitLab; Willingness to contribute under the GPL-v3.0-only license. | git; GitLab CI/CD; Docker; (GNU) Make; Linux, Shell scripting. None of these are necessary just nice-to-haves. | 3 |
| Preregistration vs p-Hacking | A Shiny App designed to illustrate the benefits of a preregistration using simple experimental designs. The aim is to simulate how the type I error (alphha error) changes when there is no preregistration compared to an approach strictly following a preregistration. Click here for more details. | 3-6 | basic R skills; a rough understanding of statistical power and type I error(alpha error) | R / Shiny; | 2-3 |
| Differential evolution | A Shiny app to illustrate differential evolution | 3-5 | R/Shiny skills, elementary calculus | 3 | |
| EM algorithm | A Shiny app to illustrate the EM algorithm | 3-5 | R/Shiny skills, elementary calculus | 3 | |
| Copula for stop signal race model | A Shiny app to illustrate copulas for the race model | 3-5 | R/Shiny skills, elementary calculus | 3 | |
| Copula killing Wall Street | Describe how a copula "killed" Wall Street | 3-5 | elementary copula knowledge | some knowledge of how financial markets work | 4 |
| Plot your data! | A Shiny app to illustrate the importance of plotting data. We will use the Anscombe quartet and data showing the Simpson's paradox | 3-4 | R/Shiny skills, (very) elementary statistics | 3 | |
| Adaptive methods for data collection in psychophysics | Explore how adaptive methods can be setup to gather psychophysical data stemming from non-monotonic psychometric functions. Depending on the number of students involved and their skills either (a) a Shiny app illustrating the workings of these methods or (b) a Markdown page describing how the work can be produced. | 3-4 | Basic probability, good R programming skills, Shiny/Markdown. | Some basic background on psychophysics and simulation techniques are a plus (but not a requirement) | 4 |