My background and possible connections with the Learning and Instruction Lab

rich-ramsey.github.io/talks/li-lab-25/

Richard Ramsey
www.rich-ramsey.com

Today

  • Brief biography
  • Past research interests
  • Motivating context
  • Data science
  • Opportunities with the Learning and Instruction Lab

Brief biography

Life

Academic biography

Position Degree/Research Theme Year Place
BSc. Sport & Exercise Science 2001-2004 Birmingham, UK
PhD Sport Psychology & Cognitive Neuroscience 2004-2008 Birmingham, UK
Postdoc Social & Cognitive Neuroscience 2007-2011 Nottingham, UK
Postdoc Social & Cognitive Neuroscience 2011 UCL, Belgium
Lecturer, Senior Lecturer, Reader Social & Cognitive Neuroscience 2011-2019 Bangor University, UK
Associate Professor Social & Cognitive Neuroscience 2020-2023 Macquarie University, Australia
Senior Scientist Social & Cognitive Neuroscience 2023- ETH Zurich

Relevant experience

  • Balanced academic roles
    • research, teaching and leadership
  • 10 PhD students to completion as PI
  • 5 postdocs
  • Grant funding
  • Teaching (20+ years in higher education)
    • sport psychology, cognitive neuroscience, methods & meta-science
  • Leadership
    • PhD committee chair

Past research interests

Past research interests

Person perception


Imitation

Loneliness

Observational learning

Neuroaesthetics

Behaviour

fMRI

Metascience

Theoretical work

Computational modelling

Motivating context

Wheel of death

(Munafò et al. 2017)

Towards a cumulative science?

(Munafò et al. 2017; Ramsey 2020, 2021)

Who does the following?

✋ = sometimes | ✋✋ = routinely

  • Shares data
  • Shares code
  • Performs code review
  • Shares materials
  • Pre-registers experiments
  • Uses version control (e.g., git)
  • Consults a statistician
  • Pre-prints papers
  • Replicates their own work
  • Uses formal theory

Data science

Data science

R for Data science


  • R for Data Science
  • A free, online book: https://r4ds.hadley.nz/
  • Or buy the hard copy
  • This should be your data science bible

Reproducible data science


  • No Excel sheets !
  • Instead:
  • A raw data file (i.e., trial level data with no exclusions).
  • An analysis script (or set of scripts)

Openness


Open Science Framework

GitHub

PsyArXiv

Rstats

Reproducible scientific workflows



https://quarto.org/


A tutorial from my lab: https://github.com/rich-ramsey/reproducible_workflow_quarto

Opportunities with the Learning and Instruction Lab

Data science and Rstats

  • Infrastructure and openness (mainly in R).
  • Data wrangling and visualisation
  • Bayesian multi-level regression models
  • Planning studies via data simulation
  • Git and version control
  • Reproducible workflows via Quarto

Learning

  • Get me out of the lab and into the “real world” …
  • How does plasticity in cognitive and brain mechanisms support learning?
  • How do visuo-motor “training” interventions compare to learning interventions?
  • Can questions and measures be motivated by cognitive neuroscience (e.g., group bias, observational learning etc.)?
  • Can we kick-start a conversation about new projects?

Acknowledgements

  • Inez Greven
  • Emily Butler
  • Andrew Wildman
  • Ionela Bara
  • Chris Byrne
  • Kohinoor Darda
  • Dace Apšvalka
  • Kohinoor Darda
  • Raphaël Fournier
  • Paul Downing
  • Emily Cross
  • Rudi Coetzer
  • Eliane Deschrijver
  • Rob Ward
  • Richard Binney
  • Dave Kaplan
  • Sam Parker
  • Sven Panis

And here’s my stuff


References

Kruschke, John. 2014. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan. Academic Press. https://books.google.com?id=FzvLAwAAQBAJ.
McElreath, Richard. 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. CRC press.
Munafò, Marcus R., Brian A. Nosek, Dorothy V. M. Bishop, Katherine S. Button, Christopher D. Chambers, Nathalie Percie du Sert, Uri Simonsohn, Eric-Jan Wagenmakers, Jennifer J. Ware, and John P. A. Ioannidis. 2017. “A Manifesto for Reproducible Science.” Nature Human Behaviour 1: 0021. https://doi.org/10.1038/s41562-016-0021.
Ramsey, Richard. 2020. “Advocating for the Credibility Revolution.” Cognitive Psychology Bulletin 5. https://doi.org/10.53841/bpscog.2020.1.5.70.
———. 2021. “A Call for Greater Modesty in Psychology and Cognitive Neuroscience.” Collabra: Psychology 7 (1): 24091. https://doi.org/10.1525/collabra.24091.
Winter, Bodo. 2019. Statistics for Linguists: An Introduction Using R. Routledge. https://books.google.com?id=8cbADwAAQBAJ.

Resources