Oxford Reproducibility Lectures: Florian Markowetz

The Oxford Reproducibility Lectures were largely concerned with trustworthiness of scientific findings, as well as carving out more robust research practices. We discussed adequately powering one’s studies, statistical methods that are better aligned to typical research questions, how to pre-register experiments, how to deal with the garden of forking paths, as well as setting standards … [Read more…]

Oxford Reproducibility Lectures: Tom Nichols

At the beginning of my postdoc, I told my supervisor I’d like to learn some fMRI on top of my usual electrophysiology. “Wonderful”, she said, “I have just the dataset for you!” It was a straightforward research question with a fairly simple manipulation and it also happened to be along the lines of my interests. … [Read more…]

Oxford Reproducibility Lectures: Laura Fortunato

When I was an undergrad, I heard how Raymond Cattell (if memory serves me well) plastered his entire office, ceiling included, with papers on which he calculated the factor analysis involved in his theory of 16 basic personality traits. Hundreds of questionnaires with many items, maths to pull out the common variance and reduce the … [Read more…]

Oxford Reproducibility Lectures: Ana Todorovic

Scientific methods and their associated research questions form a variety of fits. Take the reproducibility crisis in behavioural psychology. In social psychology the crisis is quite prominent, with textbook findings being actively questioned. In cognitive psychology (inflated effect sizes notwithstanding) there is less of a feeling of crisis, and yet, the two fields use similar … [Read more…]

Oxford Reproducibility Lectures: Chas Bountra

There are gasps of indignation when academics hear that pharmaceutical industry doesn’t trust academic research all that much. We think of the big pharma people as the bad guys, the conscience-free predators that prioritise profit over our health and wellbeing. Academics, on the other hand, care about the truth. They don’t aim to get rich, … [Read more…]

Oxford Reproducibility Lectures: Ulrich Dirnagl

Discussions about scientific reproducibility are often rather bleak. We hear that our results are unreliable, that our methods are – and always have been – weak, that our ways need to change but that this might not be the best individual strategy for career advancement. And even if you want to work transparently and reproducibly, … [Read more…]

Oxford Reproducibility Lectures: EJ Wagenmakers

How many times have you read a research paper only to say, I don’t really believe this finding. It’s a regular occurrence, isn’t it? There is just something about the evidence that isn’t strong enough despite statistical significance, something about your theoretical knowledge that makes this finding fit rather badly. You perform a calculation in … [Read more…]

Oxford Reproducibility Lectures: Chris Chambers

There are many things to take care of in empirical research. The research design, programming the experiment, piloting, gathering a decent pool of participants, giving them clear instructions, handling complex technical equipment, analysing the data, communicating the findings… Every step of the way, a researcher can make this process run more or less smoothly. But … [Read more…]

Oxford Reproducibility Lectures: Kate Button

It was when Kate Button started her PhD, that she began to appreciate the disconnect between the methods teaching she had prior to the PhD, and the knowledge she needed for actual research. Her early statistics lessons were more about determining which line to read in the SPSS output than about the inferential process. Little … [Read more…]