Data Champions Search

Amelie Roper is Research Facilitator at Cambridge University Library. Her role involves supporting grant applications for research funding for library activities, and assisting with project delivery once funding is awarded. 

She studied music at King’s College London and Library and Information Studies at University College London. She also holds a PhD in book history from the University of St Andrews. 

Her research interests include early modern European print culture, digital music publishing and big data.

I received my PhD in cognitive neuroscience from Basque Center on Cognition, Brain and Language (BCBL). I am currently a Research Associate at the Department of Psychology, University of Cambridge. My interests include data processing and analysis methods for neuroimaging techniques employed in developmental research (fNIRS & EEG). I am interested in the application of these methods for investigating functional connectivity and cognitive processes such as social cognition and language acquisition in infant populations.

In my role as Library Manager (Biological Sciences) I support STEMM students and researchers across the School of Biological Sciences. I have worked in a variety of different roles over the years and have worked with different groups such as business students and polar scientists. I teach regularly on various research topics and manage library services in the departments of PDN, Genetics, Plant Sciences and Zoology.

Additional areas of expertise:

Social media use in research, Research communication and outreach, Public engagement, Creative Commons, Open sharing.

I primarily work with large-scale language datasets, using methods from quantitative and computational social sciences, as well as the digital humanities. I also teach associated research methods, like statistics, data wrangling, and visualization. 

Outside my research, I am an active science communicator, primarily via two websites that I author: Effectiviology (https://effectiviology.com/), where I write about psychology and philosophy that have practical applications, and Solving Procrastination (https://solvingprocrastination.com/), where I write about what procrastination is, why we do it, and how to overcome it. 

As a Data Champion, I focus on the use of quantitative and computational methods for working with data (e.g., for data wrangling and statistical analyses). I also deal with associated topics, like maximizing the impact of research through open research and science communication.