Event Details

This 1-hour webinar will be an opportunity to hear about the methodology and first results of the iRISE consortium. iRISE is working towards a better understanding of reproducibility and the interventions that work to improve it. At the end of the presentation there will also be the opportunity to ask questions.


The iRISE (improving Reproducibility In SciencE) project aims to deepen our understanding of the drivers contributing to poor reproducibility and to conduct a detailed evaluation โ€“ including primary research โ€“ of the effectiveness of interventions to increase reproducibility. The project's work package (WP) on theory is dedicated to clarifying terms and underlying concepts related to reproducibility. To ensure efficient communication within the iRISE consortium, we produced a glossary with working definitions of terms including reproducibility, replicability, and replication. A concept important in pre-clinical drug discovery, translatability, was for example defined as "the ability to apply research discoveries from experimental models to applications that directly benefit humans". The definitions are complemented with measures to quantify different types of reproducibility, and theories on the possible factors leading to irreproducibility. The core WP of the project is focused on intervention testing. Various intervention studies are currently being conducted and the interventions' efficiency in improving the reproducibility of science is being assessed. The tested interventions target various research stakeholders and phases of the research process.

How is all of this of interest to pre-clinical drug discovery? And why does the EU fund such initiatives and projects? This contribution will present iRISE's methodology and first results towards a better understanding of reproducibility and the interventions that work to improve it.

Speakers

  • Rachel Heyard (Postdoctoral Fellow at Center for Reproducible Science, University of Zurich)

    Rachel Heyard

    Postdoctoral Fellow at Center for Reproducible Science, University of Zurich

    Rachel Heyard holds a PhD in Biostatistics and is currently a postdoctoral fellow in meta-research at the Center for Reproducible Science, University of Zurich (UZH). After finalising her PhD at UZH in 2019, she left academia to join the data team of the Swiss National Science Foundation (SNSF) as a statistician. While working on diverse data and statistics projects informing science policy, she discovered her passion for meta-research - the interdisciplinary study of research itself. After a bit more than three years at the SNSF, she decided to go back to academia and started a postdoc in meta-research at the Center for Reproducible Science, where she teaches Good Research Practices and continues doing meta-research. Her research interests include developing and testing new approaches for allocating research funding, statistical methods in research, and improving reproducibility and the uptake of Open Science. In the EU consortium iRISE (improving Reproducibility In SciencE) she co-lead the theory work package. She is further the vice-president of the Swiss Statistical Society, part of the steering committee of the CoARA (Coalition for Advancing Research Assessment) working group on Responsible Indicators and Metrics, and the organiser of the Zurich ReproducibiliTea Seminar Series.

    view more

Community

Connect with 39 people attending this event

View community profiles and add attendees into your favorites list.

Tickets

PSI Member
Member Price Complimentary
PSI Non-Member
Standard Price Complimentary