Uploaded November 2021 | Updated September 2026, 1 week ago
About the speaker:
Lonni Besançon is a postdoctoral fellow at Monash University, Australia. He received his Ph.D in computer science at University Paris Saclay, France. His thesis “An interaction continuum for 3D dataset visualization” received the second prize of the prix de these GDR-IGRV. He is particularly interested in interactive visualization techniques for 3D spatial data relying on new input paradigms and his recent work focuses on the visualization and understanding of uncertainty in empirical results in computer science.
About the talk
Statistical analysis is at the heart of empirical research work. Yet current reporting styles and guidelines on interpretations have been found to be prone to dichotomous thinking and eventually lead to issues such as the file-drawer effect or even the replication crisis. In my work, I have first explored my research field to find evidence of dichotomous reporting. Based on the threats of a replication crisis I have observed in empirical computer science, I have explored alternative visual presentations of statistical results that could help to avoid binary interpretations of results.
About the RIOT Science Club
The RIOT Science Club gives talks/workshops on Reproducible, Interpretable, Open & Transparent Science.
Slides and/or recordings of all past and future RIOTS Clubs are stored on our Open Science Framework Page: osf.io/8y7h2/. You can also subscribe to our mailing list, to receive regular information on upcoming talks and workshops, any local events and vacancies for positions in open and reproducible research.
You can also find us on Twitter @riotscienceclub.
If you would like to give a talk or workshop for The RIOTS Club, please email riotscienceclub@kcl.ac.uk.
About the speaker:
Lonni Besançon is a postdoctoral fellow at Monash University, Australia. He received his Ph.D in computer science at University Paris Saclay, France. His thesis “An interaction continuum for 3D dataset visualization” received the second prize of the prix de these GDR-IGRV. He is particularly interested in interactive visualization techniques for 3D spatial data relying on new input paradigms and his recent work focuses on the visualization and understanding of uncertainty in empirical results in computer science.
About the talk
Statistical analysis is at the heart of empirical research work. Yet current reporting styles and guidelines on interpretations have been found to be prone to dichotomous thinking and eventually lead to issues such as the file-drawer effect or even the replication crisis. In my work, I have first explored my research field to find evidence of dichotomous reporting. Based on the threats of a replication crisis I have observed in empirical computer science, I have explored alternative visual presentations of statistical results that could help to avoid binary interpretations of results.
About the RIOT Science Club
The RIOT Science Club gives talks/workshops on Reproducible, Interpretable, Open & Transparent Science.
Slides and/or recordings of all past and future RIOTS Clubs are stored on our Open Science Framework Page: osf.io/8y7h2/. You can also subscribe to our mailing list, to receive regular information on upcoming talks and workshops, any local events and vacancies for positions in open and reproducible research.
You can also find us on Twitter @riotscienceclub.
If you would like to give a talk or workshop for The RIOTS Club, please email riotscienceclub@kcl.ac.uk.
