RIOT Science Club

Trends in self-citation rates in neuroscience literature by Prof Dustin Scheinost & Matt Rosenblatt
2022-11-15 15:30 - 16:30 (Europe/London) | MS Teams
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About the speakers

Dustin Scheinost earned his PhD in biomedical engineering from Yale University and is currently an Assistant Professor in the Department of Radiology & Biomedical Imaging at Yale School of Medicine, where he leads the Multimodal Imaging, Neuroinformatics, and Data Science (MINDS) Lab. Dustin’s research interests include functional connectivity, predictive modeling, software development (BioImage Suite), and fetal-infant fMRI. In addition, Dustin is a founding member of the Fetal, Infant, & Toddler Neuroimaging Group (FIT’NG).
Matt Rosenblatt received his BS in bioengineering from the University of Pittsburgh, and he is currently a biomedical engineering graduate student in the Multimodal Imaging, Neuroinformatics, and Data Science (MINDS) Lab at Yale University. Matt’s main research focus is evaluating and improving the trustworthiness of machine learning for neuroimaging.
About the talk
In this talk, we will summarize our recent bioRxiv preprint “Trends in self-citation rates in neuroscience literature”. Since the downstream effects of self-citations include increased visibility and citations from others, it is crucial to establish baseline self-citation rates in neuroscience literature. We will not only discuss baseline self-citation rates, but also differences in self-citation by year, seniority, country, and gender. Finally, we will highlight a Python tool where authors can evaluate their own self-citation rates.
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Crowdsourcing research questions in science by Dr Susanne Beck
2022-11-25 14:00 - 15:00 | MS Teams
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About the speaker
Check out the speaker’s bio here.
About the talk
Scientists are increasingly crossing the boundaries of the professional system by involving the general public (the crowd) directly in their research. However, this crowd involvement tends to be confined to empirical work and it is not clear whether and how crowds can also be involved in conceptual stages such as formulating the questions that research is trying to address. Drawing on five different “paradigms” of crowdsourcing and related mechanisms, we first discuss potential merits of involving crowds in the formulation of research questions (RQs). We then analyze data from two crowdsourcing projects in the medical sciences to describe key features of RQs generated by crowd members and compare the quality of crowd contributions to that of RQs generated in the conventional scientific process.
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Supervisors' role modeling of responsible research practices by Dr Tamarinde Haven
2022-11-28 10:00 - 11:00 | Zoom, United Kingdom
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About the speaker
Tamarinde Haven has a background in psychology, philosophy, and epidemiology. She defended her PhD thesis in 2021 at the Vrije Universiteit Amsterdam focusing on the role of the research climate in fostering or undermining research integrity. In her time as a postdoc at the BIH QUEST Center for Responsible Research, she investigated role modelling of Open Science practices among biomedical supervisors. Currently, Tamarinde works at Aarhus University on a Rubicon funded project to develop a measurement instrument for responsible supervision.
About the talk
Supervision is one important way to socialize PhD candidates into responsible research. We hypothesized that one should be more likely to identify responsible research practices (here publishing open access and sharing data) in empirical publications that were part of a PhD thesis when the PhD candidate’s supervisors engaged in these responsible research practices compared to PhD candidate’s supervisors who did not or rarely did.
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