Description I have a strong interest in methods that facilitate high quality research: reproducible, replicable, relevant, and communicated in a clear and responsible manner also to non-scientific audiences. In terms of substantive interests, my research focuses on dynamic aspects of consumer decision making, more specifically on how preferences evolve over time until a final choice is expressed. In order to gain access to these latent processes, I am using dynamic Bayesian models calibrated on eye-tracking data, building on research in neuroeconomics that supports a strong link between attention and decision making.

Description I am a PhD candidate at the Department of Public Administration and Sociology. In my research, I look at interest groups and regulatory politics using quantitative text analysis and statistics. I am fairly new to open science. I have published in an open access journal and use open source software (R) for my analysis. CV and Contact Info Click on the picture to send an email. The icons on the right redirect to the CV and social media pages.

Description My work on individual differences in language use is positioned at the intersection of quantitative psychology, philosophy of language, and cognitive linguistics. I have expertise in the fields of concepts and categories, semantics, and psychometrics. CV and Contact Info Click on the picture to send an email. The icons on the right redirect to the CV and social media pages. Expertise

The fourth OSCR ReproducibiliTea journal club will take place on February 12th at 11:00 in room J7-55 (Bayle building). We will have two special guests: Max Bautista Perpinyà and Stefan Gaillard, two co-founders of the Journal of Trial and Error. In their talk1, Max and Stefan will focus on the importance of publishing negative and null results, as well as other research results that would traditionally be considered “failure” such as unsuccessful chemical syntheses.

Website: https://opensciencefestival.nl/ Deadlines: Open Call submission: March 10th, 2020 Notification of acceptance or rejection: March 31st, 2020 Registration opens: April 2nd, 2020 The National Open Science Festival provides researchers the opportunity to learn about the benefits of different Open Science practices. It is a place to meet peers that are already working openly or that are interested to start doing so. Key to this day is sharing knowledge and best practices.

I am happy to announce that Daniël Lakens, Associate Professor in the Human-Technology interaction group at Eindhoven University of Technology, will give a talk at the upcoming DPECS colloquium, which will take place on February 11th at 15:00 in room T13-67 (Mandeville building). Prof. Lakens is a long-standing adopter and proponent of open science practices. He is active on Twitter, has a very interesting blog called The 20% Statistician, and teaches two successful massive online open courses: Improving your statistical inferences and Improving Your Statistical Questions.

The third OSCR ReproducibiliTea journal club will take place on January 22nd at 11:00 in room VB-02 (V building). I will be the discussant, and we will talk about the following paper1: Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant. Psychological Science, 22(11), 1359–1366. https://doi.org/10.1177/0956797611417632 This paper, now considered a classic reference when discussing open science in psychological research, shows how unreported flexible choices in data collection, analysis, and reporting can increase false-positive rates.

Description I am a post-doctoral researcher at Erasmus School of Health Policy & Management (ESHPM). My background is in social sciences and applied economics. My current research focuses on the economics aspects of population ageing, in particular on the provision of long-term care services to the elderly. I exploit individual-level data of different types: surveys conducted by Statistical Institutes, administrative register data, or client databases, which I access under confidentially agreements.

Description I am a PhD student and my research field is social epidemiology. My main interests is how social environment affects child mental health and development. Open science is new to me but I am sure that it improves the science quality as a whole and efficiency in research as well. CV and Contact Info Click on the picture to send an email. The icons on the right redirect to the CV and social media pages.

Description I specialize in Multilevel Analysis, Bayesian statistics, Timeseries, Network Analysis, and Diary Studies. My research theme is “Inter-individual differences in intra-individual variability. How do individuals change over time, and how does this change differ between individuals?”. I mainly work on longitudinal modeling and simulation studies, but also collaborate with substantive researchers and PhD’s (mainly form the field of Psychology, Child- and Educational Sciences) whenever I can. CV and Contact Info Click on the picture to send an email.