Dear colleagues,
we are excited to announce the DGPA Open Science Series 2024 - a series of online workshops about various topics relevant in psychophysiological research. The upcoming workshops focus on different open software applications. They are free of charge for DGPA members and cost 15€ (workshop 1 and 2) and 30 € (workshop 3) for non members.
You can now register for one or more of the following workshops:
1) 18th July, 15:00-16:30: "Using Brain Imaging Data Structure (BIDS) for reproducible research" by Julius Welzel and Sein Jeung
2) 23th July, 10:00-11:00: "Augmenting human interactions with voice/face transformation filters in digital settings" by Pablo Arias
3) 31st July, 9:00-12:00: "CARWatch – An open-source framework for improving the objective assessment of diurnal cortisol profiles and the cortisol awakening response in the field" by Robert Richer
More detailed information on each workshop can be found below.
To register, please send an email to
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! along with proof of your membership status and indicate the workshop(s) you would like to participate in.
Please note that there is a limited number of spots available. If you are not yet a member of the DGPA but decide to become a member, let us know during the registration for the event and the participation fee will be waived.
Best regards,
Marie Mückstein
on behalf of the Early Career Researcher Representatives of the DGPA and the section of Biological Psychology and Neuropsychology of the DGPs
###### Workshop 1: "Using Brain Imaging Data Structure (BIDS) for reproducible research"
Speaker: Julius Welzel and Sein Jeung
Abstract: The Brain Imaging Data Structure (BIDS) aims to make neuroimaging and behavioural data interoperable across different laboratories. BIDS standardise the data format and metadata structure, documenting experimental details. This promotes findable, accessible, interoperable, reusable (FAIR) data management, ultimately boosting the reproducibility of research. The workshop will consist of a talk session and a hands-on session. The talk will introduce the motivation for using BIDS for data curation and how it helps individual researchers and group leaders. In the hands-on part, we will have dual tracks using breakout rooms, each demonstrating how to convert data sets of different modalities (EEG and physio/motion) using Python and Matlab respectively. Concretely, the session will start with a tutorial for converting example data snippets into BIDS, allowing participants to modify the scripts to convert their own data sets into BIDS
###### Workshop 2: "Augmenting human interactions with voice/face transformation filters in digital settings"
Speaker: Pablo Arias
Abstract: Transformation filters have invaded our digital lives. It is now possible to clone a person’s voice, manipulate their facial movements, change their vocal emotions, and more. These transformations are progressively being integrated in large scale consumer applications (e.g., Instagram, TikTok, Snapchat) and remote communication software (e.g. Zoom), creating a context where AI-based transformation filters are available to billions of (the youngest) individuals worldwide. However, the manipulative potential of these transformations is still unknown.
To investigate this question, we recently developed a video-conference experimental platform called DuckSoup, which enables researchers to manipulate the social signals produced by participants in real-time, and without their awareness (e.g. increasing or decreasing their smiles). I will present two studies using this where we investigated how specific social signals modulate the outcomes of social interactions. Specifically, how artificially aligning the smiles of dating participants can modulate the romantic attraction that participants feel towards each other, as well as how vocal dominance can bias human negotiations. I will present these two examples as well as some ethical considerations about the widespread use of digital filters.
###### Workshop 3: "CARWatch – An open-source framework for improving the objective assessment of diurnal cortisol profiles and the cortisol awakening response in the field"
Speaker: Robert Richer (FAU Erlangen)
Abstract: Low adherence and the lack of precise and objective methods for saliva sampling time tracking is a significant methodological issue of many studies measuring diurnal cortisol profiles or the cortisol awakening response (CAR). Previous attempts to solve this issue either led to a complication of the study protocol or an increase in study costs, thus often making them infeasible for large-scale studies.
For that reason, we developed the open and free CARWatch framework. It consists of a web application to set up studies and configure required materials, and a smartphone application to objectively record sampling times by scanning generated barcodes that are placed on the saliva sampling tubes. To increase study protocol adherence CARWatch can be configured to set sampling alarms, reminding participants to take samples according to schedule. In addition, further features can be flexibly configured, such as recording the light intensity during the CAR sampling in the morning or importing data from sleep trackers and smartwatches into CARWatch to record objective awakening times.
In this workshop, we will make you familiar with the CARWatch framework. After a short introduction into the methodological basics of the CAR, we will show you how to work with the CARWatch framework. This includes: (1) how to set up and configure a study in the web application, (2) how to export and print the labels for the saliva sampling tubes, (3) how to use the smartphone application to scan the labels and record the sampling times, and (4) how to export and process the collected data. We will show you everything in hands-on sessions and provide you with the opportunity to ask questions and discuss the framework, and how you can use it in your own research, with you.
The workshop is intended for any researchers and students interested in the assessment of diurnal cortisol profiles and the CAR. No prior knowledge is required. For an active participation in the hands-on sessions, we recommend having an Android smartphone with a camera available (an iOS version of CARWatch is currently in development). Additionally, an access to a printer is recommended to print the labels for the saliva sampling tubes (alternatively, you can also scan the labels directly from the screen of your computer or tablet).
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