4th symposium on big data and research synthesis in psychology "Psychological research in times of big data: How can machine learning and open science help to cope with the information overload?" - Deutscher Bildungsserver

4th symposium on big data and research synthesis in psychology "Psychological research in times of big data: How can machine learning and open science help to cope with the information overload?"

08.05.2023 - 10.05.2023

DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation
Rostocker Str. 6
60323 Frankfurt am Main
Hessen
Deutschland
events@leibniz-psychology.org

h t t p s : / / c o n f e r e n c e - s e r v i c e . c o m / r e s s y n - b i g d a t a - 2 0 2 3 / a c c e s s . h t m l

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The 4th Symposium on Big Data and Research Syntheses in Psychology with a special focus on Machine Learning & Open Science, organized by the Leibniz Institute for Psychology (ZPID) will address the question: Psychological research in times of big data: How can machine learning and open science help to cope with the information overload?
What big data and research syntheses have in common is the challenge of dealing with large, novel, and ever-growing amounts of data in psychology. In recent years, machine learning has become a key tool to address these challenges. Methodological advancements along with freely available software, as well as advances in data storage and computational capacities, make it possible to deal with data of large volume, velocity, and variety. At the same time, open science plays an important role: On the one hand, to create more efficient workflows by sharing data, methodological documentation, technical tools and analysis scripts within science. Especially when applying machine learning methods, transparent documentation and provision of the analysis code are indispensable for their reproducibility. On the other hand, to make scientific evidence accessible and usable by communicating it to the outside world in a way that is understandable to laypersons.

The symposium is scheduled to take place in Frankfurt am Main, Germany, in May 2023 and will last three days.