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FAIR

From Prediction to Agile Interventions in the Social Sciences

04/12/2024

Special talk on Non-parametric Methods, April 24, 2024

Special talk by Prof. Dr. Edgar Brunner "Missbrauch, Gefahren und Fehlinterpretationen nichtparametrischer Verfahren"

 

People with notepads on a wooden table
03/19/2024

FAIR Workshop, June 26-28, 2024

The interdisciplinary research area FAIR organizes a three-day workshop on Digital Trace Data in Social Science Research.

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02/15/2024

DoDaS & FAIR Guest: Jeff M. Phillips

Prof. Jeff M. Phillips, Ph.D. (University of Utah)

Talk title: "Ferret: Reviewing Tabular Datasets for Manipulation"

portrait of Jeff M. Philipps
11/06/2023

Mentoring award for Prof. Dr. Sarah Weigelt

Prof. Dr. Sarah Weigelt receives the Mentoring Award of the Developmental Psychology Section of the German Psychological Society

10/09/2023

Self-regulated learning to improve teaching in computer science

New FAIR project in collaboration with Thomas Zeuma from RUB investigates formal computer science courses to improve their quality

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10/02/2023

Cooperation project Klett "Meister Cody Kids"

The educational game "Meister Cody Kids" is developed as part of a project funded by the Federal Ministry for Economic Affairs and Climate Action

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08/30/2023

FAIR Workshop, October 11-12, 2023

The interdisciplinary research area FAIR organizes a two-day workshop on Prediction Modeling.

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08/29/2023

FAIR Workshop, September 22 and 25, 2023

The interdisciplinary research area FAIR organizes a two-day workshop on Using Resampling and Simulation.

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05/05/2023

FAIR Graduate Program

The interdisciplinary research area FAIR will offer a graduate program in statistical methods starting in the summer semester 2023.

People with notepads on a wooden table
11/02/2022

FAIR Workshop, November 22-23, 2022

The interdisciplinary research area FAIR organizes a two-day workshop on Sequence and Streaming Data Analysis.

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08/31/2022

Agile Working

On August 18th and 19th, the FAIR team attended a training on agile project management by the ibo Academy.

Welcome!

The interdisciplinary research area From Prediction to Agile Interventions in the Social Sciences (FAIR) brings together researchers from the data sciences, statistics, education sciences, psychology, rehabilitation studies, and sociology. FAIR-researchers from these different disciplines will focus on the development and application of innovative research methods from the data sciences and use them to address societal challenges in highly relevant areas such as education, health, and societal inclusiveness and participation. Increasingly larger and more complex data have become available in the social sciences that can contribute to more precise prediction models (e.g., for such outcomes as academic success, health, and well-being) and aid our understanding of cause-effect relationships. An important objective is also the development of a framework for “Agile Intervention Research” that allows for individualized, data-driven, and need-based adaptations of interventions in authentic contexts. The FAIR-researchers will use “big” (large data sets) and “small” (small case numbers) data to optimize prognostic models in the social sciences and maximize the impact of available interventions in these fields by allowing for individualized adaptations.

Funded by the Ministry of Culture and Science of the State of Northrhine Westphalia.