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GENDER DISPARITIES IN SCIENCE?
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DROPOUT, PRODUCTIVITY, COLLABORATIONS AND SUCCESS OF MALE AND FEMALE COMPUTER SCIENTISTS. Scientific collaborations shape ideas as well as innovations and are both the substrate for, and the outcome of, academic careers. Recent studies show that gender inequality is still present in many scientific practices ranging from hiring to peer-review processes… Continue reading →
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Towards Quantifying Sampling Bias in Network Inference.
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Relational inference leverages relationships between entities and links in a network to infer information about the network from a small sample. This method is often used when global information about the network is not available or difficult to obtain. However, how reliable is inference from a small labeled sample How… Continue reading →
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We live in a global village where electronic communication has eliminated the geographical barriers of information exchange. With global information exchange, the road is open to worldwide convergence of opinions and interests. However, it remains unknown to what extent information interests actually have become global. To address how interests differ… Continue reading →
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Why some societies are more cooperative than others?
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Imagine you are living in a remote village and because of a harsh winter the village is cut off from the main source of electricity. There is no electricity to use for light, heating and television. Luckily, one villager has a generator that can provide sufficient electricity to all other… Continue reading →
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In the online space, even though our social encounters are not tightly bounded to “offline” social norms, still we try to build a good image of ourselves to be able to maintain our online relationships. Therefore, it is crucial to understand how people create “online” social norms and to what… Continue reading →
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January 2010, I was in Berlin with a good Turkish friend. She is vegetarian. At some point she expressed her stomachache. I turned to her and said “of course you have stomach ache because you ate this and that together”. She looked at me strange that what I am talking… Continue reading →
Network Inequality and Fairness Group
Computational Social Science Research
Welcome to the Network Inequality and Fairness Group! Based at TU Graz in Austria and led by Fariba Karimi, our research group uses computational and network approaches to examine pressing social challenges, including inequality, minority visibility, and algorithmic bias. Our work also explores how culture, information, and norms spread across online communities using models, data, and experiments.
Picture taken at the Group Retreat – July 2025
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Network Inequality and Fairness Group 