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prediktiva
08 October, 2025
The predictive capacity of the social sciences

The predictive capacity of the social sciences

This is an initiative to develop principles and methods for a more future-oriented social science, by starting up a discussion among researchers in social sciences, as well in Sweden as abroad.

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26 April, 2019
Emma Engström

Emma Engström

I defended my PhD thesis on predictive modeling of groundwater contamination at the Department of Sustainable Development, Environmental Science and Engineering (SEED), KTH, Royal Institute of Technol

PhD, Environmental Modeling
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26 October, 2016

Money, peers and parents: Social and economic aspects of inequality in youth wellbeing.

Journal of Youth and Adolescence, 45(7), 1294-1308. Abstract Indicators of social and economic status are important health determinants. However, evidence for the influence of family socioeconomic statu

Type of publication: Journal articles | Mood, Carina , Plenty, Stephanie
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01 October, 2020

Uxorilocal Marriage as a Strategy for Heirship in a Patrilineal Society: Evidence from Household Registers in early 20th-Century Taiwan

The History of the Family Abstract In pre-industrial Taiwan, an uxorilocal marriage, in which a man moved in with his bride’s family, was a familial strategy used to continue family lineage and to enhan

Type of publication: Journal articles | Kolk, Martin , , Li, Chun-Hao, Yang, Wen-Shen & Ying-Chang Chuang
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16 September, 2024

Comparing and modeling the use of online recommender systems

Computers in Human Behavior Reports, vol 15 Abstract This study explores a new way to model the adoption of AI, specifically online recommender systems. It aims to find factors that can explain the varia

Type of publication: Journal articles | Engström, Emma , & Jennifer Viberg Johansson Vartanova, Irina , & Jennifer Viberg Johansson Strimling, Pontus , & Jennifer Viberg Johansson
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11 December, 2019

Social Science Postdoctoral Researcher to Study the Diffusion of AI

We are looking for a postdoctoral researcher in the project “Predicting the diffusion of AI-applications”.

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