Integrating explanation and prediction in computational social science.

@article{Hofman2021IntegratingEA,
  title={Integrating explanation and prediction in computational social science.},
  author={Jake M. Hofman and Duncan J. Watts and Susan Athey and Filiz Garip and Thomas L. Griffiths and Jon M. Kleinberg and Helen Z. Margetts and Sendhil Mullainathan and Matthew J. Salganik and Simine Vazire and Alessandro Vespignani and Tal Yarkoni},
  journal={Nature},
  year={2021}
}
Computational social science is more than just large repositories of digital data and the computational methods needed to construct and analyse them. It also represents a convergence of different fields with different ways of thinking about and doing science. The goal of this Perspective is to provide some clarity around how these approaches differ from one another and to propose how they might be productively integrated. Towards this end we make two contributions. The first is a schema for… 
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