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Computational social science with confidence [PDF]
There is an ongoing shift in computational social science towards validating our methodologies and improving the reliability of our findings. This is tremendously exciting in that we are moving beyond exploration, towards a fuller integration with theory
Carolina E. S. Mattsson
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Critical computational social science [PDF]
In her 2021 IC2S2 keynote talk, “Critical Data Theory,” Margaret Hu builds off Critical Race Theory, privacy law, and big data surveillance to grapple with questions at the intersection of big data and legal jurisprudence.
Sarah Shugars
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Citizen Science Practices for Computational Social Science Research: The Conceptualization of Pop-Up Experiments [PDF]
Under the name of Citizen Science, many innovative practices in which volunteers partner up with scientists to pose and answer real-world questions are growing rapidly worldwide.
Oleguer eSagarra+5 more
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Special Issue “Computational Social Science” [PDF]
The last centuries have seen a great surge in our understanding and control of “simple” physical, chemical, and biological processes through data analysis and the mathematical modeling of their underlying dynamics [...]
Gerardo Iñiguez+2 more
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Computational Social Science of Disasters: Opportunities and Challenges [PDF]
Disaster events and their economic impacts are trending, and climate projection studies suggest that the risks of disaster will continue to increase in the near future.
Annetta Burger+3 more
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Spatially integrated social sciences: opportunities for computational urban science
The concept of Spatially Integrated Social Sciences (SISS) emerged in the 1990s, introducing a spatial dimension to social science research through Geographic Information Science (GIS)-based tools.
Siqin Wang, Jonathan Corcoran
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Visibility matters during wayfinding in the vertical
Visibility is the degree to which different parts of the environment can be observed from a given vantage point. In the absence of previous familiarity or signage, the visibility of key elements in a multilevel environment (e.g., the entrance, exit, or ...
Michal Gath-Morad+5 more
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For a heterodox computational social science
The proliferation of digital data has been the impetus for the emergence of a new discipline for the study of social life: ‘computational social science’.
Petter Törnberg, Justus Uitermark
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AI Pontryagin or how artificial neural networks learn to control dynamical systems
Optimal control of complex dynamical systems can be challenging due to cost constraints and analytical intractability. The authors propose a machine-learning-based control framework able to learn control signals and force complex high-dimensional ...
Lucas Böttcher+2 more
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Explaining classification performance and bias via network structure and sampling technique
Social networks are very important carriers of information. For instance, the political leaning of our friends can serve as a proxy to identify our own political preferences.
Lisette Espín-Noboa+4 more
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