Understanding Patterns of Human Mobility At Different Timescales

The main objective of this paper is to discuss whether and how the future of algorithms can be crafted such that their development and deployment—from their design to their use, including control, evaluation, auditing, governance—be based on and foster core democratic values such as accountability, transparency, participation, and collaboration. In doing so, we will focus on algorithms affecting public life and policies to maximize benefit for citizens, or ‘public good algorithms’, but the discussion aims to have broader applicability.

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Author(s)

Author(s): 
Leo Fiorio, Emilio Zagheni, Guy Abel Johnathan Hill, Gabriel Pestre, Emmanuel Letouzé, Jixuan Cai

Partner Organization(s)

Data-Pop Alliance

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