Utility-driven Data Acquisition in Participatory Sensing

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Technologizing Democracy or Democratizing Technology? A Layered-Architecture Perspective on Potentials and Challenges

While technology is often claimed to be “democratizing”, the technologizing of society has more often yielded undemocratic or even anti-democratic outcomes. Is technology fundamentally at odds with democracy, or is it merely a rich and infinitely-adaptable ...

University of Chicago Press2021

From metrics towards meaningful assessments of urban sustainability - exploring visions, frameworks and indicators

Pekka Jaakko Halla

Problem statement. Cities hold a central role in global efforts towards sustainability, and integrating sustainability concerns into the governance of cities constitutes an increasingly urgent challenge. One avenue holding promise in this respect concerns ...

EPFL2021

Integrating Inland and Coastal Water Quality Data for Actionable Knowledge

Damien Bouffard, Theo Baracchini, Camille Roland Marie Minaudo

Water quality measures for inland and coastal waters are available as discrete samples from professional and volunteer water quality monitoring programs and higher-frequency, near-continuous data from automated in situ sensors. Water quality parameters als ...

MDPI2021

Graph-Homomorphic Perturbations For Private Decentralized Learning

Ali H. Sayed, Stefan Vlaski

Decentralized algorithms for stochastic optimization and learning rely on the diffusion of information through repeated local exchanges of intermediate estimates. Such structures are particularly appealing in situations where agents may be hesitant to shar ...

IEEE2021

Product assortment and space allocation strategies to attract loyal and non-loyal customers

Ralf Seifert, Argyro Katsifou, Anna Timonina-Farkas

Assortment planning deserves much attention from practitioners and academics due to its direct impact on retailers' commercial success. In this paper we focus on the increasingly popular retail practice to use combined product assortments with both "standa ...

2020

Digital approaches and mobilities in the Big Data era

Jean-François Lucas

This chapter discusses some of the opportunities offered by Big Data to understand mobility practices. However, beyond its promises, it has to be considered as human and social constructions. Therefore, the author underlines the importance of describing al ...

Routledge, Taylor & Francis2020

Private and Secure Distributed Learning

Georgios Damaskinos

The ever-growing number of edge devices (e.g., smartphones) and the exploding volume of sensitive data they produce, call for distributed machine learning techniques that are privacy-preserving. Given the increasing computing capabilities of modern edge de ...

EPFL2020

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