Publications associées (41)

Predicting party switching through machine learning and open data

Silvestro Micera, Emanuele Rossi

Parliament dynamics might seem erratic at times. Predicting future voting patterns could support policy design based on the simulation of voting scenarios. The availability of open data on legislative activities and machine learning tools might enable such ...
CELL PRESS2023

Can runoff event types explain some scatter in nitrate C-Q relationships?

Jana Freiin von Freyberg

Nitrate contamination of rivers from agricultural sources, is a challenging problem for water quality management. The relationship between solute concentrations and streamflow rates (C-Q) observed at catchment outlets provide useful information on hydrolog ...
2022

Empirical Evidence on the Effectiveness of Shareholder Democracy

Maxime Thibault B Couvert

This thesis is composed of two essays that study the effectiveness of shareholder democracy. In the first essay, I analyze the firm value implications of shareholder-initiated proposals. I show that managerial resistance precludes half of shareholder-init ...
EPFL2021

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