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Advocacy group

Publications associées (21)

Discovering Lobby-Parliamentarian Alignments through NLP

Matthias Grossglauser, Victor Kristof, Aswin Suresh

We discover alignments of views between interest groups (lobbies) and members of the European Parliament (MEPs) by automatically analyzing their texts. Specifically, we do so by collecting novel datasets of lobbies’ position papers and MEPs’ speeches, and ...

2024

How Words Move Hearts: Interpretable Machine Learning Models of Bias, Engagement, and Influence in Socio-Political Systems

Aswin Suresh

We study socio-political systems in representative democracies. Motivated by problems that affect the proper functioning of the system, we build computational methods to answer research questions regarding the phenomena occurring in them. For each phenomen ...

EPFL2023

Natural Language Processing (NLP) driven categorisation and detection of discourse in historical US patents

Jérôme Baudry, Nicolas Christophe Chachereau, Bhargav Srinivasa Desikan, Prakhar Gupta

Patents have traditionally been used in the history of technology as an indication of the thinking process of the inventors, of the challenges or “reverse salients” they faced, or of the social groups influencing the construction of technology. More recent ...

2022

Coalitional Control for Self-Organizing Agents

Coalitional control is concerned with the management of multi-agent systems where cooperation cannot be taken for granted (due to, e.g., market competition, logistics). This paper proposes a model predictive control (MPC) framework aimed at large-scale dyn ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

Contextualizing the co-creation of artefacts within the nested social structure of a collaborative MOOC

Pierre Dillenbourg, Kshitij Sharma, Stian Haklev

MOOCs have traditionally been seen as providing an individual learning experience, however there is an increasing trend towards enabling social learning in MOOCs. To make online learning at scale more social and collaborative, some MOOCs have introduced co ...

2017

Using robots to understand social behavior

Dario Floreano, Laurent Keller, Sara Mitri

A major challenge in studying social behaviour stems from the need to disentangle the behaviour of each individual from the resulting collective. One way to overcome this problem is to construct a model of the behaviour of an individual, and observe whethe ...

Wiley-Blackwell2013

Towards a global participatory platform Democratising open data, complexity science and collective intelligence

Karl Aberer

The FuturICT project seeks to use the power of big data, analytic models grounded in complexity science, and the collective intelligence they yield for societal benefit. Accordingly, this paper argues that these new tools should not remain the preserve of ...

Springer Verlag2012

The Political Economy of Climate Policy

Alexandra Quandt

The topic of the here presented work is the influence of firms on climate policy. This thesis analyses the impact of firms’ influence on the acceptance of climate policy, its effectiveness, and implementation. Hereby, the mediation of private interest is u ...

EPFL2012

Business interest in Swiss climate policy

Alexandra Quandt

Business interest associations play an important role in the decision making process of climate policy. In 2009, the revision of the Swiss CO2 law for designing post-2012 climate policy is at stake. This paper analyzes the positions and arguments of the Sw ...

NCCR Climate2010

Modeling and Understanding Flickr Communities through Topic-based Analysis

Daniel Gatica-Perez, Radu Andrei Negoescu

With the increased presence of digital imaging devices there also came an explosion in the amount of multimedia content available online. Users have transformed from passive consumers of media into content creators and have started organizing themselves in ...

2010

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