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Medialab stories: how to align actor network theory and digital methods
Related publications (33)
The Hermeneutic Circle of Data Visualization: the Case Study of the Affinity Map
In this article, we show how postphenomenology can be used to analyze a visual method that reveals the hidden dynamics that exist between individuals within large organizations. We make use of the Affinity Map to expand the classic postphenomenology that p ...
2020Highlighting action and environmental component interactions using a network theory approach
In Environmental Impact Assessment (EIA), the either positive or negative impacts that specific N project actions might generate on a number M of environmental components are typically summarized in the form of Interaction Matrix (IM). This is an NxM tabul ...
2020Assessing Technology Adoption in the European Air Traffic Management: The Cases of Virtual Centre and Flight-Centric Operations
This research focuses on emerging technologies in the European air traffic management (ATM), specifically investigating technology adoption by the main stakeholders. The European ATM consists of a highly fragmented aviation infrastructure, built and manage ...
EPFL2020Learning socio-organizational network structure in buildings with ambient sensing data
We develop a model that successfully learns social and organizational human network structure using ambient sensing data from distributed plug load energy sensors in commercial buildings. A key goal for the design and operation of commercial buildings is t ...
2020The Hermenutic Circle of Data Visualization
According to Don Ihde (1990, 80–97), hermeneutic relations are a specific kind of technologically mediated I-world relations in which the technology must be “read” and “interpreted” in order to access the world. More recently, Peter-Paul Verbeek (2010, 145 ...
2018Discovering Interaction Patterns in Online Learning Environments
The increasing amount of data collected in online learning environments provides unique opportunities to better understand the learning processes in different educational settings. Learning analytics research aims at understanding and optimizing learning a ...
EPFL2018From recommender systems to spatio-temporal dynamics with network science
Networks are data structures that are fundamental for capturing and analyzing complex interactions between objects. While they have been used for decades to solve problems in virtually all scientific fields, their usage for data analysis in real-world prac ...
EPFL2017“It’s an Endurance Race” An Indicator-Based Resilience Analysis of the Energy Transition in the Allgäu Region, Bavaria
Claudia Rebeca Binder Signer, Romano Tobias Wyss, Susan Marie Mühlemeier
The energy transition currently taking place in Germany is recognised as being one of the most ambitious socio-technical transitions at the present time. Scholars have so far mostly studied the resilience of the current or future state of the energy system ...
Oekom Verlag2017Structured and porous materials particularly suitable as polarizing agents in dissolution dynamic nuclear polarization
David Lyndon Emsley, Geoffrey Bodenhausen, Aurélien Bornet, Sami Jannin, David Benjamin Roger Antoine Gajan, David Baudouin
The present invention concerns materials consisting in a porous and structured network, this network being at least in part formed by Si atoms, or Si atoms and metal atoms, linked to each other by oxy bridges, comprising organic molecules which include at ...
2016Character Networks and Centrality
A character network represents relations between characters from a text; the relations are based on text proximity, shared scenes/events, quoted speech, etc. Our project sketches a theoretical framework for character network analysis, bringing together nar ...
University of Lausanne2014