Critical theory

A critical theory is any approach to social philosophy that focuses on society and culture to attempt to reveal, critique, and challenge power structures. With roots in sociology and literary criticism, it argues that social problems stem more from social structures and cultural assumptions than from individuals. It argues that ideology is the principal obstacle to human liberation. Critical theory finds applications in various fields of study, including psychoanalysis, sociology, history, communication theory, philosophy and feminist theory. Critical Theory (capitalized) is a school of thought practiced by the Frankfurt School theoreticians Herbert Marcuse, Theodor Adorno, Walter Benjamin, Erich Fromm, and Max Horkheimer on the one hand, and on the other any philosophical approach that seeks to liberate people from all forms of oppression and actively works to create a world in accordance with human needs (usually called "critical theory", without capitalization). Philosophical approaches within this broader definition include feminism, critical race theory, post-structuralism, queer theory and forms of postcolonialism. Horkheimer described a theory as critical insofar as it seeks "to liberate human beings from the circumstances that enslave them". Although a product of modernism, and although many of the progenitors of Critical Theory were skeptical of postmodernism, Critical Theory is one of the major components of both modern and postmodern thought, and is widely applied in the humanities and social sciences today. In addition to its roots in the first-generation Frankfurt School, critical theory has also been influenced by György Lukács and Antonio Gramsci. Additionally, second-generation Frankfurt School scholars have been influential, notably Jürgen Habermas. In Habermas's work, critical theory transcended its theoretical roots in German idealism and progressed closer to American pragmatism. Concern for social "base and superstructure" is one of the remaining Marxist philosophical concepts in much contemporary critical theory.

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Summary

Towards sufficiency in housing: Agent-based model and transition scenarios

Margarita Agriantoni

Research problem: Housing is responsible for a considerable part of global resource consumption. In Switzerland, it accounts for almost one third of the country's CO2 emissions and half of the total energy demand. Thus, housing plays an important role in the transition to sustainable development. Housing has been thoroughly studied from a disciplinary perspective, e.g., economics, social sciences, psychology, engineering. However, little attention has been paid to housing as a system of interrelated actors, e.g., developers, owners, tenants and state, whose actions might be described by different disciplines. Aim: The aim of this thesis is to investigate how a change in the construction practices of property owners in combination to a more space-efficient allocation of dwellings to households and a behavioural change of tenants can achieve a substantial reduction in the environmental impact of housing. This dissertation focuses on the interrelations of housing actors, concentrating mainly on the property owners and explores which measures and to what extent can lead to a reduction of space consumption of housing.Methods: Housing is characterised by a high level of complexity, therefore a transdisciplinary approach is adopted. Firstly, the Swiss housing market and its unique attributes are studied. However, in this thesis, we study a subset of the Swiss rental housing market; it comprises two housing cooperatives: ABZ in Zurich and SCHL in Lausanne as well as the insurer and asset manager Swiss Mobiliar. Their housing stocks, of approximately 10,000 dwellings, are examined in depth and are used as a case study. Extensive data gathering allowed to create an exhaustive inventory of the building stock of the three property owners. The data on tenants was limited, thus, we conducted a tenant survey. Furthermore, a series of workshops with both tenants and property owners were organised to study their decision-making processes. A bottom-up agent-based model (ABM) is built, which portrays the case study housing system. The main actors of the rental housing market (property owners and households) are represented in the model by agents; the owner agents make decisions about their building stock and tenants, while the household agents choose a dwelling based on their needs and housing preferences. The dynamic evolution of both owners and households and the interaction between them is simulated in the model and allows the study of emergent phenomena. The present thesis attempts the assessment of the environmental impact of housing through the lens of housing sufficiency. Space consumption, in terms of dwelling surface and floor area per capita, is considered as the largest determinant of resource consumption.Results: The simulation results show that measures taken to decrease the environmental impact of housing and space consumption are inadequate if owners do not change their construction practices and households do not actively change their housing behaviour. Most measures explored in this thesis, if implemented individually, succeed in reducing the rate of increase in space consumption but fail to reverse the upward trend. A more space-efficient allocation of dwellings to households proves to have a certain effect. However, only when combined with other measures, such as the densification of the existing building stock and a change in construction practices, a significant decrease of environmental impact is observed.

EPFL2022

Mise en oeuvre d’une gestion du risque en entreprise 2.0

Cosette Schuler

The Management is a key element in organizations and is a major component in their success. The aim of this thesis is to study the implementation of an enterprise management by putting forward the human factor. The ISO31000 ”Risk Management” standard and the COSO II ”Enterprise Risk Management Framework” were analyzed and mapped. It was found that their structure is similar and the majority of aspects are included in both frameworks. Ten semi-structured interviews were conducted with people working in the field of risk management. The interviews focused on the human factor in the risk management standards in order to identify potential gaps in the frameworks. The interviews were synthesized, analyzed and three hypotheses were put forward. With the ISO31000 and COSO mappings as well as the analysis of the interviews, it was highlighted that the definition of the human factor was not included and the notions of team management were not developed. These elements are aspects that influence risk management. Based on the hypotheses and findings of the analysis of the ISO31000 and COSO standards, a management recommendation was developed. This management recommendation defines the human factor, gives tools for an e↵ective team management and also puts forward the method of Control Self-Assessment (CSA), a method involving the employees in the evaluation of the process of risk management and control.

2022

Quantum-based approach for laboratory risk assessment and decision-making

Ruoxing Liao

With the rising focus on academic safety, there has been an effort to improve the academic safety climate and develop lab-specific risk assessment tools. Despite the progress made in recent years, there is still a deficit of reliable data statistics on safety events and risk assessment in academia, making it difficult to perform full-scale analysis. Moreover, the rapid turnover of personnel and the highly dynamic research tasks in a laboratory environment impede the implementation of classical and well-established risk management strategies, which are usually time-consuming and resource-intensive. Laboratory safety management is always challenging due to lack of data and effective methods. The end of safety management is usually the selection of risk mitigation measures. In the laboratory risk management process, decisions are often made through discussion and compromise. In this regard, it would be beneficial to provide a tool that can support in resource allocation and prioritization of actions. The goal of this project is to develop a decision support tool to assist in the selection of optimal and appropriate preventive or corrective measures in the lab safety management process. The use of decision tools such as Multi-Criteria Decision Making (MCDM) can effectively abstract complex laboratory management problems into a decision framework. This study focuses on the ranking process of competitive corrective measures. Combining the results of interviews and questionnaires, five evaluation criteria were proposed for the normative process of multi-criteria decision making. They are: Residual Risk, Risk reduction, Personnel reliability, Technical reliability, and Cost. classical methods TOPSIS and WSM have been evaluated during the study, and emerging quantum decision making methods have been explored. All three methods are used to simulate the laboratory safety decision making process, and they all present good consistency. Different weighting methods have also been applied to the model and two case studies have been conducted. The first case study is designed to construct the model and verify its feasibility, and the second model is used to investigate the process of group decision making. By applying different MCDM methods, the obtained results are discussed and compared to verify the stability and accuracy of the model. The approach proposed in this research is a promising tool. It offers the possibility to be compatible with different MCDM methods and risk assessment methods, and the proposed decision model could be used as a decision support system to help lab managers make better decisions, or it can provide a neutral point of view as an aid. Future work may include fine-tuning the model. In the following stage, decision criteria should be precisely defined, and corresponding quantitative formulas should be proposed to serve the flexible and dynamic laboratory environment.

2022

Ontology

In metaphysics, ontology is the philosophical study of being, as well as related concepts such as existence, becoming, and reality. Ontology addresses questions like how entities are grouped into and which of these entities exist on the most fundamental level. Ontologists often try to determine what the categories or highest kinds are and how they form a system of categories that encompasses the classification of all entities. Commonly proposed categories include substances, properties, relations, states of affairs, and events.

Social psychology

Social psychology is the scientific study of how thoughts, feelings, and behaviors are influenced by the real or imagined presence of other people or by social norms. Social psychologists typically explain human behavior as a result of the relationship between mental states and social situations, studying the social conditions under which thoughts, feelings, and behaviors occur, and how these variables influence social interactions.

Topics in sociological theories

A sociological theory is a supposition that intends to consider, analyze, and/or explain objects of social reality from a sociological perspective, drawing connections between individual concepts in order to organize and substantiate sociological knowledge. Hence, such knowledge is composed of complex theoretical frameworks and methodology. These theories range in scope, from concise, yet thorough, descriptions of a single social process to broad, inconclusive paradigms for analysis and interpretation.