ERC FUNDED PROJECTS

In the past decades, there has been a considerable rise in the number of apologies offered by states for injustices and human rights violations. Among transitional justice scholars, there is significant debate about how useful such apologies are. Whereas some have applauded these gestures as an important step in peacemaking processes, others have argued that they may not fit in all cultures and may even be a risky tool for peacemaking. Unfortunately, theorizing and research in the field of transitional justice is still in its infancy and has not systematically addressed questions of cross-cultural variability yet. So, at present, we do not know whether political apologies are a universally viable way to restore justice and harmony. My project addresses this challenge. Using an innovative, interdisciplinary, and multi-method approach with in-depth interviews, (experimental) surveys, and content analyses of apologies, I analyze whether there are universals in how political apologies are valued, expressed, and interpreted or whether this varies as a function of cross-cultural differences in key values (collectivism and individualism) and norms (face and honor). Based on these findings, I build a theoretical framework that will fundamentally advance our understanding of the potential value and role of apologies in transitional justice processes. This project breaks new ground because it is the first to take the difficult step to collect cross-cultural data to examine whether key assumptions regarding political apologies hold across cultures. It is also the first in this area to use a multi-method approach, which makes it possible to take into account the complex reality of political apologies. Combining insights from transitional justice, cross-cultural psychology and anthropology, this project places theorizing on transitional justice on a much firmer footing and paves the way to more cross-culturally valid models to restore justice and promote reconciliation.

1 917 713 €

Start date: 2016-09-01, End date: 2021-08-31

Since the invention of the spinning frame, automation has been one of the drivers of economic growth. Yet, workers, economist or the general public have been concerned that automation may destroy jobs or create inequality. This concern is particularly prevalent today with the sustained rise in economic inequality and fast technological progress in IT, robotics or self-driving cars. The empirical literature has showed the impact of automation on income distribution. Yet, the level of wages itself should also affect the incentives to undertake automation innovations. Understanding this feedback is key to assess the long-term effect of policies. My project aims to provide the first quantitative account of the two-way relationship between automation and the income distribution. It is articulated around three parts. First, I will use patent data to study empirically the causal effect of wages on automation innovations. To do so, I will build firm-level variation in the wages of the customers of innovating firms by exploiting variations in firms’ exposure to international markets. Second, I will study empirically the causal effect of automation innovations on wages. There, I will focus on local labour market and use the patent data to build exogenous variations in local knowledge. Third, I will calibrate an endogenous growth model with firm dynamics and automation using Danish firm-level data. The model will replicate stylized facts on the labour share distribution across firms. It will be used to compute the contribution of automation to economic growth or the decline of the labour share. Moreover, as a whole, the project will use two different methods (regression analysis and calibrated model) and two different types of data, to answer questions of crucial policy importance such as: Taking into account the response of automation, what are the long-term effects on wages of an increase in the minimum wage, a reduction in labour costs, or a robot tax?

1 295 890 €

Start date: 2018-11-01, End date: 2023-10-31

Discrete choice theory provides a mathematically rigorous framework to analyse and predict choice behaviour. While many of the theory’s key developments originate from the domain of transportation (mobility, travel behaviour), it is now widely used throughout the social sciences. The theory has a blind spot for moral choice behaviour. It was designed to analyse situations where people make choices that are optimal given their consumer preferences, rather than situations where people attempt to make choices that are right, given their moral preferences. This neglect of the morality of choice is striking, in light of the fact that many of the most important choices people make, have a moral dimension. This research program extends discrete choice theory to the domain of moral decision making. It will produce a suite of new mathematical representations of choice behaviour (i.e., choice models), which are designed to capture the decision rules and decision weights that determine how individuals behave in moral choice situations. In these models, particular emphasis is given to heterogeneity in moral decision rules and to the role of social influences. Models will be estimated and validated using data obtained through a series of interviews, surveys and choice experiments. Empirical analyses will take place in the context of moral choice situations concerning i) co-operative road using and ii) unsafe driving practices. Estimation results will be used as input for agent based models, to identify how social interaction processes lead to the emergence, persistence or dissolution of moral (traffic) equilibria at larger spatio-temporal scales. Together, these proposed research efforts promise to generate a major breakthrough in discrete choice theory. In addition, the program will result in important methodological contributions to the empirical study of moral decision making behaviour in general; and to new insights into the moral aspects of (travel) behaviour.

1 998 750 €

Start date: 2017-08-01, End date: 2022-07-31

The emergence of participatory governance has resulted in the delegation of governmental responsibilities to citizens. Individuals position themselves as voluntary mediators, or brokers, between the government and their fellow citizens. This research asks: what are the roles of such brokers in participatory urban governance, and how do they influence democratic governance? This study will investigate ethnographically how brokers position themselves in administrative schemes, and examine the formal and informal dimensions of their performance. It will analyse the practices, discourses and networks, both in and out of officially sanctioned channels and government institutions. The research approaches brokers as ‘assemblers’, connective agents who actively bring together different governmental and citizen actors, institutions and resources. The scholarly debate on brokerage within participatory governance is divided into two different arguments: first, an argument about neoliberal deregulation located in the Global North, which encourages the practices of active citizen-mediators, and second, a modernization argument in the Global South, which sees brokers as remnants of a clientelist political system. This research will combine these arguments to study settings in both the North and the South. It employs a comparative urbanism design to study four cities that are recognized as pioneers in democratic participatory governance, two in the North and two in the South: Rotterdam (NL), Manchester (UK), Cochabamba (Bolivia) and Recife (Brazil). This research builds upon theories from political anthropology, urban studies, citizenship studies and public administration to develop a new framework for analysing brokerage in participatory urban governance. Understanding how the formal and informal dimensions of participatory governance are entwined will contribute to our ability to theorize the conditions under which this type of governance can give rise to more democratic cities.

1 497 570 €

Start date: 2016-08-01, End date: 2021-07-31