Dividing a set of items in a commonly acceptable way is a crucial objective in resource allocation. This research introduces suitable definitions of fairness in situations where the available resources or the agents preferences can change over time, as does for instance a food bank’s inventory, and designs procedures that always output fair allocations.

Dark tourism (travel in places of atrocity, conflict, death and disaster) is a complex phenomenon with important cultural, socio-political and economic implications at local, regional and international levels. Building on prior research conducted in Jordan and brief stays in neighbouring West Bank in 2010, I propose to investigate dark tourism in areas of active or simmering socio-political conflict, specifically in the Palestinian West Bank. Research questions to be explored revolve around the ways in which tourism in conflict places exists in spite of the ongoing conflict; the role of affective and emotional tourism experiences in shaping identity of conflict places; and the dynamics of affects and emotions, that is the ways they are negotiated and transferred between tourists and local tourism stakeholders. The aim of this proposal is, therefore, threefold: (1) to advance a theory of critical dark tourism by combining cultural theory of affect and emotion with psychoanalytic theory; (2) to examine, through tourism ethnography, the ways affects and emotions are experienced in such ways so as to shape place identity in conflict-affected areas; and (3) to propose the theoretical psychoanalytic concepts of (counter-)transference and projection when interpreting the ways emotions and affects are negotiated by tourists and local tourism stakeholders in conflict places. I propose to be based in Bethlehem for eight months during two major tourism seasons, where I will conduct ethnographic work, collect field information through interviews with tourists and local tourism stakeholders, and through participant observation. Findings from this project will contribute to the development of novel cross-disciplinary methodologies, and of a critical theoretical approach to study dark tourism in conflict places. This is highly needed not only to strengthen the research sub-field of dark tourism, but also to improve planning and development of tourism in conflict-affected areas in more socio-politically and culturally sustainable ways.

In this proposal we aim to study how humans interacting in social and economic networks learn from their own experience and that of their social contacts. We are planning to conduct a number of studies all centring on the question of how (possibly non Bayesian) decision makers learn in networks and how they update their beliefs about the probability of different events if they receive new information from a neighbour in the network. This question has widespread applications for example to explain phenomena like herding, persuasion bias, the importance of airtime or the emergence of political polarization. In the first part of the project we use theoretical models, laboratory experiments, and field data to understand how people update their beliefs if they receive new information from a neighbour in the network. Standard theory would say that agents should rely on Bayesian updating in these situations. This may prove to be arbitrarily complex in a social network. We plan to run several laboratory experiments to study how information updating takes place in networks. Insights gained from our theory can help in the design of some of the experiments. Using a large data-set of 7 million Austrian households will allow us to test some of the predictions derived with our theory in the field. Finally we want to apply the insights gained to develop a flexible model of information updating in networks that works also if agents have only partial information about the network. In the second part of the project we will study how agents learn in social networks more generally. Since information processing is a key ingredient of any learning process, this second part will build on the first part of the study. We will rely mostly on laboratory experiments and possibly some theoretical modelling here.

This research project examines how recent challenges, such as increased economic uncertainty and ethnic diversity, have affected inequality and support for the welfare state in European countries. It also investigates the work incentives embedded in the existing tax- and benefit systems and how these affect individuals? behaviour, both in the short and in the long run. This information is a crucial input to governments? decisions on how to finance the welfare system and redistribute income while maintaining incentives to work and avoiding poverty traps. The project is divided into three strands. We first measure inequality developments using multidimensional and lifetime perspectives, and assess how different EU tax and benefit systems reduce economic vulnerability. Second, we investigate support for redistribution, asking how ethnic diversity affects people?s support for the welfare state and, using methods from experimental psychology, examining the determinants of redistributive attitudes for different groups. Third, we investigate the work incentives embedded in the existing tax and benefit systems and how these affect individuals? behaviour, both in the short and in the long run, taking into account issues like the complexity of the tax design. The research will produce academically meritorious publications and highly policy relevant guidance on reforms to the redistributive side of the welfare state. The research will use comparative micro data across European countries and detailed register data from individual countries. The project unites economists, political scientists, sociologists and psychologists with extensive experience advising governments and the EC on policy design.

This research project examines how recent challenges, such as increased economic uncertainty and ethnic diversity, have affected inequality and support for the welfare state in European countries. It also investigates the work incentives embedded in the existing tax- and benefit systems and how these affect individuals? behaviour, both in the short and in the long run. This information is a crucial input to governments? decisions on how to finance the welfare system and redistribute income while maintaining incentives to work and avoiding poverty traps. The project is divided into three strands. We first measure inequality developments using multidimensional and lifetime perspectives, and assess how different EU tax and benefit systems reduce economic vulnerability. Second, we investigate support for redistribution, asking how ethnic diversity affects people?s support for the welfare state and, using methods from experimental psychology, examining the determinants of redistributive attitudes for different groups. Third, we examine how welfare states can best be financed, including an analysis of policies targeted to boost labour supply among the low-skilled and elderly, and of how complexity of tax design affects its redistributive effects. We also produce new evidence on the long-run distortionary effects of taxes. The research will produce academically meritorious publications and highly policy relevant guidance on reforms to the redistributive side of the welfare state. The research will use comparative micro data across European countries and detailed register data from individual countries. The project unites economists, political scientists, sociologists and psychologists with extensive experience advising governments and the EC on policy design.