ERC FUNDED PROJECTS

The aim of BAPS is to develop a ground-breaking simulation model of international migration, based on a population of intelligent, cognitive agents, their social networks and institutions, all interacting with one another. The project will transform the study of migration – one of the most uncertain population processes and a top-priority EU policy area – by offering a step change in the way it can be understood, predicted and managed. In this way, BAPS will effectively integrate behavioural and social theory with modelling. To develop micro-foundations for migration studies, model design will follow cutting-edge developments in demography, statistics, cognitive psychology and computer science. BAPS will also offer a pioneering environment for applying the findings in practice through a bespoke modelling language. Bayesian statistical principles will be used to design innovative computer experiments, and learn about modelling the simulated individuals and the way they make decisions. In BAPS, we will collate available information for migration models; build and test the simulations by applying experimental design principles to enhance our knowledge of migration processes; collect information on the underpinning decision-making mechanisms through psychological experiments; and design software for implementing Bayesian agent-based models in practice. The project will use various information sources to build models bottom-up, filling an important epistemological gap in demography. BAPS will be carried out by the Allianz European Demographer 2015, recognised as a leader in the field for methodological innovation, directing an interdisciplinary team with expertise in demography, agent-based models, statistical analysis of uncertainty, meta-cognition, and computer simulations. The project will open up exciting research possibilities beyond demography, and will generate both academic and practical impact, offering methodological advice for policy-relevant simulations.

1 455 590 €

Start date: 2017-06-01, End date: 2021-11-30

"Considerable investments have been made in Europe and worldwide in research data infrastructures. Instead of a general lack of data about data, it has become apparent that the pivotal factor that drastically constrains the use of data is the absence of contextual knowledge about how data was created and how it has been used. This applies especially to many branches of SSH research where data is highly heterogeneous, both by its kind (e.g. being qualitative, quantitative, naturalistic, purposefully created) and origins (e.g. being historical/contemporary, from different contexts and geographical places). The problem is that there may be enough metadata (data about data) but there is too little paradata (data on the processes of its creation and use). In contrast to the rather straightforward problem of describing the data, the high-risk/high-gain problem no-one has managed to solve, is the lack of comprehensive understanding of what information about the creation and use of research data is needed and how to capture enough of that information to make the data reusable and to avoid the risk that currently collected vast amounts of research data become useless in the future. The wickedness of the problem lies in the practical impossibility to document and keep everything and the difficulty to determine optimal procedures for capturing just enough. With an empirical focus on archaeological and cultural heritage data, which stands out by its extreme heterogeneity and rapid accumulation due to the scale of ongoing development-led archaeological fieldwork, CAPTURE develops an in-depth understanding of how paradata is #1 created and #2 used at the moment, #3 elicits methods for capturing paradata on the basis of the findings of #1-2, #4 tests the new methods in field trials, and #5 synthesises the findings in a reference model to inform the capturing of paradata and enabling data-intensive research using heterogeneous research data stemming from diverse origins. "

1 944 162 €

Start date: 2019-05-01, End date: 2024-04-30

There has been vast improvement in workplace gender equality, but there remain marked differences in the roles in which women and men work. Explanations for this inequality have focused on the barriers women face. However, as women begin to enter male-dominated roles, a new explanation has arisen: that remaining gender inequality must reflect fundamental differences between women and men, including differences in (a) ambition and desire for power, (b) needs for work-life balance, and (c) willingness to take career risks. Central to this analysis is the assumption that the glass ceiling is broken and thus inequality must be due to women’s active choices. This explanation downplays the fact that social context continues to be a barrier to women’s success and places responsibility for gender inequality on women themselves. Indeed, there has arisen the suggestion that gender equality necessitates women overcoming ‘internal obstacles’, ‘leaning-in’ and altering their choices (Sandberg, 2013), rather than challenging the status quo. I argue that diametrically contrasting structural barriers with women’s choices is unhelpful. Instead, I suggest that women’s choices are shaped and constrained by the gendered nature of organisational and social contexts and how women see themselves within these contexts. I propose a programme of research, across 3 integrated streams, that investigates how social and organisational structures define identities and constrain women’s choices in relation to ambition, work-life balance, and career risk-taking. I have four key objectives: (1) to clarify how organisational and social contexts define identity and constrain women’s choices, (2) to use an interdisciplinary, multi-methodological approach, to produce innovative theory and data, (3) to work collaboratively with stakeholders, and (4) to inform practical interventions designed to facilitate the increase of women’s participation in hitherto male-dominated roles.

1 998 722 €

Start date: 2017-07-01, End date: 2022-06-30

In dementia at the end of life, cognitive and physical decline imply that control is typically lost. CONT-END will examine control in the context of three emerging interventions which contain a controversial element of striving for control in the process of dying with dementia: advance care planning of the end of life, use of new technology to monitor symptoms when unable to self-report, and euthanasia. To perform outstanding research, the proposed research examines control at the level of clinical practice, but also at the level of end-of-life research practice. The latter provides ample opportunities for researchers to control the research process. That is, research designs are often flexible and we will study if and how this impacts research in an emotionally charged area. I will take an empirical mixed-methods approach to study the two practices in parallel. The work is organised in three related Work Packages around three research questions. (1) In a 6-country study, I will examine if and when people with dementia, family caregivers and physicians (900 respondents) find the interventions, shown on video, acceptable. (2) A cluster-randomised 3-armed controlled trial in 279 patients and their family caregivers assesses effects of two types of advance care planning differing in level of control (detailed advance treatment orders versus goal setting and coping based) on outcomes ranging from favourable to less favourable, and whether effects differ in subgroups. Cases in which the technology is preferred or applied are observed. (3) Ethnographic fieldwork in two different end-of-life research practices and a Delphi study to synthesize CONT-END’s findings assess how researchers shape findings. This greatly improves the quality of CONT-END and provides the input to develop new methodology for improving research quality and integrity.

1 988 972 €

Start date: 2018-12-01, End date: 2023-11-30