Summary
Eviction – the involuntary loss of one’s home – has a devastating impact on people’s wellbeing and has severe consequences for society as a whole. During and after the financial crisis of 2007-2011, over 700,000 people in Europe either lost their homes or were at risk of losing them.
National courts use national laws to rule on whether an eviction is just. However, the right to housing, as laid down in international and European law, often demands more protection of the power- and propertyless than national laws prescribe. As a result, national courts are at the centre of the complex interaction between national and international law. In times of growing national resistance towards international law, the questions whether, how, and why international law impacts on national law are among the most topical that legal scholars face.
Evictions provide a timely opportunity to determine why international rights, such as the right to housing, may or may not have an impact on national law. The financial crisis has led to an enormous amount of case law (legal big data). The combination of the developed, but understudied, international right to housing and these vast amounts of national data offers a unique opportunity to examine the interaction between international law and national law.
It is impossible to analyse all judgments manually. Therefore, I will use a data-driven approach that is unique in the legal discipline. Using citation network analysis, I conceptualise the right to housing as a network of international rights and conduct the first empirical analysis of the impact of this right in case law from national supreme courts and lower level courts. With the use of machine learning, I will identify predictors for courts’ decisions, and explain how these predictors may mirror the right to housing. This approach has long been called for but, so far, rarely been executed. If successful, it could be used in future research projects in other areas of the law.
National courts use national laws to rule on whether an eviction is just. However, the right to housing, as laid down in international and European law, often demands more protection of the power- and propertyless than national laws prescribe. As a result, national courts are at the centre of the complex interaction between national and international law. In times of growing national resistance towards international law, the questions whether, how, and why international law impacts on national law are among the most topical that legal scholars face.
Evictions provide a timely opportunity to determine why international rights, such as the right to housing, may or may not have an impact on national law. The financial crisis has led to an enormous amount of case law (legal big data). The combination of the developed, but understudied, international right to housing and these vast amounts of national data offers a unique opportunity to examine the interaction between international law and national law.
It is impossible to analyse all judgments manually. Therefore, I will use a data-driven approach that is unique in the legal discipline. Using citation network analysis, I conceptualise the right to housing as a network of international rights and conduct the first empirical analysis of the impact of this right in case law from national supreme courts and lower level courts. With the use of machine learning, I will identify predictors for courts’ decisions, and explain how these predictors may mirror the right to housing. This approach has long been called for but, so far, rarely been executed. If successful, it could be used in future research projects in other areas of the law.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/949316 |
| Start date: | 01-01-2021 |
| End date: | 31-12-2025 |
| Total budget - Public funding: | 1 499 018,00 Euro - 1 499 018,00 Euro |
Cordis data
Original description
Eviction the involuntary loss of ones home has a devastating impact on peoples wellbeing and has severe consequences for society as a whole. During and after the financial crisis of 2007-2011, over 700,000 people in Europe either lost their homes or were at risk of losing them.National courts use national laws to rule on whether an eviction is just. However, the right to housing, as laid down in international and European law, often demands more protection of the power- and propertyless than national laws prescribe. As a result, national courts are at the centre of the complex interaction between national and international law. In times of growing national resistance towards international law, the questions whether, how, and why international law impacts on national law are among the most topical that legal scholars face.
Evictions provide a timely opportunity to determine why international rights, such as the right to housing, may or may not have an impact on national law. The financial crisis has led to an enormous amount of case law (legal big data). The combination of the developed, but understudied, international right to housing and these vast amounts of national data offers a unique opportunity to examine the interaction between international law and national law.
It is impossible to analyse all judgments manually. Therefore, I will use a data-driven approach that is unique in the legal discipline. Using citation network analysis, I conceptualise the right to housing as a network of international rights and conduct the first empirical analysis of the impact of this right in case law from national supreme courts and lower level courts. With the use of machine learning, I will identify predictors for courts decisions, and explain how these predictors may mirror the right to housing. This approach has long been called for but, so far, rarely been executed. If successful, it could be used in future research projects in other areas of the law.
Status
SIGNEDCall topic
ERC-2020-STGUpdate Date
27-04-2024
Geographical location(s)
