Search results

Granting ‘sanctuary’ in the United States to those fleeing poverty and violence is rooted in a deep history of hospitality and compassion. As we are witnessing a rise in xenophobia accompanied by policies of exclusion, we also see a rising number of ‘sanctuary jurisdictions’ limiting their cooperation with immigration authorities that many communities consider are using extremely harsh and punitive measures to detain and deport irregular migrants. As this chapter will demonstrate, there has been a dramatic increase through ‘immigration federalism’ of the number of these jurisdictions in cities, states and municipalities since the first practices of ‘sanctuary’ in the 1980s as result of the waves of forced migration due to the civil wars in Central America. The author also proposes that those entities granting ‘sanctuary’ to irregular migrants should also apply practices of ‘compassionate migration’ as described in the chapter to expand their protections further and include them in their communities.

Forecasting population movement trends is crucial for implementing effective policies to regulate labor force growth and understand demographic changes. Combining migration theory expertise and neural network technology can bring a fresh perspective to international migration forecasting research.

This study proposes a conditional generative adversarial neural network model incorporating the migration knowledge – conditional generative adversarial network (MK-CGAN). By using the migration knowledge to design the parameters, MK-CGAN can effectively address the limited data problem, thereby enhancing the accuracy of migration forecasts.

The model was tested by forecasting migration flows between different countries and had good generalizability and validity. The results are robust as the proposed solutions can achieve lesser mean absolute error, mean squared error, root mean square error, mean absolute percentage error and R² values, reaching 0.9855 compared to long short-term memory (LSTM), gated recurrent unit, generative adversarial network (GAN) and the traditional gravity model.

This study is significant because it demonstrates a highly effective technique for predicting international migration using conditional GANs. By incorporating migration knowledge into our models, we can achieve prediction accuracy, gaining valuable insights into the differences between various model characteristics. We used SHapley Additive exPlanations to enhance our understanding of these differences and provide clear and concise explanations for our model predictions. The results demonstrated the theoretical significance and practical value of the MK-CGAN model in predicting international migration.

The aim of this chapter is to investigate the immigrant women entrepreneurship phenomenon in Italy by focusing on the Polish experience. Stemming from the most current data on immigration in Italy and on immigrant women entrepreneurs and women-led firms, by analysing the regions in which these firms are grounded and the economic sectors in which they are mostly involved, this chapter presents the research programme the two authors of this book have been involved in over the last year and the first preliminary results. Specifically, the two authors engaged to compare the experiences, difficulties and opportunities of immigrant women entrepreneurs of different ethnicities/communities located in Italy. The final goal is to analyse if and how the socio-cultural background of these women counts, if and how it affects their way of doing business and what is the influence of the socio-cultural Italian context. The first group of immigrant women entrepreneurs that the authors decided to analyse are the Polish. Accordingly, this chapter presents data on Polish women entrepreneurs based in Italy and the results of an interview with an expert on this community.

The purpose of this paper is to outline how the EU figures out the importance of strengthening its relations with Egypt as one of the most strategic countries in the region to keep the union secured and stable. The paper also assesses to what extent the EU succeeds to promote democracy in Egypt.

The EU pursues its policy through a series of both bilateral and multilateral agreements with Egypt aiming at positioning their relations in a strategic context. The research adopted different approaches as descriptive and analytical ones.

Following the Arab uprisings, the EU was caught by surprise and announced a paradigm shift in its relations and introduced a set of policies to foster democracy promotion that witnessed some successes but with extremely modest results in some areas compared to the costs of the process. The EU succeeded in important reforms in trade liberalization while it did not bring clear changes in the political arena in Egypt.

The findings of this paper convey that the Arab uprisings were a wake-up call for the EU. It was the right time for the EU to conduct such a strategic and sincere reflection based on the role it wants to play in the changing region. In addition, findings prove that the EU’s response to revolutionary events has been weak and hesitant, and the EU has not an effective role in promoting democracy in Egypt.