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Wages have been spreading out across workers over time – or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the United States, we show that the distributions of both wages and productivity have spread out over time, as the right tail lengthens for both. We add Organization for Economic Co-Operation and Development (OECD) countries, showing that the wage–productivity correlation exists, such that gains in aggregate productivity, or GDP per person, have resulted in higher wages for workers at the top and bottom of the wage distribution. However, across countries, those workers in the upper-income ranks have seen their wages rise the most over time. The most likely international factor explaining these wage increases is the skill-biased technological change of the digital revolution. The new artificial intelligence (AI) revolution that has just begun seems to be having similar skill-biased effects on wages. But this current AI, called “supervised learning,” is relatively similar to past technological change. The AI of the distant future will be “unsupervised learning,” and it could eventually have an effect on the jobs of the most highly skilled.

A growing number of human rights NGOs have placed international volunteers in conflict zones from Guatemala and Colombia to Palestine and Iraq. This study samples from contemporary high-risk transnational activists and highlights the variation in biographical steps taken toward the shared outcome of participation in human rights work (HRW). Data was collected through 6 weeks of participant observation in Israel-Palestine, 21 in-depth interviews, and 28 shorter focused interviews with human rights workers (N=49). Oversampling from the International Solidarity Movement reveals how the unique constraints and opportunities presented by a particular conflict zone and NGO culture impacts self-selection into HRW. Grounded theory and Boolean methodology aided in identifying four main pathways (the nonviolent activist, peace church, anarchist, and solidarity pathways) to HRW as well as biographical patterns and complexities that have been underemphasized in the existing literature. These include the salience of transformative events and attitude changes in the process of constructing a cosmopolitan identity and committing to high-risk transnational activism.

Although entrepreneurial capacity building is a keenly debated topic in migration and diaspora research, the concept of female entrepreneurial capacity and the framing of highly skilled migrant women has remained underexamined. This chapter, therefore, addresses knowledge gaps related to migrant women entrepreneurs (MWEs) by focusing on the entrepreneurial experiences of highly skilled female migrants from both developed and developing countries. Specifically, we turn the ‘disadvantage’ lens towards migrant women’s inherent entrepreneurial dimension, an issue that deserves greater research attention, linking migrant women and their entrepreneurship to the entrepreneurial host context and business environment. Building on rich qualitative data collected via six semi-structured interviews with MWEs based in Finland, we also make practical suggestions for how MWEs can best engage with their entrepreneurial ecosystem as well as suggestions to policy-makers regarding how to improve gender awareness and migrant inclusivity aspects of entrepreneurial ecosystems.