How different are young people today from their parents and grandparents? How different is the world today than it was one or two generations ago? How are education, work or relationships different? How do we coexist as generations? Where do misunderstandings come from? What are the cultural perceptions of aging in your country? Do modernization, the internet, and social media impact our perceptions of aging? 

What are beauty standards in your country? Should some standards define beauty? How are beauty perceptions influenced by race, ethnicity, socioeconomic status, age or other cultural norms? Do beauty standards objectify women? Is men’s beauty perceived in the same way as women? In what ways do social media, traditional media, and globalization impact our perception of beauty? What steps can we take to actively address and combat body shaming?

Artificial intelligence and machine learning, embedded in the technologies that we consume daily, are likely to take more space in our lives through multiple applications. Are we becoming more like robots as we try to make robots more like humans?  What are the limits of artificial intelligence and to what extent can we trust it? Can we develop bias free and empathetic technologies that can improve our lives better than humans can?

Access to primary resources such as water, food and energy is increasingly difficult everywhere in the world. With climate change, natural disasters and growing inequalities, access is a global challenge. But is it a question of scarcity, distribution or usage? What should responsible resource management look like in the next decades? What economy should we build for a better distribution of scarce resources?

How do social media algorithms influence political beliefs and public discourse? How may these algorithms fuel polarization and misinformation? What are the implications of algorithm-driven information on democracy? How can we become more conscious of our media consumption? What solutions could help mitigate the negative effects of these algorithms? How can we get out of polarization and how can we burst our algorithmic bubbles?