Mobility is a fundamental human need, and an essential enabler of prosperity. Sadly, the current mobility paradigm is not sustainable; car travel causes millions of deaths every year, significant greenhouse emissions, and congested highways, causing huge financial losses. Nevertheless, there is hope – the global mobility system is in the early stages of massive transformation as new technologies enable innovative related businesses, and as policy-makers seek out ways to foster mobility that is smarter, cleaner, and more inclusive.

Whether it’s software as a medical device, clinical decision support (CDS), predictive diagnostics, health IT systems, health apps, fitness trackers, wearable devices or telehealth systems – digital health is rapidly changing how we predict, monitor, manage and make decisions about health. Currently, dozens of established companies as well as emerging startups are constantly working on disrupting this innovation-dependent industry. As such, healthtech is one of the fastest growing vertical markets within the health sector.

As more than half of the world’s population lives in cities nowadays, urban innovation is a topic that can influence quality of life for billions of people – dense cities provide the testbeds for innovative solutions, more efficient and sustainable processes and new forms of governing. Urban Innovation enables not just smarter things, but smarter decisions. A truly data driven smart city uses technology to promote better decision-making for city officials and its residents living in and around it.

Future of Work

The world of work is changing fast – and creating healthy new work models will be necessary to build a sustainable and safe labour environment for our society. The most successful approaches will take into account shifting demographics, changing job roles and digitalization, and will leverage disruption as a means to design workplaces that best serve everyone’s long-term needs. Having been affected by COVID-19 this year, the current labour market and working models are ready to be challenged and disrupted.