When we see something we can easily detect patterns, we can spot anomalies, we can verify similarities. That’s why when dealing with data it is particularly important to reach the visualization part as early as possible. It can significantly speed up the identification of data problems but also help to better communicate and illustrate the research findings.
Automatic Detection of Leadership from Voice and Body Evidence-Base Environmental Policy Advice Grand Challenges and the Role of Business Firms Redesigning the pharmaceutical R&D landscape for the post-COVID-19 economy Shaping the future of mobility Shaping the future of work Socially Inclusive Technologies for Shared Prosperity Systemic Risks and Sustainability Toward Interpretable Machine Learning
air pollution Airline ticket tax automation Big Data Carbon neutrality co2act Consumption Corona loans Covid-19 ecological taxes economy Explainable AI green GDP immigration impact investing inclusive capitalism inclusive growth Launch E4S Lockdown release Machine Learning Monitoring Switzerland pollution Responsible management self-employed shared prosperity Sustainable technology Swiss vote