Seeing is Believing:
Toward Interpretable Data Visualization
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.
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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