This study explores the preference for remote work by sending thousands of randomized messages to tutors advertising on an online platform across Greece. The messages requested either in-person or online tutoring. Requests for online lessons were roughly 50 percent more likely to receive a...

Campus closures due to COVID19 created uneven student-level exposures to the challenges of home-based virtual learning. Using university administrative data, and exogenous class-level differences in pre-pandemic on-campus housing assignments for parallel trend validation, this paper unpacks...

The rapid rise of Artificial Intelligence (AI) brings forth an array of challenges and concerns that might hinder adoption and prevent the seizing of innovation opportunities. Coupled with the low success rate of digitalisation projects, the urgency for a structured approach to AI-driven...

Leib et al. (2024) examine how artificial intelligence (AI) generated advice affects dishonesty compared to equivalent human advice in a laboratory experiment. In their preferred empirical specification, the authors report that dishonesty-promoting advice increases dishonest behavior by...

(1) Background and objectives: Global crises such as climate change, pandemics, and resource depletion present unprecedented challenges that require coordinated and innovative responses. This study advocates for a bottom-up strategy by proposing and developing tools that empower individuals and...

Education, notably higher education, faced a significant challenge during the last period. Our data exploratory study aims to provide insights into the key factors that define students' Distance Learning (DL) in the current period. Based on the main findings, we justify our bold proposition for...