Scientists often make assumptions about the future when planning research, but they rarely test these assumptions. This can lead to a mismatch between current research and future needs, especially as technology and global conditions change rapidly. During the COVID-19 pandemic, researchers had to quickly adapt to new challenges, highlighting the need for better foresight. The rise of artificial intelligence presents similar challenges. The article suggests using “futures studies” to anticipate various outcomes and adjust research priorities accordingly. This approach, called translational foresight, would make research goals clearer and more adaptable, similar to how translational medicine connects lab discoveries to patient care. By integrating these methods, scientific institutions can better prepare for future challenges and opportunities.
QUESTION: How might adopting translational foresight in scientific research impact the way new technologies are developed and implemented in society?
The science of foresight: how to future-proof your research
