Research Fast and Slow

Speaker:  Min-Yen Kan – Singapore, Singapore
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


Research has benefitted from the current age of accelerations, as evidenced from the increase in the publishing rate and volume of new scholarly work.  We first characterise this research fast trend and follow by discussing how NLP can help further improve research productivity through the application on NLP on scholarly discourse.  We also discuss the benefits of research slow – the active, strategic application of a mix of long-term challenges, policy and forecasting.  We end with a challenge to scholars to commit to time to slow research and its imaginative ends.

About this Lecture

Number of Slides:  35
Duration:  45 minutes
Languages Available:  English
Last Updated: 

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