In this episode, we discuss the problem of declining R&D efficiency with Dr. Jack Scannell, a scientist and entrepreneur who is well known for coining the term “Eroom’s law,” which highlights the decline in pharmaceutical research and development (R&D) productivity over several decades.

In this episode, Jack sheds light on the root causes of this decline, beginning with a critique of the poor quality of diagnosis surrounding the R&D productivity problem.

He also talks about the challenges in accurately measuring progress in drug research, highlighting the "measurement problem" in the drug industry. Jack suggests adopting a model akin to the "Stern Review” to improve the diagnosis of these challenges.

Jack also addresses topics such as the shift in the frequency of serendipitous drug discoveries, the Eroom’s law article, the entanglement of science, money and drug development and many more.

Feel free to navigate through any of the topics discussed in the Podcast using the timestamps below.

___

⭐ Timestamps:

0:00 Intro

01:40 Poor quality of diagnosis of the R&D productivity problem

04:01 The measurement problem

09:21 Chesterton’s fence of R&D

14:38 Science, Drug development, Money.

20:46 The role of Serendipity in drug discovery

26:34 Economics in the drug industry.

34:43 Implicit knowledge within Biotech

41:43 Eroom's Law paper

____

If you prefer listening to podcasts on audio apps, feel free to search for "The DeSci Podcast" on Spotify, Google Podcasts & Apple Podcasts. You'll also find all links to the podcast apps below.

If you want to join us on the show as a speaker or have guest ideas, please shoot us an mail at podcast@molecule.to

Special thanks to

Lea Degen: https://twitter.com/lealeata

Jack Scannell: https://twitter.com/JackScannell13

____

Let's connect:

Website: https://bit.ly/3d6nh2C

X: https://twitter.com/Molecule_dao

Discord: https://discord.com/invite/moleculedao

479: Why You Can’t Play YouTube the 'Old Way' Anymore

The Think Media Podcast

Ad break

The AI-powered Podcast Player