About this module
Translation of deep-tech research involves bringing out the core differential, understanding how it actually moves the needle in terms of technology, and how it can be of societal impact by addressing pain points.
This course will encourage PhD students to be innovators at heart while conducting their research. It will specifically focus on the use of AI to generate value in a variety of science and technology fields.
It will also create space for interdisciplinary discussions across different fields where the research content may be different, but the innovation pathways are shared via the use of AI.
People
Weekly schedule
Every session runs Fridays, 1:00–3:00 PM at BIZ2-0202.
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W1
Fri · 14 Aug
Initial discussion with students - their ideas about innovation - what is innovation - Listening week
- Case study 1: Thinking Machines Corp
- Case study 2: Optane
- Case study 3: SalesForce
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W2
Fri · 21 Aug
Fish model of PhD — placing of innovation with respect to research
- Continued and more structured discussion of the three case studies
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W3
Fri · 28 Aug
Example of successful AI-driven innovation — AutoCodeRover / BetterData/ ...
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W4
Fri · 4 Sep
Funding model — visit by VCs
- Hsien-Hui Tong, Executive Director-Investments, SG Innovate
- Nicholas A. Nash, Managing Partner, Asia Partners
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W5
Fri · 11 Sep
Discussion by students on their PhD — the role of AI driven innovation - I
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W6
Fri · 18 Sep
Discussion by students on what role AI can play in innovation of their deep-tech PhD - II
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22–26 Sep · no class
Recess week
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W7
Fri · 2 Oct
Discussion of sample pitch deck by instructor/TA
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W8
9 Oct · no class
NUS Well-being Day
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W9
Fri · 16 Oct
Sharing by Venture Architects - Go to Market (GTM) strategies
- Dr Sid Andalam<, NUS Enterprise
- Dr Rosalind, NUS Enterprise
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W10
Fri · 23 Oct
Sharing by successful academic entrepreneur / innovation experts
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W11
Fri · 30 Oct
Pitch by students - I
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W12
Fri · 6 Nov
Pitch by students - II
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W13
Fri · 13 Nov
Group exercise: meet in class and craft a joint report together
Materials
Session slides
Readings & references
Papers and links will be posted here as the sem goes on.