Evidence based entrepreneurship
The ideal springboard to translate synthetic biology ideas and technologies into successful and industrially viable products and services.
SynbiCITE is delighted to be able to offer all its partners the unique opportunity to participate in The Lean LaunchPad for Synthetic Biology. You can be part of a programme that has helped numerous would-be entrepreneurs translate research ideas into successful products and services.
The Lean Launchpad for Synthetic Biology is based on the Lean Launchpad Life Sciences programme, developed by Steve Blank at UCSF. This program has been taught at Stanford, Berkley, Columbia and Caltech, and is being adopted by US NSF as part of its Innovation Corps curriculum. The Lean LaunchPad for Synthetic Biology teaching faculty includes Prof Jerry Engel, the Faculty Director of the National Science Foundation Innovation Corps (and the Founding Faculty Director of the Lester Center for Entrepreneurship at UC Berkeley).
The Lean Launchpad for Synthetic Biology course is a 10-week long programme for those looking to commercialise their research. The programme is an ideal pre-accelerator environment for helping students, academic and industrial researchers, and pre-seed companies identify their customers, interview them to get insights about the opportunity, and help them build the right product for these customers.
You will need to commit to one-day per week in addition to class time for this programme to be successful. The course content includes customer discovery and development methods, the Business Model Canvas and topics specific to the commercialisation of synthetic biology.
The goal of the programme is to create the entrepreneurial experience of an early stage start-up. The programme provides access to mentors, entrepreneurs or executives with deep business experience, to provide insights and guidance.
How to Apply
To apply, please send a completed Business Model Canvas of your company/opportunity, along with a completed Team information template, to firstname.lastname@example.org. If you are pre-selected, you will be called for an interview. There will be a maximum of 10 teams in the program. You can be one of them!