The "Technology for the next Generation" prize is meant to support young scientists and startups who are doing research for the health of the next generation. We are interested in the following list of topics – but we are open for other suggestions:
- Cell renewal and health – Why are humans aging?
- Genetics – is aging and diseases genetically predetermined?
- Telomeres in context of gerontology.
- Are you working on a project or do you have an idea to improve next generation health?
The analysis of large data set ("big data") is getting crucial. Here, we see an interesting overlap of these fields with computer sciences. For this reason, we wish to support scientists and startups in this field. However, this is just one aspect where we think we could be supportive.
Are you working on your Bachelor, Master or PhD thesis in one of the mentioned areas or do you need support? Or are you part of a startup in this field? Apply now! Or send us a Mail if you have any questions.
Application deadline: 15. November 2019
Award: 15. December 2019
! Most likely the price is awarded in 2020 again !
The prize is valued at CHF 10'042.00. 60% of the prize is paid out and 40% provided as IT service. With IT service we think of support with data analysis, statistical studies with R, programming in Python, database cluster and computing power, advice in choosing hard- and software.
"With the first-time foundation of the Technology for the Next Generation prize, we want to break new ground as part of our social commitment and have tried to choose a goal with whom a large part of our employees, customers, and society can identify. Especially as a father of two healthy children, we want to take full responsibility for our and future generations and are convinced that IT can be of great help in this area as well." – Christian Hensel
The winners of the "Technology for the next Generation" prize 2019 are Asier González Seviné and Stefan Imseng from the Biozentrum, University of Basel with their project "Unleashing the clinical benefit of selective mTORC1 inhibition".
Would you like to contribute to the award or project? Or do you have feedback?
Contact: Christian Hensel, email@example.com