Think Tank: Exploring further collaborations and partnerships on personalized nutrition and data science
Interdisciplinarity has become ever more important within academia. With this in mind, we are excited to announce a first introductory meeting to explore opportunities for further collaborations and partnerships between researchers from different departments and Institute of Data Science (IDS) on the topic of “Personalized Nutrition” (PN).
The goal of this meeting is for colleagues across different departments at Maastricht University to introduce themselves and their work, to get to know each other’s research interests and to explore opportunities for research, funding and/or education collaborations.
We would like each of you to actively participate in this meeting by preparing 1 Powerpoint slide to briefly introduce yourself, your research interests and previous relevant research projects, networks, and experience. The main idea with this pitch is to help participants from the other departments identify opportunities to collaborate with you.
If you think that your work might add something valuable to the discussion, please indicate whether you would need more time (up to 5 minutes).
In addition, we would like you to already think about possible collaborations. If you have ideas, please do not hesitate to share them with us in your presentation.
|08:45||Walk-in and welcome (coffee/tea and cake)|
|09:00||Welcome and set-up think tank meeting
|09:10||Introduction and challenges from biological perspective to personalized nutrition
|09:20||Introduction and challenges from biological perspective to personalized nutrition
|09:30||Pitches by researchers|
|10:30||Break (coffee/tea and cake)|
|10:45||Breakout session by subtopics and interests|
|11:45||Summary and action items
Moderators: Remzi Celebi, Linda Rieswijk and Michiel Adriaens
|11:55||Closing remarks and follow-up|
|12:00||End of the event|
Please upload your pitch (in .ppt format and name then as “your-last-name_name-of-your-department” (e.g. Celebi_IDS) to our Google Drive.
Institute of Data Science (IDS)
- Remzi Celebi
- Linda Rieswijk
Maastricht Centre for Systems Biology (MaCSBio)
- Michiel Adriaens