This conference aims to create a bridge between different disciplines and highlight versatile technologies, methods and algorithms presented by renowned researchers across academia and industry. The main topics encompass the full life cycle of research data including Data Management and Infrastructure, Data Analysis and Machine Learning, and Data Communication. The conference will provide a unique platform for the exchange of ideas, knowledge, and experiences in the field of FAIR data management and data science and will foster collaborations across disciplines.
There is no application fees – registration is free. Start your application HERE.
The call will open Monday 27. November 2023
If you wish to attend our conference, you will need to apply and submit an abstract* in our application system: Oxford Abstracts
- If you have not used the system before, click REGISTER to create an account.
- You will then receive a mail with which you can login.
- When you have logged in, you can apply to the conference under the name: Data Science for Planetary and Human Health: The True Life Cycle of Multi-omics Data
- Please fill out applicant info and abstract.
*If you are from industry or if, for another reason, it does not make sense for you to submit an abstract, you can apply with a motivation instead. Our scientific committee will evaluate your relevance for the conference based on your motivation.
SHORT TALKS: Some applicants will be invited to give a short talk during the conference based on their submitted abstract. Selected applicants will be notified in the spring of 2024.
Registration fee for all approved applicants are covered by the Novo Nordisk Foundation. Travel expenses to and from the conference venue and accommodation will be at your own expense.
Oxford Big Data Institute, UK
KTH Royal Insitute of Technology, SE, US
Boston Medical University, US
Harvard Medical School, US
Universidad Autónoma del Estado de México, MX
University of Copenhagen, DK
Universität Bayreuth, GE