Intro

Data science is a rapidly growing interdisciplinary field that combines aspects of data standardization, statistics, mathematics, computer science, and domain-specific knowledge to extract insights from data. With the exponential growth of data, there is an increasing need for making these data Findable, Accessible, Interoperable and Reusable (FAIR) and for effective and efficient data analysis methods, making data management and data science essential to modern-day research. Data science provides a framework for solving complex One Health problems and generating new hypotheses and is a unifying factor across research fields.

The conference aims to create a bridge between the different disciplines and highlight versatile technologies, methods and algorithms presented by renowned researchers across academia and industry. The main topics will encompass the full life cycle of data science 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. It will provide the perfect opportunity for young researchers to show their research in an excellent and inspiring set up with top researchers in the different topic areas of the conference. This conference will aim to provide new ideas and open the minds of researchers to new methods, showcased in different domains but applicable for solving diverse issues. Further, this conference will highlight the interconnectedness of human and environmental health, acknowledging the importance of multidisciplinary and collaborative efforts to better understand and address the complex health challenges facing our world today.

Topics

• Data Management and Infrastructure
• Data Analysis and Machine Learning
• Data Visualization and Communication

Organising committee

Alberto Santos Delgado, Novo Nordisk Foundation Centre for Biosustainability

Lea Sommer, Novonesis

Kasper Lage, Novo Nordisk Foundation Centre for Genomic Mechanisms of Disease at the Broad Institute of MIT and Harvard

Expert panel

Shilpa Garg, Senior Researcher and Group Leader at the NNF Center for Biosustainability

Simon Rasmussen, Associate Professor and Group Leader at the NNF Centre for Protein Research

Tune Pers, Associate Professor and Group Leader at the NNF Centre for Basic Metabolic Research

Richard Dennis, Research Consultant Data Management, NNF Centre for Stem Cell Medicine

Prof. Jens Vinge Nygaard, Department of Biological and Chemical Engineering – Medical Biotechnology, Aarhus University

Line K.H. Clemmensen, Associate Professor, Department of Applied Mathematics and Computer Science, DTU

How to apply

The event has reached full capacity and is closed for applications.

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.