Beijing 2019 - Scientific Big Data and Machine Learning
9-20 September 2019, Beijing, China
Participants in the Training Workshop will also attend the?CODATA 2019 Beijing?Conference: Towards next-generation data-driven science: policies, practices and?platforms. ?Applicants are encouraged also to submit a paper or poster for the?conference.
The deadline for applications is 11:59 pm CST (UTC+8) on 30 May.
Due to advances in information technology, we are witnessing an explosion in digital data?through all forms of human activity: much of this data can also contribute to the?production of knowledge for all domains of enquiry and across domains, as well as?providing essential information for decision-making in response to global challenges such?as sustainable development, disaster risk reduction, climate change, the growth of cities,?the maintenance of biodiversity etc., etc. In order to meet the many global challenges?and to take advantage of the opportunities of the data revolution, it is imperative to?develop global skills and capacity in the science of data.
The mission of CODATA, the Committee on Data of the International Science Council, is?to support the advancement of science as a global public good by promoting improved?research data management and use, and by advancing data science and the enhanced?exploitation of data in all areas of scientific research. Building data science capacity in?countries with developing and emerging economies (in part through promoting technical?training in data science, in data management and in the implications of the data?revolution for science) is an important part of CODATA’s strategy.
The training program offered aims to engage participants with a number of facets of data?science and data management in the age of the data revolution and Big Data. Topics?include, but are not limited to:
- Basic data science skills (e.g. Introduction to data infrastructures in CAS, data?carpentry, data management plan)
- Machine learning and data driven scientific discovery
- Scientific data policies, good practices, norms, specifications and standards
- Selected disciplinary scientific data stewardship exemplars (e.g. geoscience,?biology, genomics, astronomy, etc)
You will be asked to complete an application form with personal information and to submit?supporting document.?Once you have created an account and entered the personal information you will need to click on [Submission] to access the page to upload your supporting document.
The personal statement should describe your interests and why you want to do the?Training Workshop. ?You should answer these questions:
- What expertise and qualities would you bring as a participant?
- What specific topics would you like to cover and how will this help you?
- How would you hope to apply the experience gained from the course in your?own country??