[CODATA-international] CODATA International Training Workshop on Scientific Big Data and Machine Learning

Asha CODATA asha at codata.org
Fri May 10 06:46:10 EDT 2019

*9-20 September 2019, Beijing, China*
*Deadline for Applications, 30 May 2019*
*Further information and application
form: http://ccit2019.csp.escience.cn/dct/page/1

CODATA China and the Computer Network Information Center, Chinese Academy
of Sciences are organizing an international training workshop on
"Scientific Big Data and Machine Learning" in Beijing from 9-20 September
2019. Supported by CODATA, CODATA China has successfully held similar
training workshops since 2012 and this is the 5th event in the series. The
training course is funded by the Chinese Academy of Science and qualified
applicants will receive full support for travel to Beijing as well as their
subsistence and accommodation when at the workshop.

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
   - Selected disciplinary scientific data stewardship exemplars (e.g.
   geoscience, biology, genomics, astronomy, etc)

A number of activities will be organized involving elite Chinese
scientists, in order to promote knowledge sharing and to develop
opportunities for future exchanges and collaboration. Participants will
benefit also from visits to a number of leading research institutes of the
Chinese Academy of Sciences (CAS). During these visits, participants will
have the opportunity to learn from the scientific approach, management
expertise, knowledge development and practical application which
characterize activities at CAS institutes working at the frontiers of
research. Furthermore, the program will promote interaction and exchange of
knowledge between experts and participants and among participants who will
benefit greatly from exchanges with colleagues for a variety of academic
and national backgrounds.

*How to Apply:*
Apply at *http://ccit2019.csp.escience.cn/dct/page/70005
<http://ccit2019.csp.escience.cn/dct/page/70005>* to complete the online
form and to submit the necessary support documents.  *The deadline is 23:59
CST (UTC+8) on 30 May.*

*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 supporting document should comprise your CV, a personal statement
(of no more than one side) and references combined as a single PDF
file (maximum volume 20MB).

The personal statement should describe your interests and why you want to
do the Training Workshop.  You should answer these questions:

   1. What expertise and qualities would you bring as a participant?
   2. What specific topics would you like to cover and how will this help
   3. How would you hope to apply the experience gained from the course in
   your own country?

Please consult *Eligibility
<http://ccit2019.csp.escience.cn/dct/page/70002>* and *Important Dates

Further information about the *training programme
<http://ccit2019.csp.escience.cn/dct/page/70004>*and *contact details
<http://ccit2019.csp.escience.cn/dct/page/70006>* is available on the *Training
Workshop Website <http://ccit2019.csp.escience.cn/dct/page/1>*

*Deadline Approaching!*

Call for Applications: African Open Science Platform School of Research
Data Science, in collaboration with the CODATA-RDA Data Schools
- deadline
10 May

*Data Science Journal News*

Growing the Conversation on the Science of Data
: CODATA announces Mark Parsons as the new Editor-in-Chief
the Data Science Journal <https://datascience.codata.org/>

*Stay in touch with CODATA:*

Stay up to date with CODATA activities: join the CODATA International News

Looking for training and career opportunities in data science and data
stewardship?  Sign up to the CODATA early career community-run data
science training and careers list

Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Council for Science), 5 rue
Auguste Vacquerie, 75016 Paris, FRANCE
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