Applications are invited from early career researchers as well as from research leaders and managers of research institutes from countries with developing or emerging economies to participate in the CODATA International Training Workshop in Big Data for Science, Beijing, 4-17 July 2016.
Participation for successful applicants will be financially supported, thanks to a grant from the Chinese Academy of Sciences (CAS).
Applications should be completed on the attached form, providing all the requested information and an academic CV.
Completed applications should be submitted to both the addresses below by the deadline of00.00 UTC on 18 April 2014:
Workshop Objectives
In today’s data-rich world, streams of digital data are being generated from science facilities and myriad sensors (telescopes, video cameras, traffic monitors, magnetic resonance imaging machines, and biological and chemical sensors monitoring the environment etc). Combined with the increasing ability for large-scale storage, communication and analysis, the Data Revolution presents major opportunities for science. The Science International Accord on ‘Open Data in a Big Data World’ http://www.icsu.org/science-international/accord highlights the most important issues to be addressed if these benefits are to be realized. These include the Open Data imperative, the need to maintain the scientific self-correction and the ethical constraints which must be respected. Equally important is the need for open global participation in the benefits of the Data Revolution. Systemic capacity building and targeted training in Big Data and data science are essential if this is to be achieved in countries with emerging or developing economies.
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 Big Data 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 Big Data age. Topics include, but are not limited to, interdisciplinary applications of open research data, data intensive research, data management policies, cloud computing, visualization, analytics and data infrastructure development in the Big Data Age. Through a mix of theoretical study, workshop and practical sessions as well as field visits, the organizers aim to help participants develop a deeper expertise in the latest Big Data technologies for scientific discovery.
The CODATA International Training Workshop in Big Data for Science shares the objectives and much of the content of the CODATA-RDA Research Data Science Summer Schools http://www.codata.org/working-groups/research-data-science-summer-schools and is partnering with that initiative. Applications are invited from:
- early career researchers with an interest in data science, and
- research leaders and managers of research organisations who are interested in putting on a similar short course at their home institution or with partners in their country.
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). In these visits, participants will have the opportunity to learn from the scientific approach, management expertise, knowledge development and practical application that 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.
On 7-8 July, the International Society for Digital Earth http://www.digitalearth-isde.org/ is convening the 6th Digital Earth Summit http://www.isde2016summit.org/ a major event involving many international experts and in which CODATA is playing an important role. Participants in the training workshop will also benefit from participation in the Digital Earth Summit.
For further information, course content and eligibility requirements see http://www.codata.org/news/105/62/CODATA-International-Training-Workshop-in-Big-Data-for-Science-Beijing-4-17-July
CODATA China International Training Workshop in 2014 http://www.codata.org/events/workshops/workshops-2014/big-data-science-training-workshop-beijing
CODATA China International Training Workshop in 2014 on FaceBook https://www.facebook.com/media/set/?set=a.1027719727262936.1073741832.1022805797754329&type=3
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Data Science Journal, Call for Papers: Advances in Data Modelling and Knowledge Representation for Research Data, deadline 31 March 2016:http://datascience.codata.org/
Call for Nominations for CODATA Officers and Executive Committee Members: Deadline 1 April 2016: http://www.codata.org/news/101/62/Call-for-Nominations-for-CODATA-Officers-and-Executive-Committee-Members-Deadline-1-April-2016
CODATA International News and Discussion List: http://lists.codata.org/mailman/listinfo/codata-international_lists.codata.org
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Dr Simon Hodson | Executive Director CODATA | http://www.codata.org
E-Mail: simon@codata.org | Twitter: @simonhodson99 | Skype: simonhodson99
Blog: http://www.codata.org/blog
Diary: http://bit.ly/simonhodson99-calendar
Tel (Office): +33 1 45 25 04 96 | Tel (Cell): +33 6 86 30 42 59
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