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Professor Vladimir Mau to give Keynote at CODATA 2017

The organisers and programme committee are very pleased to announce that Professor Vladimir Mau, Rector of RANEPA will give a keynote presentation at the CODATA 2017 International Conference ‘Global Challenges and Data-Driven Science’, 8-13 October, Saint-Petersburg, Russia.

Vladimir Mau

Rector of the Russian Presidential Academy of National Economy and Public Administration (RANEPA).

Professor Mau is an expert in the field of economic theory, the history of economic thought, and national economy. He is the author of about 30 books and textbooks published in Russia and the UK as well as more than 700 other published works in several languages. Professor Mau’s research focuses on economic history and the history of economic thought in Russia and the USSR; the theory and history of economic policy, political economy of economic transformation, the evolution of the economic system of the USSR; and the experience of economic reforms, constitutional economics. Vladimir Mau is the editor-in-chief of the scholarly journal Economic Policy; he is chairman of the Editorial Board for the journal Logos; as well as member of the editorial board for various academic publications.

Professor Mau is also a member of the presidium of Russian Presidential Economic Council, member of the Presidential Commission for Civil Service and Management Personnel Pool, chairman of the Expert Council under the Government Commission on Economic Development and Integration, member of the Government Commission on Training Managerial Personnel for the National Economy, member of the Government Commission on Administrative Reform, member of the Government Commission for the Coordination of the Open Government. He is also a member of the Council of the Russian Academy of Sciences on Russian and World Economic history.

CODATA 2017 Keynotes

 

Register to Attend CODATA 2017

Register to attend the conference at http://codata2017.gcras.ru/


Apply for CODATA-RDA School of Research Data Science, Sao Paolo, 4-15 December 2017: Deadline 22 September

Applications are invited to participate in the CODATA-RDA School of Research Data Science which will be held at ICTP-SAIFR, Sao Paolo, Brazil, 4-15 December 2017.

Further information about the Sao Paolo edition of the CODATA-RDA School of Research Data Science is available at http://www.ictp-saifr.org/?page_id=15270

To apply you must use the online form which is available here http://ictp-saifr.org/sis/datasci2017step0.php 

The deadline for applications is 22 September 2017.
 
Financial Support

There is no registration fee. Limited funds are available to support accommodation, subsistence and travel support. For financial reasons, it is likely that priority will be given to travel support for students from the Latin American and Caribbean region, except in the case of particularly exceptional students.

Applicants from any region are strongly encouraged to look for alternative sources of funding to support their participation. For the recent CODATA-RDA School of Research Data Science in Trieste <link> a large number of students were able to support their participation with funding from a variety of sources including their institutions, various grants, charities and sponsoring organisations etc.

 

Target Participants

The training provided by the CODATA-RDA School of Research Data Science is primarily targeted at Early Career Researchers (advanced masters students, doctoral candidates, post-docs and young or early career academics).  The data skills taught are also useful for (data) librarians and other research support staff, such as those who envisage a career as data steward or data analysts.  Furthermore, people who are more advanced in their careers who would like to improve their data skills as a form of continuing professional development are also eligible.

 

For Your Application

Applicants are expected to have a baseline of data skills and these are tested by an online form.  In addition, applicants should pay particular attention to their personal statement and communicate persuasively their reasons for wishing to attend the School: how do they intend to use these skills, how will it benefit their research or the institution in which they work?  Finally, candidates should take pains to ensure that their application is well supported by references from their past or present tutors or line managers.  This is particularly important so that the School directors have confidence in the candidate and that the skills learnt will have the maximum benefit and impact.


About the CODATA-RDA School of Research Data Science

What can justly be called the ‘Data Revolution’ offers many opportunities coupled with significant challenges. High among the latter is the need to develop the necessary data professions and data skills.  Researchers and research institutions worldwide recognise the need to promote data skills and we see short courses, continuing professional development and MOOCs providing training in data science and research data management.


In sum, this is because of the realisation that contemporary research – particularly when addressing the most significant, inter-disciplinary research challenges – cannot effectively be done without a range of skills relating to data.  These skills include the principles and practice of Open Science and research data management and curation, the use of a range of data platforms and infrastructures, large scale analysis, statistics, visualisation and modelling techniques, software development and annotation, etc, etc. The ensemble of these skills, we define as ‘Research Data Science’, that is the science of research data: how to look after and use the data that is core to your research.

The CODATA-RDA School of Research Data Science has developed a short course, summer school, style curriculum that addresses these training requirements.  The course partners Software Carpentry (using the Shell command line and GitHub), Data Carpentry (using R and SQL) and the Digital Curation Centre (research data management and data management plans) and builds on materials developed by these organisations.  Also included in the programme are modules on Open Science, ethics, visualisation, machine learning (recommender systems and artificial neural networks) and research computational infrastructures.

The school has been successfully piloted at ICTP in Trieste in 2016 and 2017.  The vision of the CODATA-RDA Schools of Research Data Science is to develop into an international network which makes it easy for partner organisations and institutions to run the schools in a variety of locations.  The annual event at the ICTP in Trieste will serve as a motor for building the network and building expertise and familiarity with the initiative’s mission and objectives.  The core materials are made available for reuse and the co-chairs and Working Group team will provide guidance to assist partners in organising the school, in identifying instructors and helpers etc. The first school to expand this initiative will take place at ICTP-SAIFR (South American Institute of Fundamental Research), Sao Paolo, Brazil in December 2017.

Further information about the CODATA-RDA Schools of Research Data Science is available at http://www.codata.org/working-groups/research-data-science-summer-schools

Short Report on the First CODATA-RDA School of Research Data Science, August 2016 https://doi.org/10.5281/zenodo.835565

Programme for the First CODATA-RDA School of Research Data Science, ICTP, Trieste, August 2016 http://indico.ictp.it/event/7658/other-view?view=ictptimetable

Materials from the First CODATA-RDA School of Research Data Science, ICTP, Trieste, August 2016 https://zenodo.org/communities/codata-rda-research-data-science-summer-school/?page=1&size=20

Programme for the Second CODATA-RDA School of Research Data Science, ICTP, Trieste, July 2017 http://indico.ictp.it/event/7974/other-view?view=ictptimetable
 
 


Save the Date - North American DDI Conference: April 5-6, 2018

The 2018 North American Data Documentation Initiative Conference (NADDI) will be held at the Bureau of Labor Statistics of the U.S. Department of Labor in Washington, D.C. on April 5-6, 2018.

The Call for Papers will be published shortly and further details will be added to the Conference web site over the coming months. http://naddiconf.org/2018/

The theme for NADDI 2018, ‘Benefits of Describing National Statistics with Common Standards’, emphasizes the benefits of using metadata to drive efficiencies in a research data lifecycle, as well as promotes subsequent re-use of end data products, especially those generated by federal and national statistical agencies.

Aimed at individuals working in and around data and metadata, NADDI 2018 seeks submissions of presentations and posters that highlight the use of DDI and other metadata standards within research projects, official statistics, survey operations, academic libraries, and data archives.


Save the dates: IDCC18, Barcelona, 19-22 February 2018

13th International Digital Curation Conference

19 - 22 February 2018
Hesperia Tower, Barcelona

Overview

Welcome to the 13th edition of the International Digital Curation Conference.

The conference brings together digital curation professionals and educators with data producers and consumers to consider digital curation in a multi-disciplinary context.

Further details will be added to the Conference website over the coming months.

Costs and Registration

More information on costs and the registration process will be announced in the coming months. 


Deadline Approaching, Paper Submissions for the 2nd Conference Digital Belt and Road, Hong Kong, 6-8 December 2017

Following a large number of requests, the deadline for papers for the 2nd Conference of the Digital Belt and Road (DBAR 2017) and the 3rd International Conference on Remote Sensing Applications in Tropical and Subtropical Areas (RSATSA 2017) has been extended to 15 August.

The conference will be held in Hong Kong, China, on 6-8 December 2017.  Further information is available at http://www.iseis.cuhk.edu.hk/DBAR2017_RSATSA2017/introduction.html

Abstract submissions may be made here: http://www.iseis.cuhk.edu.hk/DBAR2017_RSATSA2017/submission.html

The Belt and Road region covers a vast area and involves over sixty countries and a large population, facing numerous problems related to sustainable development. The combined pressure of climate variability, intensified use of land and marine resources, and the fragility of many ecosystems in the Belt and Road countries make it very challenging to achieve the UN Sustainable Development Goals (SDGs). Therefore, the Digital Belt and Road Programme (DBAR) was initiated in 2016 by the scientists from Chinese Academy of Sciences Institute of Remote Sensing and Digital Earth, aiming to promote cooperation with countries along the Belt and Road to demonstrate and foster the smart uses and applications of “Big Earth Data”, in support of the sustainable development of people and economies at local, national and regional levels. Assessment and monitoring of terrestrial and marine ecosystems require observations that must be precise, accurate, and timely, and measure both objects and processes across a range of spatial and temporal scales. Earth observation technologies have the advantage of macro-level, rapid, accurate monitoring of global and regional environmental changes. They play a significant role in studying resources and the environment and are of great significance for the construction of the Belt and Road.

The DBAR vision is the promotion of international cooperation that integrates Earth observation science, data, technology, and applications to address environmental change and attain SDGs in the Belt and Road region. The uniqueness of DBAR is its goal of building upon the diverse Earth observation capacities in the Belt and Road countries in Asia, Europe, and Africa through comprehensive and well-funded action.

The main topics of the conference are listed at http://www.iseis.cuhk.edu.hk/DBAR2017_RSATSA2017/topics.html 

They include: 

1: Digital Earth and Spatial Data Infrastructure
2: Remote Sensing for Agriculture Monitoring and Food Security
3: Environmental Monitoring and Analysis for Sustainable Development and Management of Coast and Sea
4: Remote Sensing for Global Environment Change
5: Natural and Cultural Heritage Conservation and Sustainable Development
6: Big Earth Data for Disaster Risk Reduction
7: Remote Sensing for Water Resources
8: Urban Environment and Sustainable Urban Development
9: Observations and Adaption to Changes in High Mountain and Arctic Cold Regions

The eminent keynote speakers are listed here: http://www.iseis.cuhk.edu.hk/DBAR2017_RSATSA2017/speakers.html 


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