Friday, 11 August 2017

Call for Applications for ASEAN-India Research Training Fellowships (AIRTF) for ASEAN Researchers

Call for Applications for ASEAN-India Research Training Fellowships (AIRTF) for ASEAN Researchers


Supported by ASEAN-India Science & Technology Development Fund (AISTDF)


Objectives: The AIRTF scheme is a fellowship scheme with the following objectives:

  • To promote mobility of scientists and researchers from the ASEAN Member States to India and provide them opportunity to work at Indian R&D/ academic institutions to upgrade their research skills and expertise.
  • To facilitate exchange of information and contacts between the scientists and researchers of India and ASEAN Countries and create a network for building research collaborations.

As a spin-off, the Fellowship awardees may also have opportunity to get co-supervisors from India for their research projects for Ph.D. or Master's degree on their return to their home countries.


Number of Fellowships: Initially to start with 100 (One Hundred) Fellowships per year shall be awarded to young scientists and researchers from ASEAN Member States to get affiliated with Indian academic and R&D institutions. These Fellowships shall be equally distributed among ASEAN Member Country. Initially, 10 Fellowship shall be allocated for each ASEAN country. However, this number could be re-adjusted in accordance with the number of applicants from respective each ASEAN Member State.


Duration of Fellowship: The duration of the Fellowship will be for a period of up to six months. A minor variation in the duration would be allowed on recommendations of the Indian host Institute/ University depending upon the actual requirement of the research project as mutually agreed between the Fellowship holder and the Indian host institution.


Areas in Which Fellowships Are Available: The area/ topic of research for availing AIRTF must be ASEAN centric and must be aligned with the ASEAN Plan of Action on Science, Technology and Innovation (APASTI)-2016-2025. A copy of the APASTI is placed at Appendix-I. Fellowship will be offered for working in research topics under any of the following broad disciplines:

  • Science Policy / IPR Management / Technology Transfer & Commercialisation
  • Other multi-disciplinary areas of Science, Technology and Innovation in alignment with APASTI (e.g., Open Access Movement, Scientometrics, Open Science, Open Research Data, Open Innovation, Grassroots Innovation, etc.)

A suggestive list of Indian institutions along with the areas of research offered by them is enclosed as Annexure-I. The Centre for Studies in Science Policy (CSSP) of Jawaharlal Nehru University (JNU) is one of the research centres identified to host AIRTFs. For further information/ scientific collaboration please contact the undersigned.



Further Details | Annexure-I: List of Indian Institutions | Annexure-II - Application Form


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Dr. Anup Kumar Das 
Centre for Studies in Science Policy 
School of Social Sciences
Jawaharlal Nehru University 
New Delhi - 110067, India
Twitter: @AannuuppK | @IndiaSTS
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Wednesday, 9 August 2017

CODATA-RDA School of Research Data Science | Sao Paolo, Brazil | 4-15 December 2017

CODATA-RDA School of Research Data Science
4-15 December 2017
ICTP-SAIFR, Sao Paolo, Brazil


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.

Short Report on the First CODATA-RDA School of Research Data Science, August 2016.

Programme for the First CODATA-RDA School of Research Data Science, ICTP, Trieste, August 2016.

Materials from the First CODATA-RDA School of Research Data Science, ICTP, Trieste, August 2016.

Programme for the Second CODATA-RDA School of Research Data Science, ICTP, Trieste, July 2017.