Monthly Archives: December 2012
ESRC PhD Studentships
The ESRC Scottish Graduate School of Social Science Doctoral Training Centre (SGS-DTC) Competition is now inviting submissions for studentships. Please note that the applications have to be developed by prospective students. Students may only apply through 1 of 10 Scottish universities but can submit through multiple pathways (e.g. Health, Geography, Economics). All applications will have to be made through the university’s ESRC DTC Contact. Details of the application process can be found here http://www.socsciscotland.ac.uk
Please note, acceptance by the ESRC does not guarantee admittance to the university. The SGS-DTC has no role in this.
The first deadline is 22 February 2013 (Registration). The second is 8 March 2013 (Full application submitted).
Moreover, the ESRC SGS-DTC has allocated up to 9 awards for collaborative studentships.
In 2013 there will be an expectation that collaborative studentships will normally include an element of monetary co-funding. The target amount is 10% of the studentship package, which is approximately £1,820 per annum for a standard studentship. A collaborative studentship can be a 1+3 or a +3 award.
SGS-DTC funding is limited to the standard ESRC studentship package: fees, maintenance, RTSG, overseas travel allowance. Additional funding requirements including travel, subsistence, and accommodation in connection with visits to the collaborating partner, will not be funded by the SGS-DTC.
It is not a requirement that applications identify a named student although they can do so. Where applicants do not identify a named student candidate, they should clearly identify when and how they plan to advertise and recruit a student to carry out the studentship.
Applications for collaborative awards can be submitted by prospective supervisors based within recognised SGS-DTC pathways. The SGS-DTC has designed an application form which will be available on the SGS-DTC website for download and completion.
There are two deadlines:
• 11 February 2013 – Completed applications to be submitted to the SGS-DTC Directorate.
• 11 March 2013 – Decisions to be communicated by the SGS-DTC Directorate.
Webinar “Secondary datasets in disability and health: tools for researchers using United States datasets” now available on line
A recording of the SDHI webinar “Secondary datasets in disability and health: tools for researchers using United States datasets” is now available on line or to download.
Presenters:
Arun Karpur (Research Faculty, School of Industrial & Labor Relations
Employment & Disability Institute, Cornell University, New York
and
William Erickson, Research Specialist Employment & Disability Institute
Cornell University, New York
National survey and administrative datasets continue to be a rich resource for generating national-level statistics for people with disabilities in the United States. Heterogeneous definitions of identifying individuals with disabilities as well as the
varying sampling framework limit the use of secondary datasets. Additionally, there are no good tools for comparing datasets to facilitate making an informed choice to employ the best alternative data set for use in public health research. This presentation introduces a unique web-based resource developed by the Employment and
Disability Institute, Cornell University, providing researchers access to meta-data on publicly available datasets consisting of information on employment, compensation, and health outcomes for people with disabilities. In addition, to the metadata, the presentation also provides an introduction to online data directories built for providing a deeper
exploration of key data elements of the secondary data sets focusing on variable related to disability characteristics, employment, compensation, and health outcomes.
This work has been funded by a sub-contract to and in partnership with the Cornell University ILR School Employment and Disability Institute through funding from
the The National Institutes of Health – National Center for Medical Rehabilitation Research (No. R24 HD065702) a grant funded to the University of Texas Medical Branch’s Center for Rehabilitation Research using Large Datasets
(CRRLD)