Training bursaries – 13th -17th November - Open for all methods research courses!
The ESRC wishes to improve the standards of research methods and to stimulate the uptake of high quality training courses in research methods across the UK social science community. The bursaries, for up to £500 each, enable staff in the UK social science community engaged in research, teaching research methods or supervising research to update their research skills. Contract researchers working in HEIs are also eligible for the bursaries.
For more information
http://www.ncrm.ac.uk/TandE/bursary/
NCRM MANCHESTER COURSES
Introduction to Programming for Social Scientists
22nd November 2017
The University of Manchester, Oxford Rd Campus
Provide an understanding of what a computer program is and how it must be precisely defined before a computer can understand it.
Appreciate that there are several ‘programming’ tasks which can and should be done before coding begins.
Understand some of the basic programming constructs that can be used to describe programs in words and pictures as well as being used to write actual programming code.
Appreciate the need to test and debug programs and provide an understanding of the processes involved.
Introduce the Python programming language as a means to practice the concepts above and produce a simple working program
For more information and to book:
https://www.ncrm.ac.uk/training/show.php?article=7632
The Visual Field – Applications close on 15th November
22nd-23rd January 2018
The University of Manchester
Visualisation is increasingly important within the social sciences and beyond. Disciplines across the board are becoming more visual in their methodology and more concerned with the visual as a topic and a medium. This event will involve a mix of presenters from the sciences, the social sciences and the arts and humanities. We will think about ‘the visual’ as a common language linking work in the natural, life and social sciences as well as the arts and humanities. Reflecting the status of the visual field as a focus of study, as a tool and as a focus for experimentation with publics as well as data.
All workshop attendees will be invited to co-author/produce of outputs, which is why we are inviting applications to attend this event.
For more information and to apply:
https://www.ncrm.ac.uk/training/show.php?article=7704
Applied GIS and network analysis for social science applications
1-2 March 2018
The University of Manchester, Oxford Rd Campus
This two-day course uses a series of accessible hands-on practical activities and short lectures to introduce participants to sophisticated spatial data analysis tools within a GIS. On day 1 we work with vector data (points, lines, polygons) to apply a range of spatial analytic and visualisation techniques used for applied research within the social sciences. On day 2 we also introduce network analysis and focus on measures of proximity and access, construction of service areas and the evaluation of facility or service locations. All activities are structured around a series of research questions which could be applied in many research contexts.
We use ESRIs ArcGIS industry standard proprietary GIS software, widely used by the research community and commercial sector. The data used relate to individuals, households and neighbourhoods (small areas) and a drawn from sources typically used within the social sciences (including census, survey and commercial data). We emphasise that the approaches, questions, challenges and operational decisions are generic to these kinds of geographic analyses.
For more information and to book:
https://www.ncrm.ac.uk/training/show.php?article=7769
Understanding small areas: spatial analysis of population and neighbourhood data
31 May0 1 June 2018
The University of Manchester, Oxford Rd Campus
Do you need to:
• obtain census, survey and social media data about populations and small areas? Or;
• geolocate individual-level survey or transactional data containing postcodes, linking them to area-based indicators? Or;
• visualise and map population data to understand patterns and relationships at a small area level? Or;
• understand the characteristics of neighbourhoods? Or;
• Derive insight from user generated social media data?
This two day hands on workshop provides you with skills to confidently address these themes using freely available individual and neighbourhood data.
For more information and to book:
https://www.ncrm.ac.uk/training/show.php?article=7807
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