NCRM Autumn School 2017 - New Data Horizons (bookings closed)

Description:

APPLICATIONS ARE NOW CLOSED

New Data Horizons - NCRM Autumn School 2017

22-24 November 2017

Highfield House Hotel, Southampton

Fully-funded places for researchers. Applications from PhD students and early career researchers welcome.

In recent years the data landscape has seen significant changes and new developments, featuring innovations in data collection and usage of surveys, the rise of linked data sources, such as the linkage of biosocial data to surveys, and new forms of data such as big data and social media data. Knowledge from social scientists about how to properly use new forms of data to answer social science research questions and statistical tools to accommodate social science problems remains underdeveloped. Such data innovations raise questions on data quality and measurement errors. Yet new data will allow social scientists to examine fundamentally new research questions and creates the potential for substantial breakthroughs.

The ESRC National Centre for Research Methods (NCRM) will be holding its 12th residential autumn school in Southampton in November 2017. The topic of this year’s autumn school is New Data Horizons and will explore innovations and changes in the data landscape. The autumn school will feature sessions on innovations in surveys, including online survey data collection, data linkage and use of (linked) administrative and census data, social media data and big data, and biosocial data. It will address the potential for answering substantive questions in social science research as well as methodological aspects such as data linkage, modelling of complex data and issues concerning data quality.

Sessions will be presented by experts from academia, government and market research organisations including:

• Patrick Sturgis (University of Southampton)
• Joel Williams (Kantar Public)
• Curtis Jessop (NatCen)
• Jack Britton (Institute for Fiscal Studies)
• James Doidge (University College London)
• Dave Martin (University of Southampton)
• Matthew Williams (Cardiff University)
• Susan Banducci (University of Exeter)
• Iulia Cioroianu (University of Exeter)
• Michaela Benzeval (University of Essex)
• Melinda Mills (University of Oxford)
• Mike Daly (DWP)

Sessions will see a mixture of presentations from experts as well as interactive and discussion sessions.

The aim of the autumn school is to enable social scientists to learn about new, cutting-edge developments in both survey research as well as new forms of (linked) data. Key data sources will be discussed and examples from survey and data practice with applications to key social science questions will be given.

Who is it for?

Sessions will not assume expert knowledge, but some familiarity with the topic will be an advantage. Priority will be given to early career researchers from across the UK social science community who are employed on research-led contracts. But other researchers, including PhD students, are very welcome.

NCRM autumn schools are fully funded (travel, accommodation) so all reasonable costs of attendance for the successful applicants will be covered.

Provisional programme

The autumn school will start on day 1 (Wednesday 22 November) with registration from 11:30 followed by lunch at 12:00. Presentations will start at 13.00. The autumn school will finish on day 3 (Friday 24 November) at ca. 13.00.

Please note that presentation details and session timings may still change.

Day 1 – Wednesday 22 November 2017

Registration and lunch 11:30

13.00               Introduction to the autumn school

Patrick Sturgis and Gabriele Durrant (NCRM, University of Southampton)

Session 1: Changing nature of and innovations in surveys

• Patrick Sturgis (University of Southampton) Changing patterns of Social Science data usage
• Joel Williams (Kantar Public) Innovations in survey research

Break

• Curtis Jessop (NatCen) Linking survey and social media data
• Interactive/discussion session

Evening Dinner (18.30)

Day 2 – Thursday 23 November 2017

Session 2: Data linkage, administrative and census data

• James Doidge (University College London) Practical aspects and methodological challenges in research using linked data
• Jack Britton (Institute for Fiscal Studies) Using administrative data to investigate graduate earnings and beyond

Break

• Dave Martin (University of Southampton) Transforming the Census 
• Interactive/Discussion session

Lunch

Session 3: Social media and big data

• Matthew Williams (Cardiff University) Towards an Ethical Framework for using Social Media Data in Social Research

Break

• Susan Banducci and Iulia Cioroianu (EXPONet, University of Exeter) Online Data Sources: Linking Old and New, Big and Small

• Interactive/Discussion session

Evening Dinner (18.30)

Day 3 – Friday 24th November 2017

Session 4: Biosocial data

• Michaela Benzeval (University of Essex) Integrating biosocial data (title tbc)

Break

• Melinda Mills (University of Oxford) Combining Social Science and Molecular Genetic Research
• Concluding discussion session

Finish: ca 13.00

For more information on the abstracts please visit the main Autumn School page: https://www.ncrm.ac.uk/TandE/autumn.php

Venue

The NCRM autumn school will take place at the Highfield House Hotel, 119 Highfield Lane, Highfield, Southampton, S017 1AQ.

Applying for a place

Applications should be made by email to Jacqui Thorp (jmh6@soton.ac.uk) by 12:00 on Friday 6th October.

Please use the following headings in your application:

• Full name
• Email address
• Current Job Title/Role, Department/School/Faculty/Institution
• Discipline
• Year your PhD was awarded or PhD year (if currently doing a PhD)
• Title of your PhD
• Department/School/Faculty/Institution your PhD was based in
• Was your PhD ESRC funded?
• Please provide details of your research history, including current position and research (200 word limit)
• Please explain how the Autumn School will be of value in your research in the Social Sciences (200 word limit)
• Publications

Once you have sent your application to Jacqui Thorp, the NCRM team will consider the applications and inform applicants of the outcome by 13th October. Any questions about the autumn school (including the application process) should be sent to Jacqui Thorp.

Cost:

This is free to attend but please email your application to Jacqui Thorp on jmh6@soton.ac.uk

Region:

South West

Keywords:

Data Quality and Data Management (other), Quantitative Approaches (other), Data collection , Linked data sources , Biosocial data , Big data , Social media data

Related publications and presentations:

Data Quality and Data Management (other)
Quantitative Approaches (other)

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