NPIF Event

The National Productivity Investment Fund (NPIF) are holding an event to bring together fellow and students. This event is for those in receipt of an Innovation Fellowship or a studentship that is thematically aligned to the  Industrial Strategy (i.e. awarded as part of the first tranche of funding in 2017). This event will be an opportunity for the students to learn more about long-term trends in the funding environment, to explore real world examples of social science collaboration with industry and to network with other NPIF award recipients.

Date:           Monday 4 March 2019

Location:   Jury’s Inn, 245 Broad Street, Birmingham, B1 2HQ

This invitation is also extended to Postdoctoral Fellows in receipt of a steered award.

Students and industrial strategy-aligned Postdoctoral Fellows can register for the event using the following link:

Please register by 14 February 2019. 

Please note, thematically aligned to the Industrial Strategy does not include awards allocated in advanced quantitative methods or data skills.

AQMEN: Data Science Training

AQMEN are running the following training courses free of charge, on a first-come basis. Catering is provided and they are able to offer modest travel and/or accommodation bursaries to attend these events.

Data Wrangling – Organising and Enabling Data: 12th – 14th March 2019 London

This three-day workshop will provide a fast-track introduction for individuals wishing to learn how to work with data suitable for statistical analysis of business problems. Preparing and enabling data (data wrangling) is an essential aspect of undertaking data intensive statistical research. Data wrangling is highly time consuming and can be complex especially when dealing with messy data, which is often encountered in the business world.

Full details of the workshop and a link to register are available at

Predictive Data Analytics: 19th – 21st March 2019 Edinburgh

This three-day workshop will provide a fast-track introduction for researchers wishing to learn how to undertake statistical modelling using data from non-academic research domains. The workshop will introduce participants to fundamental concepts and approaches in statistical modelling and multivariate data analysis. There will be an emphasis on understanding outputs and interpreting results. These skills are critical for the successful analysis of complex data.

Full details of the workshop and a link to register are available at

Data Visualisation: 26th – 28th March 2019 London

Visualising data is emerging as a key component in effectively communicating research results and evidence. This three-day workshop will provide a comprehensive introduction for individuals wishing to learn how to design, produce and interpret data visualisations.

Full details of the workshop and a link to register are available at

CLOSER Workshop

CLOSER is running a workshop ‘Using multiple longitudinal studies for age-period-cohort investigation’ as follows:

Date & Time: Thursday 21 February 2019 09:30-16:00

Venue: Friends House, Euston Road, London NW1 2BJ

Longitudinal studies provide rich data for life course epidemiology (e.g. understanding some age-related process or its causes and consequences), but this power is magnified by working across multiple studies. In particular, with multiple cohorts (representative of the same population) born at different points in time, researchers can investigate how some age-related process or association has changed over time in response to shifts in the behavioural, nutritional, and political etc. environments.

This workshop will focus on the use of multiple longitudinal studies for age-period-cohort investigation.

This event is aimed at PhD students and early-career researchers, however everyone is welcome to attend.

Speakers include: Dr Will Johnson, Dr Silvia Costa, Dr Tom Norris and Liina Mansukoski (Loughborough University), Dr Andrew Bell (University of Sheffield), Dr Alice Goisis (LSE), and Dr Anamaria Braelian (King’s College London)

Click here to view the programme

Click here to book your place on this free workshop

Is it just me? Discussing mental health and the PhD experience

Date: 30 January 2019

Time: 16:00 – 18:00

Location: Mason Lecture Theatre in Bancroft Building (no. 31 on the map), Queen Mary University of London, Mile End.

This event aims to raise awareness of mental health issues among PhD students and will consist of talks by invited academics who have worked on the topic, a panel discussion and questions from audience members. A reception will follow at the Bancroft building foyer from 18:00.

For more information, including abstracts and bios, and to register, please visit:

Registration is free and open to everyone.

NCRM Courses for 2019

The National Centre for Research Methods are offering new training courses for 2019. We will be announcing more courses as they are finalised, but here are the confirmed courses for 2019 so far:

Quant for qual researchers | 8-10 January | Cardiff

Longitudinal structural equation modelling with R | 31 January – 1 February | Southampton

Understanding small areas: spatial analysis of population & neighbourhood data | 7-8 February | Manchester

Accessing data quality and disclosure risk in numeric data | 20 February | London

How to write your methodology chapter | 26 February | Southampton

Introduction to GIS | 4-7 March | Southampton

Introduction to latent class analysis | 14-15 March | Manchester

Introduction to spatial data and using R as a GIS | 27 March | Southampton

Spatial interaction modelling | 28-29 March | London

Introduction to data linkage and analysing linked data | 1-2 April | London

Using creative research methods | 3 April | Cardiff

Interpretive political science | 20-22 May | Southampton

Introduction to spatial data and using R as a GIS | 23 May | London

Drawing, multimodality & interaction analytics | 28 November | London

As a rule, our courses cost £30 a day for UK/EU students and £60 a day for UK/EU academics, researchers or public service staff. More details on specific course costs are available by clicking the above links.

For more information about our training courses, please visit: