• FLAMES Events and Courses 2017-2018

    Please find the FLAMES program 2017-2018 in a nutshell below, but keep in mind it is constantly evolving.

    Also don't forget to have a look at the different courses on Statistics and Methodology currently on offer at our Flemish universities. For an overview, visit our 'Training' tab or click here.

    For all FLAMES courses, the FLAMES Cancellation Policy applies. Read more on this policy here.


    In the list below we distinguish between two types of courses and events:

    FLAMES InterUniversity (IU) events and courses: regularly organized with a rotating system over the five universities

    - FLAMES events and courses: locally organized by one of the FLAMES coordinators



    October 2017


    November 2017


    December 2017


    January 2018


    February 2018


    March 2018


    April 2018


    May 2018


    June 2018


    September 2018


    Local workshops

    FLAMES seminars @ UGent:

  • FSS 2018



    will take place at KU Leuven,

     Van den Heuvelinstitute,

    Dekenstraat 2, 3000 Leuven


    September 10th – 21th 2018


    FLAMES (Flanders Training Network for Methodology and Statistics) organizes a two-week Summer School aiming at providing practical methodological and statistical training to young researchers (particularly PhD students) from all disciplines.

    After the success of the FLAMES Summer School in 2013 (at KULeuven), 2014 (at UGent), 2015 (at VUB), 2016 (at UHasselt) and 2017 (at UAntwerp) and with the useful feedback of its participants, we will offer an even better experience, improving on both content and shape.

    Whether you are a complete dummy, a starter with a limited knowledge, or a more experienced researcher with a broad basic knowledge in the world of methodology and statistics, the FLAMES summer school offers courses on your level, which emphasizes everyday research practice.

    The program consists of 16 courses (called modules) from which participants can choose. Each module seamlessly connects theory with hands-on exercises or lab sessions, focusing on various disciplines and software packages whenever possible. The basic courses are combined in 2 recommended tracks, that directly connect to the prior knowledge of the participant.

    This year the FLAMES Summer School will take place at KU Leuven, Van den Heuvelinstitute.


    An overview of the program is given here.

    Course modules offered in week 1:

    • Module 1          Basic Parametric Statistics 
    • Module 2          Multilevel Analysis *** Fully booked***
    • Module 3          Qualitative Data Analysis with NVIVO *** Fully booked***
    • Module 4          Introduction to Practical Statistics
    • Module 5          Research Design
    • Module 6          Generalized Linear Models 
    • Module 7          Writing Packages in R 

    Course modules offered in week 2:

    • Module 8       Basic Non-Parametric Statistics 
    • Module 9       Factor Analysis
    • Module 10     Data Mining
    • Module 11     Basic Regression Analysis
    • Module 12     Time Series Analysis
    • Module 13     Focus Groups
    • Module 14     From Research Theme to Qualitative Research Design
    • Module 15     Narrative Research 
    • Module 16     Bayesian Data Analysis


    Additionaly there will be an ''Essential Tools for R" course in the last week of August, more specifically from 27th to 30th August 2018.


    Registrations are open!

    Before registering, we suggest to check all the relevant information contained in the other sections (Program, Course content, Biographies, Directions).




    Local organizers at KU Leuven: Cristina Cametti and Koen Plevoets (KU Leuven FLAMES coordinators)
    Contact: more

  • FLAMES Cancellation Policy

    As FLAMES, it is our mission to provide training on statistics and methodology issues to as many Phd students and postdocs as possible. Furthermore, to guarantee access to our events for as many Phd students and postdocs as possible, we try to offer most courses free of charge to our public. Very often, the number of interested persons is much higher than the number of spots that we can offer to guarantee a qualitatively good course.
    Nonetheless, for many of our events about 20% of the registered ànd confirmed participants do not show up, without a timely notification. We, as FLAMES coordinators, do not only find this impolite towards us as an organizing team, but we also find this inconsiderate towards all other Phd students and postdocs on the waiting list.
    This is why FLAMES applies a no-show policy for all FLAMES events. If not otherwise mentioned in the announcement of the event, FLAMES wraps up registrations and cancellations two weeks before the start of the event. Cancellations less than two weeks prior to the start of the event will therefore fall under this policy.
    In case of a no-show without a timely notification, we will work in two steps.
    As a first measure, you and your supervisor will receive an email, underlining our policy on no-shows. Of course, if you did have a valid reason for not showing up at the last minute (for example, you turned ill the morning of the course), you can still let us know and we will leave it at that. No harm done. However, if we do not receive a good argumentation for your absence at the event without prior and timely notification, your name will be put on a separate list.
    After two no-shows without prior and timely notification for not showing up, you will not be admitted to any other future FLAMES events.
    We see this as a necessary measure to guarantee our mission, that is to make training on statistics and methodology issues accessible to as many Phd students and postdocs as possible.
    The FLAMES coordinators
     Read more

Past FLAMES events