Birmingham Statistics for Linguists Summer School 2020

Location
University of Birmingham
Category
Arts and Law, Teaching
Dates
Monday 18th (09:00) - Friday 22nd May 2020 (17:00)
Download the date to your calendar (.ics file)
Contact

For more information and initial enquiries, contact the summer school convenor Dr Bodo Winter.

statistics-summer

The University of Birmingham is organising its third “Statistics for Linguists” Summer School.

Over the course of five days, participants will learn how to process and analyse data using the R programming language. We will provide a comprehensive overview of current statistical methods that are commonly used in linguistics and related fields, with a focus on regression modelling and its extensions (generalized linear models, linear mixed effects models etc.). The ultimate goal is for participants to become competent users of these techniques and gain a better understanding of their own data.

The main sessions will cover topics such as:

  • Introduction to the R programming language
  • Data wrangling
  • Reproducible research practices
  • Data visualisation
  • Linear models
  • Poisson and logistic regression
  • Linear mixed effects models
  • Bayesian modelling
  • Simulating data for power and Type I error simulations 

Additional optional sessions (electives) will cover topics such as:

  • Generalised additive models
  • Resampling techniques (bootstrapping, permutation tests)
  • Classification and regression trees and random forests
  • Confirmatory and exploratory factor analysis
  • Path analysis and structural equation models
  • Multiple correspondence analysis
  • Cluster analysis
  • Corpus statistics

The summer school will be convened by Bodo Winter (University of Birmingham), Timo Roettger (Northwestern University) and Márton Sóskuthy (University of British Columbia).

Additional optional sessions will be offered by local and visisting staff of quantitative linguists. The full list of academics will be communicated in due course. 

The workshop will combine theory sessions with hands-on analysis examples. There will be opportunities for students to present their own work and receive feedback from our expert team. We have planned social activities to also make this an opportunity for networking for all participants.

The summer school is open to undergraduate, postgraduate, and doctoral students, as well as researchers who want to improve their skills in applying statistical methods in their own research. No statistical, mathematical or programming background is required.

For more information and initial enquiries, contact the summer school convenor Dr Bodo Winter at bodo@bodowinter.com

Registration

Registration will open in January 2020. Unfortunately, we have already reached capacity on our 2020 waiting list. If you would like to participate please contatct the summer school coordinator, Elisa Tuijnder. If delegates on the 2020 waiting list are not able to particpate the spot will be offered to the first person on the 2021 waiting list, and so on. 

The registration fee for the 2020 workshop is £360. 

Accommodation

If you would like to book accommodation on campus at our Edgbaston Park Hotel or Lucas House Hotel please visit our conferences and events website. 

The University campus is easily accessible by public transport from Birmingham city centre (approx. 10 - 15 mins); we have put together a list of accomodation in Birmingham for all budgets. Please visit our "Accommodation" page for more information. 

Venue and travel

The venue for summer school sessions will be confirmed closer to the event. We will indicate location once known on the University of Birmingham campus map.

If you have any specific accessibility requirements or any further queries, please contact the Events Coordinator, Elisa Tuijnder on E.Tuijnder.2@bham.ac.uk

Directions to Birmingham and our Edgbaston campus are available on the "Getting here" page.  

Food and drink

The Statistics for Linguists Summer School registration fee includes refreshments and lunch, but does not include breakfast or evening meals. For more information on food and drink options on and off campus visit our "Food and Drink" page.