Minds, Mechanisms and Interaction in the Evolution of Language -

Schedule

Day 1- September 20th, 2017

On day one, we will cover everything from the initial conception of an experiment to getting it up and running on Mechanical Turk. To follow along with all of the exercises for Day 1, you will require the following software: Python, jsPsych.

 

Start
Time:

End
Time:

Topic Led By Details
9:00 9:30 Introduction All Get to know your organisers. Get to know each other.
9:30 9:45 Iconicity in the World and in the Lab Alan Nielsen A brief talk about iconicity research. Theoretical grounding for the Summer School project.
9:45 10:30 How to: Science Hannah Little How to move from ideas to experiments. Open science, collaboration, the tidyverse, and beyond.
10:30 11:00 COFFEE COFFEE Take a break. Prepare for code and more fun.
11:00 11:30 Setup and Experimental Basics Alan Nielsen Cover the basics of the stimuli for our experiment, how they were created, and how we plan to answer questions about iconicity and crossmodal associations.
11:30 13:00 Setting up trial structures in Python Yasamin Motamedi Building a well designed and balanced experiment
13:00 14:00 LUNCH LUNCH Complementary lunch provided by the MPI and IMPRS
14:00 14:30 Simulating Data in Python

Alan Nielsen

Bill Thompson

Learn how to simulate large sets of data based on your predictions.
14:30 15:30 Model Predictions in Python Bill Thompson How to use limited sets of data to make predictions about larger sets of data.
15:30 16:00 COFFEE COFFEE More coffee and refreshments
16:00 17:15 Building Experiments with jsPsych Justin Sulik How to implement our well-designed stimulus lists as graphical experiments online.
17:15 18:00 Deployment of Online Experiments Justin Sulik Host your experiment online. Recruit and pay participants via Mechanical Turk.
18:00 18:30 The Marcus Perlman Hypothesis Challenge Alan Nielsen Use what you have learned today to attempt to predict our experimental results. Prizes for the best predictions
18:30 21:00 Pizza Party All Enjoy some pizza and refreshments with your fellow Summer School students and the Organisers. Get help with anything you found difficult on Day 1.

 

Day 2- September 23th, 2017

On day two, we will deal with sanitizing, analysing, and visualising collected data. In the afternoon we will cover the use of experimental data as input for agent based Bayesian models. To follow along with the exercises for Day 2, you will require the following software: R, Python

 

Start
Time:
End
Time:
Topic Led By Details
9:00 9:30 Data Preparation Hannah Little Turning raw data into tidy data. 
9:30 10:00 Descriptive Statistics Alan Nielsen Basic descriptive statistics and eyeballing the data.
10:00 10:30 COFFEE COFFEE It's Saturday morning and we are about to do stats all day. Fuel up.
10:30 11:30 Basic Statistics and Linear Models

Ashley Micklos

Andrea Ravignani

Yasamin Motamedi

Learn the basics of LMER and similar statistical techniques.
11:30 13:00 Advanced Statistics

Justin Sulik

Kevin Stadler

Factor Analysis and other advanced techniques for exploring data.
13:00 14:00 LUNCH LUNCH Complementary lunch provided by the MPI and IMPRS
14:00 14:30 Visualisation and Reporting Justin Sulik How to communicate your results simply and effectively.
14:30 15:30 Bayesian Basics Bill Thompson A brief primer on Bayes. Bayesian analysis in R.
15:30 17:00 Agent-based Bayesian modelling

Alan Nielsen

Bill Thompson

Using experimental results as input for Bayesian Models. 
17:00 17:30 Coffee, Awards, and Closing Remarks All We thank you for coming, provide you with some fuel to send you out the door, and announce winners of contests.

 

 

Last checked 2017-09-11 by Alan Nielsen

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