PARTFUNDED SCHOLARHPS for the course Individual based models using R (and netlogo) (IBMS01)
https://www.prstatistics.com/course/individual-based-models-using-r-and-netlogo-ibms01/
This course will be delivered by Dr. Aris Moustakas from the 1st - 5th April in Glasgow City Centre.
PR STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME THEY ARE ABLE TO OFFER PART-FUNDED SCHOLARSHIPS FOR OUR UP-COMING COURSE
"Individual based models using R (and netlogo) (IBMS01)"
SCHOLARSHIPS CONTRIBUTE TOWARDS COURSE AND ACCOMMODATION FEES WITH ALL INCLUSIVE PLACES (accommodation and meals included) AVAILABLE AT £400.00 (Fees have been subsidised by almost half from £785.00).
Applications should be sent to [log in to unmask] and contain the following.
1. Full name
2. Institute name
3. PhD subject title or Post doc research questions
4. Do you hold a funded position
5. 150 words why this course would be relevant to your research or how it would help.
Application deadline is Wednesday 20th March and decisions will be made by Thursday 20th March.
We still have ‘normal’ places available for anyone else interested.
Course Overview:
This workshop will provide attendees with the opportunity to learn how (1) to understand; (2) run simulations of readily available Individual Based Models (IBMs); (3) analyze the outputs of IBMs; (4) parameterize IBMs, and (5) code relatively basic IBMs in R and NetLogo.
Examples and applications will include cases from diverse domains and scientific disciplines such as social sciences, biology, and environmental sciences.
Students are highly encouraged to bring their own data to the course.
Course Programme
Monday `1st – Classes from 09:30 to 17:30
Theory
Differences between statistical modelling and process-based predictive models
Introduction to cellular automata
Introduction to Individual & Agent Based Models
Practical
Running simulations with readily coded IBMs in Netlogo
Application of cellular automata: coding the game of life in R
Tuesday 2nd – Classes from 09:30 to 17:30
Theory
Introduction to scientific programming
Introduction to Netlogo
Practical
Go through a coded IBM in NetLogo and understand the code
Code IBMs in R (full code provided and explained)
Run simulations of the IBM
Wednesday 3rd – Classes from 09:30 to 17:30
Theory
Complex vs. simple models
How many processes & details to include
Combining IBMs with statistical analysis
Practical
Running simple vs more complex coded IBMs
Exporting outputs from IBMs
Statistical analysis of IBM outputs
Thursday 4th – Classes from 09:00 to 17:00
Theory
Calibrating IBMs
Validating IBMs
Sensitivity of input parameters
Practical
Coding IBMs in R
Analyzing IBM outputs of varying parameter inputs
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