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BIG-DATA  March 2019

BIG-DATA March 2019

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Subject:

PART-FUNDED SCHOLARSHIPS for the course Individual based models using R (and netlogo) (IBMS01)

From:

Oliver Hooker <[log in to unmask]>

Reply-To:

List for big data community <[log in to unmask]>

Date:

Wed, 20 Mar 2019 01:57:45 +0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (236 lines)

PART-FUNDED SCHOLARSHIPS 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 Monday 25th March and decisions will be made by Tuesday 26th 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

Friday 5th – Classes from 09:30 to 16:00
Theory
Special topics:
Examples of IBMs across disciplines
IBMs providing new insights & groundbreaking results

Practical
Understanding the description, replicating and coding a journal-published IBM
Discussions with the tutor and the group of own IBMs and coding
Email [log in to unmask]

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 


1.	March 25th – 29th 2019
LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg03/

2.	April 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy02/

3.	April 1st – 5th 2019
INDIVIDUAL BASED MODELS FOR ECOLOGSITS (IBME01)
Glasgow, Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/individual-based-models-using-r-and-netlogo-ibms01/

4.	April 8th – 12th 2019
MACHINE LEARNING (MLUR01)
Glasgow, Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/machine-learning-using-r-mlur01/

5.	April 15th – 19th 2019
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06)
Athens, GREECE,, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb07/

6.	April 22nd – 26th 2019
GIS USING R (GISR)
Glasgow, Scotland, Dr Luca Nelli
https://www.prstatistics.com/course/gis-using-r-gisr01/

7.	April 29th – May 3rd 2019
Multivariate analysis of ecological communities in R with the VEGAN package (VGNR02)
Orford Musique, Quebec, Canada, Dr. Guillaume Blanchet
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr02/

8.	May 6th – 10th 2019 
AN EXPLORATION OF R FOR PSYCHOLOGISTS: FROM DATA HANDLING TO MULTILEVEL MODELLING (XPLR01)
Myuna Bay, AUSTRALIA, Dr. Sean Murphy
https://www.psstatistics.com/course/an-exploration-of-r-for-psychologists-from-data-handling-to-multilevel-modelling-xplr01/

9.	May 16th – 19th 2019 (please note this a 4-day course from Thursday to Monday)
INTRODUCTION TO R FOR EVERYONE (IRFE02)
Myuna Bay, AUSTRALIA, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-anyone-irfe02/

10.	May 20th – 24th 2019
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV03)
Myuna Bay, AUSTRALIA, Prof. David Warton
https://www.prstatistics.com/course/model-based-multivariate-analysis-of-abundance-data-using-r-mbmv03/

11.	May 21st – 24th 2019
STATISTICAL TOOLKIT FOR ECOLOGISTS (STKE01)
Myuna Bay, AUSTRALIA, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/statistical-toolkit-for-ecologists-stke01/

12.	June 10th – 14th 2019
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson 
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

13.	June 17th – 21st 2019
SPATIAL MODELLING AND ANALYSIS OF ADAPTIVE GENOMIC VARIATION (SPGN01)
Glasgow, Dr. Matt Fitzpatrick
https://www.prstatistics.com/course/spatial-modelling-and-analysis-of-adaptive-genomic-variation-spgn01/

14.	June 17th – 21st 2019
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06)
Glasgow, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb06/

15.	June 24th – 28th 2019
ADVANCED PYTHON FOR BIOLOGISTS (APYB03)
Glasgow, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb03/

16.	July 1st – 5th 2019
BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01)
Glasgow, Scotland, Dr. Paul Howden-Leach 
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/

17.	July 1st – 5th 2019
DATA VISUALISATION AND MANIPULATION USING PYTHON (DVMP01)
Glasgow, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/

18.	July 8th – 12th 2019
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING USING R (IBHM03)
Glasgow, Scotland, Dr. Andrew Parnell
https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm03/

19.	July 29th – August 2nd 2019
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE01)
Glasgow, Scotland, Dr. Jakub Nowosad
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe01/

20.	September 2nd – 6th 2019
APPLIED METHODS FOR ANALYSING CAPTURE-RECAPTURE (MARK-RECAPTURE) DATA USING SPATIALLY EXPLICIT AND NON-SPATIAL TECHNIQUES (MARK01)
Glasgow, Scotland, Dr. Joanne Potts, Dr. David Borchers
https://www.prstatistics.com/course/applied-methods-for-analysing-capture-recapture-mark-recapture-data-using-spatially-explicit-and-non-spatial-techniques-mark01/

21.	September 9th – 13th
MICROBIOME DATA ANALYSIS USING QIIME2 (MBQM01)
Glasgow, Scotland, Dr. Yoshiki Vazquez Baeza, Dr. Antonio Gonzalez Pena
https://www.prinformatics.com/course/microbiome-data-analysis-using-qiime2-mbqm01/

22.	September 16th – 20th 2019
R PACKAGE DESIGN AND DEVELOPMENT AND REPRODUCIBLE DATA SCIENCE FOR BIOLOGISTS (RPKG01)
Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger
https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/

23.	September 30th – October 4th 2019
GEOMETRIC MORPHOMETRICS USING R (GMMR02)
Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/

24.	October 7th – 11th 2019
GENERAL ADDITIVE MODELS (GAM) AND MIXED MODELS (GAMM) (GAMM01)
Glasgow, Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/general-additive-models-gam-and-mixed-models-gamm-gamm01/

25.	October 7th – 11th 2019
CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01)
Athens, GREECE, Dr Richard Schuster and Nina Morell
https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/

26.	October 21st – 25th 2019
A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01) 
Athens, GREECE, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/

27.	November 18th – 22nd 2019
INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01)
Athens, GREECE, Dr Cory Merow
https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/

28.	November 25th – 29th 2019
ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01) 
Athens, GREECE, Dr Cory Merow
https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/

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