thu_overview.Rmd

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title: "Day 4 - Overview"
output: html_document
---

# Learning objectives
After this day you will be able to:

1. Batch generate preliminary conservation assessments for many species following IUCN Criterion B using automated software tools

2. Understand how classification through neural networks works and how it can help predicting conservation status 

3. Estimate species IUCN conservation status for a group of not-evaluated species using neural networks and geo-referenced species occurrences in R

# Detailed schedule

### Lectures (live)
13:15 - 14:00
- Lecture "IUCN conservation assessments/automated assessments"

14:00 - 15:00
- Lecture "Classification using neural networks"

15:00-17:00
- Demonstration "Automated assessments following IUCN Criterion B"
- Demonstration "Automated assessments using neural networks


### Exercises (asynchronous)
1. Automated conservation assessments following Criterion B (rCat/ConR)

2. Automated conservation assessments using neural networks (IUC-NN)


# Exercise outcome
A the end of this day, you will have produced the following files for your group of interest:

1. A .txt file with species conservation assessments following Criterion B for your group of interest

2. .pdf files with maps and preliminary conservation status following Criterion B for the species in your group of interest

3. A .txt file with predicted IUCN status for Not evaluated species from your group of interest