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== Welcome to the ''Sustainability Methods Wiki!'' ==
 
== Welcome to the ''Sustainability Methods Wiki!'' ==
<br>
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The aim of this Wiki is to present and explain fundamental methods, terms and tools relevant to (Sustainability) Science and discuss underlying questions. The Wiki is composed of several sub-wikis:
The aim of this wiki is to present and explain fundamental methods, terms and tools relevant to (sustainability) science and answer relevant underlying questions. The wiki is composed of several sub-wikis that can be accessed below.
 
  
* [[Classes]] (currently only Statistics)<br>
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* [[Wiki Entries]] (Methods, Skills & Tools)<br>
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* [[Normativity of Methods]]<br>
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This section revolves around '''curated selections of Wiki entries (and more)''' as introductions to specific topics.
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For more information, please refer to the [[Sustainability_Methods:About|About]] page and the [[FAQ]].  
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|heading = [[Methods]] | class = center |
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Methods are at the heart of scientific research. '''Learn about the most important methods in Sustainability Science - and beyond.'''
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If you would like to provide feedback or ask further questions, please contact us via the contact form in the [[FAQ]] section.
 
  
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Following are links to some pages that you might be interested in:
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* [[Bachelor Statistics Lecture]]
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|heading = [[Skills & Tools]] | class = center |
* [[Index : Statistics|Link to Statistics Topics on the Wiki]]
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* [[Former Homepage|Link to the Former Homepage]]
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* [[Table of Contributors]]
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Every type of work can be facilitated through appropriate Skills & Tools. '''Dive in and learn something new!'''
* [[Sustainability_Methods:About|What this wiki is about]]
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|heading = [[Normativity of Methods]] | class = center |
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Learn more about issues on the philosophy of science and the question '''how methods relate to the 'real world''''.
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== First time visitor? ==
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'''Please watch this short introduction to the Wiki.'''
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{{#evu:https://www.youtube.com/watch?v=MjlJTjzLg6M
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* Have a look at the '''[[Sustainability_Methods:About|About]] page.''' Here, you will find more information on what the Wiki is all about. It also contains a FAQ section with answers to some general questions concerning the Wiki, and a contact mail in case you would like to provide feedback or ask further questions.
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* Now you can get started! '''Pick a section above''' and choose one or more entries to learn about. <br/>
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* If you do not know which methods to start with, have a look at the '''[https://sustainabilitymethods.org/method_recommendation_tool Method Recommendation Tool]'''!
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* You can also generate a random entry on top of the page or read one of the 5 newest Wiki entries:
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{{Special:NewestPages/-/5}}
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__NOTOC__

Revision as of 07:08, 16 November 2021

Welcome to the Sustainability Methods Wiki!

The aim of this Wiki is to present and explain fundamental methods, terms and tools relevant to (Sustainability) Science and discuss underlying questions. The Wiki is composed of several sub-wikis:

Courses

This section revolves around curated selections of Wiki entries (and more) as introductions to specific topics.

Methods

Methods are at the heart of scientific research. Learn about the most important methods in Sustainability Science - and beyond.

Skills & Tools

Every type of work can be facilitated through appropriate Skills & Tools. Dive in and learn something new!

Normativity of Methods

Learn more about issues on the philosophy of science and the question how methods relate to the 'real world'.

First time visitor?

Please watch this short introduction to the Wiki.


  • Have a look at the About page. Here, you will find more information on what the Wiki is all about. It also contains a FAQ section with answers to some general questions concerning the Wiki, and a contact mail in case you would like to provide feedback or ask further questions.
  • Now you can get started! Pick a section above and choose one or more entries to learn about.
  • You can also generate a random entry on top of the page or read one of the 5 newest Wiki entries:
  1. Linear Regression in Python
  2. How to write unreadable und unmaintainable code
  3. Handling Categorical Data in Python
  4. Factor Analysis
  5. Decision Trees in Python