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docs/source/getting_started/research_tools.rst

@@ -0,0 +1,72 @@
+
+==============
+Research Tools
+==============
+
+As researchers, we often neglect finding the right tools to streamline
+the progress. Financial Machine Learning is no different in that a lot of the papers are scattered
+across different journals and different fields. Ranging from journals on econometrics to machine
+learning, researchers often struggle to find the best academic papers to begin their studies.
+
+At Hudson & Thames, we primarily use two resources: `Connected Paper`_ and `EThOS`_. These two
+free sites have been invaluable and offer an advantage to search through the most cutting edge
+resources available for our MlFinLab library.
+
+.. _Connected Paper: https://www.connectedpapers.com/
+.. _EThOS: https://ethos.bl.uk/Home.do
+
+
+Connected Paper
+###############
+
+Connected paper is unique in that it is not a citation tree. A citation from a paper does not
+necessarily lead the reader to another paper. The two topics might be completely different and
+an unimportant topic for the researcher.
+
+It uniquely identifies the related papers by looking at the cocitation and bibliographic coupling.
+More about the website is available at the connected paper founder’s `medium`_ post.
+
+To give a brief demonstration, we will examine a `paper`_ by Li and Hoi that started our Online Portfolio Selection module.
+
+If you type in the name of the paper, you will see a graph like the one below.
+
+.. image:: getting_started_images/graph.png
+   :width: 50%
+   :align: center
+
+It immediately shows which are the most associated papers. The darker circles indicate that they are
+more recent, so we can easily follow from the older papers to the newer ones. Connected paper also
+has an amazing feature for prior works and derivative works.
+
+Prior works is available for researchers to see what are the most famous and cited papers in this field
+to recognize the importance and start with the baseline material. If we click the button for prior works,
+for our current search, we see an image like this:
+
+.. image:: getting_started_images/prior.png
+   :width: 50%
+   :align: center
+
+We can easily see which were the most cited papers. It is not surprising that the number one paper
+associated with Online Portfolio Selection is Thomas Cover's Universal Portfolio, the original paper
+that began the studies in Portfolio Selection based on information theory.
+
+Once the researcher gets more familiar with the topic by going through literature review with prior
+works, they can move on to the derivative works, which cover the most recent papers associated with
+the paper of interest.
+
+.. image:: getting_started_images/derivative.png
+   :width: 50%
+   :align: center
+
+.. _medium: https://medium.com/connectedpapers/announcing-connected-papers-a-visual-tool-for-researchers-to-find-and-explore-academic-papers-89146a54c7d4
+.. _paper: https://arxiv.org/abs/1212.2129
+
+EThOS
+#####
+
+EThOS is a online library sponsored by the United Kingdom to make publicly-funded research available
+to all researchers.
+
+The best feature for EThOS is the availability of all doctoral theses in the UK. If your topic of
+interest does not have too many sources from journals, there is a high chance that you can find
+good works in EThOS as it is not limited to published journals but rather all doctoral theses as well.

docs/source/index.rst

@@ -263,6 +263,7 @@ This project is licensed under an all rights reserved licence.
     getting_started/barriers_to_entry
     getting_started/researcher
     getting_started/datasets
+    getting_started/research_tools
 
 .. toctree::
     :maxdepth: 2