Disciplines

A package dedicated to research of academic disciplines.

Version

0.01

Package is dedicated to analysis of academic scientific disciplines. Disciplines in all of its forms and types. All branches, fields, subdisciplines, interdisciplines,

To achieve that we:

1. implement various theories that describe the disciplines.
2. link to data, and get it
3. develop method that connects data to theories.
4. Visualise, draw it - creates different visualization.
5. Describe the findings in natural text.
6. Export it to web.

Theories

Such as Academic tribes and territories by Becher, or number of approaches listed in The sociology of scientific work by Vinck, or stages of emergence by Ziman. In this module we prepare a set of of theories. Calls for implementation are also accepted [link][ff]

Data

Links to dbpedia and other open data. Description of missing information. Monitor appearance of resources. Getting data about disciplines, related conferences, publications, descriptions, syllabuses, pictures, classifications, persons, concepts, collection of urls. Use of graph(networkx), database(sqlite), dataframe(pandas).

Methods

The integration of all defined data and theories. The main idea is to all theories with all available data Applying theories to data. With having formal approach to theories and different data we can do amazing things. Basically this module allows hypothesis testing. Allows such complicated stuff as: history - reconstruction of history. Should be generating text, pictures, people from the data that I have analysed. It should work when asking for "do something based on"

Example:

from disciplines.theory import emergence  # imports emergence theory
print emergence.concepts  # prints concepts used in theory
> citation network 
> hierarchy
> conferences

from disciplines.data import db
from methods import check_fit 
check_fit(emergence.concepts, db)  # checks whether available data is fit for working with theory
> 'citation network' is available 0.3
> 'hierarchies' are available 0.3
> 'conferences' are available 0.1

Development strategy

1. Prototype with theory that describes small phenomenon.
2. Use of examples.
   • In some cases examples are just a mentioning of some discipline or subdiscipline.
   • In other cases we have examples that are described in 5 to 10 sentences.
   • In some unique casese we have long descriptions of each discipline (Small, history of social sciences)
3. Reconstruct, deconstruct and forecast
   1. List all disciplines and to which theories (including methods) are they related.
   2. List all disciplines that have description
   3. Tackle big descriptions by using earlier findings and NLP (NLTK).
   4. Reverse findings on less documented cases.
   5. Estimate or build a strategy for developing rarely mentioned cases.
   6. Based on findings of stages 1 to 5, investigate disciplinary formations not mentioned in theory.

Install

pip install -r requirements.txt

Documentation