PRS: Practicing Research Skills

Computational Approaches

in Political and Social

Sciences

Week 1A: Introduction to the course. Mon 3 June

by Diliara Valeeva and Eelke Heemskerk

 

Diliara Valeeva

Eelke Heemskerk

Plan for today

1. What is computational pol & soc science?

2. Structure of the course

3. Group projects

4. Writing a research proposal

1. What is computational political & social science?*

* CPS and CSS

Computational political and social science explores

human behavior and relationships,

using computational approaches

and large datasets

Main question:

What is CPS and CSS?

* In this course, we will answer this question using computational approaches

2. Structure of the course

4 research steps = 4 weeks

Week 1. Exploring the subject

Week 2. Data gathering and preparation

Week 3. Data analysis

Week 4. Reflection and presentation

4 research steps = 4 weeks

Week 1. Exploring the subject => Project proposal (25%)

Week 2. Data gathering and preparation => Data portfolio

Week 3. Data analysis = > Results (25%)

Week 4. Reflection and presentation => Group presentation (25%)                                                                  and Individual reflection (25%)

 

Project Proposal (25%)

  • Review of the relevant literature
  • Stating a research question
  • Formulating hypotheses
  • Describing data sources
  • Describing methods

Data Portfolio

  • Overview of the dataset
  • Basic descriptive information
  • Discussion of the strengths and weaknesses of the dataset

Data Analysis (25%)

  • Description of methods
  • Description of the results
  • Interpretation and meaning of the results

Group presentation (25%)

  • Introduction to the topic
  • Stating the research question
  • Description of the data and methods
  • Main findings

Individual Reflection (25%)

  • The quality of the gathered data and of the analysis
  • The adequateness of chosen methods
  • Options for future improvement
  • The experience of working in groups
  • Learn how to conduct a full research cycle
  • Learn how to analyze the data
  • Learn how to present your results 
  • Practice group work

Main goals

Meeting Formats

  • Very few lectures
  • Skills Tutorials
  • Project Meetups

Plan for Week 1

Mon 3 June: Introduction to the topic

     => Preliminary decision about the group project

 

Wed 5 June: Introduction to data and methods

     => Final decision about the group project

 

Fri 7 June: Skills tutorial

     => Writing a research proposal

3. Group projects

Datasets

1. Presentations at IC2S2 (2015-2018)

Source of the dataset: https://github.com/ibsmirnov/css

Datasets

1. Presentations at IC2S2 (2015-2018)

2. Twitter data

Title Text

Methods

  • Content Analysis
  • Network Analysis

Project 1.

Past & Present

Project 2.

Success

Project 3.

Neighbors

Project 4.

Key players

What is CPS and CSS?

Project 1. Past and Present

Questions:

-- What do CSS scientists study?

-- How does it change over time?

Data: text of presentation titles

Methods:

  • Content analysis of the most often used terms in titles

  • Comparing changes in topics over time

Project 2. Success

Methods:

  • content analysis of word used in the titles

  • comparing the topics presented as talks, posters or keynote talks

Questions:

  • Which topics are popular in CSS?
  • Why are some papers accepted as talks while others as posters?

Data: Text of presentation titles

Project 3. Neighbors

Methods:

  • Content analysis of tweets about CSS and other fields

  • Analyzing the popularity of CSS-related tweets over time

Questions:

  • How is CSS related to other fields?
  • What do people write about CSS and other related fields?

Data: Twitter data

Project 4. Key players

Methods:

-- Content analysis of tweets / presentation titles

-- Analyzing the most popular presenters

Questions:

-- Who are the users writing about CSS online?

-- Who are the most popular authors at IC2S2?

-- What do they write about/work on?

Data: Twitter data / presentation titles

Project 1.

Past & Present

Project 2.

Success

Project 3.

Neighbors

Project 4.

Key players

What is CPS and CSS?

4. Research Proposal

The structure

  • Review of the relevant literature
  • Stating a research question
  • Formulating hypotheses
  • Describing data sources
  • Describing methods

The format

  • Submitted by each group
  • No more than 1500 words
  • Deadline: Tuesday 11 June at 17:00

Plan for Week 1

Mon 3 June: Introduction to the topic

=> Preliminary decision about the group project

 

Wed 5 June: Introduction to data and methods

=> Final decision about the group project

 

Fri 7 June: Skills tutorial

=> Writing a research proposal (deadline Tue 11 June)

PRS / Week 1A: Introduction to the course

By Diliara Valeeva

PRS / Week 1A: Introduction to the course

PRS Practicing Research Skills. Week 1: Introduction to the course. 3 June, Monday.

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