Skip to content

socialcomquant/css_methods_python_workshop

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

47 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Introduction to Computational Social Science methods with Python

Materials for the Social ComQuant 2023 Workshop Series

Launch online Binder

Workshop Date

11-12 April 2023

Location

Venue: Koç University, Rumelifeneri Campus

Target group

Undergraduate, master students, doctoral candidates, and experienced researchers who want to get introduced to the practice of Computational Social Science.

Requirement

Participants are expected to know the basics of Python and have at least some experience using it. For the workshops, participants should bring a running system on which they can execute Jupyter Notebooks. We will be using Python 3.9 and several standard libraries that are part of the Anaconda 2022.10 distribution or can be installed on top of that. A list of libraries and versions of these libraries that participants should import will be circulated before the workshops. We recommend that participants install Anaconda 2022.10. Feel free to also work in a cloud like Google Colab. Consult this link for more detailed instructions on how to set up your computing environment.

Lecturers

Dr. N. Gizem Bacaksizlar Turbic is a postdoctoral researcher in the Computational Social Science departments at RWTH Aachen University and GESIS - Leibniz Institute for the Social Sciences. Her research areas include complex adaptive systems and social and political networks.

Dr. Arnim Bleier is a senior researcher in the Computational Social Science department at GESIS - Leibniz Institute for the Social Sciences. His research interests are in the field of Natural Language Processing and reproducibility. In collaboration with social scientists, he develops Bayesian models for the content, structure and dynamics of social phenomena.

Dr. Nicolò Gozzi is a research scientist at ISI Foundation. His research areas include computational/digital epidemiology and network science.

Dr. Haiko Lietz is a postdoctoral researcher in the Computational Social Science department at GESIS - Leibniz Institute for the Social Sciences. His research interests are in computational sociology, network science, and complexity science.

Workshop schedule structure

11 April 2023, Tuesday

09:30 – 12:30 | Workshop 1: Introduction to Open Science tools and online self-training materials (Dr. Arnim Bleier, Dr. Haiko Lietz, & Dr. N. Gizem Bacaksizlar Turbic)

12:30 – 14:00 | Lunch break

14:00 – 17:00 | Workshop 2: Introduction to network analysis with Python (Dr. Haiko Lietz & Dr. N. Gizem Bacaksizlar Turbic)

12 April 2023, Wednesday

09:30 – 12:30 | Workshop 3: Introduction to machine learning with Python (Dr. Arnim Bleier & Dr. Haiko Lietz)

12:30 – 14:00 | Lunch break

14:00 – 17:00 | Workshop 4: Introduction to natural language processing and topic modeling with Python (Dr. Nicolò Gozzi & Dr. N. Gizem Bacaksizlar Turbic)


Please link to the workshop series GitHub repository