2023 Summer School on Methodology of Computational Social Science

Syllabus and Schedule

Dates: Monday 21 August – Friday 25 August 2023

Venue: M501 (Lecture Hall), Humanities and Social Sciences Building, Huazhong Agricultural University, Wuhan

Overall objective

The objective of five-day course is to help students to understand complex system theories and social simulation methodologies, to acquire ABM methods and NetLogo programming skills, and to apply social simulation in social science studies.

Learning outcomes. After attending the courses, students are expected to be able to 

• understand the complex system theories and methodologies of examining social phenomena using social simulation

• create and run agent-based models to simulate social systems using NetLogo or other programming languages

• conduct simulation experiments with rigorous sensitivity analysis, parameter calibration and model validation

• use the Overview, Design concepts, and Details (ODD) protocol to document and describle agent-based models

• explore and apply agent-based modelling (ABM) techniques to simulate and analyze a variety of social dynamics and phenomena

• formulate research questions using compex system perspectives and use ABM to address research questions

Tasks

• Completing the homework assigned by the lecturers, including literature reading, modeling and presentation, and actively participate in classroom activities.

• Building a simulation model and/or draft a paper either individually or in a team of no more than 6 members.

• Reporting  models and/or papers the last day of the summer school. Outstanding work will be invited to present at the annual conference of Asian Social Simulation Association (ASSA) on 27 August

Teaching assistant: Teng Li, Cong Ju, Xin Yang, Enzhe Wu

Agenda

Morning time 8:00-11:30

Lecture 1 8:00-9:30

Lecture 2 9:50-11:30

Afternoon time 14:30-17:30

Lecture 3 14:30-15:50

Lecture 4 16:10-17:30