语言: English
专题Special
暑期学校
您当前的位置: 首页 > 专题 > 暑期学校 > 正文
2021年华中农大-帝国理工“计算社会科学方法论”暑期学校课程安排
发布人:MARI发布时间:2021-07-24

2021 Summer School on Methodology of Computational Social Science

Schedule

Date: Tuesday 27th of July - Friday 30th July 2021


Venue: VooV meeting (腾讯会议)

Hosted by Macro Agriculture Research Institute, Huazhong Agricultural University


u  Overall learning outcomes. After this summer school, participants should be able to:

- explain what agent-based modelling (ABM) is and how it can be used in social simulation

- know how to get started with model development using NetLogo

- understand the role of the ODD protocol in documenting and designing agent-based models

- think about own research questions and domain from the perspective of computational social science

- evaluate different ways to use ABM to support research

- know where to go next to learn more about social simulation and find relevant  examples and literature


u In  addition to allocated self-study slots, it is anticipated that evenings during the summer school are for further self-study and reflection on the application of coursework on own research projects


u All times are in China Standard Time (UTC+8)


u Lectures are 2 hour time slots (120 minutes)


u Agenda:


Date


Topics

Lecturer

TAs  


Tuesday

July 27th

Arrival

08:00-

09:00

Participants arrive & connect to online platform

Teaching Assistants

All TAs


Morning


09:00 - 09:30





09:30-

11:30


Opening and welcome (30 minutes)

§ Introduction to lecturers

§ Structure of the week

§ Introduction to collaborative work



Gucheng Li

Hang   Xiong



Lecture 1: Modeling and simulation in social sciences

§ Introduction to systems theory

§ Model types (Markov, System Dynamics, ABM)

§ Matching a modelling approach to the study objective


Georgiy Bobashev

A03

Cong Ju

鞠聪



Afternoon


11:30 - 14:00




14:00-

15:00










15:00-

17:00




Activity: reading selected papers, aiming at showing participants the potential of ABM applications, especially in terms of theoretical modeling


self-study



Getting to know each other & student expectations

Quiz on reading using Mentimeter:

§ Everything you need to know about agent-based modelling and simulation

§ Computational Models that Matter During a Global Pandemic Outbreak: A Call to Action



Koen H. van Dam


A01

Teng Li

李腾


Lecture 2: Introduction to NetLogo and syntax

§ Why NetLogo?

§ Using the command center

§ Understanding the GUI

§ General programming tips/tricks

§ Documenting models

Koen H. van Dam


Wednesday

July 28th

Morning


09:00-

11:00








11:00-

14:00



Lecture 3: ODD protocol

§ The ODD protocol: ABM objectives and components (agents, rules, environments, networks)

§ Model parameterization and calibration

§ Model building process using ODD


Georgiy Bobashev

A03

Cong Ju

鞠聪


Activity: Implementing first NetLogo “hello world” model (individually)

self-study




Afternoon





14:00-

15:00




15:00-

17:00


Continue Netlogo tutorial

Peer-support on tutorial (in groups)


self-study



Q&A on NetLogo implementation (real-time)

Zhanli (Jerry) Sun

Koen H. van Dam

A04

Qi Yang

杨琦



Lecture 4: Decision-making in ABM

§ Advanced topic on decision-making of agents

§ Tips and traps in ABM development


Zhanli (Jerry) Sun




Online
  (1 hour)


Online feedback and Q&A session (not real-time) using email, slido, padlet, voov chat




Georgiy Bobashev

Zhanli (Jerry) Sun

Koen H. van Dam

Hang Xiong




Thursday

July 29th

Morning

09:00-

09:30



09:30-

14:00


Review/recap and introduction to the group activity



Hang Xiong





Activity: Design a model in a domain of the participant’s own interests, write ODD specification for a model, review models in the Model Library to see if any of them could be a useful starting point, and if ready start implementing a prototype model in NetLogo and/or modify one of the examples


self-study

A02

Wanqi Liang

梁皖琪


Afternoon


14:00-

16:00











16:15-

18:00



Lecture 5: Geographical Information Systems (GIS) and journey of a modeller

§ Introduction to GIS

§ GIS in ABM

§ Case studies: i) modelling the impact of planning changes in Beijing and ii) electric vehicle charging infrastructure

§ Experiences of learning to model during student projects


Koen H. van Dam
 
 

A01

Teng Li

李腾



Lecture 6: Model applications and participatory ABM

§ ABM application in land use/cover

§ Understanding the “Tragedy of the Commons” via ABM

§ Participatory ABM


Zhanli (Jerry) Sun

A04

Qi Yang

杨琦



offline

(1 hour)

Offline feedback and Q&A session (not real-time), using email, slido, padlet, wechat, voov chat, etc…

Hang Xiong

Georgiy Bobashev

Zhanli (Jerry) Sun

Koen H. van Dam



Friday

July 30th

Morning

09:00-

11:00







11:00-

14:00


Lecture 7: Applied social science research

§ Dos and Don’ts in Applied Economics Research

§ Methodology of Case Study in Social Sciences




Junfei Bai



Biliang Luo


A05

Xian Li

李贤



Activity: Continue model definition and/or Translating (part of) the model formulation   to syntax and implementing it in NetLogo

Peer-support in model design and development


Self-study



Afternoon


14:00-

15:00






15:00-

17:00






17:30-

18:30

Q&A on using ABM in projects (real-time, in smaller groups)


Hang Xiong,

Georgiy Bobashev,

Zhanli (Jerry) Sun,

Koen H. van Dam

A05

Xian Li

李贤



Lecture 8: Integration of lab and ABM

§ Combining experimental research with computer simulation

§ Agent-behaviour


Flaminio Squazzoni

A02

Wanqi Liang

梁皖琪




Closing ceremony

§ Summary of summer school

§ Recommendations self-study during next week

§ Suggestions on what to do next, how to stay up-to-date and continue development


Hang Xiong

Zhanli (Jerry) Sun

Koen H. van Dam

Flaminio Squazzoni


All TAs