ABM Study Group
2024 Balance

Daniel Vartanian

University of São Paulo

2025-02-19

Hi there! 👋

In this presentation, I’ll review our progress to date and propose new objectives for the future.

We’ll explore the following topics:

  1. Our Progress
  2. Group Stats
  3. Our Methods
  4. Our Objectives
  5. Our Schedule

Our Progress

Group Stats

Total members: 25 (as of 2025-02-19)

Presentations: 7 (as of 2025-02-19)

Attendance

1st Meeting (2024-10-09): 13/24 (~54.17%)

2nd Meeting (2024-11-13): 11/25 (44.00%)

3rd Meeting (2024-12-11): 9/25 (36.00%)

Our Methods

Low Threshold, No Ceiling
(Tisue & Wilensky, 2004)

Contributor Covenant Code of Conduct

2-hour Monthly Meetings

~30-minute for group organization

~30-minute theoretical presentation

~30-minute practical presentation

~30-minute discussion

Our Methods

Is the way we are conducting activities working?


What can we do to improve it?

Our Objectives (Proposed)

2nd Semester 2024

Establish and manage the group; Introduce modeling concepts, ABMs, NetLogo, and the ODD Protocol (Part I)

1st Semester 2025

Explore the entire ODD Protocol, enabling participants to create and structure their own ABMs (Part II)

2nd semester 2025

Learn how to parameterize, calibrate, and analyze ABMs effectively
(Parts III & IV)

Our Objectives (Proposed)

Overview

  1. Purpose and Patterns
  2. Entities, State Variables, and Scales
  3. Process Overview and Scheduling

Design Concepts

  1. Basic Principles
  2. Emergence
  3. Adaptation
  4. Objectives
  5. Learning
  6. Prediction
  7. Sensing
  8. Interaction
  9. Stochasticity
  10. Collectives
  11. Observation

Details

  1. Initialization
  2. Input Data
  3. Submodels

Our Schedule (Proposed)

February 19
9 & 10 – Observation & Sensing

March 12
11 – Adaptive Behavior and Objectives

April 16
12 & 13 – Prediction & Interaction

May 21
14 & 15 – Scheduling & Stochasticity

June 18
16 – Collectives

August 13
18 – Patterns for Model Structure

September 10
19 – Theory Development

October 8
20 – Parameterization and Calibration

November 19
22 – Analyzing and Understanding ABMs

December 10
23 – Sensitivity, Uncertainty, and Robustness Analysis

Closing Remarks

License: MIT License: CC BY 4.0

This presentation was created with the Quarto Publishing System. The code and materials are available on GitHub.

References

In accordance with the American Psychological Association (APA) Style, 7th edition.

Railsback, S. F., & Grimm, V. (2019). Agent-based and individual-based modeling: A practical introduction (2nd ed.). Princeton University Press.
Tisue, S., & Wilensky, U. (2004). NetLogo: A simple environment for modeling complexity. Center for Connected Learning and Computer-Based Modeling. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=a65e2af0f4a1b03db4b05357c4cb3b8a6a4d7894

Thank you!