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HBO/WO

MBO

December 1, 2020

Agent Based Modeling for Resilience

This resource is intended for the following purposes: To raise awareness among students on why you should analyze your (Agent Based) model, and provides some tools on how to do this To use sensitivity analysis to quantify resilience. This tutorial is intended as part of a larger course on Agent Based Modelling and/or modelling for resilience, but may also be useful as a stand-alone module given a certain background of the participants. It consists of three parts dealing with some basic methodologies for analyzing an Agent Based Model and interpreting the results, with some focus on a resilience context. This tutorial contains 3 parts, including an overview including detailed learning objectives. Part 1: Tutorial R for NetLogo Part 2: Model analysis Part 3: Quantifying resilience

Document

George van Voorn, Guus ten Broeke

February 1, 2021

Course Agent Based Modeling

Understanding Complex Adaptive Systems requires tools that themselves are complex to create and understand. Shalizi defines Agent Based Modelling as “An agent is a persistent thing which has some state we find worth representing, and which interacts with other agents, mutually modifying each other’s states. The components of an agent-based model are a collection of agents and their states, the rules governing the interactions of the agents and the environment within which they live.” This course contains 12 chapters. Firstly, an introduction to Complexity and to Agent based modelling is given (chapter 1 and 2). In the next chapters, complex system properties are explained in more detail (chapter 3-7 :Emergence, Path dependence, Adaptiveness, Chaos and instability, Diversity and Self-similarity). Subsequently, in chapter 8, an introduction is given of Robustness and Resilience. Lastly, in chapter 9-12, four other concepts are explained to understand the agent based modelling of complex adaptive systems: Evolution, Network theory and observer dependence. The course can be found on the following link: https://ocw.tudelft.nl/courses/agent-based-modeling-of-complex-adaptive-systems-basic/ This publication also includes various examples (selected research articles) of the use of ABM when it comes to understanding and analyzing resilience. A course summary is also part of the resources. This course relates to the collection "Measuring and Analyzing Resilience of STE Systems."

Website

Ivo Bouwmans, Igor Nikolic

December 30, 2025

Lessons Learned

Agent-based modelling (ABM) is one of the most widely applied computational modelling research techniques in archaeology, because it is well suited to the questions asked by archaeologists. However, the access to vocational training for ABM is limited. In this paper we present the Open Educational Resources (OER) that we produced in an international cooperation. For this purpose, we created online and open tutorials for ABM for archaeologists. In addition, how-to guides and support material were created, both for teachers and students. The materials adhere to international (European) standards in relation to education and the Digital Skills Passport for archaeology. The teaching materials have been well tested using a diverse group of archaeologists during various international conferences and meetings. It was shown that the knowledge and skills of the participants in relation to ABM improved. In addition, the demand for the teaching materials and the workshops was high, ensuring that the tutorials on ABM will be used in the future.

Document

Ronald Visser, Karsten Lambers, Kenneth Aitchison, Annemarie Jutte, James Douglas Rocks-Macqueen, Laura van der Knaap, Iza Romanowska, Tom Brughmans, Jeroen Linssen, Adam Pažout

March 7, 2021

Tutorial Part 2. Introduction to sensitivity analysis with agent-based modeling

This resources includes: Docx-file for tutorial part 2 Folder with r- and data-files for the tutorial part 2.

Document

George van Voorn, Guus ten Broeke

February 1, 2021

Cyber Attacks on Power Grids and Impact

This resource consist of 3 presentations and focus on the following learning objectives: Part 1 – Describe what is IEC 61850 standard and how it is applied in digital substations for power system automation and protection Part 2: – Explain the architecture of a digital substation for power grids that uses IEC 61850 – Analyse vulnerabilities, threats and cyber attack models targeting IEC 61850 GOOSE and Sampled Value protocols Part 3 – Analyse the impact of cyber attacks on power system operation and explain how they can lead to cascading failures (Part 3) – Recommend appropriate security controls to mitigate cyber attacks on power grids

Presentation

Alex Stefanov​

March 7, 2021

Tutorial Part 3- Resilience through adaptation

This resources includes: PDF-file for tutorial part 3 A link where you can find a model developed as a test-case for application of sensitivity analysis methods to ABMs

Document

George van Voorn, Guus ten Broeke

September 5, 2021

Resilience Thinking

This set contains four learning components that cover urban resilience in Japanese cities. Introduction to Urban Resilience (~ 11-min long video) Exploring Resilience Possibilities (~ 6-min long video) Resilience in Delta Cities (~ 7-min long video) Resilience Ball and Cup Heuristics (~ 2-min long video) Agent-based Modelling for Resilience (4-part tutorial)

Various Experts

September 5, 2021

Sustainability and Resilience in Chinese Cities

This set contains five videos regarding the sustainability and resilience of Chinese cities: i. Introduction to Urban Resilience (~ 11-min long video) ii. Exploring Resilience Possibilities (~ 6-min long video) iii. Resilience in Delta Cities (~ 7-min long video) iv. Co-creation of Sustainable Cities (6 short videos) v. Sustainability Politics in Chinese Cities (~ 6-min long video) vi. Agent-based Modelling for Resilience (4-part tutorial) vii. Deconstructing Urban Resilience (10-slide document)

Dominic Stead et.al

May 14, 2023

ChatGPT-and-Artificial-Intelligence-in-higher-education-Quick-Start-guide

Advies van Unesco over inzet van AI in onderwijs.

University, UASDocument

Unesco

January 2, 2021

Smart Cities

Smart cities can profoundly transform an urban system by using ICT technologies to promote sustainable practices. For example, to become carbon neutral, cities need to reform their energy system; this could be done using smart and decentralized solutions. However, there are many challenges to making this transition successful. This set of videos and materials starts with an introduction to gathering and using spatial data and how it can be used. Then, it will give you an overview of smart grids, energy, and mobility systems, showing how a shift towards smart cities requires infrastructure and technological changes. This inevitably changes the social and political landscape as well. Citizens themselves play a crucial role in helping to co-create a more sustainable, smart urban system. Then, we will look at the implications of smart systems when applied in a societal context. In the first module you will learn about the background and possibilities of agent based modeling applied in an urban context. Then you will learn about the threats that (smart) cities face from cyberattacks and what implications a successful cyberattack could have on the functioning of cities.

Various Experts