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Zoekresultaten (36)

HBO/WO

MBO

23 augustus 2023

Interactive session: Human Intervention on inconsistent and/or good AI decisions

Evaluating criteria for determining the optimality of AI decisions. Analyzing ethics of human interventions in inappropriate AI-based decisions.

Website

HCAIM Consortium

9 november 2020

Decisions for seasons

“Decisions for the Seasons” is an intensely interactive game designed to support learning and dialogue about key aspects of long-term investments under uncertainty, with a special focus on financial preparedness needs Learning objectives Planning for extremes, Experiencing climate change impacts, Cooperation to better manage risk. Dealing with uncertainty (investments) The play is for 6-100 people and takes 30-60 minutes.

Document

Red Cross Red Crescent Climate Centre

25 september 2021

Decisions of the decade

Decisions of the Decade is an interactive game which helps people recognize that there are many uncertain aspects to the future of the climate, and therefore, risk management may require being prepared for surprises such as natural disasters. It is designed to support conventional ways of understanding key aspects of long-term investments under incertitude.

Document

Janot Mendler de Suarez, Pablo Suarez, Red Cross Red Crescent Climate Centre

19 oktober 2021

Land02x - Sources Of Finance And How They Assess Invesments

Public and private sources of finance and some key criteria they use to make their investment decisions

Video

edumedia@wur.nl

3 februari 2022

Byzantium & Friends | 64. How did emperors make decisions?, with Michael Grünbart Thursday Feb 03, 2022

A conversation with Michael Grünbart (University of Münster) about the problem of imperial decision-making. Byzantine emperors are often presented to us as perfectly virtuous monarchs favored by God, but can we pull the veil away from this image and understand the difficult conditions under which they had to make decisions that could potentially cost them their throne? Whom did they consult? How and why did they delegate? Did they have experts? Data? When could they avoid making decisions? As someone in academic middle-management, these questions cut close to home!

Audio

Anthony Kaldellis, Michael Grünbart

19 mei 2022

Architecture Decision Records (ADR) - The Basics

This video describes the basic idea and implementation or Architecture Decision Records, or "ADRs". It describes the idea behind them to document design decisions with their context and alternatives considered. Interested in what you might encounter when using ADRs in your organization? Check our next video: https://video.saxion.nl/media/1_k2u6kljl Some additional resources: The hydrocoptic marzelvane, turboencabulator, sidefumbling and waneshaft are all inspired from The Turbo Encabulator (Youtube) The original article by Michael Nygard (which itself is an ADR!) can be found here: https://cognitect.com/blog/2011/11/15/documenting-architecture-decisions. Although documenting decision is not a new practice, the template of Mr. Nygard has been very succesful in making this practice widespread. Some parts of the introduction (among which the pixelating image) were inspired by Michael Keelings talk at Saturn '17. If you found this video informative, youi'll also like (at least) the first 10 minutes of his talk (YouTube). For ADR templates and tooling, take a look at http://adr.github.io/ More info on passive / active voice can be found in the Technical Writing course from Google.

Video

Hogeschool Saxion

2 november 2020

Course on Robust Policies for Operations Management Problems

This publication concerns the overview and lecture notes for the course Robust policies for operations management problems. For all other materials, please check the resources (part 1-5) and the links to the web lectures. Societal and industrial parties are facing uncertainties in demands, costs, and many more parameters on which their revenues based. So, the important question is: how companies are making decisions while many of the decision parameters are uncertain? In this resources related to this course we will learn how to answer this question from the perspective of “robustness". This is concept that helps us to make decisions that are not vulnerable to the changes in the uncertain parameters. So, most important concept that will be discussed is: Robustness in Optimization problems. Robustness is critical, especially in making strategic and tactical decisions, which are the decisions that are optimal for a long time. Furthermore, it is important to know how the companies should react to the realization of an uncertain parameter. For instance, what companies should do when the demand is known, the prices are set, the weather condition is known, and etcetera. Learning objectives: Different ways of formulating optimization problems Robust decisions methods to solve or approximate the formulated optimization problems Apply these methods to Operation Management problems and real-life cases. This course consists of 5 modules: -Module 1: Introduction and motivation 1.A: Lecture: Introduction 1.B: Lecture Motivation -Module 2: Static robust optimization 2.A: Robust Conterpart 2.B: Vertex enumeration 2.C: Robust Facility Location 2.D: Uncertainty set Selection -Module 3: Adaptive robust optimizationo What the idea behind Finite Adaptibility is and how to formulate it mathematically. 3.A: Adaptivity in optimization - Adaptive robust optimization - •Difference with (static) RO 3.B: Finitely adaptability 3.C: Affine decision rules 3.D: Finite scenario approach -Module 4: Robust optimization with integer variable 4.A: Lecture 4.B: Excercise and solutions -Module 5: Art of modeling

Document

Ahmadreza Marandi

17 juni 2026

AgriLemma 2.0: A serious game for exploring dilemmas in agriculture

In AgriLemma, you are a farmer in Europe managing your own farm across 8 seasons. You grow six types of crops — potatoes, sugar beets, rapeseed, corn, wheat, and chickpeas — each requiring resources such as seeds, water, nutrients, and workers. Players must run, invest in, and improve their farm with sustainable technologies while balancing competing priorities and navigating uncertainties like weather events and pest attacks. The objective is to maximize overall farm health, which is determined by three dimensions: environmental health (positive ecological impact), social health (worker satisfaction), and financial health (farm profitability). Players must strategize across all three dimensions simultaneously — decisions that boost profit may come at an environmental cost, and vice versa. The game makes these trade-offs tangible, encouraging reflection on what sustainable farming really requires. ------------------------------ Learning objectives: · Experiment with different strategies — to operationalize and adapt an approach under pressure, and to reflect on how well it held up. · Expose students to issues of risk management — to plan, control, and explain the reasoning behind in-game choices relating to sustainability, soil conservation practices, integrated crop management, weeding, and pest management, and to learn how to respond when conditions change. · Experience the complexity of decision-making — to take into account weather and policy uncertainties, sustainability pressures, economic realities, and the broader context in which farm decisions are made. --------------------------------Practical information: · Format: Board game (physical/ print-and-play) · Players: 2-4 players (extendable to 8 by playing in teams of 2) · Duration: 3 hours, including onboarding and debrief · Level: Higher education / Stakeholder engagement · Language: English --------------------------------Credits: AgriLemma was originally designed as part of the WATERAGRI project. The second version, including a full redesign of the graphics, was developed with funding support from the TU Delft Open Science Programme course "Civic Engagement in Action: Empowering Researchers and Educators to Make an Impact". Game design: Dr. ir. Aashna Mittal - TU Delft, Faculty of Technology, Policy and Management Graphic design and illustration: Gracia Bovenberg-Murris and Michelle de Smit – TU Delft GameLab Note on image generation: The images in the tech cards and the border of the main game board were created using AI-generated imagery. The constructed wetlands card image is also AI-generated. All other cards and box art are hand-drawn or created in Adobe Illustrator. Note on usability: The print-and-play version of the game has been optimized for office printing.

Document

Aashna Mittal, Gracia Bovenberg-Murris, Michelle de Smit

23 augustus 2023

Tutorial: Decision Theory

The learner gets acquainted with non-quantitative and quantitative approaches to ethics students can define and calculate optimal decisions using univariate distributions and utility/loss functions students can know the elements of decision networks: stochastic/action/utility nodes students can know and apply Bayes' rule (multivariate) students can construct a Naive Bayesian Network (NBN) model students can expand NBN to an NBN-based decision network students can calculate the value of perfect information

Website

HCAIM Consortium

23 augustus 2023

Lecture: Decision Theory

The learner gets acquainted with non-quantitative and quantitative approaches to ethics students can define and calculate optimal decisions using univariate distributions and utility/loss functions students can know the elements of decision networks: stochastic/action/utility nodes students can know and apply Bayes' rule (multivariate) students can construct a Naive Bayesian Network (NBN) model students can expand NBN to an NBN-based decision network students can calculate the value of perfect information

Website

HCAIM Consortium