Welcome to the website for Evidence-based decision making FS24 (11230-01)

Instructors: Loreen Tisdall and Rui Mata, University of Basel

WEBSITE UNDER CONSTRUCTION: Last updated Mon Feb 26 15:58:39 2024

Very much like a spread of tools, science offers a plethora of strategies…   photo by Cesar Carlevarino Aragon on Unsplash

🚏 Session information

Sessions take place Mondays, 14.15-15.45, Biozentrum, Maurice E. Müller Saal U1.111.

# Date Topic
1 26.02.2024 The scientific method(s) pdf
2 04.03.2024 Algorithms: The power of algorithms pdf
3 11.03.2024 Algorithms: The problems of algorithms pdf
4 18.03.2024 Consensus: The wisdom of the crowd pdf
5 25.03.2024 Consensus: The wisdom of experts pdf
6 08.04.2024 Counterfactuals: Experiments pdf
7 15.04.2024 Counterfactuals: Alternatives to experiments pdf
8 22.04.2024 Synthesis: Overview pdf
9 29.04.2024 Synthesis: Limitations pdf
10 06.05.2024 Interventions: A taxonomy pdf
11 13.05.2024 Interventions: Implementation pdf
12 27.05.2024 Exam

📚 What is this course about?

As the name implies, this course is about evidence-based decision making. The main premise of the course is that informed decisions require the use of evidence (i.e., data that has been processed in some way to generate knowledge or insight).

The behavioral sciences, such as psychology and economics, have developed a number of concepts and techniques - a methodological toolbox - designed to transform data into evidence. This course aims to unpack some of these tools and showcase how they can be used in practice.

The overarching theme of the course is that evidence-based decision making uses the tools of SCIENCE to help us make better, informed decisions. This theme is reflected in the structure of the course: After the first introductory session, the course is divided into modules covering 5 different scientific “methods”, specifically, the benefits and limits of formalization (Algorithms), the discussion and amalgamation of diverse opinions (Consensus), the use of experiments and other methods to infer causality (Counterfactuals), the comprehensive and unbiased summary of multiple studies (Synthesis), and the implementation of interventions based on the best possible evidence (Interventions).

🎒 What can you expect to learn?

The course will cover broad theoretical principles of evidence-based decision making. The principles will be illustrated with examples, inclduing at least one simple tutorial with example code in R, and other recommended exercises designed to facilitate understanding of the underlying concepts.

By completing the course you can expect to LEARN…

you will NOT, however, receive training in…

🔰 How should you use this website?

This website is designed to help course participants get an overview of the course and access the course materials. Each session typically includes a background video, some required reading (typically 1 academic paper), and the course slides. Note that course slides may be updated after each session.

No video recordings of the in-person sessions will be made available.

Information about the exam is available on the Exam tab on this webpage.