EADM Summer school on Learning and Decision Making
8-15 July 2020, Barcelona
Tell me more!

5th EADM Summer School on Learning and Decision Making

We all make numerous decisions in our everyday lives, from small decisions such as choosing a restaurant for dinner to impactful decisions such as choosing a career. In many cases, we have to learn through experience which restaurants we like or which professional activities we enjoy most. In the 5th EADM Summer School on Learning and Decision Making we will investigate a wide range of decisions and look at the learning mechanisms that support them.

The summer school will be a one-week long event comprised of lectures, tutorials, work on projects, panel discussions and poster sessions. The participants will learn about the theoretical and practical foundations of how people (and machines) represent and update belief about choice alternatives, how these beliefs relate to choices, and how to obtain a process-level understanding of individual choices. The focus will be on the framework of reinforcement learning, a framework that has been particularly successful in modeling human behavior, as well as in machine learning. Substantial amount of time will be spent on other formal approaches to learning or decision making.

The summer school is mainly aimed at early-career researchers (PhD students, post-doctoral researchers), but is also open to advanced master students and researchers at other stages of their career. Participants should have some background in computational/quantitative analysis. The organizing team will select academically outstanding participants who stand to benefit the most from the summer school, aiming at a diverse group of different knowledge or research backgrounds.

After completing the summer school, participants will possess the necessary skills to understand, critically evaluate, and implement various standard models of learning and decision making. Participants should be familiar with a data-analysis language of their choice (e.g., R, Python, Matlab or Julia) in order to practically apply their newly acquired knowledge and benefit maximally from the summer school.

The organization team (Pantelis Analytis, Manos Konstantinidis, Gaël Le Mens, Mikhail Spektor and Hrvoje Stojic) looks forward to welcoming you in Barcelona!

Confirmed Faculty

People that will do their best to share with you some of their knowledge.

Jörg Rieskamp

University of Basel

Gael Le Mens

Universitat Pompeu Fabra

Mirta Galesic

Santa Fe Institute

Maarten Speekenbrink

University College London

Johannes Müller-Trede

IESE Business School

Henrik Olsson

Santa Fe Institute

Emmanouil Konstantinidis

University of Warwick

G. Elliot Wimmer

University College London

Mehdi Keramati

City University

Elizaveta Konovalova

Max Planck Institute for Human Development

Hrvoje Stojic

University College London

Pantelis P. Analytis

University of Southern Denmark

Mikhail Spektor

Universitat Pompeu Fabra

Cecilia Nunes

Universitat Pompeu Fabra

Program

Overview of the academic program.

Lectures

The faculty in the summer school will cover a wide range of core topics related to learning and decision making in humans (and machines). The focus will be on quantitative approaches that involve computational modeling of cognitive processes. Topics will revolve around reinforcement learning, from frontiers in decisions from experience, sampling explanations of biases, integration with sequential sampling, to neural processing underlying reinforcement learning. Several other learning topics related to decision making will be covered as well. These include topics such as function learning, category learning, and social learning in the domains of truth and taste.

Tutorials

In addition to the main lectures there will be extensive hands-on tutorials that will focus on methods and implementing computational models on behavioral data. These will cover a similar range of topics.

Projects

What's more, there will be some additional time where the faculty will help participants with their current projects. Every participant will be assigned to two different faculty members who will give them advice on their current research. Moreover, after tutorials there will be free time where participants can get practical help with implementing newly learned methods in their own projects.

Panel discussions

During the summer school we will host panels with leading figures in Judgment and Decision Making research focused on topics such as career development, academic publishing and open science. We will leverage Barcelona's bustling JDM community spanning four different academic institutions to connect students to other researchers in the city.

Poster session

The summer school will also host a poster session where participants will present their research. This will be an opportunity to get feedback on your current research from a broader audience and to communicate your most recent results or exciting results.

Social activities

Last but not least, the summer school will be an opportunity to get together with other early career researchers in learning and decision making field from around the world. On Saturday there will be beach outing with volleyball and other activities in store, and on Sunday you can join a hike on the nearby Catalan mountains

Important dates

  • 15 February, 2020

    Applications open

    Submit your application package: CV, motivation letter and a poster abstract. You will also need to arrange for a reference letter to be sent on your behalf.

  • 15 March, 2020

    Applications close

    The summer school organization team starts evaluating applicants. Up to the 30 doctoral candidates and postdoctoral researchers will be selected

  • 15 April, 2020

    Application evaluation ends

    The organization team settles on the group of selected applicants and sends out acceptance letters. Candidates have two weeks to confirm attending the event.

  • 8-15 July, 2020

    Summer school!

    An exciting academic program awaits you! You will get up to speed on frontiers of learning and decision making research in humans. There will also be plenty of opportunities for getting to know better the faculty and other summer school participants.

Venue

Location and other practical information.

Universitat Pompeu Fabra: Ciutadella Campus

Carrer de Ramon Trias Fargas, 25-27
08005 Barcelona, Spain

Accomodation and travel arrangements

Unfortunately we cannot cover accomodation and travel costs for the summer school. In case you will need any support documents to apply for scholarships to cover these costs please get in touch with us and we will do our best to help you out.

To help with accomodation costs we managed to secure a 20% discount in selected student dormitories in Barcelona: RESA residency, "Campus Ciutadella" and "Campus Mar" locations that are nearby the venue.

Invitation letters for visas

We will provide you with an invitation letter for a visa application upon request. We will be able to this after selecting the participants. Please get in touch with us if you need more information or your country has particular deadlines to apply for visas.

How to apply?

Details about the application process.

The summer school is mainly aimed at early-career researchers (PhD students, post-doctoral researchers), but is also open to advanced master students and researchers at other stages of their career. Participants should have some background in computational/quantitative analysis. The organizing team will select academically outstanding participants who stand to benefit the most from the summer school, aiming at a diverse group of different knowledge or research backgrounds.

Unfortunately we cannot finance travel and accommodation costs and participants will have to find funding to cover these costs. In terms of tuition costs, there will only be a small 50 EUR participation fee that will have to be paid on accepting an offer.

To apply for the summer school you should submit the following materials:

  • CV: An up-to-date CV focusing on your academic work, at most three pages long.
  • Motivation letter: A one-page letter detailing your motivation to participate in the summer school.
  • Poster abstract: As a part of our program every participant will be required to present their work in a poster session. In the poster you can report on unpublished analysis of simulated or experimental data, elaborate on an idea that you would like to receive feedback on, or you can present the results from a paper that you recently published. It should be related to learning and decision making, broadly conceived.
  • One reference letter: A reference letter sent to us on your behalf, detailing why you are a good candidate for the summer school. Ideally this letter should be written by a person that is familiar with your academic achievements. This is required for master students and PhD candidates. Please arrange this letter to be sent to ldmss@protonmail.com, mentioninng clearly your name and surname in the email.

Applications are now open and you can submit the application materials using this form. We recommend submitting the materials this way.

Alternatively, in case you do not have a Google account necessary to submit the form (based on Universitat Pompeu Fabra Google-based services) or you are not comfortable with sending the information through Google, you can send the materials to our email instead: ldmss@protonmail.com. In this case please submit all materials as a single PDF document.

Organization team

People to blame for everything that goes wrong.

Pantelis P. Analytis

University of Southern Denmark

Emmanouil Konstantinidis

University of Warwick

Hrvoje Stojic

University College London

Mikhail Spektor

Universitat Pompeu Fabra

Gael Le Mens

Universitat Pompeu Fabra

For enquiries regarding the summer school, please contact: ldmss@protonmail.com