18-19 January, Lisbon, Portugal






2024 LESE
LISBON ECONOMICS AND
STATISTICS OF EDUCATION

LESE: Lisbon Economics and Statistics of Education

LESE, Lisbon Economics and Statistics of Education, will take place at Lisbon School of Economics and Management (ISEG), in Lisbon, on the 18th and 19th of January 2024.
This 7th edition of LESE will continue our very successful tradition of getting together researchers, students and education analysts, providing a forum to present methodological and applied research and to discuss quantitative results on education analysis.
The conference will include lectures by invited speakers, organised thematic debates, contributed parallel sessions, two round-tables and a one-day course on the application of Machine Learning to educational problems.

Important Dates

18 - 19 January 2024
Conference

17 January 2024
Short-course: Machine Learning for educational problems

11 January 2024
Deadline for the late registration and payment by participants (that are not presenters)

30 November 2023
Deadline for the registration and payment by presenters

15 November 2023
Review results announced

15 October 2023
Deadline for submissions of extended abstracts or full papers

Past editions

2022 LESE Conference

2019 LESE Conference

Fourth Lisbon Research Workshop on Economics and Econometrics of Education (2017)

Third Lisbon Research Workshop on Economics and Econometrics of Education (2015)

Second Lisbon Research Workshop on Economics and Econometrics of Education (2013)

First Lisbon Research Workshop on Economics and Econometrics of Education (2011)

Speakers

KEYNOTE SPEAKERS

Speaker 1




Susan Dynarski

Harvard University

Speaker 2




Simon Burgess

University of Bristol

ROUND TABLES

What PIRLS 2021 and PISA 2022 Tell Us About Pandemic Learning Losses
 

Harry Anthony Patrinos (moderator)

World Bank

Kristof De Witte

KU Leuven

Maciej Jakubowski

Faculty of Economic Sciences, University of Warsaw, and Evidence Institute, Poland
 

João Marôco

ISPA-Instituto Universitário Lisbon
 





After the Pandemic: What It Will Take to Improve National Education Systems
 

Nuno Crato (moderator)

ISEG - Lisbon School of Economics and Management & CEMAPRE

Tommaso Agasisti

Polytechnic University of Milan, School of Management

Noam Angrist

University of Oxford, Blavatnink School of Government

Carla Haelermans

Maastricht University, School of Business and Economics

                                    



                                    

Short Course

17 January 2024
NOT INCLUDED IN THE CONFERENCE'S REGISTRATION FEE
(minimum number of participants required and limited number of places)

Machine Learning for the Analysis of Educational Problems
 

This one-day course is designed to provide participants with a general understanding of Machine Learning methods and their applications in the field of education. Participants will learn how to apply Machine Learning models to educational problems, compare different methods to traditional linear models, and understand the advantages and limitations of each approach.

Tommaso Agasisti

Polytechnic University of Milan, School of Management

Committees

Ana Balcão Reis

Nova School of Business and Economics

Luis Catela Nunes

Nova School of Business and Economics

Adriana Cornea-Madeira

ISEG - Lisbon School of Economics and Management & CEMAPRE

Patrícia Costa

ISCTE Sintra & CEMAPRE

Nuno Crato

ISEG - Lisbon School of Economics and Management & CEMAPRE

Pedro Freitas

Nova School of Business and Economics

Marta Morgado Rosa

ISEG - Lisbon School of Economics and Management

Matthijs Oosterveen

ISEG - Lisbon School of Economics and Management

Joana Pais

ISEG - Lisbon School of Economics and Management & UECE

President:

Luís Catela Nunes

Nova School of Business and Economics

Members:

Tommaso Agasisti

Polytechnic University of Milan

Pedro Carneiro

University College of London

Adriana Cornea-Madeira

ISEG - Lisbon School of Economics and Management & CEMAPRE

Patrícia Costa

ISCTE Sintra & CEMAPRE

Maria Eugénia Ferrão

University of Beira Interior & CEMAPRE

Rita Ginja

University of Bergen

Pedro Martins

Nova School of Business and Economics

Matthijs Oosterveen

ISEG - Lisbon School of Economics and Management

Artur Pokropek

Institute of Philosophy and Sociology of the Polish Academy of Sciences

Program

Submissions

Please submit a full paper or extended abstract (2-3 pages) in English.

The deadline for submissions is the 15th of October 2023. At least one co-author per submission must be registered and have paid for their registration by the 30th of November in order to have the contribution included in the programme.

We invite authors to send any questions that might arise to the email: submissions@lese-conference.org

Submissions closed

Registration

All tickets include coffee-breaks and lunches on the 18th and 19th of January, as well as dinner on the 18th of January.

REGISTRATION FOR THE CONFERENCE

Regular Participant

Before November 30th

€300

AFTER NOVEMBER 30TH

€375


Master's & PhD Student

Before November 30th

€200

AFTER NOVEMBER 30TH

€275


REGISTRATION FOR THE SHORT COURSE

With a registration for LESE 2024

Before November 30th

€150

AFTER NOVEMBER 30TH

€200


Without a registration for LESE 2024

Before November 30th

€225

AFTER NOVEMBER 30TH

€275


Hotels

The following hotels are close to ISEG, the conference venue:


York House Hotel Lisboa

As Janelas Verdes

Lisbon Sao Bento Hotel

Memmo Príncipe Real

Bairro Alto Hotel

Hotel da Estrela

Casa de São Mamede

Hotel Dom Carlos (Park or Liberty)


The closest areas to the conference site are Santos, Estrela, Lapa, Príncipe Real, Chiado, Bairro Alto, and Cais do Sodré.

Contacts

VENUE

ISEG, Rua do Quelhas n.6,
1200-781 Lisboa, Portugal

CONTACTS

For any questions or additional information, please write us
using the following email:
info@lese-conference.org