25-29 January 2021
ONLINE Winter school ‘Recent advances in poverty and inequality research’
The call is now closed.
The ONLINE Winter School on ‘Recent advances in poverty and inequality research’, organised by LISER, aims at advancing knowledge and expertise of early career researchers and PhD students in some of the most recent developments in the field of poverty and inequality research. In particular, it will provide lectures making use of state-of-the-art methodologies such as machine learning, distributional national accounts or survey experiments.
Instructors will present their research in a public seminar format and will then thoroughly discuss details of implementation (concept/data/methods) in a masterclass open only to Winter School participants. Confirmed lectures include:
- Distributional National Accounts: An assessment of methods and estimates from WID.world –Instructor: Facundo Alvaredo (Paris School of Economics, INET and IIEP-UBA-CONICET);
- Machine learning and inequality research – Instructor: Paolo Brunori (University of Firenze and University of Bari);
- Understanding preferences for redistribution – experimental designs - Instructor: Johanna Möllerström (George Mason University).
The Winter School will start on Monday 25 January 2021 afternoon and end on Friday 29 January 2021 lunch time (approximately).
Successful applicants will take part in the Winter School through an online teaching platform. A few days before the planned workshop you will receive detailed login information and a link to the online meeting.
Please register by clicking here
Information for potential applicants
Candidates to this event are expected to fill in the application form, including a short motivation note describing to what extent they would benefit from the Winter School and another one describing their research background and interest before 16 December 2020.
Participation is free of charge. See terms and conditions.
The InGRID-2 event is suitable for early-stage researchers and PhD students.
The official Winter School language is English. No simultaneous translation provided.
Requirements for attending the Winter School are:
- Research interest in the topics of poverty and inequality (or related areas);
- Knowledge of and interest in quantitative analysis;
- Familiarity with statistical software such as R or Stata is desirable but not essential.
The Winter School will include short presentations by participants.
Only a limited number of participants will be admitted to the masterclasses in order to stimulate online interactions.
Applications will be reviewed by LISER and selected based on their motivation for attending the full course. All candidates will be informed of the outcome as soon as possible and no later than 5 January 2021.
Non-discrimination policy statement
InGRID-2 does not and shall not discriminate on the basis of race, colour, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in the selection of participants for the event.
Monday, 25 January 2021
|16.30-18.00: Seminar 1||Machine learning and inequality |
Tuesday, 26 January 2021
|09.30-11.00: Masterclass 1 – Part A||Machine learning and inequality |
|11.30-13.00: Masterclass 1 – Part B||Machine learning and inequality |
|14.00-16.00: Interactive session 1||Machine learning and inequality |
|16.30-18.00: Serminar 2||Distributional national accounts |
Wednesday, 27 January 2021
|09.30-11.00: Masterclass 2 – Part A||Distributional national accounts |
|11.30-13.00: Masterclass 2 – Part B||Distributional national accounts |
|14.00-16.00: Interactive session 2|| |
Distributional national accounts
|16.30-18.00: Seminar 3||Understanding preferences for redistribution |
Thursday, 28 January 2021
|13.00-14.30: Masterclass 3 – Part A||Understanding preferences for redistribution |
|15.00-16.30: Masterclass 3 – Part B||Understanding preferences for redistribution |
|17.00-19.00: Interactive session 3|| |
Understanding preferences for redistribution
Friday, 29 January 2021
|10.00-12.00:||Presentations by participants|