QFRG and DSLab open seminar

10 January 2021

We invite you to the seventh seminar of the monthly series of meetings conducted jointly by QFRG (Quantitative Finance Research Group) and DSLab (Data Science Lab). The meeting will be devoted to the topic: What factors determine uneven suburbanization? Explaining urban sprawl with machine learning, in which Honorata Bogusz (DSLab and LABFAM) will present the results of an innovative approach to modeling the factors of spatially uneven migration from Warsaw to its suburban municipalities (joint study with Szymon Winnicki and dr hab. Piotr Wójcik).

QFRG http://qfrg.wne.uw.edu.pl/ is a place where research is conducted and experiences are exchanged between people engaged in examining occurrences in the world of investment from the perspective of both theory and practice, on the verge of science and business.

The activity of DSLab http://dslab.wne.uw.edu.pl/ is focused mainly on academic projects devoted to deepening of the knowledge of DSLab team, sharing it with other people interested in Data Science issues and preparing scientific and didactic publications.

The seventh meeting will take place on January 18th, 2021 (Monday) at 17:00 online on Google Meet platform.

Link to the meeting: meet.google.com/epb-uamf-rfs

The meeting will be conducted in English. I would be grateful if you would confirm your participation by January 15th via email: wED/Lu*Yv|?'opkhzQA02]#[h90t+_ppnk{1ehtN_GJ{y

The presentation is scheduled for about 45 minutes, and after that we invite you to a discussion. 

Please log in the latest at 4:50 PM. The presentation will start at 5:00 PM.

Joining a meeting implies consent to recording. Please turn off cameras and microphones during the presentation and send the questions to the speaker in the chat.

Presentation abstract:

The authors investigate the causes of spatially uneven migration from Warsaw to its suburban boroughs. The method is based on the gravity model of migration extended by additional measures of possible pulling factors. They report a novel approach to modelling suburbanisation: several linear and non-linear predictive models are built and eXplainable AI methods are used to interpret the shape of relationships between the dependent variable and the most important regressors. It is confirmed that migrants choose boroughs of better amenities and of smaller distance to Warsaw city center.

The next meeting is planned on February 22nd 2021.

Services * .wne.uw.edu.pl use cookies stored on users' computers. They are necessary for the proper operation of mechanisms websites Faculty of Economic Sciences.

Detailed information on cookies Operating Policy, University of Warsaw in services are available on http://en.uw.edu.pl/cookie-statement