3 May
2024
3 May
'24
3 p.m.
EXTENDED DEADLINE: May 15, 2024
Advances in computational power and statistical algorithms, in conjunction with the
increasing availability of large datasets, have led to a Cambrian explosion of machine
learning (ML) methods. For population researchers, these methods are useful not only for
predicting population dynamics but also as tools to improve causal inference tasks.
However, the rapid evolution of this literature, coupled with terminological disparities
from conventional approaches, renders these methods enigmatic and arduous for many
population researchers to grasp.
This workshop on November 5 to 6, 2024 at the Max Planck Intsitute for Demographic
Research (MPIDR) in Rostock, Germany, clarifies the goals, techniques, and applications of
machine learning methods for population research. The workshop covers
* an introduction to ML methods for population researchers,
* showcases of ML applications to answer causal questions,
* discussions of the current developments of ML for population health, fertility and
family dynamics, and
* fosters critical discussions about the shortfalls of these techniques.
The main focus of this workshop is on ML techniques using quantitative population data and
research questions, not on ML language models. The workshop consists of keynotes,
contributed sessions, and a tutorial.
One keynote lecture will be delivered by Prof. Ian Lundberg (Cornell University,
https://www.ianlundberg.org/).
Prof. Jennie E. Brand (UCLA, https://www.profjenniebrand.com/) will deliver an online
talk.
This in-person workshop will take place in November 5-6 at the Max Planck Institute for
Demographic Research in Rostock. We invite population researchers with interest in ML
applications. We aim to receive contributions from different fields of population
sciences, such as population health, formal and social demography, public health and
economics, among others.
We invite submission of original research abstract with relevance to ML and population
sciences (max 500 words) and a CV (max. one page) to
MLworkshop@demogr.mpg.de<mailto:MLworkshop@demogr.mpg.de>.
Submission Deadline: May 15, 2024
Decisions on the selection will be communicated before May 31.
Please direct any questions to
MLworkshop@demogr.mpg.de<mailto:MLworkshop@demogr.mpg.de>.
Organization committee: Angela Carollo, Aapo Hiilamo, Mikko Myrskyla.
The workshop has no fees. Participants are expected to cover their travel and
accommodation but limited financial support, offered on a competitive basis, is available
for junior scientists or scientists from low-middle income countries. Please indicate the
request for such funding at the time of abstract submission.
The workshop is organized by the Max Planck Institute for Demographic Research and The Max
Planck - University of Helsinki Center for Social Inequalities in Population Health.
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