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‎.Rproj.user/781306AB/sources/session-174dc1b5/68FEC34E-contents‎

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---
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title: "Demystifying machine learning for population researchers"
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editor:
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markdown:
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wrap: 72
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---
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Advances in computational power and statistical algorithms, in
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conjunction with the increasing availability of large datasets, have led
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to a Cambrian explosion of machine learning (ML) methods. For population
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researchers, these methods are useful not only for predicting population
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dynamics but also as tools to improve causal inference tasks. However,
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the rapid evolution of this literature, coupled with terminological
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disparities from conventional approaches, renders these methods
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enigmatic and arduous for many population researchers to grasp.
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This workshop clarifies the goals, techniques, and applications of
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machine learning methods for population research. The workshop covers
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- an introduction to ML methods for population researchers,
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- showcases of ML applications to answer causal questions,
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- discussions of the current developments of ML for population health,
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fertility and family dynamics, and
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- fosters critical discussions about the shortfalls of these
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techniques.
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The main focus of this workshop is on ML techniques using quantitative
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population data and research questions, not on ML language models. The
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workshop consists of keynotes, contributed sessions, and a tutorial.
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One keynote lecture will be delivered by Prof. Ian Lundberg (Cornell
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University, <https://www.ianlundberg.org/>). Prof. Jennie E. Brand
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(UCLA, <https://www.profjenniebrand.com/>) will deliver an online talk.
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This in-person workshop will take place in November 5-6 at the Max
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Planck Institute for Demographic Research in Rostock. We invite
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population researchers with interest in ML applications. We aim to
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receive contributions from different fields of population sciences, such
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as population health, formal and social demography, public health and
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economics, among others.
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We invite submission of original research abstract with relevance to ML
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and population sciences (max 500 words) and a CV (max. one page) to
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MLworkshop\@demogr.mpg.de.
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Submission Deadline: **30. April 2024**
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Decisions on the selection will be communicated before May 15th. Please
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direct any questions to this email address.
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Organization committee: Angela Carollo, Aapo Hiilamo, Mikko Myrskyla.
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*The workshop has no fees. Participants are expected to cover their
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travel and accommodation but limited financial support, offered on a
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competitive basis, is available for junior scientists or scientists from
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low-middle income countries. Please indicate the request for such
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funding at the time of abstract submission.*
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*The workshop is organized by the Max Planck Institute for Demographic
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Research and The Max Planck -- University of Helsinki Center for Social
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Inequalities in Population Health.*
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![](logos/maxhel.png){width="300"}
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![](logos/MPIDR-EN@4x.png){width="300"}

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title: "Demystifying ML Rostock November 5-6"
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