From 5daa95bcf304d754918d3bd379b43bdec0aa03db Mon Sep 17 00:00:00 2001
From: aapohiilamo <121608445+aapohiilamo@users.noreply.github.com>
Date: Tue, 2 Apr 2024 11:54:07 +0200
Subject: [PATCH] Update
---
.../781306AB/jobs/31BE52BA-output.json | 15 +++++++++++++++
.../781306AB/pcs/windowlayoutstate.pper | 12 ++++++------
.../{per/t => session-c9b11be1}/A7C6A902 | 0
.../t => session-c9b11be1}/A7C6A902-contents | 0
.../sources/session-c9b11be1/lock_file | 0
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.quarto/idx/rostock.qmd.json | 2 +-
.quarto/idx/schedule.qmd.json | 2 +-
.quarto/preview/lock | 1 +
.quarto/xref/33a06ec0 | 2 +-
.quarto/xref/b5d2501f | 2 +-
.quarto/xref/ef41f884 | 2 +-
docs/contact.html | 11 ++++++-----
docs/index.html | 6 +++---
docs/rostock.html | 19 +++++++++++++++----
docs/schedule.html | 4 ++--
docs/search.json | 18 +++++++++---------
18 files changed, 64 insertions(+), 36 deletions(-)
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rename .Rproj.user/781306AB/sources/{per/t => session-c9b11be1}/A7C6A902 (100%)
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+[1,"GET: /\n"]
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similarity index 100%
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rename to .Rproj.user/781306AB/sources/session-c9b11be1/A7C6A902
diff --git a/.Rproj.user/781306AB/sources/per/t/A7C6A902-contents b/.Rproj.user/781306AB/sources/session-c9b11be1/A7C6A902-contents
similarity index 100%
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index 8e5e7cf..0aa161c 100644
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-{"title":"Demystifying machine learning for population researchers","markdown":{"yaml":{"title":"Demystifying machine learning for population researchers","editor":{"markdown":{"wrap":72}}},"containsRefs":false,"markdown":"\n\nAdvances in computational power and statistical algorithms, in\nconjunction with the increasing availability of large datasets, have led\nto a Cambrian explosion of machine learning (ML) methods. For population\nresearchers, these methods are useful not only for predicting population\ndynamics but also as tools to improve causal inference tasks. However,\nthe rapid evolution of this literature, coupled with terminological\ndisparities from conventional approaches, renders these methods\nenigmatic and arduous for many population researchers to grasp.\n\nThis workshop clarifies the goals, techniques, and applications of\nmachine learning methods for population research. The workshop covers\n\n- an introduction to ML methods for population researchers,\n\n- showcases of ML applications to answer causal questions,\n\n- discussions of the current developments of ML for population health,\n fertility and family dynamics, and\n\n- fosters critical discussions about the shortfalls of these\n techniques.\n\nThe main focus of this workshop is on ML techniques using quantitative\npopulation data and research questions, not on ML language models. The\nworkshop consists of keynotes, contributed sessions, and a tutorial.\n\nThe keynote speakers are IXX and YY.\n\nThis in-person workshop will take place in November 5-6 at the Max\nPlanck Institute for Demographic Research in Rostock. We invite\npopulation researchers with interest in ML applications. We aim to\nreceive contributions from different fields of population sciences, such\nas population health, formal and social demography, public health and\neconomics, among others.\n\nWe invite submission of original research abstract with relevance to ML\nand population sciences (max 500 words) and a CV (max. one page) to\nMLworkshop\\@demogr.mpg.de.\n\nSubmission Deadline: 15. April 2024\n\nDecisions on the selection will be communicated before May 1st. Please\ndirect any questions to this email address.\n\nOrganization committee: Angela Carollo, Aapo Hiilamo, Mikko Myrskyla.\n\n*The workshop has no fees. Participants are expected to cover their\ntravel and accommodation but limited financial support, offered on a\ncompetitive basis, is available for junior scientists or scientists from\nlow-middle income countries. Please indicate the request for such\nfunding at the time of abstract submission.*\n","srcMarkdownNoYaml":"\n\nAdvances in computational power and statistical algorithms, in\nconjunction with the increasing availability of large datasets, have led\nto a Cambrian explosion of machine learning (ML) methods. For population\nresearchers, these methods are useful not only for predicting population\ndynamics but also as tools to improve causal inference tasks. However,\nthe rapid evolution of this literature, coupled with terminological\ndisparities from conventional approaches, renders these methods\nenigmatic and arduous for many population researchers to grasp.\n\nThis workshop clarifies the goals, techniques, and applications of\nmachine learning methods for population research. The workshop covers\n\n- an introduction to ML methods for population researchers,\n\n- showcases of ML applications to answer causal questions,\n\n- discussions of the current developments of ML for population health,\n fertility and family dynamics, and\n\n- fosters critical discussions about the shortfalls of these\n techniques.\n\nThe main focus of this workshop is on ML techniques using quantitative\npopulation data and research questions, not on ML language models. The\nworkshop consists of keynotes, contributed sessions, and a tutorial.\n\nThe keynote speakers are IXX and YY.\n\nThis in-person workshop will take place in November 5-6 at the Max\nPlanck Institute for Demographic Research in Rostock. We invite\npopulation researchers with interest in ML applications. We aim to\nreceive contributions from different fields of population sciences, such\nas population health, formal and social demography, public health and\neconomics, among others.\n\nWe invite submission of original research abstract with relevance to ML\nand population sciences (max 500 words) and a CV (max. one page) to\nMLworkshop\\@demogr.mpg.de.\n\nSubmission Deadline: 15. April 2024\n\nDecisions on the selection will be communicated before May 1st. Please\ndirect any questions to this email address.\n\nOrganization committee: Angela Carollo, Aapo Hiilamo, Mikko Myrskyla.\n\n*The workshop has no fees. Participants are expected to cover their\ntravel and accommodation but limited financial support, offered on a\ncompetitive basis, is available for junior scientists or scientists from\nlow-middle income countries. Please indicate the request for such\nfunding at the time of abstract 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+{"title":"Demystifying machine learning for population researchers","markdown":{"yaml":{"title":"Demystifying machine learning for population researchers","editor":{"markdown":{"wrap":72}}},"containsRefs":false,"markdown":"\n\nAdvances in computational power and statistical algorithms, in\nconjunction with the increasing availability of large datasets, have led\nto a Cambrian explosion of machine learning (ML) methods. For population\nresearchers, these methods are useful not only for predicting population\ndynamics but also as tools to improve causal inference tasks. However,\nthe rapid evolution of this literature, coupled with terminological\ndisparities from conventional approaches, renders these methods\nenigmatic and arduous for many population researchers to grasp.\n\nThis workshop clarifies the goals, techniques, and applications of\nmachine learning methods for population research. The workshop covers\n\n- an introduction to ML methods for population researchers,\n\n- showcases of ML applications to answer causal questions,\n\n- discussions of the current developments of ML for population health,\n fertility and family dynamics, and\n\n- fosters critical discussions about the shortfalls of these\n techniques.\n\nThe main focus of this workshop is on ML techniques using quantitative\npopulation data and research questions, not on ML language models. The\nworkshop consists of keynotes, contributed sessions, and a tutorial.\n\nOne keynote lecture will be delivered by Prof. Ian Lundberg \n(Cornell University, [https://www.ianlundberg.org/](https://www.ianlundberg.org/)). Prof. Jennie E. Brand (UCLA, [https://www.profjenniebrand.com/](https://www.profjenniebrand.com/)) will deliver an online talk.\n\nThis in-person workshop will take place in November 5-6 at the Max\nPlanck Institute for Demographic Research in Rostock. We invite\npopulation researchers with interest in ML applications. We aim to\nreceive contributions from different fields of population sciences, such\nas population health, formal and social demography, public health and\neconomics, among others.\n\nWe invite submission of original research abstract with relevance to ML\nand population sciences (max 500 words) and a CV (max. one page) to\nMLworkshop\\@demogr.mpg.de.\n\nSubmission Deadline: **30. April 2024**\n\nDecisions on the selection will be communicated before May 15th. Please\ndirect any questions to this email address.\n\nOrganization committee: Angela Carollo, Aapo Hiilamo, Mikko Myrskyla.\n\n*The workshop has no fees. Participants are expected to cover their\ntravel and accommodation but limited financial support, offered on a\ncompetitive basis, is available for junior scientists or scientists from\nlow-middle income countries. Please indicate the request for such\nfunding at the time of abstract submission.*\n","srcMarkdownNoYaml":"\n\nAdvances in computational power and statistical algorithms, in\nconjunction with the increasing availability of large datasets, have led\nto a Cambrian explosion of machine learning (ML) methods. For population\nresearchers, these methods are useful not only for predicting population\ndynamics but also as tools to improve causal inference tasks. However,\nthe rapid evolution of this literature, coupled with terminological\ndisparities from conventional approaches, renders these methods\nenigmatic and arduous for many population researchers to grasp.\n\nThis workshop clarifies the goals, techniques, and applications of\nmachine learning methods for population research. The workshop covers\n\n- an introduction to ML methods for population researchers,\n\n- showcases of ML applications to answer causal questions,\n\n- discussions of the current developments of ML for population health,\n fertility and family dynamics, and\n\n- fosters critical discussions about the shortfalls of these\n techniques.\n\nThe main focus of this workshop is on ML techniques using quantitative\npopulation data and research questions, not on ML language models. The\nworkshop consists of keynotes, contributed sessions, and a tutorial.\n\nOne keynote lecture will be delivered by Prof. Ian Lundberg \n(Cornell University, [https://www.ianlundberg.org/](https://www.ianlundberg.org/)). Prof. Jennie E. Brand (UCLA, [https://www.profjenniebrand.com/](https://www.profjenniebrand.com/)) will deliver an online talk.\n\nThis in-person workshop will take place in November 5-6 at the Max\nPlanck Institute for Demographic Research in Rostock. We invite\npopulation researchers with interest in ML applications. We aim to\nreceive contributions from different fields of population sciences, such\nas population health, formal and social demography, public health and\neconomics, among others.\n\nWe invite submission of original research abstract with relevance to ML\nand population sciences (max 500 words) and a CV (max. one page) to\nMLworkshop\\@demogr.mpg.de.\n\nSubmission Deadline: **30. April 2024**\n\nDecisions on the selection will be communicated before May 15th. Please\ndirect any questions to this email address.\n\nOrganization committee: Angela Carollo, Aapo Hiilamo, Mikko Myrskyla.\n\n*The workshop has no fees. Participants are expected to cover their\ntravel and accommodation but limited financial support, offered on a\ncompetitive basis, is available for junior scientists or scientists from\nlow-middle income countries. Please indicate the request for such\nfunding at the time of abstract submission.*\n"},"formats":{"html":{"identifier":{"display-name":"HTML","target-format":"html","base-format":"html"},"execute":{"fig-width":7,"fig-height":5,"fig-format":"retina","fig-dpi":96,"df-print":"default","error":false,"eval":true,"cache":null,"freeze":"auto","echo":true,"output":true,"warning":true,"include":true,"keep-md":false,"keep-ipynb":false,"ipynb":null,"enabled":null,"daemon":null,"daemon-restart":false,"debug":false,"ipynb-filters":[],"engine":"markdown"},"render":{"keep-tex":false,"keep-source":false,"keep-hidden":false,"prefer-html":false,"output-divs":true,"output-ext":"html","fig-align":"default","fig-pos":null,"fig-env":null,"code-fold":"none","code-overflow":"scroll","code-link":false,"code-line-numbers":false,"code-tools":false,"tbl-colwidths":"auto","merge-includes":true,"inline-includes":false,"preserve-yaml":false,"latex-auto-mk":true,"latex-auto-install":true,"latex-clean":true,"latex-max-runs":10,"latex-makeindex":"makeindex","latex-makeindex-opts":[],"latex-tlmgr-opts":[],"latex-input-paths":[],"latex-output-dir":null,"link-external-icon":false,"link-external-newwindow":false,"self-contained-math":false,"format-resources":[],"notebook-links":true,"format-links":true},"pandoc":{"standalone":true,"wrap":"none","default-image-extension":"png","to":"html","css":["styles.css"],"toc":true,"output-file":"index.html"},"language":{"toc-title-document":"Table 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citation:","title-block-author-single":"Author","title-block-author-plural":"Authors","title-block-affiliation-single":"Affiliation","title-block-affiliation-plural":"Affiliations","title-block-published":"Published","title-block-modified":"Modified","callout-tip-title":"Tip","callout-note-title":"Note","callout-warning-title":"Warning","callout-important-title":"Important","callout-caution-title":"Caution","code-summary":"Code","code-tools-menu-caption":"Code","code-tools-show-all-code":"Show All Code","code-tools-hide-all-code":"Hide All Code","code-tools-view-source":"View Source","code-tools-source-code":"Source Code","code-line":"Line","code-lines":"Lines","copy-button-tooltip":"Copy to Clipboard","copy-button-tooltip-success":"Copied!","repo-action-links-edit":"Edit this page","repo-action-links-source":"View source","repo-action-links-issue":"Report an issue","back-to-top":"Back to top","search-no-results-text":"No results","search-matching-documents-text":"matching 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\ No newline at end of file
diff --git a/.quarto/idx/rostock.qmd.json b/.quarto/idx/rostock.qmd.json
index b5c0acc..fc4726f 100644
--- a/.quarto/idx/rostock.qmd.json
+++ b/.quarto/idx/rostock.qmd.json
@@ -1 +1 @@
-{"title":"Rostock","markdown":{"yaml":{"title":"Rostock"},"headingText":"How to get there?","containsRefs":false,"markdown":"\n\n\nSome sentences re travel options\n\n## Where to stay?\n\nSuggested accumodations...\n\n## MPIDR\n\nThe location of the institute\n\n## What to do?\n\nSome sentences on potential visits\n","srcMarkdownNoYaml":"\n\n## How to get there?\n\nSome sentences re travel options\n\n## Where to stay?\n\nSuggested accumodations...\n\n## MPIDR\n\nThe location of the institute\n\n## What to do?\n\nSome sentences on potential visits\n"},"formats":{"html":{"identifier":{"display-name":"HTML","target-format":"html","base-format":"html"},"execute":{"fig-width":7,"fig-height":5,"fig-format":"retina","fig-dpi":96,"df-print":"default","error":false,"eval":true,"cache":null,"freeze":"auto","echo":true,"output":true,"warning":true,"include":true,"keep-md":false,"keep-ipynb":false,"ipynb":null,"enabled":null,"daemon":null,"daemon-restart":false,"debug":false,"ipynb-filters":[],"engine":"markdown"},"render":{"keep-tex":false,"keep-source":false,"keep-hidden":false,"prefer-html":false,"output-divs":true,"output-ext":"html","fig-align":"default","fig-pos":null,"fig-env":null,"code-fold":"none","code-overflow":"scroll","code-link":false,"code-line-numbers":false,"code-tools":false,"tbl-colwidths":"auto","merge-includes":true,"inline-includes":false,"preserve-yaml":false,"latex-auto-mk":true,"latex-auto-install":true,"latex-clean":true,"latex-max-runs":10,"latex-makeindex":"makeindex","latex-makeindex-opts":[],"latex-tlmgr-opts":[],"latex-input-paths":[],"latex-output-dir":null,"link-external-icon":false,"link-external-newwindow":false,"self-contained-math":false,"format-resources":[],"notebook-links":true,"format-links":true},"pandoc":{"standalone":true,"wrap":"none","default-image-extension":"png","to":"html","css":["styles.css"],"toc":true,"output-file":"rostock.html"},"language":{"toc-title-document":"Table of contents","toc-title-website":"On this page","related-formats-title":"Other Formats","related-notebooks-title":"Notebooks","source-notebooks-prefix":"Source","section-title-abstract":"Abstract","section-title-appendices":"Appendices","section-title-footnotes":"Footnotes","section-title-references":"References","section-title-reuse":"Reuse","section-title-copyright":"Copyright","section-title-citation":"Citation","appendix-attribution-cite-as":"For attribution, please cite this work as:","appendix-attribution-bibtex":"BibTeX citation:","title-block-author-single":"Author","title-block-author-plural":"Authors","title-block-affiliation-single":"Affiliation","title-block-affiliation-plural":"Affiliations","title-block-published":"Published","title-block-modified":"Modified","callout-tip-title":"Tip","callout-note-title":"Note","callout-warning-title":"Warning","callout-important-title":"Important","callout-caution-title":"Caution","code-summary":"Code","code-tools-menu-caption":"Code","code-tools-show-all-code":"Show All Code","code-tools-hide-all-code":"Hide All Code","code-tools-view-source":"View Source","code-tools-source-code":"Source Code","code-line":"Line","code-lines":"Lines","copy-button-tooltip":"Copy to Clipboard","copy-button-tooltip-success":"Copied!","repo-action-links-edit":"Edit this page","repo-action-links-source":"View source","repo-action-links-issue":"Report an issue","back-to-top":"Back to top","search-no-results-text":"No results","search-matching-documents-text":"matching documents","search-copy-link-title":"Copy link to search","search-hide-matches-text":"Hide additional matches","search-more-match-text":"more match in this document","search-more-matches-text":"more matches in this document","search-clear-button-title":"Clear","search-detached-cancel-button-title":"Cancel","search-submit-button-title":"Submit","search":"Search","toggle-section":"Toggle section","toggle-sidebar":"Toggle sidebar navigation","toggle-dark-mode":"Toggle dark mode","toggle-reader-mode":"Toggle reader mode","toggle-navigation":"Toggle navigation","crossref-fig-title":"Figure","crossref-tbl-title":"Table","crossref-lst-title":"Listing","crossref-thm-title":"Theorem","crossref-lem-title":"Lemma","crossref-cor-title":"Corollary","crossref-prp-title":"Proposition","crossref-cnj-title":"Conjecture","crossref-def-title":"Definition","crossref-exm-title":"Example","crossref-exr-title":"Exercise","crossref-ch-prefix":"Chapter","crossref-apx-prefix":"Appendix","crossref-sec-prefix":"Section","crossref-eq-prefix":"Equation","crossref-lof-title":"List of Figures","crossref-lot-title":"List of Tables","crossref-lol-title":"List of Listings","environment-proof-title":"Proof","environment-remark-title":"Remark","environment-solution-title":"Solution","listing-page-order-by":"Order By","listing-page-order-by-default":"Default","listing-page-order-by-date-asc":"Oldest","listing-page-order-by-date-desc":"Newest","listing-page-order-by-number-desc":"High to Low","listing-page-order-by-number-asc":"Low to High","listing-page-field-date":"Date","listing-page-field-title":"Title","listing-page-field-description":"Description","listing-page-field-author":"Author","listing-page-field-filename":"File Name","listing-page-field-filemodified":"Modified","listing-page-field-subtitle":"Subtitle","listing-page-field-readingtime":"Reading Time","listing-page-field-categories":"Categories","listing-page-minutes-compact":"{0} min","listing-page-category-all":"All","listing-page-no-matches":"No matching items"},"metadata":{"lang":"en","fig-responsive":true,"quarto-version":"1.3.353","style":"docked","title":"Rostock"},"extensions":{"book":{"multiFile":true}}}},"projectFormats":["html"]}
\ No newline at end of file
+{"title":"Rostock","markdown":{"yaml":{"title":"Rostock"},"headingText":"How to get there?","containsRefs":false,"markdown":"\n\n\nRostock can be reached by train from the international airports of Berlin (BER) and Hamburg (HAM).\nInformation about train schedules and tickets can be found [here](https://int.bahn.de/en).\n\n\n## Where to stay?\n\nThere are several options for accommodation in Rostock. \nWe recommend the following hotels: \n- [Motel One Rostock](https://www.motel-one.com/de/hotels/rostock/hotel-rostock/) in the city center, is only a 20 minutes walk from the Institute. \n- [B&B HOTEL Rostock City-West](https://www.hotel-bb.com/en/hotel/rostock-city-west?original_action=%2Fen%2Fhotel%2Frostock-city-west&gps%5Bvalue%5D=54.0933079%2C12.1096176&gps%5Bdistance%5D%5Bfrom%5D=50&arrival_date=11%2F04%2F2024&departure_date=11%2F06%2F2024&destination=Rostock%20City-West&internal_keywords=Rostock%20City-West&viewport=1900x700&r1_ad=1¤cy_code=EUR) right in front of the Institute. \n- [elaya hotel Rostock](https://www.elaya-hotels.com/booking1?sid=b1fea75e-34cd-4d0d-83d7-df8e432f463f&utm_source=GoogleHPA_free&utm_medium=Triptease&utm_campaign=MetaI/O&utm_content=Localuniversal&_ga=2.188343656.1589964683.1712046656-731039083.1712046656&namespace=elaya-hotel-rostock) also in front of the Institute. \n\n## MPIDR\n\nThe Max Planck Institute for Demographic Research is located at the Warnow River.\n\nAddress: \nMax Planck Institute for Demographic Research (MPIDR) \nKonrad-Zuse-Straße 1 \n18057 Rostock \nGermany \n[Google maps](https://www.google.com/maps/place/Max-Planck-Institut+f%C3%BCr+demografische+Forschung/@54.0938719,12.1108679,15z/data=!4m6!3m5!1s0x47ac5736236814e3:0x23782ba4da7b5a3d!8m2!3d54.0938719!4d12.1108679!16zL20vMGdrdzk4?entry=tts&shorturl=1)\n\nThe nearest public transportation stops in Rostock are: *Maßmannstraße* (tram) and *Holbeinplatz* (S-Bahn). Information about public transportation can be found [here](https://www.rsag-online.de/).\n\n\n## What to do?\n\nThe Hanseatic and University city of Rostock is the largest city in German state of Mecklemburg-Vorpommern. It stretches along boths sides of the Warnow River, and it includes the seaside town of Warnemünde. \nFor information about activities and destinations in Rostock, we refer to the official page from the municipality [here](https://www.rostock.de/en/activities.html).\n","srcMarkdownNoYaml":"\n\n## How to get there?\n\nRostock can be reached by train from the international airports of Berlin (BER) and Hamburg (HAM).\nInformation about train schedules and tickets can be found [here](https://int.bahn.de/en).\n\n\n## Where to stay?\n\nThere are several options for accommodation in Rostock. \nWe recommend the following hotels: \n- [Motel One Rostock](https://www.motel-one.com/de/hotels/rostock/hotel-rostock/) in the city center, is only a 20 minutes walk from the Institute. \n- [B&B HOTEL Rostock City-West](https://www.hotel-bb.com/en/hotel/rostock-city-west?original_action=%2Fen%2Fhotel%2Frostock-city-west&gps%5Bvalue%5D=54.0933079%2C12.1096176&gps%5Bdistance%5D%5Bfrom%5D=50&arrival_date=11%2F04%2F2024&departure_date=11%2F06%2F2024&destination=Rostock%20City-West&internal_keywords=Rostock%20City-West&viewport=1900x700&r1_ad=1¤cy_code=EUR) right in front of the Institute. \n- [elaya hotel Rostock](https://www.elaya-hotels.com/booking1?sid=b1fea75e-34cd-4d0d-83d7-df8e432f463f&utm_source=GoogleHPA_free&utm_medium=Triptease&utm_campaign=MetaI/O&utm_content=Localuniversal&_ga=2.188343656.1589964683.1712046656-731039083.1712046656&namespace=elaya-hotel-rostock) also in front of the Institute. \n\n## MPIDR\n\nThe Max Planck Institute for Demographic Research is located at the Warnow River.\n\nAddress: \nMax Planck Institute for Demographic Research (MPIDR) \nKonrad-Zuse-Straße 1 \n18057 Rostock \nGermany \n[Google maps](https://www.google.com/maps/place/Max-Planck-Institut+f%C3%BCr+demografische+Forschung/@54.0938719,12.1108679,15z/data=!4m6!3m5!1s0x47ac5736236814e3:0x23782ba4da7b5a3d!8m2!3d54.0938719!4d12.1108679!16zL20vMGdrdzk4?entry=tts&shorturl=1)\n\nThe nearest public transportation stops in Rostock are: *Maßmannstraße* (tram) and *Holbeinplatz* (S-Bahn). Information about public transportation can be found [here](https://www.rsag-online.de/).\n\n\n## What to do?\n\nThe Hanseatic and University city of Rostock is the largest city in German state of Mecklemburg-Vorpommern. It stretches along boths sides of the Warnow River, and it includes the seaside town of Warnemünde. \nFor information about activities and destinations in Rostock, we refer to the official page from the municipality [here](https://www.rostock.de/en/activities.html).\n"},"formats":{"html":{"identifier":{"display-name":"HTML","target-format":"html","base-format":"html"},"execute":{"fig-width":7,"fig-height":5,"fig-format":"retina","fig-dpi":96,"df-print":"default","error":false,"eval":true,"cache":null,"freeze":"auto","echo":true,"output":true,"warning":true,"include":true,"keep-md":false,"keep-ipynb":false,"ipynb":null,"enabled":null,"daemon":null,"daemon-restart":false,"debug":false,"ipynb-filters":[],"engine":"markdown"},"render":{"keep-tex":false,"keep-source":false,"keep-hidden":false,"prefer-html":false,"output-divs":true,"output-ext":"html","fig-align":"default","fig-pos":null,"fig-env":null,"code-fold":"none","code-overflow":"scroll","code-link":false,"code-line-numbers":false,"code-tools":false,"tbl-colwidths":"auto","merge-includes":true,"inline-includes":false,"preserve-yaml":false,"latex-auto-mk":true,"latex-auto-install":true,"latex-clean":true,"latex-max-runs":10,"latex-makeindex":"makeindex","latex-makeindex-opts":[],"latex-tlmgr-opts":[],"latex-input-paths":[],"latex-output-dir":null,"link-external-icon":false,"link-external-newwindow":false,"self-contained-math":false,"format-resources":[],"notebook-links":true,"format-links":true},"pandoc":{"standalone":true,"wrap":"none","default-image-extension":"png","to":"html","css":["styles.css"],"toc":true,"output-file":"rostock.html"},"language":{"toc-title-document":"Table 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diff --git a/.quarto/idx/schedule.qmd.json b/.quarto/idx/schedule.qmd.json
index c48b131..f8eb64e 100644
--- a/.quarto/idx/schedule.qmd.json
+++ b/.quarto/idx/schedule.qmd.json
@@ -1 +1 @@
-{"title":"Schedule","markdown":{"yaml":{"title":"Schedule"},"containsRefs":false,"markdown":"\n\nPreliminary program:\n\n| | Tuesday | Wednesday |\n|:---:|:-----------------------------------:|:--------------------------------------:|\n| Morning | Welcome & keynote | Contributed session 3 |\n| Early afternoon | Contributed session 1 | Keynote 2 |\n| Late afternoon | Contributed session 2 | Contributed session 4 + panel disucssion |\n| Evening | Social dinner | |\n","srcMarkdownNoYaml":"\n\nPreliminary program:\n\n| | Tuesday | Wednesday |\n|:---:|:-----------------------------------:|:--------------------------------------:|\n| Morning | Welcome & keynote | Contributed session 3 |\n| Early afternoon | Contributed session 1 | Keynote 2 |\n| Late afternoon | Contributed session 2 | Contributed session 4 + panel disucssion |\n| Evening | Social dinner | 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\ No newline at end of file
+{"title":"Schedule","markdown":{"yaml":{"title":"Schedule"},"containsRefs":false,"markdown":"\n\nPreliminary program:\n\n| | Tuesday | Wednesday |\n|:---:|:-----------------------------------:|:--------------------------------------:|\n| Morning | Welcome & keynote | Contributed session 3 |\n| Early afternoon | Contributed session 1 & tutorial | Keynote 2 |\n| Late afternoon | Contributed session 2 | Contributed session 4 + panel discussion |\n| Evening | Social dinner | |\n","srcMarkdownNoYaml":"\n\nPreliminary program:\n\n| | Tuesday | Wednesday |\n|:---:|:-----------------------------------:|:--------------------------------------:|\n| Morning | Welcome & keynote | Contributed session 3 |\n| Early afternoon | Contributed session 1 & tutorial | Keynote 2 |\n| Late afternoon | Contributed session 2 | Contributed session 4 + panel discussion |\n| Evening | Social dinner | |\n"},"formats":{"html":{"identifier":{"display-name":"HTML","target-format":"html","base-format":"html"},"execute":{"fig-width":7,"fig-height":5,"fig-format":"retina","fig-dpi":96,"df-print":"default","error":false,"eval":true,"cache":null,"freeze":"auto","echo":true,"output":true,"warning":true,"include":true,"keep-md":false,"keep-ipynb":false,"ipynb":null,"enabled":null,"daemon":null,"daemon-restart":false,"debug":false,"ipynb-filters":[],"engine":"markdown"},"render":{"keep-tex":false,"keep-source":false,"keep-hidden":false,"prefer-html":false,"output-divs":true,"output-ext":"html","fig-align":"default","fig-pos":null,"fig-env":null,"code-fold":"none","code-overflow":"scroll","code-link":false,"code-line-numbers":false,"code-tools":false,"tbl-colwidths":"auto","merge-includes":true,"inline-includes":false,"preserve-yaml":false,"latex-auto-mk":true,"latex-auto-install":true,"latex-clean":true,"latex-max-runs":10,"latex-makeindex":"makeindex","latex-makeindex-opts":[],"latex-tlmgr-opts":[],"latex-input-paths":[],"latex-output-dir":null,"link-external-icon":false,"link-external-newwindow":false,"self-contained-math":false,"format-resources":[],"notebook-links":true,"format-links":true},"pandoc":{"standalone":true,"wrap":"none","default-image-extension":"png","to":"html","css":["styles.css"],"toc":true,"output-file":"schedule.html"},"language":{"toc-title-document":"Table 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diff --git a/.quarto/preview/lock b/.quarto/preview/lock
new file mode 100644
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diff --git a/.quarto/xref/33a06ec0 b/.quarto/xref/33a06ec0
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diff --git a/.quarto/xref/b5d2501f b/.quarto/xref/b5d2501f
index 208374b..7df77d5 100644
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diff --git a/.quarto/xref/ef41f884 b/.quarto/xref/ef41f884
index 97da2e8..c47ba20 100644
--- a/.quarto/xref/ef41f884
+++ b/.quarto/xref/ef41f884
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-{"entries":[],"headings":["how-to-reach-us","section"]}
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+{"entries":[],"headings":["how-to-reach-us"]}
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diff --git a/docs/contact.html b/docs/contact.html
index 18a7dd6..e6d886d 100644
--- a/docs/contact.html
+++ b/docs/contact.html
@@ -134,7 +134,6 @@ On this page
@@ -160,10 +159,12 @@ Rostock
How to reach us
-Some sentences re travel options
-
-
-
+Max Planck Institute for Demographic Research
+Konrad-Zuse-Str. 1
+18057 Rostock, Germany
+MLworkshop@demogr.mpg.de
+SCIENTIFIC ORGANIZING COMMITTEE
+Angela Carollo, Aapo Hiilamo and Mikko Myrskylä
diff --git a/docs/index.html b/docs/index.html
index 19cc985..f061709 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -160,11 +160,11 @@ Demystifying machine learning for population researchers
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.
-The keynote speakers are IXX and YY.
+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.
-Submission Deadline: 15. April 2024
-Decisions on the selection will be communicated before May 1st. Please direct any questions to this email address.
+Submission Deadline: 30. April 2024
+Decisions on the selection will be communicated before May 15th. Please direct any questions to this email address.
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.
diff --git a/docs/rostock.html b/docs/rostock.html
index 885cf53..af57eb3 100644
--- a/docs/rostock.html
+++ b/docs/rostock.html
@@ -162,19 +162,30 @@ Rostock
How to get there?
-Some sentences re travel options
+Rostock can be reached by train from the international airports of Berlin (BER) and Hamburg (HAM). Information about train schedules and tickets can be found here.
Where to stay?
-Suggested accumodations…
+There are several options for accommodation in Rostock.
+We recommend the following hotels:
+- Motel One Rostock in the city center, is only a 20 minutes walk from the Institute.
+- B&B HOTEL Rostock City-West right in front of the Institute.
+- elaya hotel Rostock also in front of the Institute.
MPIDR
-The location of the institute
+The Max Planck Institute for Demographic Research is located at the Warnow River.
+Address:
+Max Planck Institute for Demographic Research (MPIDR)
+Konrad-Zuse-Straße 1
+18057 Rostock
+Germany
+Google maps
+The nearest public transportation stops in Rostock are: Maßmannstraße (tram) and Holbeinplatz (S-Bahn). Information about public transportation can be found here.
What to do?
-Some sentences on potential visits
+The Hanseatic and University city of Rostock is the largest city in German state of Mecklemburg-Vorpommern. It stretches along boths sides of the Warnow River, and it includes the seaside town of Warnemünde. For information about activities and destinations in Rostock, we refer to the official page from the municipality here.
diff --git a/docs/schedule.html b/docs/schedule.html
index 9158715..69470a9 100644
--- a/docs/schedule.html
+++ b/docs/schedule.html
@@ -173,13 +173,13 @@ Schedule
| Early afternoon |
-Contributed session 1 |
+Contributed session 1 & tutorial |
Keynote 2 |
| Late afternoon |
Contributed session 2 |
-Contributed session 4 + panel disucssion |
+Contributed session 4 + panel discussion |
| Evening |
diff --git a/docs/search.json b/docs/search.json
index a3f7a3f..8d54d46 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -4,21 +4,21 @@
"href": "contact.html",
"title": "Rostock",
"section": "",
- "text": "Some sentences re travel options"
+ "text": "Max Planck Institute for Demographic Research\nKonrad-Zuse-Str. 1\n18057 Rostock, Germany\nMLworkshop@demogr.mpg.de\nSCIENTIFIC ORGANIZING COMMITTEE\nAngela Carollo, Aapo Hiilamo and Mikko Myrskylä"
},
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"objectID": "contact.html#how-to-reach-us",
"href": "contact.html#how-to-reach-us",
"title": "Rostock",
"section": "",
- "text": "Some sentences re travel options"
+ "text": "Max Planck Institute for Demographic Research\nKonrad-Zuse-Str. 1\n18057 Rostock, Germany\nMLworkshop@demogr.mpg.de\nSCIENTIFIC ORGANIZING COMMITTEE\nAngela Carollo, Aapo Hiilamo and Mikko Myrskylä"
},
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"objectID": "index.html",
"href": "index.html",
"title": "Demystifying machine learning for population researchers",
"section": "",
- "text": "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.\nThis workshop clarifies the goals, techniques, and applications of machine learning methods for population research. The workshop covers\n\nan introduction to ML methods for population researchers,\nshowcases of ML applications to answer causal questions,\ndiscussions of the current developments of ML for population health, fertility and family dynamics, and\nfosters critical discussions about the shortfalls of these techniques.\n\nThe 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.\nThe keynote speakers are IXX and YY.\nThis 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.\nWe 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.\nSubmission Deadline: 15. April 2024\nDecisions on the selection will be communicated before May 1st. Please direct any questions to this email address.\nOrganization committee: Angela Carollo, Aapo Hiilamo, Mikko Myrskyla.\nThe 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."
+ "text": "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.\nThis workshop clarifies the goals, techniques, and applications of machine learning methods for population research. The workshop covers\n\nan introduction to ML methods for population researchers,\nshowcases of ML applications to answer causal questions,\ndiscussions of the current developments of ML for population health, fertility and family dynamics, and\nfosters critical discussions about the shortfalls of these techniques.\n\nThe 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.\nOne 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.\nThis 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.\nWe 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.\nSubmission Deadline: 30. April 2024\nDecisions on the selection will be communicated before May 15th. Please direct any questions to this email address.\nOrganization committee: Angela Carollo, Aapo Hiilamo, Mikko Myrskyla.\nThe 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."
},
{
"objectID": "materials.html",
@@ -32,41 +32,41 @@
"href": "rostock.html",
"title": "Rostock",
"section": "",
- "text": "Some sentences re travel options"
+ "text": "Rostock can be reached by train from the international airports of Berlin (BER) and Hamburg (HAM). Information about train schedules and tickets can be found here."
},
{
"objectID": "rostock.html#how-to-get-there",
"href": "rostock.html#how-to-get-there",
"title": "Rostock",
"section": "",
- "text": "Some sentences re travel options"
+ "text": "Rostock can be reached by train from the international airports of Berlin (BER) and Hamburg (HAM). Information about train schedules and tickets can be found here."
},
{
"objectID": "rostock.html#where-to-stay",
"href": "rostock.html#where-to-stay",
"title": "Rostock",
"section": "Where to stay?",
- "text": "Where to stay?\nSuggested accumodations…"
+ "text": "Where to stay?\nThere are several options for accommodation in Rostock.\nWe recommend the following hotels:\n- Motel One Rostock in the city center, is only a 20 minutes walk from the Institute.\n- B&B HOTEL Rostock City-West right in front of the Institute.\n- elaya hotel Rostock also in front of the Institute."
},
{
"objectID": "rostock.html#mpidr",
"href": "rostock.html#mpidr",
"title": "Rostock",
"section": "MPIDR",
- "text": "MPIDR\nThe location of the institute"
+ "text": "MPIDR\nThe Max Planck Institute for Demographic Research is located at the Warnow River.\nAddress:\nMax Planck Institute for Demographic Research (MPIDR)\nKonrad-Zuse-Straße 1\n18057 Rostock\nGermany\nGoogle maps\nThe nearest public transportation stops in Rostock are: Maßmannstraße (tram) and Holbeinplatz (S-Bahn). Information about public transportation can be found here."
},
{
"objectID": "rostock.html#what-to-do",
"href": "rostock.html#what-to-do",
"title": "Rostock",
"section": "What to do?",
- "text": "What to do?\nSome sentences on potential visits"
+ "text": "What to do?\nThe Hanseatic and University city of Rostock is the largest city in German state of Mecklemburg-Vorpommern. It stretches along boths sides of the Warnow River, and it includes the seaside town of Warnemünde. For information about activities and destinations in Rostock, we refer to the official page from the municipality here."
},
{
"objectID": "schedule.html",
"href": "schedule.html",
"title": "Schedule",
"section": "",
- "text": "Preliminary program:\n\n\n\n\n\n\n\n\n\nTuesday\nWednesday\n\n\n\n\nMorning\nWelcome & keynote\nContributed session 3\n\n\nEarly afternoon\nContributed session 1\nKeynote 2\n\n\nLate afternoon\nContributed session 2\nContributed session 4 + panel disucssion\n\n\nEvening\nSocial dinner"
+ "text": "Preliminary program:\n\n\n\n\n\n\n\n\n\nTuesday\nWednesday\n\n\n\n\nMorning\nWelcome & keynote\nContributed session 3\n\n\nEarly afternoon\nContributed session 1 & tutorial\nKeynote 2\n\n\nLate afternoon\nContributed session 2\nContributed session 4 + panel discussion\n\n\nEvening\nSocial dinner"
}
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