Update meetup data

data/chapters_meetup.json

@@ -342,7 +342,7 @@
     "country_acronym": "it",
     "state": "RM",
     "city": "Roma",
-    "members": 1310,
+    "members": 1312,
     "lat": 41.9,
     "lon": 12.48,
     "timezone": "Europe/Rome"
@@ -978,7 +978,7 @@
     "country_acronym": "mx",
     "state": "",
     "city": "Monterrey",
-    "members": 398,
+    "members": 397,
     "lat": 25.67,
     "lon": -100.32,
     "timezone": "America/Monterrey"
@@ -1554,7 +1554,7 @@
     "country_acronym": "ar",
     "state": "",
     "city": "Buenos Aires",
-    "members": 1686,
+    "members": 1685,
     "lat": -34.61,
     "lon": -58.37,
     "timezone": "America/Argentina/Buenos_Aires"
@@ -2586,7 +2586,7 @@
     "country_acronym": "ar",
     "state": "",
     "city": "Santa Fe",
-    "members": 224,
+    "members": 223,
     "lat": -31.6,
     "lon": -60.69,
     "timezone": "America/Argentina/Cordoba"
@@ -2790,7 +2790,7 @@
     "country_acronym": "za",
     "state": "",
     "city": "Johannesburg",
-    "members": 1119,
+    "members": 1118,
     "lat": -26.19,
     "lon": 28.04,
     "timezone": "Africa/Johannesburg"

data/events.json

@@ -101,7 +101,7 @@
     "id": "303097762",
     "group_urlname": "rladies-aurora",
     "title": "Python in R",
-    "body": "<h6 class='entry-title mt-2' style='font-size: 1.5em !important';>Python in R<\/h6><p><i class='fa fa-users'><\/i>&emsp;24<\/p><p class='text-truncate'>The **reticulate** package provides a comprehensive set of tools for interoperability between Python and R. The package includes facilities for:\n\nWHO is this for?\n\n* If you are familiar with Python but want to use it seamlessly w/ R.\n* If you want to end the R vs Py battles.\n* If you are a language agnostic...\n* If you are a Pythonista with a secret love for R.\n* If any of this is true, this workshop might be for you!\n\nAGENDA\n5:00–5:10 Meet & Greet \\| 🍕\\| Set\\-up\n5:10–6:15 Workshop: Reticulate, python in R\n6:15–6:30 Q&A\\| Networking\n\nSETUP INSTRUCTIONS\n\\*This is a hands-on workshop. Please bring your laptop\n\n* Before the Workshop: install or update R, RStudio, Python, conda, and VSCode. See full instructions for installing or updating your software: https://github.com/rladies-aurora/202412-Python-in-R/tree/main/setup-instructions\n* [Windows](https://github.com/rladies-aurora/202412-Python-in-R/blob/main/setup-instructions/windows_install_python.md)\n* [Mac OS](https://github.com/rladies-aurora/202412-Python-in-R/blob/main/setup-instructions/macos_install_python.md)\n* [Ubuntu](https://github.com/rladies-aurora/202412-Python-in-R/blob/main/setup-instructions/ubuntu_install_python.md)\n\nHaving trouble with installation & set-up? Ping us on Discord! Or come 15min early.\n\nUSEFUL RESOURCES\n\n* Past workshops: https://github.com/rladies-eastlansing\n* Cheatsheets: https://github.com/rladies-eastlansing/cheatsheets\n* Software Carpentry's Video Tutorial for installing R and R Studio:\n* For Windows Users: https://www.youtube.com/watch?v=q0PjTAylwoU\n* For Mac Users: https://www.youtube.com/watch?v=5-ly3kyxwEg\n\nSET-UP\n\n* To benefit most from this workshop, please bring your laptop with pre-installed RStudio (https://www.rstudio.com/products/rstudio/) and R.\n* Please ping us on Discord (https://discord.gg/hyZKcbGSWw) or email us ([email protected]) with questions, if any.\n\nSponsor: TBD<\/p><center><a href='https://www.meetup.com/rladies-aurora/events/303097762' target='_blank'><button class='btn btn-primary'>Event page<\/button><\/center><\/a>",
+    "body": "<h6 class='entry-title mt-2' style='font-size: 1.5em !important';>Python in R<\/h6><p><i class='fa fa-users'><\/i>&emsp;25<\/p><p class='text-truncate'>The **reticulate** package provides a comprehensive set of tools for interoperability between Python and R. The package includes facilities for:\n\nWHO is this for?\n\n* If you are familiar with Python but want to use it seamlessly w/ R.\n* If you want to end the R vs Py battles.\n* If you are a language agnostic...\n* If you are a Pythonista with a secret love for R.\n* If any of this is true, this workshop might be for you!\n\nAGENDA\n5:00–5:10 Meet & Greet \\| 🍕\\| Set\\-up\n5:10–6:15 Workshop: Reticulate, python in R\n6:15–6:30 Q&A\\| Networking\n\nSETUP INSTRUCTIONS\n\\*This is a hands-on workshop. Please bring your laptop\n\n* Before the Workshop: install or update R, RStudio, Python, conda, and VSCode. See full instructions for installing or updating your software: https://github.com/rladies-aurora/202412-Python-in-R/tree/main/setup-instructions\n* [Windows](https://github.com/rladies-aurora/202412-Python-in-R/blob/main/setup-instructions/windows_install_python.md)\n* [Mac OS](https://github.com/rladies-aurora/202412-Python-in-R/blob/main/setup-instructions/macos_install_python.md)\n* [Ubuntu](https://github.com/rladies-aurora/202412-Python-in-R/blob/main/setup-instructions/ubuntu_install_python.md)\n\nHaving trouble with installation & set-up? Ping us on Discord! Or come 15min early.\n\nUSEFUL RESOURCES\n\n* Past workshops: https://github.com/rladies-eastlansing\n* Cheatsheets: https://github.com/rladies-eastlansing/cheatsheets\n* Software Carpentry's Video Tutorial for installing R and R Studio:\n* For Windows Users: https://www.youtube.com/watch?v=q0PjTAylwoU\n* For Mac Users: https://www.youtube.com/watch?v=5-ly3kyxwEg\n\nSET-UP\n\n* To benefit most from this workshop, please bring your laptop with pre-installed RStudio (https://www.rstudio.com/products/rstudio/) and R.\n* Please ping us on Discord (https://discord.gg/hyZKcbGSWw) or email us ([email protected]) with questions, if any.\n\nSponsor: TBD<\/p><center><a href='https://www.meetup.com/rladies-aurora/events/303097762' target='_blank'><button class='btn btn-primary'>Event page<\/button><\/center><\/a>",
     "start": "2025-01-28 17:00:07",
     "end": "2025-01-28 18:30:07",
     "date": "2025-01-28",
@@ -115,7 +115,7 @@
     "id": "304199693",
     "group_urlname": "rladies-philly",
     "title": "Lunch&Learn: {targets} with Irena Papst",
-    "body": "<h6 class='entry-title mt-2' style='font-size: 1.5em !important';>Lunch&Learn: {targets} with Irena Papst<\/h6><p><i class='fa fa-users'><\/i>&emsp;28<\/p><p class='text-truncate'>Do you ever find yourself starting with a simple analysis script only to end up wrangling a thousand line behemoth? Are you sick of wasting time re-running long scripts from start to finish, just to make sure everything is up-to-date? Are you (haphazardly?) saving objects to file because they take a long time to generate? There’s got to be a better way!\n\nEnter {targets}, an R package used to build reproducible, efficient, and scalable pipelines. {targets} can free you from many common analysis management tasks so that you can focus on the analysis itself. In this session, I’ll introduce the {targets} package and share how I’ve used it to streamline my work. I'll also highlight some tips and tricks that I've learned from my experience with the package over the last two years.<\/p><center><a href='https://www.meetup.com/rladies-philly/events/304199693' target='_blank'><button class='btn btn-primary'>Event page<\/button><\/center><\/a>",
+    "body": "<h6 class='entry-title mt-2' style='font-size: 1.5em !important';>Lunch&Learn: {targets} with Irena Papst<\/h6><p><i class='fa fa-users'><\/i>&emsp;29<\/p><p class='text-truncate'>Do you ever find yourself starting with a simple analysis script only to end up wrangling a thousand line behemoth? Are you sick of wasting time re-running long scripts from start to finish, just to make sure everything is up-to-date? Are you (haphazardly?) saving objects to file because they take a long time to generate? There’s got to be a better way!\n\nEnter {targets}, an R package used to build reproducible, efficient, and scalable pipelines. {targets} can free you from many common analysis management tasks so that you can focus on the analysis itself. In this session, I’ll introduce the {targets} package and share how I’ve used it to streamline my work. I'll also highlight some tips and tricks that I've learned from my experience with the package over the last two years.<\/p><center><a href='https://www.meetup.com/rladies-philly/events/304199693' target='_blank'><button class='btn btn-primary'>Event page<\/button><\/center><\/a>",
     "start": "2025-01-22 12:00:05",
     "end": "2025-01-22 13:00:05",
     "date": "2025-01-22",
@@ -125,6 +125,20 @@
     "lon": 179.1962,
     "description": "Do you ever find yourself starting with a simple analysis script only to end up wrangling a thousand line behemoth? Are you sick of wasting time re-running long scripts from start to finish, just to make sure everything is up-to-date? Are you (haphazardly?) saving objects to file because they take a long time to generate? There’s got to be a better way!\n\nEnter {targets}, an R package used to build reproducible, efficient, and scalable pipelines. {targets} can free you from many common analysis management tasks so that you can focus on the analysis itself. In this session, I’ll introduce the {targets} package and share how I’ve used it to streamline my work. I'll also highlight some tips and tricks that I've learned from my experience with the package over the last two years."
   },
+  {
+    "id": "305279450",
+    "group_urlname": "rladies-rome",
+    "title": "Deathly Dataviz: How public health dashboards can backfire",
+    "body": "<h6 class='entry-title mt-2' style='font-size: 1.5em !important';>Deathly Dataviz: How public health dashboards can backfire<\/h6><p><i class='fa fa-users'><\/i>&emsp;13<\/p><p class='text-truncate'>***\"...and, what can we do instead.\"***\n\nCan risk ratios be risky? Can visualizing health disparities make them worse? Can our design choices influence these unhealthy backfire effects?\n\nExplore how health dashboards can backfire and what ethical, effective design looks like. Perfect timing as *health equity is more important than ever*!\n\nIn this talk, we’ll explore the social impacts of visualizing inequality and disparities in social outcomes. Drawing on Eli’s IEEE VIS research, we’ll uncover how popular dataviz practices—like bar graphs of group mortality risks—can unintentionally reinforce harmful misbeliefs, with real-world consequences for the populations being visualized.\n\nThrough thought-provoking examples and actionable insights, this session will examine how dataviz intersects with social justice. Learn practical strategies to critically evaluate your designs and adopt approaches that amplify equity instead of exacerbating disparities.\n\nWhether you’re a health communicator, social scientist, or data enthusiast, this talk offers valuable insights for anyone working with data about people.\n\nJoin us to discover how thoughtful design can transform data into a tool for equity and understanding.<\/p><center><a href='https://www.meetup.com/rladies-rome/events/305279450' target='_blank'><button class='btn btn-primary'>Event page<\/button><\/center><\/a>",
+    "start": "2025-01-09 18:00:01",
+    "end": "2025-01-09 20:00:01",
+    "date": "2025-01-09",
+    "location": "Online event",
+    "type": "published",
+    "lat": -8.5211,
+    "lon": 179.1962,
+    "description": "***\"...and, what can we do instead.\"***\n\nCan risk ratios be risky? Can visualizing health disparities make them worse? Can our design choices influence these unhealthy backfire effects?\n\nExplore how health dashboards can backfire and what ethical, effective design looks like. Perfect timing as *health equity is more important than ever*!\n\nIn this talk, we’ll explore the social impacts of visualizing inequality and disparities in social outcomes. Drawing on Eli’s IEEE VIS research, we’ll uncover how popular dataviz practices—like bar graphs of group mortality risks—can unintentionally reinforce harmful misbeliefs, with real-world consequences for the populations being visualized.\n\nThrough thought-provoking examples and actionable insights, this session will examine how dataviz intersects with social justice. Learn practical strategies to critically evaluate your designs and adopt approaches that amplify equity instead of exacerbating disparities.\n\nWhether you’re a health communicator, social scientist, or data enthusiast, this talk offers valuable insights for anyone working with data about people.\n\nJoin us to discover how thoughtful design can transform data into a tool for equity and understanding."
+  },
   {
     "id": "304978583",
     "group_urlname": "rladies-seattle",

data/events_updated.json

@@ -1,6 +1,6 @@
 [
   {
-    "date": "2024-12-28 12:11:26",
+    "date": "2024-12-29 00:37:29",
     "n_events_past": 3943
   }
 ]