Skip to main content

StanCon 2020 is on Thursday!

For all that registered for the conference, THANK YOU! We, the organizers, are truly moved by how global and inclusive the community has become.

We are currently at 230 registrants from 33 countries. And 25 scholarships were provided to people in 12 countries.

Please join us. Registration is $50. We have scholarships still available (more info on the registration page).

Updates

  • Videos for contributed talks and developer talks are online! Register now and you’ll be sent a password.
  • Our plenary speakers have all been confirmed (these will happen live at StanCon):
    • Seth Flaxman; Imperial College, London; “Hierarchical Models for Covid – identifying effects of lockdown and an R package”
    • Moriba Jah; Oden Institute for Computational Engineering & Sciences; “Multi-Source Information Modeling, Curation, and Fusion Enabling Transdisciplinary Decision-Making: A Case for Space!”
    • David Shor; “STAN and US Politics”
  • Thank you to our sponsors, Metrum Research Group and Jumping Rivers!
  • We’ve increased the number of scholarships and they are still available!

If you’re on the fence about whether to attend, we’ve done our best to bring out what makes StanCon special: the Stan Community. For a few hours, you get to spend time with Stan users and developers from around the world, sitting at tables discussing things that you’d discuss at StanCon.

Information for Attendees

  • To get the most out of StanCon, please watch the videos ahead of time. During StanCon, we will be having discussions based on the talks.
  • We are using a platform called Remo. After the talks are over, please stay for a while and hang out with the speakers and members of the community. There are virtual tables where you’ll be able to sit down and interact.
  • There is a poster session: https://www.stancon.mc-stan.org/posters. The presenters will be at tables following the talks.
  • This is a global, inclusive event for everyone. Everyone attending acknowledged the Code of Conduct. We hope there are no issues, but if there are, there will be moderators to help.

StanCon Registrants

Right now, we’re at 230 registrants. Of those, there were addresses for 202. Here’s where people are coming from.

  • Registrants (202/230); 33 countries
    • USA 94
    • UK 35
    • Canada 17
    • United Kingdom 6
    • Germany 5
    • Switzerland 4
    • Australia 4
    • Finland 4
    • Sweden 4
    • Netherlands 3
    • Brazil 3
    • Czech Republic 2
    • Poland 2
    • Denmark 2
    • Mexico 2
    • Korea 2
    • Singapore 1
    • Belgium 1
    • Saudi Arabia 1
    • India 1
    • China 1
    • Spain 1
    • Japan 1
    • Austria 1
    • Iceland 1
    • Scotland 1
    • Senegal 1
    • Indonesia 1
    • Hungary 1
    • Greece 1
    • Slovenia 1
    • Argentina 1
  • Scholarships (22/25); 12 countries:
    • USA 7
    • UK 3
    • Canada 2
    • Korea 2
    • Australia 1
    • Belgium 1
    • Poland 1
    • China 1
    • Mexico 1
    • Senegal 1
    • Indonesia 1
    • Argentina 1

Original post on Stan’s Discourse.



from Statistical Modeling, Causal Inference, and Social Science https://ift.tt/2PBeTZW
via IFTTT
Labels:

Comments

Post a Comment

Popular posts from this blog

Controlling legend appearance in ggplot2 with override.aes

[This article was first published on Very statisticious on Very statisticious , and kindly contributed to R-bloggers ]. (You can report issue about the content on this page here ) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In ggplot2 , aesthetics and their scale_*() functions change both the plot appearance and the plot legend appearance simultaneously. The override.aes argument in guide_legend() allows the user to change only the legend appearance without affecting the rest of the plot. This is useful for making the legend more readable or for creating certain types of combined legends. In this post I’ll first introduce override.aes with a basic example and then go through three additional plotting scenarios to how other instances where override.aes comes in handy. Table of Contents R packages Introducing override.aes Adding a guides() layer Using the guide argument in scale_*() Changing multiple aesthetic par...
Post a Comment
Read more

Zooming in on maps with sf and ggplot2

(This article was first published on r-bloggers – WZB Data Science Blog , and kindly contributed to R-bloggers) When working with geo-spatial data in R, I usually use the sf package for manipulating spatial data as Simple Features objects and ggplot2 with geom_sf for visualizing these data. One thing that comes up regularly is “zooming in” on a certain region of interest, i.e. displaying a certain map detail. There are several ways to do so. Three common options are: selecting only certain areas of interest from the spatial dataset (e.g. only certain countries / continent(s) / etc.) cropping the geometries in the spatial dataset using sf_crop() restricting the display window via coord_sf() I will show the advantages and disadvantages of these options and especially focus on how to zoom in on a certain point of interest at a specific “zoom level”. We will see how to calculate the coordinates of the display window or “bounding box” around this zoom point. Loading t...
Post a Comment
Read more