MIIS META Lab

07/10/2025

At least 1,277 cases have been reported as of Monday, surpassing the previous record set in 2019, despite 2025 being only halfway over.

12/12/2020

Thank you to our graduating GRAs for all the hard work they’ve put in since starting with us at the METAlab. We wish them all the best as they move forward in their careers, and remind them that even after commencement tomorrow they will continue to be members of the METAlab family.

12/12/2020

‘Tis the season for calling and celebrating with family and friends. Make sure you do so safely with these tips and tricks from our METAlab GRAs.

12/12/2020

Remember our Insider Interviews from Spring 2020? We have another one to share with you, this time with Salome Pachkoria, MAIPD/ITED ‘20! See the following slides for information on the work she did with the METAlab, what she’s been up to since, and how her work with us has helped her burgeoning career.

12/10/2020

Ever wondered how the METAlab started? Want to know what we’ve been up to since?

Here’s a snapshot of our META (lab) story.

11/20/2020

Ever wondered how you can apply data analysis tools to different fields? Here are 5 real-world examples of tools the METALab uses regularly to satisfy your curiosity.

11/19/2020

The METALab is now on Instagram! We will continue to share information on what we’re up to, as well as different research and analysis tools, tips, and terminology. If you're also on IG please follow us, and invite your friends!

https://www.instagram.com/metalab_miis/

06/22/2020

If focusing on your to-do list means you aren’t focusing on your employees, that’s a problem.

06/17/2020

https://dominicroye.github.io/en/2020/a-very-short-introduction-to-tidyverse/

The ``tidyverse`` universe of packages, a collection of packages specially focused on data science, marked a milestone in R programming. In this post I am going to summarize very briefly the most essential to start in this world. The tidyverse grammar follows a common structure in all functions. The...

06/16/2020

https://thomasadventure.blog/posts/how-does-the-pipe-operator-actually-work/

I think it’s fair to say that the pipe operator %>% from the {magrittr} package—made famous by its use in {dplyr}—revolutionized R. Using %>% you can chain together multiple functions to create pipelines for your data. That way you can write highly expressive code and mitigate the need to defi...

06/11/2020

confidence_interval