Mao Wang

Assistant Professor, Dept of Political Science, Soochow University (東吳大學)
Public HRM, #PeopleAnalytics #textanalysis, #rstats

[Mao Wang @maowang01]

🚨 New paper alert 🚨
A whole-of-nation approach to COVID-19: Taiwan’s National Epidemic Prevention Team (with @ChihWeiHsieh2 @bn330en @lawrencekkho) at @IPSR_Journal (https://t.co/hO92VHHmNh)

[Mao Wang @maowang01]

Submit your manuscripts on public admin, law, policy, & management to the Journal of Administrative Sciences (https://t.co/fySjQxCRSh, IAJAS) (under WoS ESCI review). I've been on the editorial board since 2024. Contact for queries. #IAJAS

[Mao Wang @maowang01]

If you are interested in education reforms in Taiwan, please take a look at this nice piece in the Journal of Asian Public Policy!

https://t.co/yF1uvMZ8sT

[Arthur Spirling @arthur_spirling]

nice piece covering an experiment on forking paths in text analysis. Given the same text data, and a hypothesis to test, many of 37 independent teams come to *exact opposite conclusion* about proposed relationship. I think this is v common!
https://t.co/OkiGFITZko

[Albert Meijer @albertmeijer]

From 2015 till 2019, we have been investigating #SmartCity governance for urban sustainability with a team of researchers from @FGVBrazil (Brazil), @StirUni (Scotland) and @UniUtrecht (Netherlands). This thread presents the outcomes from this research project. (1/10)

[Mao Wang @maowang01]

@chainsawriot Good to know. Thanks for explanation!

[Mao Wang @maowang01]

@chainsawriot Can you expand more on this?

[Chris Bail @chris_bail]

1/n How do computational social scientists land non-academic jobs? I asked this question to a panel of senior leaders in for-profit and non-profit companies on a wonderful webinar yesterday, and I’d like to share what I learned:

[Mao Wang @maowang01]

@GeorgeBert It’s green tea.

[Zev Ross @zevross]

I had the privilege of teaching a two-day workshop, Modern Geospatial Data Analysis with R, at the @rstudio conference with an amazing group of TAs and participants. I've made the slides available here: https://t.co/rSzPTt6VBk, #rstats, #rspatial, #gischat

[Mao Wang @maowang01]

@calvinmdewilde @rstatstweet NA_character_

[Max Kuhn @topepos]

All of the analysis R code for our Feature Engineering and Selection book is now on GitHub at https://t.co/f8shfphAEg

The book can be found at https://t.co/8Zwzqs4LcW

#rstats #DataScience #statistcs #machinelearning

[Mao Wang @maowang01]

@cbgoodman If you are using R, "facet_wrap" would be an option. https://t.co/YsVGQJgd68

[Rich Pauloo @RichPauloo]

What does an interpretable random forest (RF) 🌲🌳 #datavis look like? Out-of-the-box 📦RF in #rstats and #python3 computes variable importance over *all* trees, but how do we get there? Here's a RF of 300 trees, tree-by-tree, showing cumulative variable importance. #DataScience

[Christoph Molnar 🦋 christophmolnar.bsky.social @ChristophMolnar]

Some Limitations of Interpretable Machine Learning Methods

A thread featuring panda GIFs (2nd best animal after goats)
👇

[Mara Averick @dataandme]

🙌 From choosing charts ⇨ R examples and code…
"From data to Viz" 📊 @R_Graph_Gallery
https://t.co/EYGS1CRgt9 #rstats #dataviz

[Mara Averick @dataandme]

I often forget that this function exists, and I 🖤 it!
💥 "tidyr::separate_rows() FTW"
🖥 code in gif: https://t.co/FU11sce4Rm
📄 separate_rows() docs: https://t.co/VPCUNBMzsY
#rstats #tidyverse

[Christoph Molnar 🦋 christophmolnar.bsky.social @ChristophMolnar]

Researching interpretable machine learning can be demotivating. It‘s easy to dismiss interpretability as non-scientific, lacking definition.

A researcher approached me, feeling depressed because of this critique. Should we stop working on interpretability?

Thread 👇

[Journal of Management @Journal_of_Mgmt]

Why Abusive Supervision Impacts #Employee #OCB and CWB: A Meta-Analytic Review of Competing Mediating Mechanisms (Zhang, et al.) https://t.co/JnFBYQO2uG #AbusiveLeadership