Tessera

Meng Ye

@mengye.bsky.social

https://yemeng-emma.github.io/ | Nonprofit Researcher, PhD Candidate in Public Policy at Georgia State University, lawyer enthusiastic about stats, Editorial Manager @ijpa2022.bsky.social

66 Posts167 Follower 105 Folgt

Andrew Heiss @andrew.heiss.phd · 4w ago

My latest attempt at an AI/LLM policy in my intro to social science stats class. Basically two rules: 1. Everything human-facing must be human-generated 2. You are responsible for understanding, verifying, and citing everything an LLM generates quantf26.classes.andrewheiss.com/syllabus.htm...

Generative AI and LLMs
In this class, I have two general rules regarding LLMs:

Everything human-facing must be human-generated.
You are responsible for understanding, verifying, and citing everything an LLM generates.
I’ll explain what these mean below, but first, an important warning!

LLMs and learning
Phew, I can talk about the relationship between learning and LLMs for hours (see this for a more formal explanation of my thinking). LLMs and generative AI can be useful for statistical programming, but only when you already know what you are doing. They can be dangerous and counterproductive for beginners.

Additionally, using LLMs and generative AI to write does not lead to deeper learning. The point of writing is to help crystalize and organize your thinking. Pasting LLM-generated words into an assignment to make it look like you read and understood the content will not help you learn. Pasting LLM-generated code into an assignment and hoping that it works will not help you learn.

Rule 1: Everything human-facing must be human-generated
Generative AI tools like Gemini, ChatGPT, and Claude can be helpful for generating ideas or topics for your assignments and can even help you find existing research about topics you’re interested in. They are useful for debugging and troubleshooting code.

These uses are permitted in this course.

If you want to use LLM tools to document your code, clean up your notes, look up error messages, search for research related to your topic, and so on, cool. Do it. That’s fine. It’s unavoidable nowadays anyway, since every R-related Google search will give you a Gemini-generated answer at the top with mostly working R code.

Any writing and revisions, however, must be your own. You may not use AI tools to write any of the text you submit to me. AI text adds nothing to my understanding. I have no interest in engaging with it at all. There is nothing more disheartening for me than spending my time grading something that ChatGPT spat out in 10 seconds. I want to see good engagement with the readings. I want to see your thinking process. I want to see you make connections between the readings. I want to see your personal insights. I don’t want to see a bunch of words that look like a human wrote them. That’s not useful for future-you. That’s not useful for me. That’s a waste of time.

Thus, anything human-facing (i.e. not stuff done just for yourself, like your own personal notes, research, etc.) must be human-generated (i.e. written by you). You may not use AI tools to write any portion of your assignments. Using AI tools in this way, or failing to disclose the use of AI tools, will be treated as a case of plagiarism and referred to the Honor Council.

Rule 2: You are responsible for understanding, verifying, and citing everything an LLM generates
These tools are really good at working with code, but again, only if you know what you’re doing. Without guidance and expertise, LLMs love making lots of extraneous, convoluted, and weird code by default. The code ostensibly works, but it’s often strange and unnecessary and uses uncommon syntax and packages.

If you use LLMs for help with code, you must understand and verify what’s going on with your code and you must cite where it came from.

This means that you need to know what each line is doing. If the LLM uses a function or gives you an argument that you don’t understand or haven’t seen before, figure out why and figure out if it’s necessary. Look at the documentation for the function. Search Google for other examples. Ask the LLM about it, and then add comments to the code explaining what’s going on.

The citation doesn’t need to be anything formal (i.e. don’t worry about Chicago or APA guidelines)—it just needs to (1) say which LLM you used, and (2) mention what you asked the LLM.

You should do this by using code comments—inside your code chunk, add a # to the beginning of a line so that it’s treated as a comment (or text) instead of actual code.

Here’s an example of what this can look like:

Here’s an example of what this can look like:

# This calculates the average GDP per capita in each region in the dataset,
# for all countries after 2015. I couldn't remember how to use group_by() and
# summarise() together, so I asked Gemini:
#
# "I'm using tidyverse. I have a dataset named my_dataset and I'm filtering it
# to include all countries after 2015. I want to calculate region averages with
# group_by and summarise but cannot remember the syntax"

my_dataset |>
filter(year > 2015) |>
group_by(region) |>
# Gemini here included na.rm = TRUE, which omits any rows with missing values
# when calculating the average. That's okay and necessary here because
# South Sudan is missing some years of GDP data
summarise(avg_gdp = mean(gdp_per_cap, na.rm = TRUE))

# Gemini also included an extra ungroup() function at the end, but I don't need
# that because there are no groups leftover after summarising here

↑ That’s a lot of extra comments and you won’t always see stuff like that in real life code, but I want to see it here, and future-you will want to see it too.

International Journal of Public Administration @ijpa2022.bsky.social · 3mo ago

📢 We're pleased to welcome Dr. Sanghee Park as a new Associate Editor of IJPA. Dr. Park is an Associate Professor at Indiana University Indianapolis, specializing in public service delivery, representative bureaucracy, administrative reform, and AI in public management. @mengye.bsky.social

Meng Ye @mengye.bsky.social · 3mo ago

We will stop receiving applications at the end of day on 6/15 Eastern time. Thanks!

Meng Ye@mengye.bsky.social · 3mo ago

We are recruiting a new Social Media Editor @ijpa2022.bsky.social . Please share with those who might be interested! Feel free to reach out to me with any questions.

Meng Ye @mengye.bsky.social · 3mo ago

We are recruiting a new Social Media Editor @ijpa2022.bsky.social . Please share with those who might be interested! Feel free to reach out to me with any questions.

International Journal of Public Administration@ijpa2022.bsky.social · 3mo ago

📢 We're Recruiting: Social Media Editor for IJPA. IJPA is seeking a Social Media Editor to manage and grow our presence on X, LinkedIn, and Bluesky. To apply, please send your CV to our Editorial Manager. MengYe (mye2@gsu.edu).

University College Dublin @ucddublin.bsky.social · 6mo ago

💙💛 Lá Fhéile Pádraig sona daoibh!

Andrew Heiss @andrew.heiss.phd · 6mo ago

This video is *bananas*—you can estimate π from a ton of random coin flips bc the expected prop of heads/total after 50%+ of the flips are heads = π/4 Here's an #rstats version I made of Matt's Python code in the video gist.github.com/andrewheiss/... With 10 million random flips I got 3.131381

Calculating pi from coin flips (without randomness)

YouTube video by Stand-up Maths

youtube.com

Andrew Heiss @andrew.heiss.phd · 6mo ago

Finally got around to adding fancy links to my different interactive teaching websites for showing things like p-hacking, p-value interpretations, and (still-in-draft-form) DAGs at www.andrewheiss.com/teaching/ #rstats #QuartoPub #statsky

Interactive resources

With the power of OJS and Quarto, I’ve created a few interactive websites to illustrate trickier statistical concepts when teaching. Check them out (and adapt and copy as much as you want!)

With links to three different websites (accessible at the main link in the post)

International Journal of Public Administration @ijpa2022.bsky.social · 7mo ago

📣 IJPA Award Highlight Congratulations to Mr. Nasir Uddin on receiving the #ASPA International Chapter Best Student Paper Award for his IJPA article “Impact of Crime and Insecurity on Citizen Trust in Public Institutions: Evidence from Bangladesh” (2025). tandfonline.com/doi/full/10....

Anton Strezhnev @astrezh.bsky.social · 8mo ago

The Spring 2026 course website for my grad causal inference class is up and running. Was inspired by @andrew.heiss.phd and @mattblackwell.bsky.social to move my materials over to a standalone site and use as little of Canvas as possible. www.antonstrezhnev.com/ps813/

PoliSci 813

antonstrezhnev.com

Andrew Heiss @andrew.heiss.phd · 8mo ago

Finally got around to removing broom::tidy(), broom::glance(), and broom::augment() from my class examples in favor of parameters::model_parameters(), performance::model_performance() and marginaleffects::predictions() because they're *so nice* for teaching! #rstats #easystats

International Journal of Public Administration @ijpa2022.bsky.social · 8mo ago

🌟 Thank you to our reviewers! As one of #IJPA’s Best Reviewers of 2025, we sincerely thank Ju Won Park from the University of Utah for the valuable contributions to the journal. Check out Ju Won Park’s profile here 📷 scholar.google.com/citations?hl...

International Journal of Public Administration @ijpa2022.bsky.social · 8mo ago

🌟 Thank you to our reviewers! As one of #IJPA’s Best Reviewers of 2025, we sincerely thank Frank Ohemeng from Concordia University for the valuable contributions to the journal. Check out Frank Ohemeng’s profile here 🙌https://scholar.google.com/citations?hl=zh-CN&user=KoHX16oAAAAJ

Andrew Heiss @andrew.heiss.phd · 10mo ago

I don't know how I've missed it because it's *right on the documentation home page*, but if you use {glue} for nice string interpolation in #rstats and you have {stringr} loaded (likely through the tidyverse), you can use str_glue() instead of glue::glue() or loading library(glue) glue.tidyverse.org

$Geordi LaForge rejecting this code library(tidyverse) penguins |> mutate( nice = glue::glue( "{species} on {island} Island ({body_mass} g)" ) ) |> select(nice) #> nice #> 1 Adelie on Torgersen Island (3750 g) #> 2 Adelie on Torgersen Island (3800 g) #> 3 Adelie on Torgersen Island (3250 g) Geordi LaForge approving this code library(tidyverse) penguins |> mutate( nice = str_glue( "{species} on {island} Island ({body_mass} g)" ) ) |> select(nice) #> nice #> 1 Adelie on Torgersen Island (3750 g) #> 2 Adelie on Torgersen Island (3800 g) #> 3 Adelie on Torgersen Island (3250 g)$

Hadley Wickham @hadley.nz · 10mo ago

Do you teach #rstats? Do your students complain about how lame and old-fashioned dplyr is? Don't worry: I have the solution for you: github.com/hadley/genzp.... genzplyr is dplyr, but bussin fr fr no cap.

GitHub - hadley/genzplyr: dplyr but make it bussin fr fr no cap

dplyr but make it bussin fr fr no cap. Contribute to hadley/genzplyr development by creating an account on GitHub.

github.com

Georgia State Public Management and Policy Dept.@gsupmap.bsky.social · 10mo ago

The AYSPS is excited to promote our doctoral students who are currently on the academic job market. Check out all their amazing research and hard work put in at Georgia State! 💙

Andrew Heiss @andrew.heiss.phd · 10mo ago

The {sf} package continues to blow my mind with how easy it is to make maps with #rstats and ggplot (code for that map here gist.github.com/andrewheiss/...)

Map showing points in Utah, North Carolina, Georgia, Jordan, Italy, and Egypt, with great circle paths plotted between them

Nathan Yau @flowingdata.com · 11mo ago

Halloween logicals, still the best 10/31 venn

Venn diagrams as jack-o-laterns showing trick/treat logicals: OR, AND, XOR, NOR, NAND, and XNOR

Jess Calarco @jessicacalarco.com · 11mo ago

We have progressed from data collection to data analysis.

My 11-year-old sitting with her pile of Halloween candy, sorting it into a bar graph

International Journal of Public Administration @ijpa2022.bsky.social · 11mo ago

📚 The IJPA Editorial Team had a great time at the ABFM Conference in Atlanta! 🎉 Grateful for the inspiring discussions and connections with colleagues across the public administration community. 🤝 #ABFM2025 #IJPA

Carl T. Bergstrom @carlbergstrom.com · 11mo ago

This morning my ChatGPT quota was inexplicably exhausted. It took a while but I pieced it together. Voice mode somehow got activated when I went to bed. The bot then engaged in a 10 hour conversation with my snoring dog, answering questions the pup wasn’t asking and praising him for his insight.

Meng Ye @mengye.bsky.social · last yr.

Congratulations! The article has also been selected by the editors @ijpa2022.bsky.social to have free access until the end of October.

Christina Barsky@csbarsky.bsky.social · last yr.

It's been quite some time in the making, but I'm thrilled that my latest article “Are Voters Satisfied? Exploring Perceptions of the Electoral Process in Montana" has hit the (digital) presses at @ijpa2022.bsky.social Check it out ⬇️ #election #publicadmin www.tandfonline.com/eprint/SDATH...

International Journal of Public Administration @ijpa2022.bsky.social · last yr.

🎉 Great news from Google Scholar Metrics 2025! IJPA has climbed from #8 to #7 among all PA journals globally! 🔝📈Proud to see IJPA continue its leading role in the field. See the full rankings here 👉 scholar.google.com/citations?vi... #PublicAdministration #ScholarMetrics

Andrew Heiss @andrew.heiss.phd · last yr.

I just discovered a new super easy way to constrain annotations to specific facets in {ggplot2} with at_panel() from @teunbrand.bsky.social's {ggh4x} teunbrand.github.io/ggh4x/refere... #rstats #dataviz

A plot with an annotation in three facets

library(tidyverse)
library(palmerpenguins)
penguins <- palmerpenguins::penguins |> drop_na(sex)

ggplot(penguins, aes(x = bill_length_mm, y = body_mass_g, color = species)) +
geom_point() +
guides(color = "none") +
facet_wrap(vars(species)) +
labs(title = "Labels in every facet :(") +
annotate(geom = "label", x = I(0.5), y = I(0.25), label = "big penguins!")

library(ggh4x)
ggplot(penguins, aes(x = bill_length_mm, y = body_mass_g, color = species)) +
geom_point() +
guides(color = "none") +
facet_wrap(vars(species)) +
labs(title = "Label in just one facet!") +
at_panel(
annotate(geom = "label", x = I(0.5), y = I(0.25), label = "big penguins!"),
species == "Gentoo"
)

Andrew Heiss @andrew.heiss.phd · last yr.

Newly published at NVSQ with @sch-ir.bsky.social and @marcdotson.com! A neat conjoint experiment (analyzed w/fancy multinomial Bayesian models) measuring the effect of anti-NGO crackdown on donor behavior! Prepreint+code: www.andrewheiss.com/research/art... Official version: doi.org/10.1177/0899...

Navigating Hostility: The Effect of Nonprofit Transparency and Accountability on Donor Preferences in the Face of Shrinking Civic Space

Donors unhappy
when states restrict NGOs—
’cept when transparent.

Suparna Chaudhry, Marc Dotson, and Andrew Heiss, “Navigating Hostility: The Effect of Nonprofit Transparency and Accountability on Donor Preferences in the Face of Shrinking Civic Space,” Nonprofit and Voluntary Sector Quarterly (2025), doi: 10.1177/08997640251348654

Navigating Hostility: The Effect of Nonprofit Transparency and Accountability on Donor Preferences in the Face of Shrinking Civic Space

Suparna Chaudhry, Marc Dotson, and Andrew Heiss

Abstract
Governments across the world have increasingly used laws to restrict the work of nonprofits, which has led to a reduction in public or official foreign aid directed towards these groups. Many international nonprofits, in response, have turned to individual donors to offset the loss of traditional funding. What are individual donors’ preferences regarding donating to legally besieged nonprofits abroad? We conducted a conjoint experiment on a nationally representative sample of likely donors in the US and found that learning about host government criticism and legal restrictions on nonprofits decreases individuals’ preferences to donate to them. However, organizational features such as financial transparency and accountability can protect against this dampening effect. Our results have important implications both for understanding private international philanthropy and how nonprofits can better frame their fundraising appeals at a time when they are facing restrictive civic spaces and hostile governments abroad.

Estimated marginal means and average marginal component effects for conjoint experiment results

Estimated marginal means and average marginal component effects for the interaction between transparency and crackdown

AOM Public and Nonprofit Division (PNP)@aompnp.bsky.social · last yr.

The PNP Division is pleased to announce the election results and 2025-2026 Executive Committee members. Congratulations to all and thank you to each candidate who ran for a position and thanks to everyone for voting! (@marlenewalk.bsky.social, @professajay.bsky.social , @stevebholt.bsky.social)

2025-26 PNP Division Election Results

Division Program Chair: **Emily Nwakpuda**, University of Texas, Arlington

Fundraising Chair: **Dan Heist**, Brigham Young University

Awards Chair: **Marlene Walk**, University of Freiburg

Chair, Best Article Award Committee: **Jason Coupet**, Georgia State University

Chair, Best Book Award Committee: **Stephen B. Holt**, University at Albany, SUNY

2025-26 PNP Division Election Results

Chair, Keith G. Provan Award Committee: **Donna Sedgwick**, Virginia Tech

Chair, Best Dissertation Award Committee: **Alexander Kroll**, Florida International University

Chair, Best International Conference Paper Award Committee: **Rebecca Tekula**, Pace University

Membership Committee: **Nicola Capolupo**, Università San Raffaele di Roma

International Journal of Public Administration @ijpa2022.bsky.social · last yr.

🎉 So glad we could all come together at IJPA’s Happy Hours for Asian Stories at #PMRC2025! Huge thanks to everyone who stopped by — great conversations, new ideas, and warm connections. @mengye.bsky.social @sethjmeyer.bsky.social

International Journal of Public Administration @ijpa2022.bsky.social · last yr.

🎉 Join IJPA’s Happy Hours for Asian Stories at #PMRC2025! 🗓️ June 26, 15:30–17:00 📍 Room 204, Building 57, SNU How can we bring Asian voices to the global stage? 🌏 Scan the code & sign up now! @pmra-1991.bsky.social @drspark0108.bsky.social @mengye.bsky.social @sethjmeyer.bsky.social

Jocelyn Leitzinger @jocelynl.bsky.social · last yr.

This past semester was the most stressful of my academic career. I had 180 students and about half cheated at some point in the semester They submit weekly reflections where the questions are opinion-based, graded only on effort, don't care about grammar SO MANY students submitted ChatGPT essays

Jason Koebler@jasonkoebler.bsky.social · last yr.

I talked to 15 teachers/professors about how AI and ChatGPT is ruining their lives: www.404media.co/teachers-are...

Bill Resh @billresh.bsky.social · last yr.

Some personal/professional news... news.gsu.edu/2025/04/25/a...

Andrew Young School of Policy Studies Names William G. Resh Department Chair

William G. Resh will bring the Civic Leadership Education and Research (CLEAR) Initiative, integrating experiential learning, student research and community-engaged research, with him to Georgia State...

news.gsu.edu

Andrew Heiss @andrew.heiss.phd · last yr.

all this work just to get add some pretentious/fun little quotes

Screenshot of a draft PDF titled "Clarifying Correlation and Causation: A Guide to Modern Quantitative Causal Inference in Nonprofit Studies" with these two epigraphs:

Scientia et potentia humana in idem coincidunt, quia ignoratio causae destituit effectum. *(Human knowledge and human power meet in one; for where the cause is not known the effect cannot be produced.)*
—Francis Bacon, *Novum Organum*, part I, aphorism III

Don't let us forget that the causes of human actions are usually immeasurably more complex and varied than our subsequent explanations of them.
—Fyodor Dostoevsky, *The Idiot*, part IV, chapter 2

Andrew Heiss@andrew.heiss.phd · last yr.

New #QuartoPub extension! Have you ever wanted to include epigraphs in your documents without needing to adjust CSS or LaTeX or Typst settings? Now you can the fancy epigraph shortcode: github.com/andrewheiss/... It works with HTML and PDF only—in other formats it appears as a regular blockquote

This text:

{{< epigraph "Do or do not. There is no try." source="Yoda" >}}

…will appear like this:

Right-aligned blockquote with attribution