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Bluesky · Hashtag

#policysky

posts · 30d

users

posts / day

3.3

posts / user

+ 80% vs last week

#policysky is an active hashtag on Bluesky. In the last 30 days, 7 people shared 23 posts with it — around 1 a day. Activity is up 80% versus the previous week, peaking on Aug 25 with 2 posts.

#policysky posts per day (last 30 days)

Related tags

Tags most often used together with #policysky.

#polisky 16 #MedSky 15 #EpiSky 14 #pulmsky 14 #PedSky 14 #neuroskyence 9

Posts with #policysky

Aaron Sojourner

@aaronsojourner.org

over 1 year ago

The Council of Professional Associations on Federal Statistics, a great org, asks individuals & orgs to sign their letter requesting Congress act to restore data that has been removed & ensure a similar purge does not reoccur. #EconSky #PolicySky #sociology #PoliSky docs.google.com/forms/d/e….

5 149 221

Dr. Sven-Eric Jordt #TobRegSky

@sejordt.bsky.social

over 1 year ago

#TobRegSky #PedSky #MedSky #EpiSky #addictionsci #policysky #polisky #PCCM 🧪🛟@cdelawalla.bsky.social #standupforscience2025 #scienceforall #sciencenotsilence Petition to Reverse the NIH Indirect Cost Cap initiated by Tom Maniatis. Please share far and wide. chng.it/mD9sLCZxXm

chng.it

This campaign needs you now

Petition to Reverse the NIH Indirect Cost Cap (NOT-OD-25-068)

5 72 200

Don Moynihan

@donmoyn.bsky.social

over 1 year ago

New, at Can We Still Govern? The hollow state is the network of state & local, private & non-profit providers that deliver public services. Brint Milward warns that federal cuts will cascade through this network, causing services to collapse. #policysky donmoynihan.substack.com/….

donmoynihan.substack.com

Health Care and The Hollow State

How Federal Cuts Will Cascade Through State and Local Services

5 76 186

Richard M. Carpiano, PhD, MPH

@rmcarpiano.medsky.social

almost 3 years ago

This is bad news. Joan Donovan does insightful work... Misinformation expert says she was fired by Harvard under Meta pressure. #policysky #sociology #polisky #ethics

www.theguardian.com

Misinformation expert says she was fired by Harvard under Meta pressure

Joan Donovan says funding was cut off for criticizing Meta when university was receiving $500m from Mark Zuckerberg’s charity

5 86 175

Andrew Heiss

@andrew.heiss.phd

over 1 year ago

New preprint! A general overview of stats in public policy research with this (oversimplified but still helpful) separation of methods into description, explanation, and prediction #policysky HTML/PDF: stats.andrewheiss.com/sno… SocArXiv: doi.org/10.31235/osf...

This essay provides an overview of statistical methods in public policy, focused primarily on the United States. I trace the historical development of quantitative approaches in policy research, from early ad hoc applications through the 19th and early 20th centuries, to the full institutionalization of statistical analysis in federal, state, local, and nonprofit agencies by the late 20th century. I then outline three core methodological approaches to policy-centered statistical research across social science disciplines: description, explanation, and prediction, framing each in terms of the focus of the analysis. In descriptive work, researchers explore what exists and examine any variable of interest to understand their different distributions and relationships. In explanatory work, researchers ask why does it exist and how can it be influenced. The focus of the analysis is on explanatory variables (X) to either (1) accurately estimate their relationship with an outcome variable (Y), or (2) causally attribute the effect of specific explanatory variables on outcomes. In predictive work, researchers as what will happen next and focus on the outcome variable (Y) and on generating accurate forecasts, classifications, and predictions from new data. For each approach, I examine key techniques, their applications in policy contexts, and important methodological considerations. I then consider critical perspectives on quantitative policy analysis framed around issues related to a three-part “data imperative” where governments are driven to count, gather, and learn from data. Each of these imperatives entail substantial issues related to privacy, accountability, democratic participation, and epistemic inequalities—issues at odds with public sector values of transparency and openness. I conclude by identifying some emerging trends in public sector-focused data science, inclusive ethical guidelines, open research practices, and future directions for the field.

Description Explanation Prediction
General question What exists? Why does it exist? How can it be influenced? What will happen next?
Focus of analysis Focus is on any variable—understanding different variables and their distributions and relationships Focus is on X —understanding the relationship between X and Y, often with an emphasis on causality Focus is on Y —forecasting or estimating the value of Y based on X, often without concern for causal mechanisms
Names for variable of interest — Explanatory variable
Independent variable
Predictor variable
Covariate Outcome variable
Dependent variable
Response variable
Goal of analysis Summarize and explore data to identify patterns, trends, and relationships Estimation: Test hypotheses or theories and make inferences about the relationship between one or more X variables and Y

Causal attribution: A special form of estimating—make inferences about the causal relationship between a single X of interest and Y through credible causal assumptions and identification strategies Generate accurate predictions; maximize the amount of explainable variation in Y while minimizing prediction error
Evaluation criteria — Confidence/credible intervals, coefficient significance, effect sizes, and theoretical consistency Metrics like root mean square error (RMSE) and R^2; out-of-sample performance
Typical approaches Univariate summary statistics like the mean, median, variance, and standard deviation; multivariate summary statistics like correlations and cross-tabulations t-tests, proportion tests, multivariate regression models; for causal attribution, careful identification through experiments, quasi-experiments, and other methods with observational data Multivariate regression models; more complex black-box approaches like machine learning and ensemble models

Table of contents
Introduction
Brief history of statistics in public policy
Core methodological approaches
Description
Explanation
Prediction
The pitfalls of counting, gathering, and learning from public data
Future directions
References

4 28 151

Dr. Sven-Eric Jordt #TobRegSky

@sejordt.bsky.social

over 1 year ago

#MedSky #EpiSky #addictionsci #policysky #polisky🧪🛟 And the brain drain begins: President of the German Max-Planck-Society states that applications from the US for science group leader positions have increased. Society will specifically target leading US researchers. www.spiegel.de/wissenschaft...

www.spiegel.de

(S+) Deutschland und Donald Trump: Max-Planck-Gesellschaft wirbt um US-Spitzenforscher

Ist Deutschland am Ende Nutznießer von Trumps Feldzug gegen die Wissenschaft? Die Max-Planck-Gesellschaft meldet viel mehr Bewerbungen aus den USA als früher. Präsident Patrick Cramer will dort geziel...

5 53 139

Dr. Sven-Eric Jordt #TobRegSky

@sejordt.bsky.social

about 24 hours ago

🧪 #TobRegSky #PedSky #MedSky #pulmsky #EpiSky #addictionsci #policysky #polisky #neuroskyence 🛟🫁 The next generation of American scientists is fading away

giftarticle.ft.com

The next generation of American scientists is fading away

While the Trump administration racks up ‘wins’ in its anti-woke crusade, the US is eroding its talent pipeline

1 8 13

Dr. Sven-Eric Jordt #TobRegSky

@sejordt.bsky.social

over 1 year ago

#TobRegSky #PedSky #MedSky #EpiSky #addictionsci #policysky #polisky #academicsky #neuroskyence #painresearch #PCCM 🧪🛟 At Duke, research on cancer cures is coming to a hold. Universities are facing big cuts to research funding. At Duke, it’s a time for ‘damage control’ apnews.com/article/trum...

apnews.com

Universities are facing big cuts to research funding. At Duke, it's a time for 'damage control'

Facing the potential loss of hundreds of millions of dollars in federal funding, Duke University is preparing for the worst.

8 40 127

Jenn Dowd

@drjenndowd.bsky.social

about 1 year ago

Relieved to finally see some highlighting of the empirical flaws of recent COVID revisionist takes and an articulation of how dangerous these messages actually are. #episky #medsky #publichealth #covid #policysky

The Atlantic @theatlantic.com

COVID revisionists see the public-health response to the pandemic as a failure. But they fail to get the full picture—and that might leave us even less prepared for the next pandemic, Rogé Karma argues.

bit.ly

4 27 103

Aaron Sojourner

@aaronsojourner.org

over 1 year ago

#EconSky #PolicySky

APDU @apduorg.bsky.social

NEW: Census Bureau working papers on poverty measurement--research the public paid for and has a right to access--have been removed. Example analysis of "Alternative School Lunch Valuation in the 2022 Supplemental Poverty Measure" is missing www.census.gov/content/dam/...

www.census.gov

4 47 97

Dr. Sven-Eric Jordt #TobRegSky

@sejordt.bsky.social

7 months ago

#PedSky #MedSky #EpiSky #policysky #polisky 🛟 🫁 @ameracadpeds.bsky.social leaders in @usatoday.com "All children held in immigration detention should be immediately released, and these facilities should be permanently shuttered."