Bryce Corrigan

[Bryce Corrigan @brycecorrigan]

WI legislators intentionally broke electoral administration. Includes many research references for those teaching electoral (mal)practice. https://t.co/hGDi5p0Mu4

[Ari Berman @AriBerman]

Wisconsin’s voter ID law blocked tens of thousands from polls & tipped state to Trump. My cover story @motherjones https://t.co/gkWVv321JN

[SNF Agora Institute at Johns Hopkins University @SNFAgora]

Data Science and Democracy Workshop students presented their research in a poster presentation this morning. Research topics included gerrymandering, assessing transit equity in Baltimore, predicting COVID-19 uptake, and measuring civic health in youth and adults.
@brycecorrigan

[Adam Seth Levine @adamsethlevine]

Really excited & proud to be part of “The Future of Science in America” by @AspenInstitute @leapsmag @good ... here’s a 🧵 abt some of the other amazing articles in the magazine https://t.co/v7hwScSEOz

[Adam Seth Levine @adamsethlevine]

Especially positive flying story: Man on our 15-hour Singapore-SFO flight violently ill after take-off. Dr onboard stabilizes him & saves his life!! We divert to HKG b4 going to SFO. @united crew (UA28, 13Jan) kept us informed & great attentive service for entire 19 hr journey!

[Nick HK @nickchk]

I'm excited to show off something I've been working on for a few months now: the materials from a new class that I pinpoints a very different, and I think very promising way of teaching undergrad econometrics (thread)

[Bryce Corrigan @brycecorrigan]

@cdsamii @juli_schuess @analisereal @PHuenermund Illustrates bias and asymptotics both! Equivalent to do arrow Y(t) —> Y(t+1), matching more closely how the model is usually introduced?

[Gretchen Ritter @rittergaus]

Want to get a politician to listen to science? Here’s some advice https://t.co/vuU0hWyO8H

[Bryce Corrigan @brycecorrigan]

@cdsamii Worked fine for some of my students last fall. See https://t.co/qnhCF6QhyM

[Bryce Corrigan @brycecorrigan]

@cdsamii markstat

[Michael McDonald @ElectProject]

New York has perpetually been at the bottom of the barrel of turnout rates. Now we'll see what the effect of passing these reforms can do to increase voter participation https://t.co/89ftl0uWiZ

[Public Citizen @Public_Citizen]

BREAKING: Gov. Cuomo just signed a slew of voting rights bills into law that include:

-Early voting

-Pre-registration for 16 & 17 yr olds

-Same-day reg

-No excuse absentee voting

-Combining state/fed primaries

New York was trailing the country on voting rights. Not anymore.

[Bryce Corrigan @brycecorrigan]

@AWxNYC 😅 123 quintillion that is

[Julian Schuessler @julianschuess]

Some reflections on the Causal Graphs course (https://t.co/mYXsaACEav) that I taught in the summer term. It was an incredible exciting and insightful experience. (Thread) #causalinference

[Eric McGhee @hezaproject]

This is a good piece about how the toughest gerrymanders largely held this election. It basically presents @GSWarrington's "declination" measure in visual form. He should get some credit! https://t.co/wkyL5dILcy

[Bryce Corrigan @brycecorrigan]

@SimonDeDeo @wylieprof Where are you seeing those reports about Mathematica? Mathematica 10/11 are 32-bit apps, so 10.15 will force an upgrade https://t.co/kuhhlV4u8M

[Judea Pearl @yudapearl]

A recent paper by Steiner etal https://t.co/R1KopHMdlf
sheds new light on how RCT, IV, RD and other model-free "designs" can be understood and unified from a graphical model perspective. #Bookofwhy #causalinference . A must for quasi-experimentalists and potetial-outcomists

[Durba Ghosh @HistorianDurba]

Check out my brilliant colleague @MostafaMinawi @CornellHistory @CornellNES @CornellCAS whose book, "The Ottoman Scramble for Africa" is on the list of best Middle Eastern books of all time @bookauthority: https://t.co/yLZG0nxGsa

[Judea Pearl @yudapearl]

This paper just came to my attention (and I can't forgive myself for not seeing it earlier) https://t.co/BHbKcaWotl
A friendly, comprehensive and unifying (no hangups) roadmap to epidemiological methodology. Highly recommended. #Bookofwhy
#causalinference @EpiEllie @miquelporta

[Judea Pearl @yudapearl]

For data analysts who wish to understand causes and counterfactuals from linear regression viewpoint, I recommend this tutorial: https://t.co/gNBNP7HuWZ. It illuminates key concepts in #Bookofwhy by the light of linear models: effects, mediation, robustness and generalization.

[Bryce Corrigan @brycecorrigan]

Unsupervised learning talk that makes accessible a bunch of important mathematical, statistical, and computational insights

[John Williamson @jhnhw]

@PLT_cheater @sigfpe @leland_mcinnes That is the magic of UMAP :) I'd watch @leland_mcinnes's talk https://t.co/qqsypRVter if you want to know more.

[Picard Tips @PicardTips]

Picard management tip: Get excited about your work. Your excitement is contagious.