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NYU PRIISM Center Profile
NYU PRIISM Center

@NYU_PRIISM

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Center for Practice and Research at the Intersection of Information, Society, and Methodology. Home of the #A3SR Masters program. Tweets by @daphnaharel.

New York, NY
Joined December 2018
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@NYU_PRIISM
NYU PRIISM Center
7 years
Welcome to the Center for Practice and Research at the Intersection of Information, Society, and Methodology at @nyuniversity. We're also the home of the Applied Statistics for Social Science Research #A3SR Masters program. Follow for #AppliedStats and general NYU happenings.
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@NYU_PRIISM
NYU PRIISM Center
4 months
Who Gets In? AI-generated essays in college admissions. Join us & @AustinVanLoon to learn about how GAI in college admission essays may reshape demographic makeup of admitted students & transform how merit is evaluated. Wed 5/7, 10 am ET (Hybrid) .RSVP:
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@grok
Grok
18 days
Join millions who have switched to Grok.
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@NYU_PRIISM
NYU PRIISM Center
5 months
Are All Items Created Equal? Uncovering Item-Level Heterogeneous Treatment Effects. Join us & Josh Gilbert to learn how to unmask hidden treatment effects within individual test items using Item Response Theory. 📅 Wed. 4/2 at 10 am ET (Zoom).RSVP ➡️
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@NYU_PRIISM
NYU PRIISM Center
6 months
Can AI-powered textbots improve survey interviews?Join us & Dr. Soubhik Barari to examine how they can enhance response quality and scalability, while considering challenges in bias and respondent experience. 📆 Wed. 3/5 at 10 am ET (Hybrid) .RSVP ➡️ 📷
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@NYU_PRIISM
NYU PRIISM Center
7 months
Want to make shorter surveys? Use better measures! . Join us & Dr. Alfonso Martinez (@AlfonsoMPsych) to learn how to construct adaptive assessments with items that allow for continuous (as opposed to discrete) responses. Wed. 2/12 at 10 am ET (Zoom).RSVP:
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@NYU_PRIISM
NYU PRIISM Center
10 months
Join us & Dr. Johann Gaebler (@jgaeb1) to learn how to test for racial discrimination using a hybrid approach of benchmark and outcome tests. 📅 Wed. 11/13 @ 10 am ET (Hybrid).RSVP ➡️
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@NYU_PRIISM
NYU PRIISM Center
10 months
Check out this research by @DaphnaHarel and @DepressdP.
@DaphnaHarel
Daphna Harel
10 months
Have you ever wondered if the mode of administration matters for depression screeners? Does it matter if it's administered face-to-face or on paper? Check this out:. @DepressdP @nyusteinhardt @NYU_PRIISM.
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@NYU_PRIISM
NYU PRIISM Center
10 months
Join us & Dr. Jules Wood (@quant_wood) this week to learn how to create high quality gender dysphoria and minority stress scales for trans and nonbinary adolescents. 📅Wed. 10/30 @ 10 am ET (Zoom). RSVP ➡️
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@NYU_PRIISM
NYU PRIISM Center
11 months
Susu Zhang joined us last week at our PRIISM seminar to show us how to incorporate behavioral and response process data into measurement models for item responses. Watch the recording ➡️
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@NYU_PRIISM
NYU PRIISM Center
11 months
11/11 More generally, it is also about how early releases of anonymised data can be used by researchers to try and help support the fight against diseases’ spread. Read the paper:
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journals.plos.org
Using publicly available data, this paper investigates the diffusion of COVID-19 across neighborhoods in two major cities, London and New York. We link neighborhood demographics to incidence, and we...
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@NYU_PRIISM
NYU PRIISM Center
11 months
10/11 So, this is a story of how improved coordination between key global hotspots would have helped inform health authorities as to what was coming and which communities were more likely to be affected. [. ].
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@NYU_PRIISM
NYU PRIISM Center
11 months
9/11 We identify eight distinct periods and build a narrative around which communities were most infected in some waves and not in others. [. ].
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@NYU_PRIISM
NYU PRIISM Center
11 months
8/11 Crucially, it was often the case that the waves passed through demographically similar communities with this same approximate time lag. [. ].
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@NYU_PRIISM
NYU PRIISM Center
11 months
7/11 better grasp how the virus spread over time. We quickly identified that successive Covid-19 waves hit London first and then NYC approximately 2 weeks later [. ].
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@NYU_PRIISM
NYU PRIISM Center
11 months
6/11 By using this information on how the virus spread differently in these demographics, we looked at areas that were quite ‘specialised’ in one or two of these demographics to [. ].
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@NYU_PRIISM
NYU PRIISM Center
11 months
5/11 Our ecological approach builds on previous research of @Vnafilyan @aliciacita @MariaGlymour who used individual patient data to identify different rates at which different demographic groups (essential workers, ethnic minority, high income, etc.) were contracting covid [. ].
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@NYU_PRIISM
NYU PRIISM Center
11 months
4/11 We make use of precise localised data (MSOAs and ZIP codes) to compare week after week what happened in the two great cities. [. ].
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@NYU_PRIISM
NYU PRIISM Center
11 months
3/11 This tells us that in future pandemics, the big cities of this world should prioritise cooperation and communication in order to anticipate which communities are affected. [. ].
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@NYU_PRIISM
NYU PRIISM Center
11 months
2/11 In the same week that the Covid-19 enquiry has reminded us of this dark period in our lives, @MarcScott1515 @augustindecoulo's pandemic paper has been published! [. ].
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@NYU_PRIISM
NYU PRIISM Center
11 months
📢PUBLICATION ALERT: “A TALE OF 2 CITIES: LONDON and NEW YORK during COVID-19” by @MarcScott1515 (NYU PRIISM co-director) & @augustindecoulo (Kings College London). 1/11 Timely news! Read more in this 🧵. Read the full paper: @NYU_ASH @DaphnaHarel.
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journals.plos.org
Using publicly available data, this paper investigates the diffusion of COVID-19 across neighborhoods in two major cities, London and New York. We link neighborhood demographics to incidence, and we...
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@NYU_PRIISM
NYU PRIISM Center
11 months
Join us and @yuqi_gu this week to learn about an alternative to Latent Class Analysis, the Grade of Membership model and its estimation with multivariate categorical data. 📅 Wed. 10/9 @ 10 am ET (Hybrid). RSVP ➡️
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