Lessons from the Lockdown: New Mental Health Study Looks Back

A year ago, a rise in COVID-19 cases prompted the city of Shanghai to enter a city-wide lockdown, affecting 24 million residents. The lockdown, which lasted more than 60 days for most residents, had a deep economic impact, disrupting food distribution, and leading to anxiety among many of those affected. Such an unprecedented public health situation also offered researchers a unique opportunity to assess the broad mental health impact of a large-scale public health emergency.

Faculty Spotlight: Yves Le Jan on Writing About Randomness

Like everyone else, when Yves Le Jan steps outside, he notices the weather. Unlike everyone else, the renowned French mathematician may then proceed to ponder the random evolution of events that led to clear skies or a dappling of cirrus clouds. 

Le Jan, a visiting professor of mathematics at NYU Shanghai, has a long-standing fascination with “Markov processes” -- any random evolution, such as the fluctuation of exchange rates, in which the future depends on the present state, in contrast with sequences of independent, random results like a dice-roll. 

AI Helps Uncover Long-Term Effects of Antidepressants

 

When NYU Shanghai Assistant Professor of Information Systems and Business Analytics Bruno Abrahao began studying artificial intelligence (AI), he never envisioned that his work might shape the world of psychiatric medicine.

That changed after Abrahao served as a teaching assistant at a top research university in the United States. He discovered that many of his students’ academic issues were rooted in something deeper: depression and anxiety.

Entry in Talent-based Contests

We study talent-based contests with endogenous entry where an agent’s talent or ability purely determines the outcome. Entry is costly but worthwhile if there is a sufficient probability of winning the prize. Entrants differ in ability, which is private information. The distribution from which a player’s ability is drawn is common knowledge. We restrict attention to Bayesian Nash equilibria in cautiously rationalizable strategies.

What Does It Take to Be “Melitz"?

This paper offers a much simplified, yet at the same time, a lot more general model that not only reproduces the major insights emerging from the recent literature of trade with heterogeneous firms, yet at the same time goes much beyond. The paper helps streamline the key driving force behind the established insights while teasing out some of the unnecessary and complicating details in the existing literature. We show that the key driving force is that trade reallocates resources from less productive firms to more productive firms at the margin.

Center for Global Asia Lecture by Professor Jonathan Skaff

The Silk Road is often idealized, conjuring up romantic visions of caravans laded with exotic silks and aromatic spices. The glamorous version of the Silk Road persists because at least one unsavory aspect of the trade, slavery, has received little scholarly attention. In this lecture, Professor Jonathan Skaff presents a rare glimpse of the eastern slave trade from Chinese-language contracts and travel permits that have survived at the Silk Road oasis city of Turfan in modern Xinjiang.

Center for Global Asia Annual Conference: Asia and Intra-Asian Connections

 

The Center for Global Asia at NYU Shanghai serves as the hub within the NYU Global Network University system to promote the study of Asian connections and comparisons, both historical and contemporary. The inaugural annual conference of the Center will focus on China’s place in intra-Asian interactions and the issues of conceptualizing, researching, and teaching Asia.

 

 

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