Shift workers face variable schedules that allow companies to achieve operational optimization. However, Wharton's @BergmanAlon, Guy David, and @HummySong, investigated the often uncalculated costs of turnover from these variable schedules. #WorldHealthDay https://t.co/nB2ip50wGN
@WiljeanaGlover Thank you @WiljeanaGlover and congratulations to you on your Wickham Skinner Teaching Innovation Award! Let's definitely connect; I'd love to learn more about your collaboration as well!
new paper with @HummySong and Song-Hee Kim about how people learn from teammates. check it out if you're interested in teams or in using archival data to understand org processes or in ERs/health care - Learning in Temporary Teams https://t.co/WcM82th52j
#BREAKING: Dr Paul Farmer, a renowned American physician and co-founder of Partners in Health @PIH, has died aged 62.
Farmer was a receipt of the National Order of Outstanding Friendship (Igihango), which he was conferred upon by President #Kagame in August 2019.
Recent research covering #nursing turnover shows that inconsistency in schedules driven by employers increases workers’ likelihood of quitting:
📄 https://t.co/5UEdW1BeDV
@BergmanAlon, @GuyDavid_HE, @HummySong@Wharton@Penn
🚨Pre-doc Announcement🚨
@HummySong and I are hiring a research associate to start in Summer 2022.
Interested in marketing analytics, causal inference, health economics and healthcare operations mgmt?
Come work with us @Wharton!
Details: https://t.co/7bhTHWuekB
Please RT!
Was a pleasure joining @WhartonBizDaily to talk about how much additional risk was being borne by #EssentialWorkers and their household members in the early months of the #COVID19 pandemic: https://t.co/jxO8hKElff
When #COVID19 began its insidious march across the globe more than a year ago, it disrupted every industry. We asked Wharton's @NRothbard, Jeremy Siegel, @HummySong, @mikeuse, @barbarakahn and @g_allon to tell us what they see in store for the rest of 2021When #COVID19 began its insidious march across the globe more than a year ago, it disrupted every industry. We asked Wharton's @NRothbard, Jeremy Siegel, @HummySong, @mikeuse, @barbarakahn and @g_allon to tell us what they see in store for the rest of 2021When #COVID19 began its insidious march across the globe more than a year ago, it disrupted every industry. We asked Wharton's @NRothbard, Jeremy Siegel, @HummySong, @mikeuse, @barbarakahn and @g_allon to tell us what they see in store for the rest of 2021When #COVID19 began its insidious march across the globe more than a year ago, it disrupted every industry. We asked Wharton's @NRothbard, Jeremy Siegel, @HummySong, @mikeuse, @barbarakahn and @g_allon to tell us what they see in store for the rest of 2021When #COVID19 began its insidious march across the globe more than a year ago, it disrupted every industry. We asked Wharton's @NRothbard, Jeremy Siegel, @HummySong, @mikeuse, @barbarakahn and @g_allon to tell us what they see in store for the rest of 2021When #COVID19 began its insidious march across the globe more than a year ago, it disrupted every industry. We asked Wharton's @NRothbard, Jeremy Siegel, @HummySong, @mikeuse, @barbarakahn and @g_allon to tell us what they see in store for the rest of 2021.
Exploring the extent to which being designated an essential or non-essential worker impacts one’s risk of being Covid-positive following PA’s non-essential business closure order, from @hummysong, @McKennaEcon, @angela_t_chen, @GuyDavid_HE, and @asmithmc https://t.co/ebazezghmj
🚨 New NBER WP: We document the impact of business closure policies on #COVID19 infection rates among essential v nonessential workers and their cohabitants, with @McKennaEcon, @angela_t_chen, @GuyDavid_HE, and @asmithmc. https://t.co/fvjFGbigbl
🚨 NEW BLOG ALERT: LDI Fellows Alon Bergman, @HummySong, @angela_t_chen, @GuyDavid_HE, @AriBFriedman, @amy_m_bond & colleagues find that ‘clearing the queue’ of mammograms postponed early in the #pandemic would take at least 5 months.
Read more 👇
https://t.co/DT9BzfLkBq
When #COVID19 plowed through NYC like a tidal wave, the chances of survival heavily depended on the hospital you were treated in. In hard hit outer borough/public hospitals, the mortality rate was 3x higher than Manhattan private hospitals. A thread:
https://t.co/8wkMKBwARE