I'm honored and humbled to announce that I'm #MeetingThisMoment by joining the @RockefellerFdn as the Managing Director of Pathogen Surveillance. I'll be working w/ @RickABright & the incredible PPI team to build an equitable, ethical surveillance program. rockefellerfoundation.org/blog/rapid-gro…
I'm staying on @Northeastern as an affiliate assistant professor & would not be in a position to take on this incredible responsibility w/out the support from so many amazing individuals at NEU, especially Prof. Vespignani (@alexvespi) and the wonderful members of @NUnetsi.
I owe a huge thanks to countless other mentors, colleagues, and friends, but want to specifically call out @MOUGK, @johnbrownstein, and the entire @globaldothealth team. Working with you on improving #COVID19 data over the past 18 months has been the honor of lifetime.
We're gearing up for a major hiring initiative on the surveillance team! I'll have a lot more say on this very soon. So stay tuned. #MeetingThisMoment

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More from @svscarpino

24 Feb
For the past year, we've been building an open data platform for tracking epidemics and curating a global repository of #COVID19 cases. Today, with support from @Googleorg & @RockefellerFdn, I'm proud to introduce @globaldothealth. 1/13
We have an amazing team of engineers, academics, technologists, and entrepreneurs; many of whom have volunteered hundreds of hours helping us build Global.health. You can learn about them and their incredible work here: global.health/about/ 3/13
Read 13 tweets
5 Nov 20
While we all anxiously await news from NV, GA, & PA, our (@LHDnets, @BMAlthouse, & @all_are) paper on pandemic risk assessment that goes *beyond R0* is out @RSocPublishing Interface. 1/10 royalsocietypublishing.org/doi/10.1098/rs…
Building from foundational work in math. epi. and network science, we show how super-spreading creates havoc for pandemic risk predictions based on R0 alone and then derive a method for correcting the predictions. 2/10
This paper includes what I think is the most intuitive explanation for how higher moments in the distribution of secondary infections affects epidemic risk that I've read (@LHDnets & @all_are wrote the following lines). 3/10
Read 10 tweets
4 Nov 20
Regardless of what happens, 48% of voters in US supported hate, greed, and anti-science. Until we accept and address these persistent issues, we cannot progress as a country.
Since the trolling has started, here’s my logic. In the 10 months leading up to this election, the actions of our incumbent president directly *caused* the deaths of >200k Americans and counting & wiped 12 trillion dollars from our economy.
Anyone voting for him must have an even stronger motive. The only ones I can think of are hate, greed, and anti-science. I file taking away a woman’s right to choose under hate and anti-science.
Read 6 tweets
5 Oct 20
The intensity of #COVID19 epidemics is heavily influenced by population structure. Our new paper analyzing high-resolution case, population, & mobility data from China and Italy is out today in @NatureMedicine. Co-led w/ @MOUGK & @EvolveDotZoo. 1/15 nature.com/articles/s4159… Image
The work brought together an international team of collaborators: B. Rader, @AnjalikaNande, @alison_l_hill, B. Adlam, @RCReinerJr, @davidmpigott, @B_Gutierrez_G, A. Zarebski, @munikShrestha, @johnbrownstein, @marciacastrorj, @chris0dye, H. Tian, @EvolveDotZoo, & @MOUGK 2/15
Using case data from the "Open COVID-19 Data Working Group" (github.com/beoutbreakprep…), paired with high-resolution population and mobility data, we showed that epidemics are sharper in lower-density areas and broader and longer in big cities. 3/15 ImageImage
Read 15 tweets
22 Sep 20
Tomorrow I'm speaking @yale_eeb on "Network Theory and COVID-19." My goal is to pull a thread across the 10+ papers we've written on the topic & convince you that #COVID19 became a pandemic because the world does not understand complex systems. h/t to my host @big_data_kane. 1/13 Image
First, building from foundational work in math. epi. and network science, we showed how super-spreading creates havoc for pandemic risk predictions and then derive a method for correcting the predictions. 2/13
Second, how de-coupling the risk of infection from transmission breaks the friendship paradox, which most (non-mass-action) herd immunity thresholds rely on & can mean that backwards case investigation is more important than forward contact tracing. 3/13
Read 13 tweets
19 Sep 20
I’m fighting for a country where we can just grieve when our heroes die. Where compassion, empathy, and knowledge are valued over greed, power, and ambition.
Make no mistake, it’s the same leaders who perpetuate the grief of families, friends, and communities every time a police officer murders a person of color.
And it’s the same leaders who— through incompetence, arrogance, and anti-science—*let* COVID-19 cause so much grief and prevent us from safely mourning together, for those murdered by police, that die during this pandemic, and for one of the great heroes of our democracy, RBG.
Read 4 tweets

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