Return-Path: Delivered-To: cadet@irif.fr Received: from mailhub.math.univ-paris-diderot.fr ([81.194.30.253]) by mailhost.irif.fr (Dovecot) with LMTP id mQ4pKwfrfmB6vAAAP9ZUWg for ; Tue, 20 Apr 2021 16:53:59 +0200 Received: from mailhub.math.univ-paris-diderot.fr (localhost [127.0.0.1]) by mailhub.math.univ-paris-diderot.fr (Postfix) with ESMTP id AF008C894B for ; Tue, 20 Apr 2021 16:53:59 +0200 (CEST) X-Virus-Scanned: amavisd-new at math.univ-paris-diderot.fr X-Spam-Flag: NO X-Spam-Score: -2.898 X-Spam-Level: X-Spam-Status: No, score=-2.898 tagged_above=-10000 required=5 tests=[ALL_TRUSTED=-1, BAYES_00=-1.9, HTML_MESSAGE=0.001, URIBL_BLOCKED=0.001] autolearn=ham autolearn_force=no Received: from mailhub.math.univ-paris-diderot.fr ([127.0.0.1]) by mailhub.math.univ-paris-diderot.fr (mailhub.math.univ-paris-diderot.fr [127.0.0.1]) (amavisd-new, port 10023) with ESMTP id KMX793r7SJlN for ; Tue, 20 Apr 2021 16:53:55 +0200 (CEST) Received: from host-37-193.sg.lan (unknown [172.23.37.193]) (Authenticated sender: cadet@irif.fr) by mailhub.math.univ-paris-diderot.fr (Postfix) with ESMTPSA id F1029C8946 for ; Tue, 20 Apr 2021 16:53:55 +0200 (CEST) From: Sandrine Cadet Content-Type: multipart/alternative; boundary="Apple-Mail=_65D58A72-784A-48C9-932C-E058D3D61C3B" Mime-Version: 1.0 (Mac OS X Mail 13.4 \(3608.120.23.2.4\)) Subject: [diip-perimeter] diiP Seminar, May5 4pm: Deploying a Data-Driven COVID-19 Screening Policy Message-Id: <7568F256-98EF-4BF7-9DF5-53436B418734@irif.fr> References: To: Sandrine Cadet Date: Tue, 20 Apr 2021 16:53:55 +0200 X-Mailer: Apple Mail (2.3608.120.23.2.4) --Apple-Mail=_65D58A72-784A-48C9-932C-E058D3D61C3B Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=utf-8 >>=20 >> From: Ana=C3=AFs De Muret De Labouret = > >> Subject: [diip-perimeter] diiP Seminar, May5 4pm: Deploying a = Data-Driven COVID-19 Screening Policy >> Date: 15 April 2021 at 15:53:51 CEST >> Reply-To: Ana=C3=AFs De Muret De Labouret = > >>=20 >> Data Intelligence Institute of Paris (diiP) Seminar >> = >>=20 >> =20 >> Deploying a Data-Driven COVID-19 Screening Policy=20 >> Who: Prof Kimon Drakopoulos (University of Southern California) >> When: May 5, 4pm (Paris time). >> Where: online (zoom) = https://u-paris.zoom.us/j/85739433048?pwd=3DS1JGSFAxOFdYU0VEVGkyVXNUa2cyQT= 09 = >> title: >> Deploying a Data-Driven COVID-19 Screening Policy at the Greek Border >> abstract: >> In collaboration with the Greek government, we designed and deployed = a nation-wide COVID-19 screening protocol for travelers to Greece. The = goals of the protocol were to combine limited demographic information = about arriving travelers with screening results from recently tested = travelers to i) judiciously allocate Greece=E2=80=99s limited testing = budget to identify asymptomatic, infected travelers and ii) quickly = identify hotspots and spikes in other nations to inform = immigration/border policies in real-time. This talk details i) the = operations of our designed system (including border screening, database = management, closed-loop feedback, and liaising with contact-tracing = teams), ii) a novel, batched, contextual bandit algorithm tailored to = the unique features of this problem and iii) an empirical assessment of = the benefits of the deployed system from the summer/fall 2020. >> short bio: >> Kimon Drakopoulos is an Assistant Professor of Data Sciences and = Operations at USC Marshall School of Business, where he researches = complex networked systems, control of contagion, information design and = information economics. He completed his Ph.D. in the Laboratory for = Information and Decision Systems at MIT, focusing on the analysis and = control of epidemics within networks. His current research revolves = around controlling contagion, epidemic or informational as well as the = use of information as a lever to improve operational outcomes in the = context of testing allocation, fake news propagation and belief = polarization. >> logistics: >> Fell free to share with your team, but please ask interested parties = to register by emailing us at diip@math-info.univ-paris5.fr = with the date of the seminar.=20 >> The seminar material (slides/video recording) will appear in our = webpage=20 >> > >>=20 >> All the best, >> Ana=C3=AFs >>=20 >>=20 >> Ana=C3=AFs de Muret >> Manager de projets, Cit=C3=A9 du Genre = et Data Intelligence Institute of Paris = >> Universit=C3=A9 de Paris >>=20 >> 5, rue Thomas Mann >> B=C3=A2timent C des Grands Moulins - Bureau 879C >> 75013 Paris >>=20 >> 01 57 27 52 36=20 >=20 --Apple-Mail=_65D58A72-784A-48C9-932C-E058D3D61C3B Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=utf-8

From: Ana=C3=AFs De Muret De Labouret <anais.de-muret-de-labouret@parisdescartes.fr>
Subject: = [diip-perimeter] = diiP Seminar, May5 4pm: Deploying a Data-Driven COVID-19 Screening = Policy
Date: 15 April 2021 at 15:53:51 CEST
Reply-To: = Ana=C3=AFs De Muret De Labouret = <anais.de-muret-de-labouret@parisdescartes.fr>

Data Intelligence Institute of Paris (diiP) Seminar
<https://u-paris.fr/diip/diip-seminars/>

 
Deploying a Data-Driven COVID-19 Screening = Policy 
Who: Prof Kimon Drakopoulos (University of = Southern California)
When: May 5, 4pm (Paris time).
Where: = online (zoom) https://u-paris.zoom.us/j/85739433048?pwd=3DS1JGSFAxOFdYU0VEVGk= yVXNUa2cyQT09

title:
Deploying a Data-Driven COVID-19 Screening Policy at the = Greek Border
abstract:
In collaboration with the Greek = government, we designed and deployed a nation-wide COVID-19 screening = protocol for travelers to Greece. The goals of the protocol were to = combine limited demographic information about arriving travelers with = screening results from recently tested travelers to i) judiciously = allocate Greece=E2=80=99s limited testing budget to identify = asymptomatic, infected travelers and ii) quickly identify hotspots and = spikes in other nations to inform immigration/border policies in = real-time. This talk details i) the operations of our designed system = (including border screening, database management, closed-loop feedback, = and liaising with contact-tracing teams), ii) a novel, batched, = contextual bandit algorithm tailored to the unique features of this = problem and iii) an empirical assessment of the benefits of the deployed = system from the summer/fall 2020.
short bio:
Kimon = Drakopoulos is an Assistant Professor of Data Sciences and Operations at = USC Marshall School of Business, where he researches complex networked = systems, control of contagion, information design and information = economics. He completed his Ph.D. in the Laboratory for Information and = Decision Systems at MIT, focusing on the analysis and control of = epidemics within networks. His current research revolves around = controlling contagion, epidemic or informational as well as the use of = information as a lever to improve operational outcomes in the context of = testing allocation, fake news propagation and belief = polarization.
logistics:
Fell free to share with your team, but please = ask interested parties to register by emailing us at diip@math-info.univ-paris5.fr with the date of the = seminar. 
The seminar material = (slides/video recording) will appear in our webpage 
<https://u-paris.fr/diip/diip-seminars/>

All the best,
Ana=C3=AFs


Ana=C3=AFs de Muret
Manager de projets, Cit=C3=A9 du Genre et Data= Intelligence Institute of Paris
Universit=C3=A9 de Paris

5, rue Thomas Mann
B=C3=A2timent C des Grands Moulins = - Bureau 879C
75013 Paris

01 57 27 = 52 36 


= --Apple-Mail=_65D58A72-784A-48C9-932C-E058D3D61C3B--