BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institut des Systèmes Complexes de Paris Île-de-France - ECPv6.18.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Institut des Systèmes Complexes de Paris Île-de-France
X-ORIGINAL-URL:https://iscpif.fr
X-WR-CALDESC:Évènements pour Institut des Systèmes Complexes de Paris Île-de-France
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20170326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20171029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20180325T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20181028T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20191027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20180820T090000
DTEND;TZID=Europe/Helsinki:20180820T170000
DTSTAMP:20180514T091308Z
CREATED:20180514T091114Z
LAST-MODIFIED:20180514T091308Z
UID:27797-1534755600-1534784400@iscpif.fr
SUMMARY:International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK) 2018
DESCRIPTION:With escalating globalization\, urbanization\, and ecological pressures\, the threat of devastating global pandemics becomes more pronounced. The impact of Zika\, MERS\, and Ebola outbreaks over the past decade has strongly illustrated our enormous vulnerability to emerging infectious diseases. There is an urgent need to develop sound theoretical principles and transformative computational approaches that will allow us to address the escalating threat of a future pandemic. Data mining and Knowledge discovery have an important role to play in this regard. Different aspects of infectious disease modeling\, analysis and control have traditionally been studied within the confines of individual disciplines\, such as mathematical epidemiology and public health\, and data mining and machine learning. Coupled with increasing data generation across multiple domains (like electronic medical records and social media)\, there is a clear need for analyzing them to inform public health policies and outcomes. Recent advances in disease surveillance and forecasting\, and initiatives such as the CDC Flu Challenge\, have brought these disciplines closer––public health practitioners seek to use novel datasets and techniques whereas researchers from data mining and machine learning develop novel tools for solving many fundamental problems in the public health policy planning process. We believe the next stage of advances will result from closer collaborations between these two communities\, which is the main objective of epiDAMIK.
URL:https://iscpif.fr/evenements/international-workshop-on-epidemiology-meets-data-mining-and-knowledge-discovery-epidamik-2018/
LOCATION:ISC-PIF\, 113 rue Nationale\, Paris\, Paris\, 75013\, France
CATEGORIES:.Other CS Events
END:VEVENT
END:VCALENDAR