BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART:20180311T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20171105T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20180104T115003Z
UID:0E0D81C6-D5CC-11E7-833E-0050568D7F66
DTSTART;TZID=America/New_York:20171213T153000
DTEND;TZID=America/New_York:20171213T173000
DESCRIPTION:Big Data just keeps getting bigger\, and it may be that we have
  gone past a tipping point on applications.\nWhat if you could cross conne
 ct thousands of data points on every person in the U.S.? What f you\ncould
  run human medical/psychological tests on thousands or millions of volunte
 ers without\nany "human subject review committee?". What if you could targ
 et custom ads at each individual\,\nknowing their preferences\, purchasing
  history\, and personality traits? What if examining a few pictures\nof a 
 persons face you would have a high probability of accurately associating t
 hem with a capital offense?\nWhat if connecting the gun purchasing databas
 e into other data stores could identify highly likely suicide or violent\n
 offenders? All but the last one of these potential applications is "so las
 t year." It is time to be\naware of the uses\, and potential abuses of big
  data\, and consider what it means for our future.\n\n(Based on a recent l
 ife long learning class: [Little Issues with Big Data and AI](https://is.g
 d/BigDataIssues)\, Syllabus for said class has links to relevent resources
 )\n\nCo-sponsored by: Boston Section\, life members affiliate group\n\nAge
 nda: \n3:30 Coffee and Cookies\n\n3:50 intro video ([CEO of Cambridge Anal
 ytica describing his big data system](https://www.youtube.com/watch?v=n8Dd
 5aVXLCc&t=98s&authuser=0))\n\n4PM Presentation followed by discussion\, qu
 estions\, concerns\, whatever\n\nBldg: Lincoln Lab Cafeteria\, 244 Wood St
 reet\, Lexington\, Massachusetts\, United States
LOCATION:Bldg: Lincoln Lab Cafeteria\, 244 Wood Street\, Lexington\, Massac
 husetts\, United States
ORGANIZER:SSIT@JimIsaak.com
SEQUENCE:4
SUMMARY:A Little Bit More About Big Data
URL;VALUE=URI:https://events.vtools.ieee.org/m/48840
X-ALT-DESC:Description: <br /><div>Big Data just keeps getting bigger\, and
  it may be that we have gone past a tipping point on applications.</div>\n
 <div>What if you could cross connect thousands of data points on every per
 son in the U.S.?&nbsp\; What f you</div>\n<div>could run human medical/psy
 chological tests on thousands or millions of volunteers without</div>\n<di
 v>any "human subject review committee?". What if you could target custom a
 ds at each individual\,</div>\n<div>knowing their preferences\, purchasing
  history\, and personality traits?&nbsp\; What if examining a few pictures
 </div>\n<div>of a persons face you would have a high probability of accura
 tely associating them with a capital offense?</div>\n<div>What if connecti
 ng the gun purchasing database into other data stores could identify highl
 y likely suicide or violent</div>\n<div>offenders? All but the last one of
  these potential applications is "so last year." It is time to be</div>\n<
 div>aware of the uses\, and potential abuses of big data\, and consider wh
 at it means for our future.</div>\n<div>&nbsp\;</div>\n<div>&nbsp\;(Based 
 on a recent life long learning class: <a href="https://is.gd/BigDataIssues
 ">Little Issues with Big Data and AI</a>\, Syllabus for said class has lin
 ks to relevent resources)</div><br /><br />Agenda: <br /><p>3:30 Coffee an
 d Cookies</p>\n<p>3:50 intro video (<a href="https://www.youtube.com/watch
 ?v=n8Dd5aVXLCc&amp\;t=98s&amp\;authuser=0">CEO of Cambridge Analytica desc
 ribing his big data system</a>)</p>\n<p>4PM Presentation followed by discu
 ssion\, questions\, concerns\, whatever</p>
END:VEVENT
END:VCALENDAR