BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220826T170122Z UID:F981225D-7D4A-43C0-847C-6582210D44EE DTSTART;TZID=America/New_York:20220826T120000 DTEND;TZID=America/New_York:20220826T130000 DESCRIPTION:Title: The evolution of population modeling through the lens of science and engineering advances\n\nAbstract:\n\nUnderstanding how people inhabit the world is a foundational piece of information for addressing c ritical issues facing the world today. From sustainability to human health and security\, accurate and detailed information about how and where peop le spend their time is essential for effective situational preparedness an d response\, as well as making valuable long-term policy decisions. This i s particularly critical as population pressures on resources\, energy\, an d the environment are combining with rapid cultural\, social\, and technol ogical change to produce new sources of deprivation and instability in the world. Census data have been a traditional means by which to model and ma p populations\, yet these data have limitations for analyses. For example\ , census data are representative of where people live\, and thus only capt ure the residential human footprint rather than the full space of human ac tivity. Furthermore\, many areas of the world have outdated censuses\, and even where these efforts are more current\, areas of rapid growth or chan ge (e.g. conflict\, disasters\, or other crises) will not be accurately re flected. This seminar will present longstanding research and development e fforts at the nexus of geoscience\, computer science\, and social science to produce highly resolved models representing how humans populate the wor ld in space and time\, to include essential geographies such as non-permis sive environments or data poor areas.\n\nBiography:\n\nAmy Rose is a Senio r Staff Scientist in the Geospatial Science and Human Security Division at Oak Ridge National Laboratory. Dr. Rose has been in the field of geospati al science and technology for over 25 years\, having started her career at a university research center engaging in logistics and transportation res earch. From there she transitioned to a Fortune 500 company where she led enterprise geospatial systems development and deployment for environmental assessment and infrastructure characterization applications. Dr. Rose has been at ORNL since 2007\, during which time her work has been primarily f ocused on geocomputational methods for characterizing human dynamics and t he built environment at scale to inform a variety of applications includin g human health and security\, urban resiliency\, and environmental impacts . Dr. Rose is currently the director for the LandScan Population Distribut ion program which combines multi-modal data fusion\, statistical approache s\, and machine learning algorithms for highly resolved global mapping of human population.\n\n[Join WebEx meeting](https://ieeemeetings.webex.com/i eeemeetings/j.php?MTID=mb31225ccda9efdaeda1beef409017c34)\n\nhttps://ieeem eetings.webex.com/ieeemeetings/j.php?MTID=mb31225ccda9efdaeda1beef409017c3 4\n\nMeeting number: 2531 149 3363\nMeeting password: ueJZ9XBWj37\n\nJoin from a video system or application\nDial 25311493363@ieeemeetings.webex.co m\nYou can also dial 173.243.2.68 and enter your meeting number.\nTo dial from an IEEE Video Conference System: *1 2531 149 3363\n\nTap to join from a mobile device (attendees only)\n[+1-415-655-0002\,\,25311493363##](tel: %2B1-415-655-0002\,\,*01*25311493363%23%23*01*) United States Toll\n[1-855 -282-6330\,\,25311493363##](tel:1-855-282-6330\,\,*01*25311493363%23%23*01 *) United States Toll Free\n\nJoin by phone\n+1-415-655-0002 United States Toll\n1-855-282-6330 United States Toll Free\n\nAgenda: \n45min Presentat ion\n\n15 min Q/A\n\nOak Ridge\, Tennessee\, United States LOCATION:Oak Ridge\, Tennessee\, United States ORGANIZER:kotevskao@ornl.gov SEQUENCE:5 SUMMARY:Dr. Amy Rose: The evolution of population modeling through the lens of science and engineering advances URL;VALUE=URI:https://events.vtools.ieee.org/m/322092 X-ALT-DESC:Description: <br /><p style="font-weight: 400\;"><strong>Title: <em>The evolution of population modeling through the lens of science and e ngineering advances</em></strong></p>\n<p style="font-weight: 400\;"><stro ng>Abstract:</strong></p>\n<p style="font-weight: 400\;">Understanding how people inhabit the world is a foundational piece of information for addre ssing critical issues facing the world today. From sustainability to human health and security\, accurate and detailed information about how and whe re people spend their time is essential for effective situational prepared ness and response\, as well as making valuable long-term policy decisions. This is particularly critical as population pressures on resources\, ener gy\, and the environment are combining with rapid cultural\, social\, and technological change to produce new sources of deprivation and instability in the world. Census data have been a traditional means by which to model and map populations\, yet these data have limitations for analyses. For e xample\, census data are representative of where people live\, and thus on ly capture the residential human footprint rather than the full space of h uman activity. Furthermore\, many areas of the world have outdated censuse s\, and even where these efforts are more current\, areas of rapid growth or change (e.g. conflict\, disasters\, or other crises) will not be accura tely reflected. This seminar will present longstanding research and develo pment efforts at the nexus of geoscience\, computer science\, and social s cience to produce highly resolved models representing how humans populate the world in space and time\, to include essential geographies such as non -permissive environments or data poor areas.</p>\n<p style="font-weight: 4 00\;"><strong>Biography:</strong></p>\n<p style="font-weight: 400\;">Amy R ose is a Senior Staff Scientist in the Geospatial Science and Human Securi ty Division at Oak Ridge National Laboratory. Dr. Rose has been in the fie ld of geospatial science and technology for over 25 years\, having started her career at a university research center engaging in logistics and tran sportation research. From there she transitioned to a Fortune 500 company where she led enterprise geospatial systems development and deployment for environmental assessment and infrastructure characterization applications . Dr. Rose has been at ORNL since 2007\, during which time her work has be en primarily focused on geocomputational methods for characterizing human dynamics and the built environment at scale to inform a variety of applica tions including human health and security\, urban resiliency\, and environ mental impacts. Dr. Rose is currently the director for the LandScan Popula tion Distribution program which combines multi-modal data fusion\, statist ical approaches\, and machine learning algorithms for highly resolved glob al mapping of human population.</p>\n<table>\n<tbody>\n<tr>\n<td><a title= "https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=mb31225ccda9efdaed a1beef409017c34" href="https://ieeemeetings.webex.com/ieeemeetings/j.php?M TID=mb31225ccda9efdaeda1beef409017c34" target="_blank" rel="noopener"><str ong>Join WebEx meeting</strong></a></td>\n</tr>\n</tbody>\n</table>\n<p st yle="font-weight: 400\;"><br /><a title="https://ieeemeetings.webex.com/ie eemeetings/j.php?MTID=mb31225ccda9efdaeda1beef409017c34" href="https://iee emeetings.webex.com/ieeemeetings/j.php?MTID=mb31225ccda9efdaeda1beef409017 c34" target="_blank" rel="noopener">https://ieeemeetings.webex.com/ieeemee tings/j.php?MTID=mb31225ccda9efdaeda1beef409017c34</a><br /><br /></p>\n<t able>\n<tbody>\n<tr>\n<td>Meeting number:</td>\n<td>2531 149 3363</td>\n</ tr>\n<tr>\n<td>Meeting password:</td>\n<td>ueJZ9XBWj37</td>\n</tr>\n</tbod y>\n</table>\n<p style="font-weight: 400\;">&nbsp\;</p>\n<table>\n<tbody>\ n<tr>\n<td>&nbsp\;</td>\n</tr>\n</tbody>\n</table>\n<table>\n<tbody>\n<tr> \n<td><strong>Join from a video system or application</strong></td>\n</tr> \n<tr>\n<td>Dial&nbsp\;<a dir="auto">25311493363@ieeemeetings.webex.com</a ></td>\n</tr>\n<tr>\n<td>You can also dial 173.243.2.68 and enter your mee ting number.</td>\n</tr>\n</tbody>\n</table>\n<p style="font-weight: 400\; ">To dial from an IEEE Video Conference System:&nbsp\;<strong>*1 2531 149 3363</strong><br /><br /></p>\n<table>\n<tbody>\n<tr>\n<td><strong>Tap to join from a mobile device (attendees only)</strong></td>\n</tr>\n<tr>\n<td ><a href="tel:%2B1-415-655-0002\,\,*01*25311493363%23%23*01*" target="_bla nk" rel="noopener">+1-415-655-0002\,\,25311493363##</a>&nbsp\;United State s Toll</td>\n</tr>\n<tr>\n<td><a href="tel:1-855-282-6330\,\,*01*253114933 63%23%23*01*" target="_blank" rel="noopener">1-855-282-6330\,\,25311493363 ##</a>&nbsp\;United States Toll Free</td>\n</tr>\n<tr>\n<td>&nbsp\;</td>\n </tr>\n</tbody>\n</table>\n<table>\n<tbody>\n<tr>\n<td><strong>Join by pho ne</strong></td>\n</tr>\n<tr>\n<td dir="auto">+1-415-655-0002&nbsp\;United States Toll</td>\n</tr>\n<tr>\n<td dir="auto">1-855-282-6330&nbsp\;United States Toll Free</td>\n</tr>\n</tbody>\n</table>\n<p style="font-weight: 400\;">&nbsp\;</p><br /><br />Agenda: <br /><p>45min Presentation</p>\n<p> 15 min Q/A</p> END:VEVENT END:VCALENDAR