BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260730T150113Z UID:DE620794-1321-4DB9-B655-DFC9C12F069E DTSTART;TZID=America/New_York:20260828T090000 DTEND;TZID=America/New_York:20260828T100000 DESCRIPTION:Climate change is increasing concern about extreme heat\, heavy rainfall\, flooding\, drought\, and other high-impact weather events. How ever\, less attention is often given to the complex systems needed to obse rve weather conditions\, produce predictions\, and translate them into tim ely\, actionable advisories. These systems depend on satellites\, environm ental sensors\, communication networks\, data-processing platforms\, numer ical models\, artificial intelligence\, and public warning services. If we ather information is inaccurate\, delayed\, or unavailable\, the consequen ces may affect public safety\, emergency response\, agriculture\, energy\, transport\, healthcare\, and vulnerable communities.\n\nThis presentation will introduce the developing content of two IEEE Society on Social Impli cations of Technology (SSIT) white papers. It will use the end-to-end weat her-prediction lifecycle to identify key technical\, organisational\, and societal dependencies. The main focus will be on governance and policy cha llenges associated with numerical and AI-enabled weather prediction\, incl uding sustainability\, accessibility\, trust\, cybersecurity\, supply-chai n dependencies\, accountability\, and cross-sector coordination. Furthermo re\, the talk will examine preventive and detective measures\, the respons ible use of weather information\, and practical policy recommendations for improving the resilience and equitable operation of these systems.\n\nThe presentation will be of particular interest to researchers\, engineers\, cybersecurity and risk professionals\, meteorological specialists\, policy makers\, emergency-management practitioners and others concerned with the societal implications of weather intelligence. The audience will be invite d to contribute technical expertise\, stakeholder perspectives\, and case studies to support the ongoing development of these white papers.\n\nSpeak er(s): Carol \n\nAgenda: \nPresentation: 9 AM (eastern time zone).\n\nVirt ual: https://events.vtools.ieee.org/m/568376 LOCATION:Virtual: https://events.vtools.ieee.org/m/568376 ORGANIZER:drkrish@ieee.org SEQUENCE:16 SUMMARY:Weather Intelligence in a Changing Climate: From Societal Implicati ons to Action for Trust\, Reliability\, Sustainability and Equity URL;VALUE=URI:https://events.vtools.ieee.org/m/568376 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="text-align: justi fy\;"><span style="font-size: 12.0pt\; color: black\; mso-themecolor: text 1\;">Climate change is increasing concern about extreme heat\, heavy rainf all\, flooding\, drought\, and other high-impact weather events. However\, less attention is often given to the complex systems needed to observe we ather conditions\, produce predictions\, and translate them into timely\, actionable advisories. These systems depend on satellites\, environmental sensors\, communication networks\, data-processing platforms\, numerical m odels\, artificial intelligence\, and public warning services. If weather information is inaccurate\, delayed\, or unavailable\, the consequences ma y affect public safety\, emergency response\, agriculture\, energy\, trans port\, healthcare\, and vulnerable communities.</span></p>\n<p class="MsoN ormal" style="text-align: justify\;"><span style="font-size: 12.0pt\; colo r: black\; mso-themecolor: text1\;">This presentation will introduce the d eveloping content of two IEEE Society on Social Implications of Technology (SSIT) white papers. It will use the end-to-end weather-prediction lifecy cle to identify key technical\, organisational\, and societal dependencies . The main focus will be on governance and policy challenges associated wi th numerical and AI-enabled weather prediction\, including sustainability\ , accessibility\, trust\, cybersecurity\, supply-chain dependencies\, acco untability\, and cross-sector coordination. Furthermore\, the talk will ex amine preventive and detective measures\, the responsible use of weather i nformation\, and practical policy recommendations for improving the resili ence and equitable operation of these systems.</span></p>\n<p class="MsoNo rmal" style="text-align: justify\;"><span style="font-size: 12.0pt\; color : black\; mso-themecolor: text1\;">The presentation will be of particular interest to researchers\, engineers\, cybersecurity and risk professionals \, meteorological specialists\, policymakers\, emergency-management practi tioners and others concerned with the societal implications of weather int elligence. The audience will be invited to contribute technical expertise\ , stakeholder perspectives\, and case studies to support the ongoing devel opment of these white papers.</span></p><br /><br />Agenda: <br /><p>Prese ntation: 9 AM (eastern time zone).</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR