BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:Europe/London X-WR-TIMEZONE:Europe/London BEGIN:VEVENT UID:65@oxon.bcs.org DTSTART;TZID=Europe/London:20220616T193000 DTEND;TZID=Europe/London:20220616T210000 DTSTAMP:20221110T215028Z URL:https://oxon.bcs.org/programme/inferring-fishing-vessel-behaviour-from -gps-based-location-transmissions/ SUMMARY:Using Artificial Intelligence to Combat Illegal Fishing and Modern- Day Slavery DESCRIPTION:\nDr Trevor Thomas\, Chief Data Scientist\, Oceanmind Ltd\n\n\n More than 80% of all life on Earth dwells in our ocean\, producing over ha lf of the planet’s oxygen. 3 billion people derive their protein from se afood. 1 in 8 people depend on the sea to earn their livelihood. The ocean regulates our weather and our climate.\n\n\nYet the ocean is under dire t hreat from human activity and the relentless effects of climate change. It is estimated that 60% of the world’s major marine ecosystems have been degraded or used unsustainably. Thousands of ocean species are threatened with extinction.\nOceanmind has developed algorithms which daily analyse h undreds of thousands of fishing vessel tracks derived from GPS-based locat ion transmissions to determine whether the vessel is fishing or not\, what kind of fishing it is undertaking\, where is it fishing\, which ports it visits and where and when it obtain supplies and transfers its catch to re frigerated carrier vessels. We then use other sources of information about vessel licences and the locations of restricted areas to determine whethe r the vessel is fishing legally or might benefit from inspection the next time it goes to port.\n\nWe will provide an overview of the algorithms use d and some measures of algorithm performance\nBio:\nDr Trevor Thomas is Ch ief Data Scientist at Oceanmind Ltd\, a not-for-profit company based in Ha rwell UK\, which provides enforcement and\, compliance information to prot ect the world’s oceans. His whole career has been spent developing patte rn matchers to decode time-based signals in a variety of fields such as sp eech recognition and audio processing\, and now works developing new algor ithms to provide insight into vessel activity.\nHybrid Meeting\n\n\nThis e vent will be held both “in person” and “via Zoom”.\n\n“In Person ” Logistics\n\nThe “in person” meeting will be held at our usual mee ting place: OeRC\, University of Oxford\, 6 Keble Road\, OX1 3QG. The meet ing will commence at 7:30pm\, and an assortment of light refreshments will be available beforehand. Please register for the event as usual using the Eventbrite link on the website or via MeetUp\, where you will be able to indicate whether you are attending via Zoom or in person.\n\nCovid Guideli nes\n\nAs the Covid infection is still with us \, we would request that “in person” attendees follow some sensible guidelines\, summarised bel ow:\n\n please don’t attend if you have any Covid symptoms or test posi tive\n respect other attendees by maintaining social distancing both in t he lecture theatre\, and when socialising before the event\n please wear masks when not eating\n we would recommend talking a Lateral Flow Test be fore attending the event\n\nWe will be maximising the ventilation on the l ecture theatre\, so attendees should be prepared for the lecture theatre t o be cooler than usual.\n\n ATTACH;FMTTYPE=image/jpeg:https://oxon.bcs.org/wp-content/uploads/2022/01/ OceanMind-thumb.png LOCATION:Oxford e-Research Centre\, 7 Keble Road\, Oxford\, Oxfordshire\, O X1 3QG\, United Kingdom GEO:51.7595162;-1.2584564999999656 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=7 Keble Road\, Oxford\, Oxf ordshire\, OX1 3QG\, United Kingdom;X-APPLE-RADIUS=100;X-TITLE=Oxford e-Re search Centre:geo:51.7595162,-1.2584564999999656 END:VEVENT BEGIN:VTIMEZONE TZID:Europe/London X-LIC-LOCATION:Europe/London BEGIN:DAYLIGHT DTSTART:20220327T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:BST END:DAYLIGHT END:VTIMEZONE END:VCALENDAR