All-hands meeting 2019

Europe/Copenhagen
Gudbrandsgård hotell

Gudbrandsgård hotell

KVITFJELLVEGEN 471, FÅVANG NORWAY
Participants
    • PM/PO meetings Meeting room: Plenum 2

      Meeting room: Plenum 2

      Gudbrandsgård hotell

      Pre-event Project Manager / Project Owner meetings
      https://wiki.neic.no/int/PMPO_meeting_2019-01-28

      Convener: Gudmund Høst (NeIC)
    • 1
      Registration Lobby

      Lobby

    • 2
      Welcome talk Kongressen

      Kongressen

      Speaker: Gudmund Høst (NeIC)
    • Hackathon: Introduction to the hackathon and opening remarks Kongressen

      Kongressen

      Team work, hackathon

    • 19:30
      Dinner
    • Keynote: Astro-ecology: astrophysics meets conservation biology (Steven Longmore) Kongressen

      Kongressen

      The World Wildlife Fund for Nature (WWF) estimates that up to five species of life on our planet become extinct every day. This astonishing rate of decline has potentially catastrophic consequences, not just for the ecosystems where the species are lost, but also for the world economy and planet as a whole. Indeed, biodiversity loss and consequent ecosystem collapse is commonly listed as one of the 10 foremost dangers facing humanity, and most pressingly in the developing world. There is a fundamental need to routinely monitor animal populations over much of the globe so that conservation strategies can be optimized with such information. The challenge faced to meet this need is considerable. To date most monitoring of animal populations is conducted manually, which is extremely labour-intensive, inherently slow and costly. Building on technological and software innovations in astronomy and machine learning, we have developed a drone plus thermal infrared imaging system and an associated automated detection/identification pipeline that has the potential to provide a cost-effective and efficient way to overcome this challenge. I will describe the current status of the system and our efforts to enable local communities in developing countries with little/no technical background to run routine monitoring and management of animal populations over large and inhospitable areas and thereby tackle global biodiversity loss.

      Convener: Prof. Steven Longmore
      • 3
        Using machine learning to identify animals from drones

        The World Wildlife Fund for Nature (WWF) estimates that up to five species of life on our planet become extinct every day. This astonishing rate of decline has potentially catastrophic consequences, not just for the ecosystems where the species are lost, but also for the world economy and planet as a whole. Indeed, biodiversity loss and consequent ecosystem collapse is commonly listed as one of the 10 foremost dangers facing humanity, and most pressingly in the developing world. There is a fundamental need to routinely monitor animal populations over much of the globe so that conservation strategies can be optimized with such information. The challenge faced to meet this need is considerable. To date most monitoring of animal populations is conducted manually, which is extremely labour-intensive, inherently slow and costly. Building on technological and software innovations in astronomy and machine learning, we have developed a drone plus thermal infrared imaging system and an associated automated detection/identification pipeline that has the potential to provide a cost-effective and efficient way to overcome this challenge. I will describe the current status of the system and our efforts to enable local communities in developing countries with little/no technical background to run routine monitoring and management of animal populations over large and inhospitable areas and thereby tackle global biodiversity loss.

        Speaker: Prof. Steven Longmore (Liverpool John Moores University)
    • Hackathon: Presentation of ideas Kongressen

      Kongressen

      Team work, hackathon

    • 10:30
      Break and Lunch
    • Hackathon: Team formation Kongressen

      Kongressen

      Team work, hackathon

    • Hackathon: Team work! Rooms available: Kongressen, Dæhlie, Skari and Plenum2

      Rooms available: Kongressen, Dæhlie, Skari and Plenum2

      Team work, hackathon

    • Hackathon: Checkpoint #1 - whole team please show up Skari

      Skari

      Team work, hackathon

    • Hackathon: Mentors go around Rooms available: Kongressen, Dæhlie, Skari and Plenum2

      Rooms available: Kongressen, Dæhlie, Skari and Plenum2

      Team work, hackathon

    • Hackathon: Pitch training Skari

      Skari

      Team work, hackathon

    • Hackathon: Work continues Skari

      Skari

      Team work, hackathon

    • 19:30
      Dinner
    • Hackathon: Development continues Rooms available: Kongressen, Dæhlie, Skari and Plenum2

      Rooms available: Kongressen, Dæhlie, Skari and Plenum2

      Team work, hackathon

    • Hackathon: Checkpoint Skari

      Skari

      Team work, hackathon

    • 10:30
      Break and lunch
    • Hackathon: Pitch drill Skari

      Skari

      Team work, hackathon

    • Hackathon: Development continues Rooms available: Kongressen, Dæhlie, Skari and Plenum2

      Rooms available: Kongressen, Dæhlie, Skari and Plenum2

      Team work, hackathon

    • Hackathon: Final presentations! Kongressen

      Kongressen

      Team work, hackathon

    • Hackathon: Announcement of winners Kongressen

      Kongressen

      Team work, hackathon

    • FA2: NeIC Focus Area 2 - Share resources Kongressen

      Kongressen

      FA2

      Convener: Tomasz Malkiewicz (NeIC/CSC)
    • 19:30
      Dinner
    • Area meetings: Coderfinery Skari

      Skari

      Convener: Radovan Bast
    • Area meetings: Dellingr Kongressen

      Kongressen

      Convener: John White (NeIC)
    • Area meetings: Glenna2 Dæhlie

      Dæhlie

      Convener: Dan Still
    • Area meetings: NT1 Kongressen

      Kongressen

      Convener: Mattias Wadenstein (NeIC)
    • Area meetings: Tryggve2 Plenum 2

      Plenum 2

      Convener: Antti Pursula (CSC)
    • 12:00
      Lunch
    • 4
      Shuttles to the airport