ESIP GeoSemantics Symposium, Winter 2020

Putting Data to Work: connecting science domain experts with ESIP data semantics and machine learning technologists


Symposium Agenda: Agenda available here


Date and Time: Monday, January 6th, 2020, 8:30am to 5pm (the day before the start of the ESIP 2020 Winter Meeting)

Location: Room TBC, Bethesda North Marriott and Convention Center 5701 Marinelli Rd, Rockville, MD 20852

Cost: The event is free. However, attendees must cover their own travel expenses. See the ESIP 2020 Winter Meeting for more details.

Registration: Register here

Remote Access: TBC

Description:

Join us at the bi-annual winter 2020 ESIP GeoSemantics Symposium on Monday, January 6th, 2020, 8:30am to 5pm (the day before the start of the ESIP 2020 Winter Meeting. This year's symposium theme is Putting Data to Work: connecting science domain experts with ESIP data semantics and machine learning technologists. The morning will feature presentations from invited science domain experts where technologists can listen to and learn about current, pressing science needs. The afternoon will follow a ‘vote with your feet’ format where breakout sessions will enable in-depth conversation, brainstorming and project planning focused on how parties can work together in the future. This format departs from previous events in line with feedback indicating an interest in ‘real life’ problems for attendees to consider.

Join us at the Bethesda North Marriott and Convention Center 5701 Marinelli Rd, Rockville, MD 20852.

The symposium is free and open to everyone. Register here, or email lewis.j.mcgibbney [at] jpl [dot] nasa [dot] gov. Check our webpage from time to time for updates.

We seek broad community input and encourage non-ESIP members and members of other professional societies to attend. The event itself is free; however, attendees will be responsible for providing their own travel and lodging. The exact room within the venue is still being worked out and will be provided in future announcements.

Event Flyer:

ESIPfed