BEGIN:VCALENDAR PRODID;X-RICAL-TZSOURCE=TZINFO:-//Calagator//EN CALSCALE:GREGORIAN X-WR-CALNAME:Calagator METHOD:PUBLISH VERSION:2.0 BEGIN:VTIMEZONE TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20200308T020000 RDATE:20200308T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20201002T173952Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20201022T160000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20201022T083000 DTSTAMP;VALUE=DATE-TIME:20201002T173952Z LAST-MODIFIED;VALUE=DATE-TIME:20201002T180606Z UID:http://calagator.org/events/1250477355 DESCRIPTION:Presented by NASA Scientists \;\nSponsored by Snowflake 3\;\n \;\nCalling all data enthusiasts and/or space nerds in Portland \, Oregon and beyond. Join us for an exciting\, all-day virtual event wi th NASA scientists. Attendees will work with actual NASA data and have a n opportunity to collaborate on matters of data analysis directly with o ur presenters. \;\n \;\nOpening Remarks: 8:30 AM: DAMA PDX Board&# 13\;\n \;\nMorning Session: 9AM – 11:30 AM: Eric Lyness and Victoria Da-Poian\, NASA \;\n \;\nEric Lyness is the NASA software and oper ations lead at Goddard Space Flight Center for the Mars Organic Molecule Analyzer on the ExoMars 2020 rover and Victoria Da-Poian is an Aerospac e Engineer. They will present their talk\, Machine Learning to Find Life on Mars and Beyond. \;\n \;\nIn 2021 the European ExoMars rover w ill land on Mars with the Mars Organic Molecular Analyzer (MOMA) laborat ory to analyze soil samples searching for past or present life. NASA is developing machine learning algorithms to help the scientists more quick ly analyze the data when it arrives from Mars. In this talk\, we will pr esent the current work using MOMA mass spectrometer data acquired during ground testing. Using this data we are aiding the scientists by matchin g new spectra with the most similar spectra from past experiments. We wi ll present the nuances of mass spectra\, our limitations with respect to data\, and our approach to the problem. We hope to elicit feedback from the attendees. \;\n \;\nMore details at https://phys.org/news/202 0-06-nasa-life-mars.html. \;\n \;\n30 minute Break \;\n \;\n Lunch Session: 12:00 – 1:00 PM: Snowflake Presentation\, Drew Swanson an d Brian Whittington \;\n \;\n30 minute Break \;\n \;\nAftern oon Session: 1:30 PM – 3:30PM: Details soon! \;\n \;\n15 minute Br eak \;\n \;\nClosing Remarks and Next Steps: 3:45 – 4:00 PM: DAMA PDX Board \;\n \;\nTimes above may be revised in the days before o ur event. \;\n \;\nEvent will be presented via a Zoom bridge. Anal ytical discussions and collaboration will be hosted via a Slack workspac e that will begin on event day and last for a few weeks afterwards. This is a BYOAE (bring your own analytical environment). However\, attendees will have access to the data via Snowflake and to notebook templates vi a Zepl. \;\n \;\nPre-event tasks for analysis setup will be shared on 10/19 via email. \;\n \;\nDate – Thursday\, Oct. 22nd \;\nT ime – 8:30 – 4:00pm \;\n \;\nNOTE: This is an all day event\n\nTag s: database\, datascience\, training\, education\, snowflake\, space\, n asa\, DAMA\, DAMAPDX\n\nImported from: http://calagator.org/events/12504 77355 URL:https://damapdx.org/2020/10/01/dama-day-2020-data-in-space/ SUMMARY:DAMA Day 2020: "Data... In SPACE!" with NASA Scientists\, sponsor ed by Snowflake LOCATION:Virtual: false SEQUENCE:3 END:VEVENT END:VCALENDAR