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  <div class="vevent h-event"> <h1 class="summary p-name">DAMA Day 2020: "Data... In SPACE!" with NASA Scientists, sponsored by Snowflake</h1> <div class='date'><time class="dtstart dt-start" title="2020-10-22T08:30:00" datetime="2020-10-22T08:30:00">Thursday, October 22, 2020 from 8:30am</time>–<time class="dtend dt-end" title="2020-10-22T16:00:00" datetime="2020-10-22T16:00:00">4pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202396506'><span class='fn org p-name'>Virtual</span></a> <div class="adr p-adr h-adr"> </div> </div> <div class="description p-description"> <p>Presented by NASA Scientists Sponsored by Snowflake</p> <p>Calling all data enthusiasts and/or space nerds in Portland, Oregon and beyond. Join us for an exciting, all-day virtual event with NASA scientists. Attendees will work with actual NASA data and have an opportunity to collaborate on matters of data analysis directly with our presenters.</p> <p>Opening Remarks: 8:30 AM: DAMA PDX Board</p> <p>Morning Session: 9AM – 11:30 AM: Eric Lyness and Victoria Da-Poian, NASA</p> <p>Eric Lyness is the NASA software and operations lead at Goddard Space Flight Center for the Mars Organic Molecule Analyzer on the ExoMars 2020 rover and Victoria Da-Poian is an Aerospace Engineer. They will present their talk, Machine Learning to Find Life on Mars and Beyond.</p> <p>In 2021 the European ExoMars rover will land on Mars with the Mars Organic Molecular Analyzer (MOMA) laboratory to analyze soil samples searching for past or present life. NASA is developing machine learning algorithms to help the scientists more quickly analyze the data when it arrives from Mars. In this talk, we will present the current work using MOMA mass spectrometer data acquired during ground testing. Using this data we are aiding the scientists by matching new spectra with the most similar spectra from past experiments. We will 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.</p> <p>More details at <a href="https://phys.org/news/2020-06-nasa-life-mars.html">https://phys.org/news/2020-06-nasa-life-mars.html</a>.</p> <p>30 minute Break</p> <p>Lunch Session: 12:00 – 1:00 PM: Snowflake Presentation, Drew Swanson and Brian Whittington</p> <p>30 minute Break</p> <p>Afternoon Session: 1:30 PM – 3:30PM: Details soon!</p> <p>15 minute Break</p> <p>Closing Remarks and Next Steps: 3:45 – 4:00 PM: DAMA PDX Board</p> <p>Times above may be revised in the days before our event.</p> <p>Event will be presented via a Zoom bridge. Analytical discussions and collaboration will be hosted via a Slack workspace 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 via Zepl.</p> <p>Pre-event tasks for analysis setup will be shared on 10/19 via email.</p> <p>Date – Thursday, Oct. 22nd Time – 8:30 – 4:00pm</p> <p>NOTE: This is an all day event</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://damapdx.org/2020/10/01/dama-day-2020-data-in-space/">Website</a></li> </ul> </div>