Albuquerque
AI Assisted Icon
Published on October 14, 2019
4 ways to enjoy your week in AlbuquerquePhoto: nikldn/Unsplash

Looking for something to do this week? From a Lunch and Learn to networking event, here's a rundown of options to help you get off the couch and out into the world.

Hoodline offers data-driven analysis of local happenings and trends across cities. Links included in this article may earn Hoodline a commission on clicks and transactions.


Lunch and Learn

From the event description:

Join Tenable and Aquila for this educational briefing to learn how Predictive Prioritization enables you to zero in on remediating the vulnerabilities that matter most and reduce your cyber exposure gap by translating raw vulnerability and threat intelligence data into business insights. 

When: Tuesday, Oct. 15, 11:30 a.m.-1 p.m.
Where: Oso Grande, 725 Sixth St. NW
Admission: Free
Click here for more details, and to get your tickets

Distinguished Lecture Series

From the event description:

Speaker Stephen Younger from Sandia Labs will discuss how treaties succeeded in their near-term objectives but failed to prevent the Second World War. 

When: Tuesday, Oct. 15, 6-9 p.m.
Where: UNM Division of Continuing Education, 1634 University Blvd., NE
Admission: Free
Click here for more details, and to get your tickets

'The Office' Trivia

From the event description:

Take a break from being The World's Best Boss to prove you know the most about the Dunder Mifflin family. Prizes will be awarded in lieu of Dundees.

When: Wednesday, Oct. 16, 7-9 p.m.
Where: The Salt Yard - East, 6001 Osuna Road NE
Admission: Free
Click here for more details, and to get your tickets

Research Spotlight Forum: Grid Resiliency

From the event description:

Check out this collaborative networking and learning event between SNL faculty, staff, students and research universities.

When: Thursday, Oct. 17, 1-5 p.m.
Where: Lobo Rainforest, 101 Broadway Blvd. NE
Admission: Free
Click here for more details, and to get your tickets


This story was created automatically using local event data, then reviewed by an editor. Click here for more about what we're doing. Got thoughts? Go here to share your feedback.