Want to learn the latest way to tech super hard? Or are you itching to know where all those awesome computer science ideas from the 60s led to? Come join the international phenomenon that is Papers We Love! We meet every month to share and discuss papers that have been influential in our own lives and learn what has driven others. It's a ton of fun and a great way to meet other paper-minded folks.
The Denver Chapter meets every fourth Thursday of the month at Code Talent.
Papers We Love has a Code of Conduct. Please contact one of the Meetup's organizers if anyone is not following it. Be good to each other and to the PWL community! Chapter Details
Sign-up: Please RSVP for meetings via Meetup.com
Contact: harry AT thoughtfulsoftware DOT com
Organizers: Harry Brumleve, do you want to help? :-) Sponsors Code Talent - They give us a great place to present, pizza, and beer! HyprLoco - They give us beer, too!
Thomas Betts' paper on the need for liberal arts to complement STEM education is a great perspective on how to build amazing products and produce great outcomes for everyone.
Come watch Thomas Betts (principal engineer for IHS Markit, editor for infoq.com and educated as a mechanical engineer) talk about this topic while you eat pizza and drink some beer. :-)
The education of most software engineers involves a heavy focus on STEM subjects: science, technology, engineering, and math. Other subjects, especially those under the umbrella of liberal arts, are often thought of as less important, or just an annoying requirement to graduate. However, much of what helps you become a great software engineer, and create outstanding software that people want to use, comes from outside the world of STE…
**Date change: This meetup's on a Tuesday** Everyone is talking about data visualization. But how do you communicate the question marks, where uncertainty is an important deciding factor? Perhaps the best opportunities are where data are sparse, or where values have been approximated. Kristi Potter, PhD of NREL will show us how to convey this to your audience, talking about her own co-authored paper. Join us January 22. Info about Kristi's work here: https://scholar.google.com/citations?user=uYkNjF8AAAAJ&hl=en
** WE HAVE A SPONSOR! **
Please welcome QCon.ai as our sponsor for this meetup! They are a dedicated AI and machine learning conference for senior software engineers, architects, and technical managers.
They also will be buying us Pizza!!! (Beer is provided by our friends at Code Talent!).
April 15 - 17, 2019
Parc 55 - A Hilton Hotel, San Francisco,…
We're excited to bring you an evening of comedy applied to tech talks: Learn from pro presenters how to explain complex things, engage your audience, and maybe even bring the funny. With awesome meetup partners PitchLab and Domain Driven Design. MONDAY, AUGUST 13.
6:30pm - Beer, snacks, conversation, announcements - thanks to Code Talent for hosting!
6:45pm - PitchLab comedy exercise & presentation workshop: Dropping science-y knowledge with style, grace, and humor (https://www.pitchlab.io/)
7:30pm - Tech Talk Karaoke w/ DTD & PWL meetup members
Is VSUP the new black? We're joining the DDD meetup for a talk on Value Suppressing Uncertainty Palettes. Marcus Carr, software engineer and scientist, will discuss emerging Data Visualization techniques and their impact on human understanding. Plus, free beer! We'll get started @ 6:30PM.
6:30pm - Food & drink + conversation - thanks to Code Talent for hosting!
7:00pm - Announcements
7:05pm - VSUP Talk by Marcus Carr*
~8:30pm - Discussion
*Marcus Carr is a software engineer and recovering PhD biochemist. His scope of work touches on data pipelines, graphy data, and Elasticsearch. He'll be talking about research findings and practical implications for Data Visualization.…
Brian will share a paper that discusses the biological capabilities acquired during the development of human tumors and the organizing principle for rationalizing the complexities of neuroplastic disease.
First published in 2000, and updated in 2011, this is one of the most cited and significant papers in the realm of cancer and has heavily influenced the thinking of a generation of cancer researchers and treating oncologists.
We're really excited to host a paper from such a meaningful area of science and I'm looking forward to applying some examples of their rigor to my own work in frivolous software. ;-)
Please come and take a break from software nerd-dom and enjoy a brief insight into a challenging and impactful field.
Also, there will be pizza and beer. :-)
Josh will talk about Pat Hellands paper and we'll drink beer and eat pizza while he does it. http://adrianmarriott.net/logosroot/papers/LifeBeyondTxns.pdf
Josh is also the organizer of Denver's DDD Meetup group ... check them out, too!
Join us on March 22nd when Thomas discusses the principles of Data Tidying, a small, but important, component of data cleaning that can streamline the process of working with messy data.
All those hip and trendy machine learning algorithms may be cool, but suffer from GIGO - Garbage In, Garbage Out. Data Scientists spend a lot of time cleaning their data so it is ready for analysis.
Just like preparing your guest bathroom before company comes to visit, you're going to have to get your hands dirty. You also don't want to spend any more time cleaning than necessary.
Hear Tracy Allison Altman [@UglyResearch (https://twitter.com/UglyResearch)] talk about a landmark behavioral economics paper, Tversky and Kahneman's Judgment under Uncertainty: Heuristics and Biases (https://people.hss.caltech.edu/~camerer/Ec101/JudgementUncertainty.pdf). Tracy will share how this paper has influenced her work, and what it tells us about bias in algorithms and AI. The authors' insights challenged conventional decision-making, and inspired new approaches to cognitive science, choice architecture, social policy, and software design.…
You don't have to read the paper beforehand ... just show up and take it all in! :-)
Come see Aysylu Greenberg (@aysylu22) talk about one of her favorite papers:
It describes an interesting approach to data replication which allows for finer control over the probability of data loss occurrence and the amount of data loss during such an event. In addition, we'll discuss a technique for moving randomization from runtime to initialization to achieve the same benefits. After the discussion of the paper's contributions, we'll turn to pragmatic aspects of this approach.
Dinner will be provided (sponsors welcome to help out!) and afterwards we'll set out to one(?) of the breweries around the corner.…