Current Events, Discussions, and Announcements
And the debate continues ... What do you hear, Yanny or Laurel? Here is more background on the issue.
What is Human?: Analytics. More videos at INFORMS O.R. and Analytics Impact
The Security Mirage
What is Big Data?; An alternative view
Edward Snowden Interview
A new Networking event- A Hands On Introduction to Design Thinking Seminar at CORTEX. Registration is at online. More information can be found there as well.
After Cambridge Analytica, Privacy Experts Get to Say ‘I Told You So’
The questionnaire about meaning of words we discussed last week is now available.
Ms. Meyer's talk
The Hopper blog from the last few years is now available.
April 11 Mark Zuckerberg Testimony
International Issues in Systems Analysis
|The Grace Hopper Celebration of Women in Computing, held each Fall, is the world’s largest gathering of women technologists. This three-day conference brings together women in computing and male-advocates of women in computing to discuss research, employment opportunities, and careers. The conference includes presentations on a variety of topics, professional development activities, an open source day, and more. This year, the conference will be September 26-28 in Houston. Last year there were over 16,000 participants; we anticipate larger crowds this year.
The last couple of years, the UMSL IS Department provided funding for eight - to - ten students to attend Hopper. A successful crowd-funding event provided the funding for the trip in previous years. The Department intends to run a crowd-funding event again this year and hopes we will be able to provide funding for more students to attend the conference this year!
We are transparent to our donors about the opportunities they provide. Selected students will participate in the crowd-funding efforts and document their experiences through blogging and social media posts.
If you are interested in attending the Hopper Conference, please complete the form at http://umsl.edu/go/ghc by April 27. All questions on the form must be completed. If you have any questions about it, you should email Dr. Sauter at the email@example.com or call her at 314-516-6281.
You can learn about Hopper at https://ghc.anitab.org/2018-student-academic/.
American Express Kept a (Very) Watchful Eye on Charges
The Rise of Big Data
Watson at Jeopardy
More about Decision Making: Cognitive Diversity Helps Teams Solve Problems Faster
15 Stunning Data Visualizations (And What You Can Learn From Them)
Politics & Analytics: The election that confounded everybody
Probability Management: Rolling up operational risk at PG&E
Even Imperfect Algorithms Can Improve the Criminal Justice System - The New York Times
The New York Times
Sam Corbett-Davies; Sharad Goel; Sandra Gonzalez-Bailon
December 20, 2017
|Researchers note computer algorithms that U.S. judges increasingly use to determine whether defendants awaiting trial must pay bail or can be released without payment are helping to combat bias and arbitrariness in human decisions. These algorithms provide scores rating a defendant's risk of skipping trial or committing a violent crime if released, bringing a modicum of consistency and evenhandedness to the process. Experiments also have demonstrated the programs' utility in informing sentencing decisions, with one study finding officers could cut back their supervision of individuals deemed low risk without increasing rates of recidivism. These and other examples show concerns of algorithms exacerbating the biases of their creators are mostly unfounded, as long as they are well designed. To avoid biased data's corruption of statistical judgments, the researchers recommend against estimating risk of arrest instead of risk of commission of a crime, and urge following the best statistical practices that avoid unequally predictive risk factors across groups. Full article.|
Graduate Students: Approved paper topics.
Each student must select a topic from the above list and have it approved. Other topics must be approved asap.
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