Current Events in DSS

Decision Support Systems
Current Events, Discussions, and Announcements

Statistics for people in a hurry

Daily Decisions Based on Data: Data Driven Life

Analytics and Sports: The Electronic Coach

The exam

The Simple Genius of a good graphic

3 Ways to Make Better Decisions

One simple reason we aren't acting faster on climate change

More Presentations

HCI

Business Intelligence

Hadoop

Data Governance

Presentations

Customs

Immigration to the U.S.

This is eligible for networking credit.

RESCHEDULED!
The EQ Pitch is on! Thursday, November 29th at 5pm at ABH in the US Bank Room

The EQ Pitch is on! Thursday, November 15th at 5pm at ABH

And the debate continues ... What do you hear, Yanny or Laurel? Here is more background on the issue.

The Mark Zuckerberg vs. Ted Cruz

Even Imperfect Algorithms Can Improve the Criminal Justice System - The New York Times

More about security

The Security Mirage

What is Big Data?; An alternative view

Edward Snowden Interview

Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women As seen in Reuters, by Jeffrey Dastin, October 9, 2018.

Amazon has discontinued an artificial intelligence recruiting tool its machine learning specialists developed to automate the hiring process because they determined it was biased against women. Starting in 2014, a group of Amazon researchers created 500 computer models focused on specific job functions and locations, training each to recognize about 50,000 terms that showed up on past Amazon job candidates' resumes. However, because most resumes submitted to Amazon had come from men, the models tended to favor candidates who described themselves using verbs more commonly found on male engineers' resumes, such as "executed" and "captured." In addition, the program penalized resumes that included the word "women's" and downgraded graduates of two all-women's colleges. Although Amazon declined to comment on the technology's issues, the company said the tool was “never used by Amazon recruiters to evaluate candidates.” The Full Article.

Presentations

Customs

Immigration to the U.S.

Visualization Recommendations

A Comprehensive Guide to the Grammar of Graphics for Effective Visualization of Multi-dimensional Data

The Art of Effective Visualization of Multi-dimensional Data

15 Stunning Data Visualizations (And What you can Learn from Them)

Big Data

Graphs by MIT Students Show the Enormously Intrusive Nature of Metadata

Enron Offers an Unlikely Boost to E-Mail Surveillance

Universities Rush to Roll out Computer Science Ethics Courses

Governenance

What is Data Governance

Data Governance is the exercise of decision-making and authority for data-related matters

Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.

Includes organizational bodies, rules (standards, policies, etc.), decision rights, accountabilities and enforcement methods

What are the Goals and Principles?

Enable better decision-making

Reduce operational friction

Protect the needs of data stakeholders

Train management and staff to adopt common approaches to data issues

Build standard, repeatable processes

Reduce costs and increase effectiveness through coordination of efforts

Ensure transparency of processes

Universal Data Governance Principles

Integrity

Transparency