​Holiday Reading

Download Free Chapters from SIOP Organizational Frontiers Series

When you’ve watched all the holiday movies and want to feed your brain something more stimulating than fruitcake and eggnog, dip into a sampler of the best thinking in the field. 

Routledge, publisher of SIOP’s Organizational Frontiers Series, is offering free chapter downloads from five recent series publications, including The Self at Work, Big Data at Work, Understanding the High Performance Workplace, Autonomous Learning in the Workplace and Facing the Challenges of a Multi-Age Workforce.

Agency Offering $100,000 for Workforce Self-Development Tools

The National Science Foundation has extended the deadline for part 1 of its Career Compass Challenge to 11:59 pm ET on January 7, 2019.

The NSF recognizes that, “The future of work is one of continuous change, which depends on a culture of continuous learning.” Therefore, the challenge is intended to develop tools allowing employees to match their skills and interests to work opportunities, and to train for those opportunities, as part of the NSF’s effort to help modernize the American workforce.

SIOP Members Approve Bylaws Amendment

Voting members of SIOP just approved a bylaws amendment to shorten the voting timeframes for electronic votes by the Executive Board and its Emergency Action Committee (EAC). Voting closed at midnight on the morning of January 2, 2019.

The amendment was approved for a vote by the Executive Board at its September 2018 meeting and was intended to allow for a more expeditious process to help SIOP keep up with the pace of technology and decision making.

​Using R to Work With Big Data and Web Scraping

Flexibility is just one of the very good reasons R has been widely embraced in scientific and analytical disciplines.  Not only is it useful for classic statistical applications, but the R programming environment is also well suited for exploratory data research—data mining and analytics

Reserve your seat now in one of the Short Courses on R, January 10-12, 2019 at the University of South Carolina to learn a new data analysis skill for the new year.