For over 30 years, SIOP has been conducting a salary survey every 3 years to examine the income and employment of its members. In order for the 2019 salary survey efforts to provide the most accurate and valuable information for the membership, we need members to fill out the survey! Be on the lookout for an email with the information about the completing the survey in early October 2019.

The results of each survey effort are consistently provided in a detailed report accessible to members (e.g., Poteet, Parker, Herman, DuVernet, & Conley, 2017) and are often the subject of additional publications (e.g., Parker, Wiggins, Richard, Wright, Davison, & DuVernet, 2018). These reports summarize descriptive and other analyses designed to understand the factors that impact income, including highest degree obtained, tenure, and employment sector (e.g., academic vs. practitioner, internal vs. external practitioner, etc.) as well as other pertinent demographic variables (e.g., gender, age, geographic location).

Each year at the Annual Conference, SIOP inducts a class of Society Fellows. This honor is bestowed on  SIOP Members who have made meaningful, sustained, and unusual contributions to the field and who have at least 10 years of professional membership in SIOP, including the previous 2 consecutive years.

If that describes one of your heroes, mentors, or role models, and you are a Member or Fellow, please consider nominating them for this prestigious honor.

In the last week of September, the Social, Behavioral, and Economic Directorate (SBE) at the National Science Foundation announced the repositioning of some of its basic research programs.

The repositioning is intended to allow the SBE to better meet several objectives including responding to new areas of scientific inquiry; communicating the value of basic scientific research; and connecting basic research plans to national priorities.

Richard Landers issued a challenge to I-O psychologists to step out of their workplace silos during his #SmarterWorkplace interview with Colin Omori on AI and Machine Learning.

He said, “’there is this unique, interesting stuff coming out of these new, modern prediction methods, and we need to figure out how to make that our own.’ If we don’t do that, then the data science/computer science communities will do it instead; they’re not going to have our values, and they’re going to run away with the farm, so to speak.”

The CARMA Webcast Lecture Series was established in 2004 and continues as an annual event consisting of 10 live webcast lectures presented by nationally recognized methodologists. Dr. Paul Bliese led off this season’s events with a September 6 talk on panel data.