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  • September 2018 Meeting/Webcast: Dan Putka

September 2018 Meeting/Webcast: Dan Putka

  • 09/19/2018
  • 4:15 PM - 6:00 PM
  • McCormick & Schmick's Crystal City


Registration is closed

10,000 Job Analyses Per Hour: A Language-Based Approach to Synthesizing KSA and Interest Ratings

Dan Putka,  Ph.D.

Human Resources Research Organization (HumRRO)

  • Food and wine included on-site.
  • Email questions for the presenter to vp.ptcmw@gmail.com by 12pm ET the day before.
Location: McCormick & Schmick's Crystal City
  • Crystal City Shops, 2010 Crystal Dr, Arlington, VA 22202 (map)
  • Metro Access and Parking Available


Can we train a machine to profile jobs? Yes, we can. In this presentation, I'll share results of an innovative project that applied a blend of natural language processing (NLP) and modern prediction methods to job and task descriptions for purposes of quickly synthesizing KSA and interest ratings for an entire population of jobs. This will be a fun, fascinating, and thought-provoking dive into cutting edge work that aims to breathe new life into job analysis science and practice – best of all, it will be equation-free

Speaker Bio: 

Dan Putka is a Principal Staff Scientist at HumRRO, past President of PTCMW, and a Fellow of APA and three of its Divisions, to include SIOP. Over the past several years he has been presenting and publishing work that evaluates applications of machine learning in I-O science and practice. Dan received his Ph.D. in I-O psychology with a minor in quantitative psychology from Ohio University.

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