Jump to content

Search the Community

Showing results for tags 'decision making'.

  • Search By Tags

    Type tags separated by commas.
  • Search By Author

Content Type


Forums

  • Instructions and Terms of Use
    • Terms Of Use
    • Before You Register, Before You Post, Instructions for Writing Your Question
  • Contracting Forum
    • What Happened?
    • Polls
    • For Beginners Only
    • About The Regulations
    • COVID-19 And Its Effect on Contracting
    • Contracting Workforce
    • Recommended Reading
    • Contract Award Process
    • Contract Pricing Including CAS & Allowable Costs
    • Contract Administration
    • Schedules, GWACS, MACs, IDIQs
    • Subcontracts & Subcontract Management
    • Small Business, Socioeconomic Programs
    • Proposed Law & Regulations; Legal Decisions

Blogs

  • The Wifcon Blog
  • Don Mansfield's Blog
  • Government Contracts Blog
  • Government Contracts Insights
  • Emptor Cautus' Blog
  • SmallGovCon.com
  • The Contractor's Perspective
  • Government Contracts Legal Forum
  • NIH NITAAC Blog
  • NIH NITAAC Blog

Calendars

  • Community Calendar

Product Groups

There are no results to display.

Categories

  • Rules & Tools
  • Legal Opinions
  • News

Find results in...

Find results that contain...


Date Created

  • Start

    End


Last Updated

  • Start

    End


Filter by number of...

Joined

  • Start

    End


Group


AIM


MSN


Website URL


ICQ


Yahoo


Jabber


Skype


Location


Interests

Found 1 result

  1. On my way into work this morning, NPR aired a segment on making better predictions (http://www.npr.org/2016/09/01/492203116/want-to-make-better-predictions-researchers-explore-where-we-go-wrong). The research (http://repository.upenn.edu/edissertations/1074/) was focused on predicting sporting events and in cases where more details were given or required to be assessed, individuals made (some) worse predictions. Disclaimer: I haven't completely read the dissertation (it's an EOFY work day and the dissertation is 200+ pgs...), but I couldn't help sharing due to its applicability to the contractor selection process, which is ultimately a predictive process itself. Assuming these issues/difficulties are also present in the contractor selection process, the large amounts information/data requested from contractors could not only be wasteful (in that it doesn't help the acquisition team make a better decision team) it might actually be harmful (in that it results in a worse prediction). Thoughts?
×
×
  • Create New...