Jennifer M. Logg, Ph.D.
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Theory of Machine Book Chapter
The Psychology of Big Data: Developing a “Theory of Machine” to Examine Perceptions of Algorithms 

The Psychology of Big Data

The course I created in Spring 2019 is now part of
Georgetown's Master of Science in Business Analytics
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Examine big data and data analytics
from a psychological perspective.  
Course Description:
“Big data” is changing the way organizations function and the way individuals make decisions.  Thus, we need to re-examine what we know about organizational behavior and decision-making.  How will you leverage big data to solve important organizational issues?

A greater focus on collecting and analyzing massive amounts of data means that decision-makers are inundated with information.  How can decision-makers critically assess results and, in turn, clearly communicate insights from big data to different audiences?  This class focuses on the following themes:
  • How can we leverage lessons from big data to solve existing organizational issues/problems?
  • What new organizational issues are caused by the rise of big data?
  • How can technical and non-technical work colleagues collaborate to solve organizational problems using analytical insights?​

To request the syllabus, please email.
​
Connect with others interested in this topic
​in my new  LinkedIn interest group!


Students from my Spring 2019 class in the Harvard Extension Program
​proposed solutions to organizational problems using big data. 
​
​Listed below are select proposals with
independent variables (IVs) used to predict
key outcomes, dependent variables (DVs).

If you are interested in any of this work, some people are already collecting data. 
I'm happy to connect you with them.


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  • Home
  • Research
  • Papers
  • Psychology of Big Data
  • Logg Lab
  • Press