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WRM: “Instrumentation-Enabled Analytics”

May 24 @ 1:00 pm - 2:30 pm

Paul Jones
Laboratory for Analytic Sciences

Abstract 

Instrumentation of knowledge worker’s actions on their computers is a key enabler to gaining a continuous and detailed understanding of sensemaking processes and workflows. The data from this instrumentation is starting to enable the development of analytics that could underpin future smart digital assistant technologies. These analytics include activity summarization, task-centric document curation, task-centric recommendations, and automated association of sensemaking artifacts, such as claims and evidence. During his time at the LAS, Paul has been focussed on the Instrumentation, Journaling and Metrology projects – he will describe many of the lessons learned and outcomes from these efforts, as well as potential future research directions.

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WEB/CONFERENCE CALL INFO:
We are going to use the NC State WebEx for the web conference. Please note that this
WebEx belongs to NC State and can not be downloaded directly from Cisco.
Also, it should work on iPhones and iPads via the WebEx App.
A good internet connection is recommended.
For better audio, please join via computer and then have the meeting call your number
or call in directly using one of the numbers below. When not speaking, please mute
your phone to avoid background noise.
When it’s time, join the WebEx meeting from here:
https://wolfmeeting.ncsu.edu/orion/meeting/meetingInfo?MeetingKey=BgAAAGtZi9AO4elpyW3jDHtaWvX3df9-IyEZaJcari0Q71AmSUzjexKwXpjy7tUfcJYfzk2oFa6pMPQ7RLWgWr9NGDWt&frm=page&siteurl=wolfmeeting
Audio Connection: 919-513-9329 (WolfMeeting)
Access Code: 997 998 592

Sponsored by the Laboratory for Analytic Sciences

Details

Date:
May 24
Time:
1:00 pm - 2:30 pm
Event Category:
WRM
Event Tags:
meeting, research, wednesday, WRM

Organizer

Mindy Huffman
Phone:
919-515-6084

Connect With Us

LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.

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