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From the Northeastern Section of the ACS, focusing on career management and development
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10/17/13
Watch-outs. 48. Video-conferencing, “Use of I,” and algorithms for career success
Filed under: Interviewing, Position Searching, Observ. Trends
Posted by: site admin @ 10:28 am

Does controversy prevent you from putting your ideas in the
public domain?  As we know, when we introduce a new or a
counter-intuitive notion, many will criticize or disbelieve.

The key thing is to listen.  Then, think seriously to
devise experiments to test thoughtful hypotheses.  It is
time to fully observe and interrogate from several perspectives.

NEW TREND:  video conferencing growth
More and more virtual video conferencing is a method of
choice for people to get together, just like “drive through”
windows for transactions.  Rachel Nielsen describes business
results, companies involved, and relating it to CERN’s high
level of virtual meetings . 
OBSERVATIONS:  The bigger trend than having meetings is
collaboration at a distance using iPads, handhelds, sharing
data and workscreens on projects
.  This leads to a flurry of
hardware and software solutions to develop needed collaborative
meeting room functionality.
IMPLICATIONS:  Video conferencing is evolving as an
important co-curricular skill for many fields.

CONTROVERSIAL OBSERVATIONS:
1.  “I” reveals your relational status- Pennebaker
E. Bernstein authored a report summarizing Pennebaker’s
work on conversational use of pronouns.  Controversy
surrounds some of the article’s assertions relating to
use of “I” and the “status of the person”.  She offers
that a person who uses “I” less frequently is the higher
status person and can be associated with “hiding the
truth.”  While she does indicate that “mirroring” the
conversation partner is helpful, use the “use of I” in
your self expression while observing verbal and
nonverbal signals in your listeners.
TAKE AWAY:  Different signals are assessed with the use
of “I” in communication.  It is wise to test with a mentor
to see what fits best in different situations and audiences.

2.  Computer models to predict job success using skills,
behaviors and values- Google, Conagra, Avon Products

Rachel King wrote a piece that revealed that a number of
firms have developed algorithms to infer who would be
good hires, who would want to leave a firm and who should
be Fast Tracked for higher positions.
TAKE AWAY:  In the world of “big data”  many computational
studies may be hypothesized and conclusions inferred.  They
are correlational and significant ones that affect people,
future possibilities and long term issues should be specifically
tested and confirmed.  See a series of commentaries.

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