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DTSTART;VALUE=DATE:20230101
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BEGIN:VEVENT
DESCRIPTION:Date: Wednesday 28th April 2021\nTime: 16:00 - 17:00 GMT\nSpeak
ers: \;Zachary Skrivanek\, (Lilly)\n\nWho is this event intended for?&
nbsp\;This event is intended for people who create data visualizations as
well as customers who work with data visualization developers to make thei
r data come to life. \; \;\nWhat is the benefit of attending? 
\;This is a fun event where the audience will participate and become part
of an experiment using polls and quick exposure to images (~250 millisecon
ds) to validate some of the principles taught in this course. \; This
event will benefit data visualization developers and customers by teaching
them how to leverage gestalt principles and pre-attentive processing in s
electing aesthetics to maximize the effectiveness of their data visualizat
ions. \; \;\nRegistration\nYou can now register for this event. Th
is event is free of charge to both Members and Non-Members of PSI. \;\
nTo register for the session\, please click here.\nOverview\nThe visual co
rtex can recognize certain &ldquo\;targets&rdquo\; and &ldquo\;borders&rdq
uo\;\, based on variations in visual cues such as shape and color\, within
250 milliseconds\; this is called pre-attentive processing. This is faste
r than it takes to become conscious of the image. \; When combining vi
sual cues\, conjunctive visual cues\, the pre-attentive qualities are gene
rally lost. \; We will illustrate these concepts through an empirical
experiment with the audience. The audience will be expected to participate
and identify targets and borders within 250 milliseconds. \; We will
cover what types of visual cues are conducive to pre-attentive processing
and how to incorporate these concepts in your data visualizations. Similar
ly\, the study of gestalt principles from psychology\, seeing meaning in a
purposeful arrangement of design elements\, can be leveraged for effectiv
e data visualizations. We will also discuss the hierarchies of perception
and how this applies to data visualization.\nSpeaker details\n\n\n\n \n
\n \n \n Zachary Skrivanek\n
\n \n Dr. Skrivanek graduated with a Ph.D. in
biostatistics from Ohio State University and a B.S. from Cornell Universi
ty\, where he studied exploratory data analysis under Professor Velleman\,
a proté\;gé\; of John W. Tukey\, who invented a number of sta
tistical graphics including the box plot. \; He joined Eli Lilly in 20
02 where he contributed to the development of endocrine-related medicines
and related biomarkers in early clinical phase drug development. \; He
later transitioned to a product team in late phase clinical development a
s the lead statistician and developed and successfully implemented an inno
vative Bayesian adaptive\, seamless phase 2/3 study which selected the dos
es for the entire program utilizing a clinical utility index. \; Dr. S
krivanek heavily leveraged data visualization to communicate the operating
characteristics of the design as well as the results of the study. \;
\n He is currently leading an effort to make visual analytics
and good data visualization practices in general an integral part of drug
development at Eli Lilly and the industry in general. \; He is involve
d in a number of external collaborations focused on advancing drug develop
ment through visual analytics including co-leading a subproject in PHUSE\,
on &ldquo\;Interactive Data Visualizations for Decision Making in Submiss
ions&rdquo\;\, and contributing to an ASA-DIA working group on interactive
safety graphics and an organizing member on a PSI (Statistics in the Phar
maceutical Industry) Special Interest Group (SIG) which hosts a monthly ev
ent\, &ldquo\;Wonderful Wednesdays&rdquo\; where members are given data vi
sualization challenges that they must solve for the following month and th
e solutions are critiqued by the panel based on good data visualization pr
inciples. \;\n  \;\n \n \n \n\n&nb
sp\;
DTEND:20210428T170000Z
DTSTAMP:20240328T203935Z
DTSTART:20210428T160000Z
LOCATION:
SEQUENCE:0
SUMMARY:PSI VisSIG Webinar: Rapid Insights to Data
UID:RFCALITEM638472551755130432
X-ALT-DESC;FMTTYPE=text/html:Date: Wednesday 28th April 20
21
\nTime: 16:00 - 17:00 GMT
\nSpeakers
: \;Zachary Skrivanek\, (Lilly)
\n
\n
strong>Who is this event intended for? \;This ev
ent is intended for people who create data visualizations as well as custo
mers who work with data visualization developers to make their data come t
o life. \; \;
\nWhat is the benefit of attending?&nbs
p\;This is a fun event where the audience will participate and be
come part of an experiment using polls and quick exposure to images (~250
milliseconds) to validate some of the principles taught in this course.&nb
sp\; This event will benefit data visualization developers and customers b
y teaching them how to leverage gestalt principles and pre-attentive proce
ssing in selecting aesthetics to maximize the effectiveness of their data
visualizations. \; \;
\n
You can now
register for this event. This event is free of charge to both Members and
Non-Members of PSI. \;
\nTo register for the session\, please click here.
The visual cortex can recognize certain &ldquo\;targets &rdquo\; and &ldquo\;borders&rdquo\;\, based on variations in visual cues such as shape and color\, within 250 milliseconds\; this is called pre-att entive processing. This is faster than it takes to become conscious of the image. \; When combining visual cues\, conjunctive visual cues\, the pre-attentive qualities are generally lost. \; We will illustrate thes e concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 2 50 milliseconds. \; We will cover what types of visual cues are conduc ive to pre-attentive processing and how to incorporate these concepts in y our data visualizations. Similarly\, the study of gestalt principles from psychology\, seeing meaning in a purposeful arrangement of design elements \, can be leveraged for effective data visualizations. We will also discus s the hierarchies of perception and how this applies to data visualization .
\n\n
| \n \n Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University\, where he s tudied exploratory data analysis under Professor Velleman\, a proté\ ;gé\; of John W. Tukey\, who invented a number of statistical graphi cs including the box plot. \; He joined Eli Lilly in 2002 where he con tributed to the development of endocrine-related medicines and related bio markers in early clinical phase drug development. \; He later transiti oned to a product team in late phase clinical development as the lead stat istician and developed and successfully implemented an innovative Bayesian adaptive\, seamless phase 2/3 study which selected the doses for the enti re program utilizing a clinical utility index. \; Dr. Skrivanek heavil y leveraged data visualization to communicate the operating characteristic s of the design as well as the results of the study. \; \nHe is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug developm ent at Eli Lilly and the industry in general. \; He is involved in a n umber of external collaborations focused on advancing drug development thr ough visual analytics including co-leading a subproject in PHUSE\, on &ldq uo\;Interactive Data Visualizations for Decision Making in Submissions&rdq uo\;\, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutic al Industry) Special Interest Group (SIG) which hosts a monthly event\, &l dquo\;Wonderful Wednesdays&rdquo\; where members are given data visualizat ion challenges that they must solve for the following month and the soluti ons are critiqued by the panel based on good data visualization principles . \; \n \; \n | \n
 \;
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