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June 2016

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"Chemical Engineers in Computing and Systems Technology, AIChE" <[log in to unmask]>
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From:
"Chiang, Leo (H)" <[log in to unmask]>
Date:
Mon, 13 Jun 2016 17:38:52 +0000
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Dear CAST Colleagues,



  I want to draw your attention to the Big Data and Process Safety conference sponsored by AIChE, CCPS, and EPSC.   Please consider submitting an abstract before the deadline of June 30.  Thanks.





Regards,



Leo

on behalf of the conference planning committee





Leo Chiang, Ph.D.
Associate Technology Director

Chemometrics and Data Analytics
Analytical Tech Center
The Dow Chemical Company
2301 Brazosport Blvd., B-1819
Freeport, TX 77541
phone: 979-238-5377
fax: 979-238-0336

http://www.dow.com/about/images/olympics/composite_logo.gif<http://www.dow.com/>



2014-2016 AIChE CAST Director

2016 AIChE Annual Meeting: CAST 10E Chair

2015-2017 AIChE Spring Meeting: Big Data Analytics Topical Chair

2017 AIChE Spring Meeting: Meeting Program Co-Chair

2018 AIChE Spring Meeting: Meeting Program Chair

















From: CCPS & EPSC [mailto:[log in to unmask]]
Sent: Friday, June 03, 2016 1:32 PM
To: Chiang, Leo (H)
Subject: CCPS & EPSC European Conference on Process Safety and Big Data, Call for Abstracts is Now Open



 View our online version here or mobile<http://www.mmsend36.com/link.cfm?r=646835175&sid=97552154&m=12986822&u=AICHE&j=33990028&s=http://www.magnetmail.net/actions/email_web_version.cfm?recipient_id=646835175&message_id=12986822&user_id=AICHE&group_id=3240183&jobid=33990028>

 <http://marketing.aiche.org/2914_16_CCPS_EPSC_PS_CFA_Creative_Input_R2/images/ccps.jpg>

header<http://www.mmsend36.com/link.cfm?r=646835175&sid=97596766&m=12986822&u=AICHE&j=33990028&s=http://www.aiche.org/ccps/conferences/ccps-european-congress-on-process-safety/2016>


Dear member of the Process Safety and Big Data communities:

We are pleased to announce a conference devoted to Process Safety and Big Data. This conference is jointly sponsored by the Center for Chemical Process Safety [CCPS] and European Process Safety Center [EPSC], meeting in Frankfurt am Main, Germany from October 5-6, 2016. Big Data in relation to Process Safety is an important emerging subject that can deliver exceptional value to our key stakeholders. We invite both Process Safety and Big Data practitioners to submit abstracts by June 30, 2016, for this unique conference.

This event will serve as a common platform that brings together our key stakeholders - industry, academia, governmental regulatory agencies and labor organizations, to lead the way in improving industrial process safety and achieving process safety excellence.

Submitted abstracts should be relevant to the areas below:

*       Latest concepts and models of Big Data
*       Big Data in Action - demonstrate how Big Data has been successfully applied outside of Process Safety (including aviation industry) as an aspirational model conveying the utility of the concept
*       Big Data, what is it and why it is important for the Process Industry?
*       Big Data applications for Stable Operations
*       Big Data application to Process Optimization or Improving Plant Reliability and Integrity
*       Big Data application to Leading and Lagging Metrics and improving Process Safety Performance
*       Hazard Risk Assessment and Audit Improvements using Big Data
*       Improving the investigation of process safety incidents using Big Data
*       Preventing Human Error in Process Safety by implementing Big Data Sources
*       Combining data (not only 'big' data) from different 'silos' for the purpose of predictive indicators of Process Safety and Plant Reliability
*       Using data from Distributed Control Systems, Maintenance, Inspections, Small Incidents, etc. to promote process safety and operating excellence

Please submit your abstract to [log in to unmask]<mailto:[log in to unmask]>.

We look forward to your submission(s).

Shakeel H. Kadri
Executive Director, CCPS

Hans Volkmar Schwarz
Vice President Process & Occupational Safety
BASF GroupEPSC Board Member






(c) 2016 AIChE 2914_16 * 06.16



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