Data Analytics Workshop
August 21, 2019
hosted by Rice University
Are you developing data analytics technologies or solutions?
Are you looking for solutions or collaboration partners?
The Technology Collaboration Center will hold a workshop on Data Analytics, hosted by Rice University in Houston, on Wednesday, August 21, with presentations on the latest technology developments or unmet challenges.
This workshop will include presentations across multiple technology sectors, including energy, life sciences, space & manufacturing, which may come from companies, startups, universities, research institutions or government labs.
Presentation topics to be covered at the workshop, include:
- Data Management
- Data Sources
- Data Contextualization
- Data Storage
- Data Governance
- Data Quality
- Data Readiness
- Analytics 101
- Machine Learning & AI
- Types of Analytics
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
- Fairness and Bias in Analytic models
Any organization can request an opportunity to present their latest technology advances or unmet needs related to data analytics.
- 8:00 Networking Breakfast
- 8:30 Welcome & Announcements
- 8:45 Presentation Panel
- 10:30 Networking Break
- 10:45 Presentation Panel
- 12:30 Lunch
- 1:00 TCC Overview & Collaboration Requests
- 1:15 Presentation Panel
- 3:00 Adjourn
TCC workshops are designed to explore potential relationships with others attending the workshop that may have common interests in the workshop topic area.
If your organization is interested in data analytics, please visit the TCC’s website to register for the workshop or request an opportunity to make a presentation.
Tickets for the workshop are $100. TCC Members get a 50% discount. TCC Individual Memberships can be purchased for $150, which includes a ticket to the workshop and discounts on TCC workshops for the next year.
Details on the workshop, including the agenda, presenters, and workshop location will be provided to registered attendees.
Please contact the TCC about submitting a Collaboration Request or for workshop sponsorship opportunities.
Machine Learning for Real-Time Drilling & Real-Time Completion
STRING VisualizeR – A VR Examination of STRING DB, Built-in Unity & Experienced in the HTC Vive
Data Analytics for Drilling Engineering in Oil & Gas
Ecolab* & KBR*:
Data Management to Analytics: Framing the Problem
Ecolab Data Analytics
The Challenges of Building a Data-Driven Organization
Integrative Data Analysis for High-Throughput Genomics: Applications to Diagnostics & Liquid Biopsy
Houston Methodist Cancer Center:
Multi-Modal Deep Learning for Precise Breast Cancer Risk Assessment and Acute Ischemic Stroke Detection
Opportunities & Challenges using Computer Vision
Lessons Learned & a Practical Approach to Deliver Value to Operations from Digital in O&G
Mercury Data Science:
Real-World Case Studies with an Emphasis on Handling Large Data Sets & Detecting Bias
Dash - Delivering Data Science with Analytical Web Apps
Multi-Modal Data Analysis & Modeling for Health, Wellbeing & Performance
Perspectives of Data Analytics for Oil & Gas
Mining & Preparation of Numeric, Text, & Video Data for Drilling Operation
University of Houston*:
Learning with Less Data
University of Pittsburgh:
Development of the MPS-Db for Sharing and Analyzing Data from Human Organ Models
Less Documenting, More Doctoring: Applications of Evidence-Based Data Sets & Predictive Models to Optimize
the Clinical Intake Process
Data Analytics Collaboration Requests:
Any organization can submit a Collaboration Request to the TCC related to data analytics, and have the TCC highlight that request at the workshop and on the TCC's website.
The TCC waives normal program fees for all Collaboration Requests submitted in conjunction with a TCC workshop.
For more information on submitting a Collaboration Request, please contact the TCC.
Workshop Program Committee (*=TCC member)
- Sukumar Pattnaik, Ecolab* - Co-Chair
- Susan Steinberg, KBR* - Co-Chair
- Justin Bautista, NASA Johnson Space Center*
- Marie Contou-Carrere, Rice University*
- Alan Cooper*, Cooper Consulting
- Sam Evetts, Ecolab*
- Linda Ham, NASA Johnson Space Center*
- Gahangir Hossain, Texas A&M-Kingsville*
- Kent Kalogera, KBR*
- David Kelldorf, NASA Johnson Space Center*
- Thomas Lu, Ecolab*
- Andy Mai, Ecolab*
- Rohit Mital, KBR*
- Andrew Peterman, Baylor College of Medicine*
- Rob Reynolds, Baylor College of Medicine*
- Carolina Rio, Shell*
- Susi Zanello, imec USA*