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Workshop on Social and Business Analytics

Date: April 29, 2016
Location: AT&T Executive Education and Conference Center
Registration: Workshop on Social and Business Analytics

The 2016 McCombs School Workshop on Social and Business Analytics will bring together cutting edge researchers and industry professionals to present, discuss, and debate emerging themes, methods, and practices. Topics will include healthcare analytics, Internet of things and real time analytics, predictive models and metrics for unstructured data, oil and gas analytics, and consumer privacy and market for information in the era of big data.

Speakers' and participants' affiliations include Carnegie Mellon University, Dell, Google, IBM, Microsoft Research, OAG Analytics, Spredfast, Stanford University, University of Arizona and many more.

Summary

Leaders in the field will share their insights and experiences on:
  • Using social media to know customers
  • Using social and mobile platforms for advertising
  • Understanding value of social media for marketing and customer engagement
  • Policies and direction for information use and exchange
  • Analyzing big data for decision making

Interested attendees will be involved in:

  • Developing social media strategies for their corporations
  • Evaluating mobile platform for increasing customer reach
  • Leading data analytics for improved decision making
  • Academic research on social media and data analytics
  • Policy making

Agenda

WSBA 2016 - Agenda

Time Track I
Track II
7:15 - 8:15 am
Registration, Rm 204
Registration, Rm 204
7:30 - 8:15 am
Breakfast - Tejas Cafe
Breakfast - Tejas Cafe
8:15 - 8:30 am
Dean's Welcome, Rm 204 Dean's Welcome, Rm 204
8:30 - 9:15 am
Academic Keynote I - Rm 204
Ramayya Krishnan, Carnegie Mellon University
Academic Keynote I - Rm 204
Ramayya Krishnan, Carnegie Mellon University
9:15 - 10:45 am

Healthcare Analytics - The cutting edge
Rm 204     

Chair: Rajiv Garg, UT Austin

Speakers
Sudha Ram, University of Arizona
Maytal Saar-Tsechansky, UT Austin
Eric Zheng, University of Texas at Dallas

Predictive Modeling  - Best practices in various industries
Rm 202
Chair: Anitesh Barua, UT Austin

Speakers
Gaurav Kataria, Google
Vic Hughes, OAG Analytics
Balaji Padmanabhan, University of South Florida
10:45 - 11:00 am
Coffee Break
Break
11:00 - 12:30 pm
Social Media Analytics I - Novel applications
Rm 204
Chair:
Sirkka Jarvenpaa, UT Austin

Speakers
Sharique Hasan, Stanford University
Chris Kerns, Spredfast
Ram Chellappa, Emory University
Social Media Analytics II - Metrics
Rm 202
Chair: Prabhudev Konana, UT Austin

Speakers
Jason Baldridge, People Pattern, UT Austin
Tad Turpen, NarrativeDx
Sam Ransbotham, Boston College
12:30 - 1:15 pm
Lunch - Tejas Cafe
Lunch - Tejas Cafe
1:15 - 1:55 pm
Industry Keynote - Rm 204
Matt Laessig, COO and Co-founder, Data.World, HomeAway
Your Open Data Wants to be Linked Data
 Industry Keynote - Rm 204
Matt Laessig, COO and Co-founder, Data.World, HomeAway
Your Open Data Wants to be Linked Data
2:00 - 2:45 pm
Academic Keynote II - Rm 204
Hsinchun Chen, University of Arizona
The Hacker Web Project: Exploring the Dark Side of the Web
Academic Keynote II - Rm 204
Hsinchun Chen, University of Arizona
The Hacker Web Project: Exploring the Dark Side of the Web
2:45 - 3:30 pm
Panel I - Healthcare analytics
Rm 204

Moderator: Maytal Saar-Tsechansky, UT Austin

Panelists
Thomas (Tate) Erlinger, Seton Health Alliance
Sudha Ram, University of Arizona
Eric Zheng, University of Texas at Dallas
Panel II (IoT analytics)
Rm 202
Moderator:
Sam Ransbotham, Boston College

Panelists
Ed Healy, RF Code
Victor Sauers, TKO Energy Capital
Ramesh Sharda, Oklahoma State University
3:30 - 3:45 pm
Coffee Break
Coffee Break
3:45 - 4:15 pm
Information Sharing in Networks
Rm 204
Jake Hofman, Microsoft Research
Internet of Things (IoT) analytics
Rm 202
Shepherd Shi, IBM
4:15 - 5:15 pm
Student research poster, happy hour & networking
Amphitheater Patio
Student research poster, happy hour & networking
Amphitheater Patio

Speakers

Academic Keynote Speakers

  • Hsinchun Chen, Ph.D.; Arizona Regents' Professor, Thomas R. Brown Chair Professor in Management and Technology, University of Arizona; Director, Artificial Intelligence Lab; Fellow, ACM, IEEE, AAAS
    Dr. Hsinchun Chen graduated with BS at the National Chiao-Tong University (Taiwan), MBA at SUNY Buffalo, and MS and Ph.D. at New York University. He is the University of Arizona Regents' Professor and Thomas R. Brown Chair Professor in Management and Technology. He is also a Fellow of ACM, IEEE and AAAS. Dr. Chen recently served as the lead Program Director of the Smart and Connected (SCH) Program at the NSF (2014-2015), a multi-year multi-agency health IT research program of USA. He is author/editor of 20 books, 280 SCI journal articles, and 150 refereed conference articles covering digital library, data/text/web mining, business analytics, security informatics, and health informatics. His overall h-index is 81 (22,000 citations for 840 papers according to Google Scholar). Dr. Chen founded the Artificial Intelligence Lab at the University of Arizona in 1989, which has received more than $40M in research funding from NSF, NIH, NLM, DOD, DOJ, CIA, DHS, and other agencies (90 grants, 40 from NSF). He has served as Editor-in-Chief of major ACM/IEEE, and Springer journals and conference/program chair of major ACM/IEEE/MIS conferences in digital library, information systems, security informatics, and health informatics. He is also a successful IT entrepreneur. His COPLINK/i2 system for security analytics was commercialized in 2000 and acquired by IBM as its leading government analytics product in 2011. Dr. Chen has served as an advisor to major federal research programs and was a Scientific Counselor of the National Library of Medicine (USA), National Library of China, and Academia Sinica (Taiwan). He is a visiting chair professor at several major universities in China (Tsinghua University) and Taiwan (National Taiwan University). He is internationally renowned for leading the research and development in the health analytics (data and text mining; health big data; DiabeticLink and SilverLink) and security informatics (counter terrorism and cyber security analytics; security big data; COPLINK, Dark Web and Hacker Web) communities. See: http://ai.arizona.edu/hchen
  • Dr. Ramyya Krishnan is the W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at the H. John Heinz III College and the Department of Engineering and Public Policy at Carnegie Mellon University. A faculty member at CMU since 1988, Krishnan was appointed Dean when the Heinz College was created in 2008. He was reappointed upon the completion of his first term as Dean in 2014.
    Krishnan was educated at the Indian Institute of Technology and the University of Texas at Austin. He has a Bachelor's degree in mechanical engineering, a Master's degree in industrial engineering and operations research, and a PhD in Management Science and Information Systems. Krishnan's research interests focus on consumer and social behavior in digitally instrumented environments. His work has addressed technical, policy and business problems that arise in these contexts and he has published extensively on these topics. He has served as Department Editor for Information Systems at Management Science, the premier journal of the Operations Research and Management Science Community. Krishnan is an INFORMS Fellow, a member of the Global Agenda Council on Data Driven Development of the World Economic Forum, and a former President of the INFORMS Information Systems Society and the INFORMS Computing Society. He is the recipient of the prestigious Y. Nayuduamma award in 2015 for his contributions to telecommunications management and business technology. Krishnan was a co-leader of the recently concluded strategic planning exercise at CMU focusing on the transformative CMU experience for students, faculty and staff.
    Krishnan's government service include his current work on the IT and Services Advisory Board chaired by Gov. Tom Wolf of the State of Pennsylvania. He has served as an Information Technology and Data Science expert member of multiple US State Department Delegations and briefed ICT ministers of ASEAN in October 2014 on big data technology and policy.
    Krishnan's leadership experience include his founding of the information systems and management program at Carnegie Mellon and his term as the First Dean of the Heinz College, a unique college that is home to both the Public Policy School and Information Systems School at Carnegie Mellon. This unique co-location of information technology, public policy and management brings together a multi-disciplinary faculty consisting of data scientists, social scientists, engineers and information technologists dedicated to educating “men and women of intelligent action.” Faculty and students address important societal issues increasingly being transformed via developments in information technology in domains such as information privacy and intellectual property, health care delivery and health care markets, and consumer behavior. The College’s global footprint in the US (Pittsburgh and Washington D.C.), in Singapore and in Adelaide, Australia enable these issues to be addressed from a global point of view and using international testbeds. Krishnan led the establishment of research centers focused on data driven decision making in key societal domains including transportation, smart cities, and living analytics

Industry Keynote Speaker

  • Matt Laessig is the co-founder and COO of data.world, an Austin-based technology startup currently in stealth mode. Previous to data.world, Matt held multiple leadership roles at HomeAway, the world’s leading vacation rental marketplace, including as Vice President of Global Business Development and General Manager of BedandBreakfast.com.
    Prior to HomeAway, Matt served as Vice President of Business Development at Bazaarvoice, the global leader in social commerce solutions. Matt is passionate about the opportunities created by smarter data collaboration and analytics for both business insight and societal progress. He is a graduate of both the Wharton Business School (MBA, ’98) and the Lauder Institute of International Studies and Management (MA, ’98).

Speakers

  • Dr. Jason Baldridge is co-founder and Chief Scientist of People Pattern and Associate Professor of Computational Linguistics at the University of Texas at Austin. As a professor, Jason works on probabilistic models for categorization and syntax, with a particular emphasis on low-resource languages. He also focuses on methods and applications for connecting linguistic objects to geography and time.
    He has been active in the creation and promotion of open source software for natural language processing: he is one of the co-creators of the Apache OpenNLP Toolkit, and he has contributed many others, including ScalaNLP, Junto, TextGrounder and OpenCCG. Jason received his Ph.D. from the University of Edinburgh in 2002, where his doctoral dissertation was awarded the 2003 Beth Dissertation Prize from the European Association for Logic, Language and Information. His main academic research interests include categorial grammars, parsing, semi-supervised learning, co-reference resolution and geo-referencing.
  • Chris Kerns has been at the forefront of digital data and insights for over a decade, defining digital strategy for some of the world's largest brands. He currently leads the Analytics & Research group at Spredfast, a social marketing platform that empowers enterprise organizations to connect with consumers in an increasingly social world.
    Previously, he led Digital Analytics at Bazaarvoice, mining user-generated content for groundbreaking insights. In an earlier role, Kerns served as head of the Digital Analytics group for the global agency POSSIBLE, where he helped Fortune 500 clients like Ford, Microsoft and Nike maximize their digital performance. His research has appeared in The New York Times, Forbes, USA Today and AdWeek, among other publications. Follow him at @chriskerns.
  • Dr. Ramnath Chellappa is Associate professor and area doctoral coordinator Information systems and operations management Goizueta Business School, Emory University. His research focuses on economic, behavioral and technical aspects of electronic markets.
    In particular, his research aims to understand how the adoption of the Internet by both consumers and vendors has changed conventional views of products and business transactions. His work on information privacy in online transactions received the Best Paper Award at INFORMS-CIST 2003. His recent works examine pricing in the US domestic airline industry and competitive dynamics in business software industries. His research methods include analytical modelling, empirical modelling and social network analysis. Professor Chellappa also works closely with the industry on the managerial aspects of information technology driven issues. He has served as a litigation expert on privacy related issues for major portals and he co-authored a study on the design of identity management systems that was supported by the advanced practices council of the society for information management. He received his PhD from the McCombs School of Business at the University of Texas in Austin in 1997 where his work resulted in the creation and scholarly definition of the term "Cloud Computing". Professor Chellappa has taught courses in undergraduate, MBA, PhD and executive education programs. He has also designed and taught courses in the medical management program at USC. At Emory, he teaches in the MBA and PhD program and serves as the area doctoral coordinator.
  • Dr. Balaji Padmanabhan is the Anderson Professor of Global Management and a professor in the Information Systems Decision Sciences Department. Dr. Padmanabhan's research addresses data analytics for business applications, algorithms for online news recommender systems, management of data analytics in firms, fraud detection in healthcare, analytics in examining service quality and customer churn, behavioral profiling, and pattern discovery.
    His work has been published in both computer science and information systems journals and conferences including Management Science, Information Systems Research, MIS Quarterly, and INFORMS Journal on Computing. Dr. Padmanabhan's professional service includes work as associate editor and program committee member of several academic journals and conferences. He also works with several firms on technical, strategic and educational issues related to business and data analytics.
  • Sudha Ram is Anheuser-Busch Endowed Professor of MIS, and Entrepreneurship & Innovation in the Eller College of Management at the University of Arizona. She has joint faculty appointment as Professor of Computer Science. She is the director of the Advanced Database Research Group (ADRG) and co-director of INSITE: Center for Business Intelligence and Analytics (www.insiteua.org) at the University of Arizona.
    Dr. Ram received a Ph.D. from the University of Illinois at Urbana-Champaign in 1985. Her research is in the areas of Enterprise Data Management, Business Intelligence, Large Scale Networks Big Data Analytics. Her work uses different methods such as machine learning, statistical approaches, ontologies and conceptual modeling. Dr. Ram has published more than 200 articles in such journals as Communications of the ACM, IEEE Intelligent Systems, IEEE Transactions on Knowledge and Data Engineering, Information Systems, Information Systems Research, Management Science, and MIS Quarterly. Her research has been highlighted in several media outlets including NPR news, She was a speaker for a TED talk in December 2013 on “Creating a Smarter World with Big Data”.
  • Jake Hofman is a Senior Researcher at Microsoft Research in New York City, where his work in computational social science involves applications of statistics and machine learning to large-scale social data.
    Prior to joining Microsoft, he was a member of the Microeconomics and Social Systems group at Yahoo! Research. Jake is also an Adjunct Assistant Professor of Applied Mathematics at Columbia University, where he has designed and taught classes on a number of topics ranging from biological physics to applied machine learning. He holds a B.S. in Electrical Engineering from Boston University and a Ph.D. in Physics from Columbia University.
  • Zhiqiang (Eric) Zheng, professor in the Department of Information Systems and Operations Management at the Jindal School of Management, University of Texas at Dallas. He has a minor joint appointment with the Finance Department for which he teaches a class on Big Data Financial Analytics . Prior to joining UTD in Fall 2006, he was an assistant professor in the Business School at the University of California at Riverside from 2003 to 2006.
    He received his Ph.D. in information systems from the Department of Operations and Information Management at the Wharton School in 2003. Previously he received a M.A. from the Wharton school in Operations and Information Management and a M.S. from the Shanghai Jiaotong University in Industrial Management Engineering. His B.S. is in Management Information Systems from Harbin Institute of technology. His current research interests focuses on Business Analytics (healthcare analytics, social media analytics and financial analytics). He serves (has served) on the editorial board of Information Systems Research , Informs Journal on Computing , Information Technology Management , Journal of E-commerce Research and Journal of Management Analytics as an AE. He also served as an associate editor for the special on big data at MIS Quarterly and a senior editor for a sepecial issue on the IS and OM interface at Production and Operations Management.
  • Dr. Ransbotham’s research interests include IT security, social media and the strategic use of IT. In 2014, he was awarded an NSF CAREER Award for his analytics-based research in security. He was recently named the guest editor for MIT's Sloan Management Review, Data and Analytics initiative.
    His recent research appeared in Marketing Science, Management Science, MIS Quarterly, Information Systems Research and the INFORMS Journal on Computing. Dr. Ransbotham was also awarded one of eleven inaugural Google and WPP Marketing Awards to support research into how online media influences consumer behavior, attitudes, and decision making.
  • Sharique Hasan is Associate Professor of Organizational Behavior and Louise & Claude N. Rosenberg Jr. Faculty Scholar at Stanford University's Graduate School of Business.
    He studies social networks, learning, and entrepreneurship using randomized field experiments and computational methods. His work has been published in leading journals including Management Science, Administrative Science Quarterly, American Sociological Review and Organization Science.
  • Vic Hughes Jr., CFO, OAG Analytics, has extensive oil industry, financial markets, and new technology development board level management experience. His 20 plus years of oil industry experience, primarily with British Petroleum, include successful technical, operating, commercial, strategic planning, and financial assignments in North America and internationally.
    He also has six years of experience in the financial services industry, most recently as an Executive Director in the research departments of CIBC World Markets, evaluating, advising, and raising funds for public and private small capitalization oil industry companies. Prior to joining OAG Analytics, Vic was the founding CFO of Ignite Energy Resources, an Australian high tech green-energy oil company. Prior to that he was a co-founder and initial CFO of Gastar Exploration Ltd., a US publicly listed company. After obtaining a BS and MS in Engineering from the University of Illinois, he obtained a MBA in Finance and Economics from the University of Chicago. Vic also attended the Petroleum Engineering graduate program at the University of Houston. Mr. Hughes was an author of the 1992 National Petroleum Council natural gas study, a member of the Society of Petroleum Engineers, and is a Registered Professional Engineer.
  • Gaurav Kataria is a Big Data leader at Google who is responsible for Product Adoption initiatives across various Google for Work product lines - Gmail, Drive, G+, Hangouts, Google Docs, Drive, Android and Chrome. His group employs sophisticated machine learning, data mining and experimentation techniques to uncover patterns in the signup flow and usage patterns to improve user acquisition, retention and engagement.
    Gaurav holds a guest lecturer position at Stanford Business School where he teaches a course on ‘Data-Driven Decision Making’. He actively supports the startup community in bay area and is an advisor to multiple startups in mobile space. Prior to Google, he was a senior manager at Booz Allen and a researcher at Cylab - Carnegie Mellon. He has a Masters and PhD in the area of Information Security from Carnegie Mellon University and Bachelors in Electrical Engineering from Indian Institute of Technology. He currently lives in Palo Alto, California and enjoys hiking the bay area mountain ranges in his spare time.
  • Tad Turpen is Lead Natural Language Processing (NLP) Engineer at NarrativeDx, the leading platform providing hospitals with actionable insights to improve patient experiences. Tad has built his entrepreneurship on his Master’s in Computational Linguistics from Brandeis University.
    After getting his Master’s, he continued his training in NLP at the Human Language and Technology Center of Excellence at Johns Hopkins University, followed by a research associate position at the University of Pennsylvania in the Department of Computer and Information Science with Dr. Mitch Marcus and Dr. Chris Callison-Burch. Tad’s first experience of bringing a text analysis product to market was with Choosito, an educational search engine that analyzes web content for reading level and theme in real time. Tad joined the NarrativeDx team to build the NarrativeDx solution from MVP to the leading patient experience management platform that it has become today for the analysis of patient feedback. Within a year of implementation, NarrativeDx partners have been able to drive significant ROIs such as $50M additional revenue in referrals. Leading institutions that have implemented NarrativeDx include NYU Langone Medical Center, HackensackUMC Palisades, Christiana Care Health System and Lucile Packard Children’s Hospital (Stanford Health).
    • Mr. Ed Healy currently serves as the CEO and President of RF Code, a privately held technology company in Austin, Texas providing data center solutions to many of the top tier data center companies in the world. Prior to his current responsibilities at RF Code he started and served as CEO and President of Acertus Technologies, CEO of Cubic Wafer and helped found and start the wireless business at Silicon Labs, a semiconductor company located in downtown Austin, Texas.
      Mr. Healy was instrumental in Silicon Lab's Initial Public Offering in March of 2000, at the time the most highly valued IPO in the history of the semiconductor industry. Mr. Healy has also served as Board Director on five companies, Board Advisor of three companies, and is currently the Senior Advisor to the Chairman of Mediateck, a public company with headquarters in Hsinchu, Taiwan. Mr. Healy also served as an officer in the United States Army upon graduating from the United States Military Academy at West Point. He was commissioned a second lieutenant in the infantry, graduated from the US Army's elite Airborne and Ranger schools and served tours in California and the Republic of Korea before being selected by West Point to attend graduate school and teach at West Point. Mr. Healy holds a number of academic degrees including a Masters degree in Management from Stanford University, an MBA from Santa Clara University, an MSEE from the Georgia Institute of Technology, and a Bachelor of Science degree from the United States Military Academy at West Point. He also holds three technology patents and is an author and contributor to numerous professional journals, conference and panels.
    • Victor Sauers has brought strategic leadership to the clean energy and high tech industries for 25+ years. A seasoned executive officer and experienced technologist who has managed multi-100 million dollar projects for Fortune 500 Companies globally.
      Experience includes operations, change agent, procurement, technology deployment and intellectual property implementation at renowned companies such as Applied Material, Lam Research, Texas Instruments, Samsung, Maxwell technologies, ABB and other world leading Tech companies. He has a strong record of leadership in predictive data analytics that focuses on actionable intelligence to the end users such as High Tech, Energy, Renewable energy, Oil & Gas and Microgrids arena’s. Victor has in the course of his career completed over 31 million square feet of commercial and Industrial energy designs and construction. Victor’s leadership also resides in the energy storage space that include developing market cases and rules for energy storage in the Texas ERCOT grid market, California ISO grid, PJM-ISO grid, Energy storage integration with solar and wind and Co-developing the world’s first Megawatt Ultracapacitor system. In addition to energy storage Victor has lead teams for the development of financial models and system technologies for commercial micro-grids and nano-grids as a leader is distribution generation and the associated big data solution. Victor is a sought after speaker on advance energy markets, energy storage technologies and energy data analytics. Victor received his degree in Applied Technologies from Texas State University and attended The Baylor School of Law. Victor was the founder and Chief Executive Officer of TKO Energy Capital, LLC, has brought exciting results and trust from all levels of management and has built a reputation for product deployment, executive coaching, bottom-line orientation, high quality and on-time delivery in challenging situations.
      • Dr. Ramesh Sharda is the Vice Dean for Research and Graduate Programs, Watson/ConocoPhillips Chair and a Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University.
        He has coauthored two textbooks (Business Intelligence and Analytics: Systems for Decision Support, 10th edition, Prentice Hall and Business Intelligence: A Managerial Perspective on Analytics, 3rd Edition, Prentice Hall). His research has been published in major journals in management science and information systems including Management Science, Operations Research, Information Systems Research, Decision Support Systems, Decision Science Journal, EJIS, JMIS, Interfaces, INFORMS Journal on Computing, and many others. He is a member of the editorial boards of journals such as the Decision Support Systems, Decision Sciences, and Information Systems Frontiers. He is currently serving as the Executive Director of Teradata University Network.
      • Dr. Shepherd Shi is the IBM Distinguished Engineer leading the Internet of Things (IoT) analytics overall architecture. Shepherd obtained his Master of Science in Computer Science from Stanford University in 1987.
        He graduated with his Ph.D in Computer Science from the University of Illinois at Urbana-Champaign in 1990. Shepherd got his Bachelor degree in Information Engineering and Computer Science from National Taiwan University in 1985. Shepherd was appointed as IBM Master Inventor since 2005.

Registration

Registration is now open! Please visit the Workshop on Social Analytics Registration Site.

Registration (Deadline - April 28):
Registration Fee: $145
UT Austin Affiliate: $95
UT Austin Student: $50

If you need an accommodation to participate in this event, please contact Amber Guevara at amber.guevara@mccombs.utexas.edu no later than five (5) business days prior to the event.

Accommodations

Event Location:

AT&T Executive Education and Conference Center
1900 University Ave, Austin, TX 78705

The Workshop on Social and Business Analytics will be held on April 29, 2016 at the AT&T Executive Education and Conference Center located at 1900 University Ave, Austin, TX 78705.
Parking Information

Accommodations:

AT&T Executive Education and Conference Center
1900 University Ave, Austin, TX 78705
Website: AT&T Executive Education and Conference Center Hotel
Phone: 512-404-1900

The Star of Texas Inn & Austin Folk House
611 W. 22nd St., Austin, TX 78705
Website: The Star of Texas Inn
Phone: 512-472-6700

Four Seasons Hotel 
98 San Jacinto Blvd., Austin, Texas 78701 
Website: Four Seasons Austin
Phone: 512-478-4500

Hilton Austin 
500 East 4th Street, Austin, Texas 78701 
Website: Hilton Austin
Phone: 512-482-8000

Hyatt Regency Austin 
208 Barton Springs Road, Austin, Texas 78704 
Website: Hyatt Regency Austin 
Phone: 512-477-1234

Omni Hotel Austin 
700 San Jacinto Blvd., Austin, Texas 78701 
Website: Omni Hotels
Phone: 512-476-3700

The Stephen F. Austin Inter-continental Hotel 
701 Congress Avenue, Austin, Texas 78701 
Website: Austin Intercontinental Hotel 
Phone: 512-457-8800

Contact Us

Registration, submission, and/or sponsorship inquiries may be directed to:

Amber Guevara
512-471-3322
Email