Event

Data Monetization Fundamentals: Decoding Three Decades of Academic Research about Data Value for Practice Success

The ARC Training Centre for Information Rescilience [CIRES] cordially invites you to a research seminar and forum featuring Barb Wixom, a Principal Research Scientist at the MIT Center for Information Systems Research.

Speaker: Dr Barbara Wixom, MIT Sloan, Center for Information Systems Research (CISR)

8:30am - 12:00pm (AEST)

26 February, 2024

Room 227, UQ Brisbane City, 308 Queen Street



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The ARC Training Centre for Information Resilience [CIRES] cordially invites you to a research seminar and forum featuring Barb Wixom, a Principal Research Scientist at the MIT Center for Information Systems Research. With a deep passion for the subject, Barb is a world authority in data with three decades of impactful academic work. Barb’s insights, drawn from deep case studies of global firms such Microsoft, BBVA, GE and surveys of data executives, uniquely bridge academia and industry. Barb authored her new book Data is Everybody’s Business (MIT Press, September 2023) to inspire workers across organizations to engage in data monetization. Join us for an engaging session where she shares cutting-edge concepts shaping the data landscape.

 

8.30 am – 9.30 am INTERACTIVE SEMINAR

Data is Everybody’s Business 

In this session, Barb Wixom will present the core concepts of data monetization with insights from Barb Wixom’s MIT Press book, “Data is Everybody’s Business.” Her presentation will include practice-based frameworks and tools for creating value from data, featuring research within contemporary contexts like generative AI and external data sharing. 

10 am – 11.30 am DEEP-DIVE FORUM 

Acceptable Data Use – A Precursor to Responsible AI 

In this interactive session, Barb Wixom will guide a deep-dive discussion on how companies can establish acceptable data use practices as a foundational step toward ensuring responsible AI. Drawing on insights from CIRES partners, she will explore considerations such as legal, regulatory, and ethical oversight practices that empower companies to embrace AI responsibly. 

Bio: Since 1994, Dr. Barbara Wixom’s research has explored how organizations generate business value from data assets. Her methods include large-scale surveys, meta-analyses, lab experiments and in-depth case studies; five of her cases have placed in the Society for Information Management Paper Awards competition. Barb is a leading academic scholar, publishing in such journals as Information Systems Research; MIT Sloan Management Review; MIS Quarterly; and MIS Quarterly Executive. She regularly presents her work to academic and business audiences around the world.

Barb joined MIT Sloan in June 2013 to serve as a Principal Research Scientist at the Center for Information Systems Research (CISR). She leads the MIT CISR Data Research Advisory Board, comprised of one hundred data and analytics executives from CISR organizations. The board prioritizes, informs, and participates in data research activities in ways that influence findings and insights at MIT CISR and help advance the field of data analytics.

Prior to MIT CISR, Barb was a tenured faculty member at the University of Virginia (UVA) where she twice earned the UVA All-University Teaching Award (2002, 2010), which recognizes teaching excellence in professors. In 2017, she was awarded the Teradata University Network Hugh J. Watson Award for contributions to the data and analytics academic community. Most recently, she won the 2021 Association for Information Systems AIS Outreach Practice Publication Award for her data monetization research.

Barb is an International Expert Panel Member for The Centre for Information Resilience (CIRES), an Australian Research Council (ARC) Industrial Transformation Training Centre. She is a coauthor of published research with Australian collaborators at the University of Queensland and the University of Melbourne, and an external examiner for Australian doctoral work.

Barb authored her new book Data is Everybody’s Business (MIT Press, September 2023) to inspire workers across organizations to engage in data monetization. She actively works to encourage women, young people, and underrepresented populations to learn about data and pursue data-related careers.

Register by 23 February 2024. Limited Seats Available

 

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