May 17, 2019

Reinventing the Data Analytics Classroom: Talk at International Symposium on University Teaching Innovation

On Saturday, I'll deliver the keynote talk at the International Symposium on University Teaching Innovation in Yunlin, Taiwan, on Reinventing the Data Analytics Classroom.

I'll describe my journey designing and teaching business analytics courses, from my first 2004 Data Mining course at University of Maryland's Smith School of Business, through my efforts to add active and interactive learning using technology, active learning pedagogy, and cultural-specific teaching adaptations at the Indian School of Business, Statistics. com, and National Tsing Hua University.

Where: Yunlin University of Science & Technology

When: Saturday, May 18, 10:50-12:00

April 30, 2019

GDPR and data science: our paper now published in Big Data journal

Our paper Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers (Greene et al., 2019) is now freely available on Big Data journal website. We thank the editor for using fast track to review this time-sensitive paper!

Here's the abstract:

Rapid growth in the availability of behavioral big data (BBD) has outpaced the speed of updates to ethical research codes and regulation of data privacy and human subjects' data collection, storage, and use. The introduction of the European Union's (EU's) General Data Protection Regulation (GDPR) in May 2018 will have far-reaching effects on data scientists and researchers who use BBD, not only in the EU, but around the world. Consequently, many companies are struggling to comply with the Regulation. At the same time, academics interested in research collaborations with companies are finding it more difficult to obtain data. In light of the importance of BBD in both industry and academia, data scientists and behavioral researchers would benefit from a deeper understanding of the GDPR's key concepts, definitions, and principles, especially as they apply to the data science workflow. We identify key GDPR concepts and principles and describe how they can impact the work of data scientists and researchers in this new data privacy regulation era.

April 5, 2019

Talk at Women in Data Science Taipei: Behavioral Big Data & Healthcare Research

Last Sunday, the 2019 Women in Data Science Taipei conference took place. I gave a talk on "Behavioral Big Data & Healthcare Analytics" and then participated in the "Roundtable + Networking Session" which constituted of folks surrounding each speaker and asking lots of open questions. It was a highly energetic event with lots of engagement from female and male participants, and a diverse audience from industry and universities.


March 27, 2019

Outstanding Mentor Award!

I am delighted to receive the 2018 Outstanding Mentor Award by the NTHU College of Technology Management. The real award is the opportunity to work with so many wonderful students and colleagues!

Mentoring is an incredibly important relationship, which sows many seeds in both the mentor and the mentee. This award comes at a very meaningful (and sad) time, with the unexpected passing away of my beloved graduate advisor Prof. Aya Cohen (for whom we created a commemorating blog). Knowing how important she's been in my life, receiving the mentoring award is extremely meaningful to me.


February 11, 2019

"PLS-Based Model Selection" - forthcoming in JAIS

Our paper "PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research" by Sharma et al, (forthcoming in JAIS) examines the use of information criteria for model selection, such as AIC, BIC and related metrics, in the context of PLS-SEM models (partial least squares path models). Our co-author Marko Sarstedt presents the main points and results in a slick 10-min video.