Appointed as Inaugural EIC of INFORMS Journal on Data Science
"The INFORMS Board of Directors has voted unanimously to appoint Galit Shmueli as the inaugural editor of INFORMS’ newest journal, INFORMS Journal on Data Science (IJDS)."
I was recently interviewed at Monash Business School (Melbourne, Australia) as part of their series "Impact: Shaping the future of business". I emphasize the importance of nurturing a "good heart" when developing and deploying AI, and in data science education. See the interview and article.
May 17, 2019
Reinventing the Data Analytics Classroom: Talk at International Symposium on University Teaching Innovation
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
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.
Prof. Galit Shmueli, Institute of Service Science, College of Technology Management, National Tsing Hua University, 101 Kuang Fu Road Sec. 2, Hsinchu 30013 Taiwan
