Judith Hurwitz is a technology consultant and strategist, thought leader, and author. She has co-authored 10 books. Her most recent books include Augmented Intelligence: The Business Power of Human-Machine Collaboration https://amzn.to/37W7L3j, Cloud Computing for Dummies (Second Edition) https://amzn.to/3AWDLRB, and Cognitive Computing and Big Data Analytics https://amzn.to/3mi9rfZ. Judith’s career has focused on the importance of emerging technology that can transform markets. She is passionate about the importance of understanding data in context and the imperative for collaboration between data scientists and business leaders.
Judith has more than 25 years of experience in the technology industry including stints at John Hancock and Apollo Computer (acquired by Hewlett Packard). She founded three companies including Hurwitz Group, Inc., CycleBridge Technologies, and Hurwitz & Associates. She serves on the advisory board of numerous emerging companies and is a frequent speaker at industry events. Judith is a graduate of Boston University where she currently serves on the Boston University’s College of Arts & Sciences Dean’s Advisory Board.
Scott Cunningham is the author of Causal Inference: the Mixtape. He is also the proprietor of Mixtape Sessions, an education platform that teaches workshops on causal inference and related topics whose mission is to “democratize causal inference”. Cunningham is a public policy scholar and professor of economics at Baylor University where he is recognized for his research on health and labor economics, particularly mental healthcare, abortion policy, drug policy and sex work.
Paul Hünermund is the co-founder of causalscience.org, a platform for fostering knowledge exchange between industry and academia on topics related to causal data science.
Dr. Hünermund’s research has been published in Journal of Management Studies, Research Policy, Journal of Product Innovation Management, International Journal of Industrial Organization, and Harvard Business Review, among others. He serves on the editorial board of the Journal of Causal Inference and on the executive team of the Technology and Innovation Management division at the Academy of Management.
Nick Huntington-Klein is an author and renowned industry expert on econometrics and causal inference. His work includes developing methods to disentangle cause and effect and helping to apply the methods in many different academic and business settings. He has authored several widely-circulated documents on causal inference including the book The Effect. Nick is currently an assistant professor of economics at Seattle University and devotes significant time to teaching how causal inference methods work to a broader audience of academics, students, data scientists, and businesspeople.
Dave Bartlett has been a C-suite executive and technology leader for major corporate organizations serving as Chief Technology Officer for Panasonic Avionics, GE Current, and GE Aviation. Prior to that, he was a VP of IBM Software Development, and IBM Research focused on autonomic self-managing systems. In addition to his advanced degrees and industry recognition around IoT and digital transformation, he has recently earned formal certifications from MIT for both AI and Cyber Security.
Boris Sobolev is a Canadian healthcare researcher. He is the author of Waiting Time Data Analysis in Health Services Research and Healthcare Evaluation with Computer Modeling: Concepts, Methods and Applications, and is the editor-in-chief of the Health Services Research series published by Springer Science+Business Media. Sobolev studied applied mathematics at Tomsk State University, received his PhD in applied statistics from the USSR Academy of Sciences in 1989, and completed postdoctoral training at the International Institute for Applied Systems Analysis in Austria in 1990. In 2008, he moved to the University of British Columbia, Canada, as a professor in the School of Population and Public Health.