I'm excited to announce that our book Information Quality - The Potential of Analytics to Generate Knowledge (with Ron Kenett) is finally out just in time for the new year. The book introduces the Information Quality (InfoQ) framework, which is useful for evaluating the potential or usefulness of a dataset for answering a specific question or goal, given the use of data analysis (statistical modeling, data mining, etc.). It is also useful for evaluating studies that use data analysis.
Next week I'll be headed to SAS headquarters in Cary, NC for an interview on Analytically Speaking. I look forward to Anne Milley's thought-provoking questions! The announcement promises to walk through several of my research areas:
My paper (with discussion by 4 sets of authors and a rejoinder) that just came out in Quality Engineering, is aimed at introducing the community of industrial statisticians to the different challenges, opportunities and issues in analyzing "Big Behavioral Data" (BBD).
I'll be delivering a plenary talk on Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues at the Stu Hunter Research Conference, in Waterloo, Canada. The talk will be on Tuesday, 9:00-10:30am, followed by two discussants (Discussants: Roger Hoerl, Union College; Kwok Tsui, City University of Hong Kong; Moderator: Maria Weese, Miami University), and discussion from the audience.
I'll present a talk "On Information Quality" at the Indian Statistical Institute in Kolkata's Bayesian & Interdisciplinary Research Unit on February 19th (4:15pm at BIRU conference room, 4th floor of R.A. Fisher Bhavan).
On Information Quality is a paper that I co-author with Ron Kenett. Information Quality, or InfoQ, introduces a high-level analytics concept, asking the question about the potential of a particular dataset to answer the question of interest, given a particular data analysis.