Discover Analytics is an international, open access journal that publishes research on computational, mathematical, methodological, and descriptive aspects of analytics. Papers should describe work that adds to the understanding of analytical theory, detail research on new or existing analytical methodologies, or report on the application of analytical techniques for the discovery, interpretation, and communication of meaningful patterns of data across multidisciplinary areas. The topics covered by the journal include but are not limited to: Operations research Project management Decision making, decision aiding, decision support systems Business intelligence Quality metrics Data presentation architecture Data analytics science and engineering Statistical and mathematical methods for data analytics Use of algorithms, AI, and machine learning technologies in data analytics Organizational, ethical, and social implications of analytics Fundamentals of analytics (but not limited to): Architectural analytics Behavioral analytics Cognitive analytics Decision analytics Digital analytics Learning analytics Marketing analytics People analytics Policy analytics Portfolio analytics Risk analytics Social analytics Software analytics Speech analytics Supply chain analytics Data analytics techniques and tools (but not limited to): Cohort analysis Factor analysis MonkeyLearn Monte Carlo simulations Natural language processing Qlik Sense Regression analysis Tableau Time series analysis Principles of big data analytics Data collection Data storage Data processing Data cleansing Data analysis Principles of business analytics: Descriptive analytics Diagnostic analytics Predictive analytics Prescriptive analytics Applications of data analytics to solve real world problems (but not limited to): Banking Education Energy and mining Environment/climate Finance Forensic science Healthcare, medicine, and pharmaceuticals Imaging Internet of things Life sciences Logistics Manufacturing Security Smart cities Social science Content Types Discover Analytics welcomes full-length Research articles as well as Brief Communications of empirical findings, Reviews, Perspectives, Comments, Case Studies, Registered Reports, and Data Notes from across the full range of disciplines concerned with analytics research. The journal also publishes guest-edited Topical Collections of relevance to analytics research, management science/operations research, and related fields. For more information, please follow up with our journal publishing contact.