Cofounded by Sabancı University and MIT Media Lab Human Dynamics Group in 2015, BAVLAB conducts research on the Big Data Analytics and Data Visualization using large data sets.

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  • AKBANK & AKSİGORTA JOINT PROJECT
    AKBANK & AKSİGORTA JOINT PROJECT

    BAV Lab signed a research project contract with Akbank and Aksigorta that involves combined analysis of databases from the two companies. The project will be carried out over the course of 15 months, and is expected result in improved product recommendation performance for the two companies.

  • SEMINAR SERIES #3: XIAOWEN DONG
    SEMINAR SERIES #3: XIAOWEN DONG

    There is evidence in the literature that word-of-mouth and physical exposure are well-known powerful sources of behavior propagation, but their effectiveness in modern city environment remains largely unknown. In this talk, using large-scale quantitative behavioral data, we show two examples on the effect of direct and indirect communication on human decision-making.

  • AKBANK ANALYTICS DAY
    AKBANK ANALYTICS DAY

    Akbank senior management and analytics experts spent a day with BAV Lab researchers and Dr. Xiaowen Dong of MIT Media Lab’s Human Dynamics Group, and discussed various topics of research and implementation ranging from churn analysis to campaign optimization, and to behavioral risk analysis.

  • BAV Lab to present at IC2S2 2017
    BAV Lab to present at IC2S2 2017

    Two research studies conducted at BAV Lab were accepted for presentation at the IC2S2 2017 conference to be held in Cologne, Germany in July 2017: 1) Insurance Fraud Detection: A Network Modeling and Behavioral Analytics Approach, and 2) Using Predictive Analytics to Learn and Predict Customer Invoice Payment Behavior.

  • CNN Türk Interview
    CNN Türk Interview

    Prof. Burçin Bozkaya gave an interview to CNN Türk on the Big Data analysis and visualization as a job of the future.

  • Seminar Series #2: Mohsen Bahrami
    Seminar Series #2: Mohsen Bahrami

    Experiences from different industries show that low receivable turnover ratio may result in financial and strategic problems in companies. Many service companies collect their income through monthly issued invoices and inefficient invoice collection leads to an increasing volume of outstanding invoices.