Research at TiSEM

Get inspired by Economics and Business

Check out the research special of New Scientist magazine

TiSEM Awards

In recent years many TiSEM reseachers have received awards, grants and nominations in recognition of their outstanding contribution to scientific research.

2020

  • Bart Bronnenberg

    Bart Bronnenberg

    Professor of Marketing

    Bart Bronnenberg has been awarded the Long Term Impact Award from the INFORMS Society for his impactful 2010 publication in Marketing Science: Kim, Jun B., Paulo Albuquerque, and Bart J. Bronnenberg (2010), “Online Demand under Limited Consumer Search,” Marketing Science, 29:6 (November-December), 1001-1023.
    The INFORMS Society for Marketing Science Long Term Impact Award (LTI Award) is given annually to a marketing paper published in Marketing Science, or Management Science, or another INFORMS journal, that is viewed to have made a significant long run impact on the field of Marketing.

  • Spyros Angelopoulos

    Spyros Angelopoulos

    Assistant Professor of Information Management

    Spyros Angelopoulos has been selected by Google as one of the Faculty Experts in the area of High Performance Computing. Faculty Experts – a cohort that includes only 30 top faculty worldwide  - are chosen for their leadership in their field. In the past, Angelopoulos received also the Google Research and Microsoft Research Awards. He integrates his expertise in High Performance Computing into his research but also teaching.

  • Bart Bronnenberg

    Bart Bronnenberg

    Professor of Marketing

    Bart Bronnenberg has been appointed as an Academic Fellow at the prestigious Marketing Science Institute (MSI) in Boston, the highest honor at this institute.
    Academic Fellows serve as advisors to MSI’s research efforts and represent the academic community to MSI’s business constituency. Their role is designed to help identify the elite academic experts in each of the core research domains and methodologies, in order to ensure that MSI research funding, publications, and content decisions are optimally informed.

2019

2017