Call for Papers & Events

  • Symposium/Conference

    The 6th SSBRN Symposium 2021 – Lublin, Poland

    maria curie-sklodowska university

    SSBRN in colaboration with Maria Curie-Sklodowska University (Lublin, Poland) presents the 6th SSBRN Symposium 2021. We call for papers, reviewers, and co-host. Please contract secretariat@ssbrn.com for more information. ... [Read More]

  • Symposium/Conference

    Submission procedure

    ssbrn

      How to register your account at our website? Click here. How to submit your paper at our symposium? Click here. ... [Read More]

  • Symposium/Conference

    Brawijaya International Conference on Economics, Business & Finance 2020

    Universitas Brawijaya

    CALL FOR PAPERS - CALL FOR CO-HOST SSBRN collaborates with Faculty of Economics & Business Brawijaya University to hold International Conference on Economics, Business & Finance. This conference is expected to produce or develop theories and exploring new research opportunities for future academic research. We call for papers in economics, business and finance using multiple perspectives. We are waiting for contr... [Read More]

  • Symposium/Conference

    International Conference 2020: Innovative Business Management & Global Entrepreneurship

    romania

    SSBRN collaborates with several universities and organizations to hold an online event. The International Conference on Innovative Business Management & Global Entrepreneurship will be conducted on September 4th, 2020.   ... [Read More]

  • Call for Papers - Journal/Book

    RBAOS Award 2020

    paris

    SSBRN sponsors RBAOS Award 2020. Submit your article with NO submission and publication fee. Three BEST PAPER awardees will receive benefits. Those are Free registration fee of the 5th SSBRN Symposium in Paris, France. e-certificate for best paper award Membership of SSBRN for one year ... [Read More]

  • Call for Papers - Journal/Book

    Computational Economics Special Issue in Machine Learning

    Computational Economics

     Objective: The field of Machine Learning (ML) appeared in the mid-50s mainly to create and deliver the “Learning” component on the (pioneering then) Artificial Intelligence (AI) systems. Its practical applications though, have been implemented without precedent in the last two decades. In between, ML followed the fate of AI and experienced long periods of low interest and funding (often referred to as... [Read More]