Expert Practices

Expert Practices

Education & research combined with hands-on experience in data analytics. We support organisations in turning data into business value through eight areas of expertise:
  • Cities nowadays thrive on data of all kinds that help local government and business to plan, monitor and innovate. It is unclear, however, if and how people benefit from such Big, Open and Linked Data (BOLD) cities, where it seems their every feature, movement and behaviour is monitored. This citizen perspective leads the research in social inclusion. The emerging urban data landscape is diverse and complex and involves big data as well as open or linked data.

    It includes data that is personal and impersonal, individual and aggregate, historical and real time, and so on. It raises questions about storage, analytics, presentation and visualization, but also about appropriate data-governance and management, and particularly about the social, ethical and individual consequences of the urban data revolution for people in the city.

    Research of Prof. van Zoonen is focused on 3 subthemes:

    1. the use of data and digital technologies to aid vulnerable urban groups;

    2.  enhancements of new forms of urban participation and governance;

    3. development of urban data literacy and democratic legitimization.


    Academic director: Prof. Liesbet van Zoonen

  • The audit, accounting and control analytics lab builds on the inherent advantages of the accounting profession to provide businesses with an insight into the quality of data, algorithms and their value for the business. Themes that are explored using data science include: organisational compliance assessments, fraud detection, and valuation of assests with audio-visual data.


    Academic director: Dr Iuliana Sandu

  • Bio informatics focusses on translational medicine by combining inter-disciplinary data and resources, as well as expertise. The molecular biology techniques require computer science expertise, information engineering, mathematics, and statistics to support the diagnostics of complex patients. Topics include diagnostics and personalized healthcare innovations for congenital malformations and cancer patients, how hereditary information in our DNA contributes to the evolution, development, structure and function of the human brain and face.


    Academic director: Prof. Peter van der Spek

  • The exponential improvements in artificial intelligence, robotics, networks, analytics, and digitization affect more and more of the economy and society. Digital Business aims to explore how people and businesses will work, interact, and prosper in an era of profound digital transformation. The initiative will bring university faculties and industry leaders to research the effects of, and causes behind these phenomena.

    Digital Business combines experimental, statistical, econometric, and computational methodologies to study digital, social, and mobile business of today. It strives to bring together behaviour science, management science, statistics, and computer science (data mining and machine learning) to understand the causes and the effects of how emerging technologies and big data impact consumers, firms, and societies.


    Academic director: Prof. Ting Li

  • FinTech Lab strives to become a force for positive change in financial services, by promoting and streamlining interdisciplinary academic research in FinTech, aligning it with the needs and interests of industry practitioners, and creating a knowledge centre to facilitate knowledge distribution, among others to students. We aim to create threefold impact, in academia, management, and education.


    Academic director: Dr Dion Bongaerts

  • Big Data, artificial intelligence, Robots, 3D Printing, the Smart Factory and self-driving cars. All terms that are linked to the technological and social changes we face at work, at home, at school, when buying products on the internet or voting in an election.

    What rules and standards are needed to ensure that Big Data and artificial intelligence can be used to support us in our own needs? And what frameworks are needed to prevent these technologies from being at the expense of our society? To what extent is established legislation resistant to accelerated digitization? And what legal shortcomings must be bridged by new legislation? In short: Digital Governance must be considered

    Digital Governance (DIGOV) is the name of the Jean Monnet Center of Excellence awarded by the European Commission to the Erasmus School of Law. The award is also a recognition of Erasmus School of Law's leadership in research into the legal consequences of technological disruption.


    Academic Director: Prof. Klaus Heine

  • Marketing Analytics has a unique approach by being based on (1) highly singular and distinct depth in marketing analytics and advertising analytics, and (2) being focused on concrete solutions - often based in marketing algorithms and mathematical optimization models - that help firms identify the best actions (such as new products, communication tactics, budget allocation) that can most increase revenue, profits or market share.


    Academic director: Prof. Gui Liberali

  • Successful introduction of advanced analytics—whether in companies or market offerings—ultimately rests on human users’ beliefs and adoption behavior. The Psychology of AI lab examines the human side of data science. We study a variety of topics, including consumer acceptance of AI solutions and of automated products, workers’ beliefs about technological replacement of human labor, and how analysts make sense of data.

    From a business perspective, data science projects and AI-driven innovations can only be successful when they are positively received and correctly deployed by managers and customers. Important psychological processes such as social comparison, attribution, need for uniqueness, and self-consciousness explain how individuals react to, and think about, intelligent machines. We conduct experiments with human participants and apply a behavioral science approach to AI. 

    From a societal perspective, current forecasts predict the displacement of significant sections of the labor force, due to the increasing ability of robots and algorithms to automate tasks. Regardless of whether this displacement will be transitional or permanent, it is important for the stability of society to understand potential threats to the psychological wellbeing of affected individuals. Our lab investigates the psychological consequences of technological replacement of human activities.


    Academic Director: Prof. Stefano Puntoni

  • Smart cities & smart energy combines in depth expertise of smart cities, sustainable energy and electric mobility with the role of big data, analytics, blockchain, IoT and data platforms to help cities and communities and their stakeholders become more sustainable and efficient, while creating new business models based on data, analytics and smart tariffing. The dynamism and complexity of energy markets, and the shifting landscape they operate in, requires a broad spectrum of knowledge combined with cutting edge research techniques and technologies using data and analytics. Areas of expertise include

    • energy market simulations and computational models
    • flexibility in energy markets and networks
    • electric & autonomous mobility and smart charging
    • electricity trading and auctions
    • energy storage
    • demand side management
    • urban data platforms (design, governance and business models)

    Our aim is to clear a path through the complexity to allow informed choices to be made, and at the same time provide an arena for the evolution of theory. We are designer and co-ordinator of Power TAC, the Trading Agent Competition for power markets. Power TAC provides an open, modular research testbed for evaluating power market designs and trading strategies.


    Academic directors: Dr Yashar Ghiassi-Farrokhfal & Prof Wolfgang Ketter  

  • Supply Chain Analytics focuses on the effective and efficient management of the products and services lifecycle, based on using data and analytics. Successful Supply Chain Management is imperative for any competitive business. To emphasize the need for businesses to enhance skills and knowledge our research and teaching is targeted at data analytics on transportation, facility logistics, optimization and sustainability and sourcing strategies.


    Academic director:  Dr. Robert Rooderkerk