Presenting on how Open Government Data may be used to drive public service co-creation at Open Data Day Estonia 2018.

I am currently conducting a PhD at Tallinn University of Technology’s Ragnar Nurkse Department of Innovation and Governance titled “Government as a Platform: Open Data as a means for the coproduction and customization of public services”. This research posits that open data may help drive a shift in how public services are conceived, developed, and delivered by enabling enhanced levels of co-creation.

The PhD aims to analyze this shift, understand how it occurs, and provide a model and framework for understanding how open government data is enabling and driving the co-creation of new public services. Additionally, the research project aims to look at potential implications for community empowerment, innovation, and enhanced levels of participation in democratic processes.

I am also working as a researcher on the Horizon 2020 funded project, OpenGovIntelligence. This project aims to demonstrate how open government data may be used to modernize public administrations and the co-creation of new public services. In addition to open government data and co-creation, my research interests also include data analytics, complexity, machine learning, artificial intelligence, innovation, and government transformation.

Research Interests

  • Open Government Data
  • Co-Creation
  • e-Government
  • Complexity
  • Machine Learning
  • Artificial Intelligence

Project Involvement

  • OpenGovIntelligence (H2020)

    OpenGovIntelligence aims to modernize public service delivery by developing a public service delivery process based around co-creation and the exploitation and use of linked open statistical data.

    The OpenGovIntelligence project aims at stimulating sustainable economic growth in Europe through fostering innovation in society and enterprises. Towards this end, OpenGovIntelligence suggests a holistic approach for the modernization of Public Administration (PA) by exploiting Linked Open Statistical Data (LOSD) technologies. This includes new business processes, policies, and tools that will enable the active participation of the society and enterprises in data sharing and in the co-production of innovative data-driven public services.