@article{JankinPenchevaEsteve, author = {Jankin, Slava and Pencheva, Irina and Esteve, Marc}, title = {Big Data \& AI - A Transformational Shift for Government: So, What Next for Research?}, series = {Public Policy and Administration}, journal = {Public Policy and Administration}, doi = {10.1177/0952076718780537}, pages = {1 -- 21}, abstract = {Big Data and Artificial Intelligence will have a profound transformational impact on governments around the world. Thus, it is important for scholars to provide a useful analysis on the topic to public managers and policymakers. This study offers an in-depth review of the Policy and Administration literature on the role of Big Data and advanced analytics in the public sector. It provides an overview of the key themes in the research field, namely the application and benefits of Big Data throughout the policy process, and challenges to its adoption and the resulting implications for the public sector. It is argued that research on the subject is still nascent and more should be done to ensure that the theory adds real value to practitioners. A critical assessment of the strengths and limitations of the existing literature is developed, and a future research agenda to address these gaps and enrich our understanding on the topic is proposed.}, language = {en} } @article{JankinEsteveCampion, author = {Jankin, Slava and Esteve, Marc and Campion, Averill}, title = {Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration}, series = {Philosophical Transactions of the Royal Society A}, volume = {376}, journal = {Philosophical Transactions of the Royal Society A}, number = {2128}, doi = {10.1098/rsta.2017.0357}, abstract = {Public sector organizations are increasingly interested in using data science and artificial intelligence capabilities to deliver policy and generate efficiencies in high uncertainty environments. The long-term success of data science and artificial intelligence (AI) in the public sector relies on effectively embedding it into delivery solutions for policy implementation. However, governments cannot do this integration of AI into public service delivery on their own. The UK Government Industrial Strategy is clear that delivering on the AI grand challenge requires collaboration between universities and public and private sectors. This cross-sectoral collaborative approach is the norm in applied AI centres of excellence around the world. Despite their popularity, cross-sector collaborations entail serious management challenges that hinder their success. In this article we discuss the opportunities and challenges from AI for public sector. Finally, we propose a series of strategies to successfully manage these cross-sectoral collaborations.}, language = {en} }