Centre for Digital Governance
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Many governments have problems with developing digital government services in an effective and efficient manner. One proposed solution to improve governmental digital service development is for governments to utilize agile development methods. However, there is currently a lack of understanding on two important and related topics. First, whether or not agile development might help to overcome common failure reasons of digital government projects. Second, what the challenges and success factors of agile digital government service development are. This paper addresses both of these gaps. By gathering insights from six cases where agile methods were used in the development of new digital services, it identifies five core categories of challenges and success factors encountered when utilizing agile development methods for governmental digital service development: organizational, methodological, end-user-related, technological, and regulatory. Furthermore, based on these findings, it makes initial recommendations on when and how to best use agile methods for digital government service development.
Robot Nannies Will Not Love
(2021)
How artificial intelligence and robotics are transforming the future of love and desire: a philosophical thriller and essays.A chance encounter between two women and a road trip into the future: It's Christmas Eve, and Scarlett, banker-turned-technologist, is leaving a secret underground lab to catch the last flight that will get her home in time to open presents with her three-year-old son. She offers a lift to a young woman in distress, who shares her intimate life story as they drive to the airport. These revelations will have devastating consequences for both of them. The Love Makers is a philosophical thriller about female friendship, class, motherhood, women, and work--and how artificial intelligence and robotics are transforming the future of love and desire. Aifric Campbell combines her novel with essays from leading scientists and commentators who examine what's at stake in our human-machine relationships. What is our future as friends, parents, lovers? Will advances in intelligent machines reverse decades of progress for women? From robot nannies to generative art and our ancient dreams of intelligent machines, The Love Makers blends storytelling with science communication to investigate the challenges and opportunities of emergent technologies and how we want to live. ContributorsRonny Bogani, Joanna J. Bryson, Julie Carpenter, Stephen Cave, Anita Chandran, Peter R. N. Childs, Kate Devlin, Kanta Dihal, Mary Flanagan, Margaret Rhee, Amanda Sharkey, Roberto Trotta, E. R. Truitt, and Richard Watson
In today's world, disasters, both natural and manmade, are becoming increasingly frequent, and new solutions are of a compelling need to provide and disseminate information about these disasters to the public and concerned authorities in an effective and efficient manner. One of the most frequently used ways for information dissemination today is through social media, and when it comes to real-time information, Twitter is often the channel of choice. Thus, this paper discusses how Big Data Analytics (BDA) can take advantage of information streaming from Twitter to generate alerts and provide information in real-time on ongoing disasters. The paper proposes TAGS (Twitter Alert Generation System), a novel solution for collecting and analyzing social media streaming data in realtime and subsequently issue warnings related to ongoing disasters using a combination of Hadoop and Spark frameworks. The paper tests and evaluates the proposed solution using Twitter data from the 2018 earthquake in Palu City, Sulawesi, Indonesia. The proposed architecture was able to issue alert messages on various disaster scenarios and identify critical information that can be utilized for further analysis. Moreover, the performance of the proposed solution is assessed with respect to processing time and throughput that shows reliable system efficiency.