Investment in societal safety has become paramount as the world gets more exposed to disaster and crisis. The aim of this paper is to improve the crisis communication management using mobile technologies based on the case of Lagos state in Nigeria. The research follows design science methodology and we use qualitative and quantitative data collection methods to meet the objectives of the study. To propose the most suitable mobile based solution, we investigated crisis communication environment in the Lagos state and map the user expectations via survey. We use expert interviews to validate the designed solution. As a result we proposed a citizen-centered crisis management mobile application prototype (CrisisIT) that enables easy information exchange between the crisis management authorities and the citizens. In addition to the basic functionalities of notifications, calls and messages, the solution enables to upload videos and trigger a notification to the emergency team with location address via an analytical tool connected to the national and state emergency rescue team technical infrastructure.

The large volume of information being produced in organizations today poses new challenges to the accuracy and effectiveness of any organizations’ decision-making processes. These challenges, namely sensemaking and trust, can critically impact the decision-making processes, even if the organizations are relying on business intelligence (BI) strategies. Given the critical impact an organizations’ BI can have on its sustainability and thus its success, in this work, we attempt to draw insights from the literature on collective intelligence and, based on these, present a novel artifact that aims to empower organizations’ BI by supporting the organizations’ employees in establishing trust and sense when working up with new ideas and solutions. The proposed artifact utilizes a novel reputation model, which calculates reputation based on an individual’s area of expertise and reputation score, in order to assist in establishing trust among system users, and thus helps improve decision-making processes.

The "digital transformation" is perceived as the key enabler for increasing wealth and well-being by many in politics, media and among the citizens alike. In the same vein, e-Government steadily received and receives more and more attention. e-Government gives rise to complex, large-scale system landscapes consisting of many players and technological systems - and we call such system landscapes e-Government ecosystems. In this talk, we are interested in the architecture of e-Government ecosystems. "Form ever follows function." Now, what is the function that determines e-Government? And what is the form in which it manifests? After briefly reviewing the purpose of e-Government from a democratic as well as a technocratic viewpoint, we will discover the primacy of the state's institutional design in the architecture of e-Government ecosystems. From there, we will arrive at the notion of data governance architecture, which provides the core of all system design efforts in e-Government. A data governance architecture maps data assets to accountable legal entities and represents the essence of co-designing institutions and technological systems. Against the background of what has been achieved, we review a series of established and emerging technologies that have been explicitly designed for or are otherwise relevant for building e-Government systems.

Building on the rising interest in online crowdsourcing platforms, and the ever-rising concerns over mental health issues worldwide; in this paper, we propose a novel citizen-oriented web-based Collective Intelligence (CI) platform called 'CommunityCare'. The platform is meant to be focused on end-users' communities and aims to empower its users by allowing them to work collectively when helping those suffering from mental health issues such as depression, anxiety, and stress. Through our work, we attempt to make two distinct contributions: first, we elucidate an abstract yet novel CI platform for mental health, that could enable citizen volunteers and medical practitioners to work together to help those suffering from psychological/behavioural issues; and second, we evaluate our previously proposed 'generic' CI framework by utilizing the said platform as a use case for the same. We describe the 'CommunityCare' platform through the four primary components of CI systems, namely: staffing, processes, goals and motivation.

In this talk, we consider Collective Intelligence (CI) systems [11-13, 15] from an organizational perspective. CI systems offer a solution to problems that need cognitive skills, problem-solving capabilities, knowledge, know-how or experience at large scale. They help to facilitate and streamline large-scale problem-solving endeavours. The organizational perspective on CI systems offers us two strands of discussion. On the one hand, it can be about understanding the potential of CI systems for today's organizations. On the other hand, CI systems can be considered as organizations themselves and can be investigated as such.

With the emergence of new web paradigms, we currently see a tremendous increase in interest in different applications of the social web. However, this rising interest in social platforms has also led to the rise of numerous new challenges, especially issues like fake-news, filter-bubble, and web-page-decay. Motivated by these issues, we propose a novel DOM-oriented edit distance anchoring approach that enables stable tracking of ephemeral web content. We argue that such a stable anchoring approach could indeed foster the creation of a browser-based crowdsourcing information system that could help us tackle rising issues on the web. Building on this hypothesis, we present a new web annotation tool called Tippanee, that is designed around the proposed anchoring approach; and provides its users with a collaborative environment where web users could help in improving the quality of textual content on the web by annotating, archiving, linking, sharing and semantically describing content on-the-fly.