Stefaan Verhulst

Paper by Albert Meijer & Marcel Thaens: “The positive features of innovation are well known but the dark side of public innovation has received less attention. To fill this gap, this article develops a theoretical understanding of the dark side of public innovation. We explore a diversity of perverse effects on the basis of a literature review and an expert consultation. We indicate that these perverse effects can be categorized on two dimensions: low public value and low public control. We confront this exploratory analysis with the literature and conclude that the perverse effects are not coincidental but emerge from key properties of innovation processes such as creating niches for innovation and accepting uncertainty about public value outcomes. To limit perverse effects, we call for the dynamic assessment of public innovation. The challenge for innovators is to acknowledge the dark side and take measures to prevent perverse effects without killing the innovativeness of organizations…(More)“.

Kathy Peach at The Conversation: “It should have been artificial intelligence’s moment in the sun. With billions of dollars of investment in recent years, AI has been touted as a solution to every conceivable problem. So when the COVID-19 pandemic arrived, a multitude of AI models were immediately put to work.

Some hunted for new compounds that could be used to develop a vaccine, or attempted to improve diagnosis. Some tracked the evolution of the disease, or generated predictions for patient outcomes. Some modelled the number of cases expected given different policy choices, or tracked similarities and differences between regions.

The results, to date, have been largely disappointing. Very few of these projects have had any operational impact – hardly living up to the hype or the billions in investment. At the same time, the pandemic highlighted the fragility of many AI models. From entertainment recommendation systems to fraud detection and inventory management – the crisis has seen AI systems go awry as they struggled to adapt to sudden collective shifts in behaviour.

The unlikely hero

The unlikely hero emerging from the ashes of this pandemic is instead the crowd. Crowds of scientists around the world sharing data and insights faster than ever before. Crowds of local makers manufacturing PPE for hospitals failed by supply chains. Crowds of ordinary people organising through mutual aid groups to look after each other.

COVID-19 has reminded us of just how quickly humans can adapt existing knowledge, skills and behaviours to entirely new situations – something that highly-specialised AI systems just can’t do. At least yet….

In one of the experiments, researchers from the Istituto di Scienze e Tecnologie della Cognizione in Rome studied the use of an AI system designed to reduce social biases in collective decision-making. The AI, which held back information from the group members on what others thought early on, encouraged participants to spend more time evaluating the options by themselves.

The system succeeded in reducing the tendency of people to “follow the herd” by failing to hear diverse or minority views, or challenge assumptions – all of which are criticisms that have been levelled at the British government’s scientific advisory committees throughout the pandemic…(More)”.

Paper by Kaustav Bhattacharjee, Min Chen. and Aritra Dasgupta: “Preservation of data privacy and protection of sensitive information from potential adversaries constitute a key socio‐technical challenge in the modern era of ubiquitous digital transformation. Addressing this challenge needs analysis of multiple factors: algorithmic choices for balancing privacy and loss of utility, potential attack scenarios that can be undertaken by adversaries, implications for data owners, data subjects, and data sharing policies, and access control mechanisms that need to be built into interactive data interfaces.

Visualization has a key role to play as part of the solution space, both as a medium of privacy‐aware information communication and also as a tool for understanding the link between privacy parameters and data sharing policies. The field of privacy‐preserving data visualization has witnessed progress along many of these dimensions. In this state‐of‐the‐art report, our goal is to provide a systematic analysis of the approaches, methods, and techniques used for handling data privacy in visualization. We also reflect on the road‐map ahead by analyzing the gaps and research opportunities for solving some of the pressing socio‐technical challenges involving data privacy with the help of visualization….(More)”.

Paper by Christopher Loynes, Jamal Ouenniche & Johannes De Smedt: “This paper provides the humanitarian community with an automated tool that can detect a disaster using tweets posted on Twitter, alongside a portal to identify local and regional Non-Governmental Organisations (NGOs) that are best-positioned to provide support to people adversely affected by a disaster. The proposed disaster detection tool uses a linear Support Vector Classifier (SVC) to detect man-made and natural disasters, and a density-based spatial clustering of applications with noise (DBSCAN) algorithm to accurately estimate a disaster’s geographic location. This paper provides two original contributions. The first is combining the automated disaster detection tool with the prototype portal for NGO identification. This unique combination could help reduce the time taken to raise awareness of the disaster detected, improve the coordination of aid, increase the amount of aid delivered as a percentage of initial donations and improve aid effectiveness. The second contribution is a general framework that categorises the different approaches that can be adopted for disaster detection. Furthermore, this paper uses responses obtained from an on-the-ground survey with NGOs in the disaster-hit region of Uttar Pradesh, India, to provide actionable insights into how the portal can be developed further…(More)”.

Report by Foteini Zampati et al: “Open Data offers a great potential for innovations from which the agricultural sector can benefit decisively due to a wide range of possibilities for further use. However, there are many inter-linked issues in the whole data value chain that affect the ability of farmers, especially the poorest and most vulnerable, to access, use and harness the benefits of data and data-driven technologies.

There are technical challenges and ethical and legal challenges as well. Of all these challenges, the ethical and legal aspects related to accessing and using data by the farmers and sharing farmers’ data have been less explored.

We aimed to identify gaps and highlight the often-complex legal issues related to open data in the areas of law (e.g. data ownership, data rights) policies, codes of conduct, data protection, intellectual property rights, licensing contracts and personal privacy.

This report is an output of the Kampala INSPIRE Hackathon 2020. The Hackathon addressed key topics identified by the IST-Africa 2020 conference, such as: Agriculture, environmental sustainability, collaborative open innovation, and ICT-enabled entrepreneurship.

The goal of the event was to continue to build on the efforts of the 2019 Nairobi INSPIRE Hackathon, further strengthening relationships between various EU projects and African communities. It was a successful event, with more than 200 participants representing 26 African countries. The INSPIRE Hackathons are not a competition, rather the main focus is building relationships, making rapid developments, and collecting ideas for future research and innovation….(More)”.

Institute for Government: “The Arts and Humanities Research Council and the Institute for Government have been working in partnership for six years on the Engaging with Government programme – a three-day course for researchers in the arts and humanities. This programme helps academics develop the knowledge and skills they need to engage effectively with government and parliamentary bodies at all levels, along with the other organisations involved in the policy-making process. We, in turn, have learned a huge amount from our participants, who now form an active alumni network brimming with expertise about how to engage with policy in practice. This guide brings together some of that learning.

Arts and humanities researchers tend to have fewer formal and established routes into government than scientists. But they can, and do, engage productively in policy making. They contribute both expertise (advice based on knowledge of a field) and evidence (facts and information) and provide new ways of framing policy debates that draw on philosophical, cultural or historical perspectives.

As this guide shows, there are steps that academics can take to improve their engagement with public policy and to make it meaningful for their research. While these activities may involve an investment of time, they offer the opportunity to make a tangible difference, and are often a source of great satisfaction and inspiration for further work.

The first part of this guide describes the landscape of policy making in the UK and some of the common ways academics can engage with it.

Part two sets out six lessons from the Engaging with Government programme, illustrated with practical examples from our alumni and speaker network. These lessons are:

• Understand the full range of individuals and groups involved in policy making – who are the key players and who do they talk to?
• Be aware of the political context – how does your research fit in with current thinking on the issue?
• Communicate in ways that policy makers find useful – consider your audience and be prepared to make practical recommendations.
• Develop and maintain networks – seek to make connections with people who share your policy interest, both in person and online.
• Remember that you are the expert – be prepared to share your general knowledge of a subject as well as your specific research.
• Adopt a long-term perspective – you will need to be open-minded and patient to engage successfully….(More)”.

Paper by Sarah Giest: “Nudging is seen to complement or replace existing policy tools by altering people’s choice architectures towards behaviors that align with government aims, but has fallen short in meeting those targets. Crucially, governments do not nudge citizens directly, but need private agents to nudge their consumers. Based on this notion, the paper takes on an institutional approach towards nudging. Rather than looking at the relationship between nudger and nudgee, the research analyses the regulatory and market structures that affect nudge implementation by private actors, captured by the ‘budge’ idea. Focusing on the European energy policy domain, the paper analyses the contextual factors of green nudges that are initiated by Member States, and implemented by energy companies. The findings show that in the smart meter context, there are regulatory measures that affect implementation of smart meters and that government has a central role to ‘budge’, due to the dependence on private agents….(More)”.

James Brian Byrd, Anna C. Greene, Deepashree Venkatesh Prasad, Xiaoqian Jiang & Casey S. Greene in Nature: “Data sharing anchors reproducible science, but expectations and best practices are often nebulous. Communities of funders, researchers and publishers continue to grapple with what should be required or encouraged. To illuminate the rationales for sharing data, the technical challenges and the social and cultural challenges, we consider the stakeholders in the scientific enterprise. In biomedical research, participants are key among those stakeholders. Ethical sharing requires considering both the value of research efforts and the privacy costs for participants. We discuss current best practices for various types of genomic data, as well as opportunities to promote ethical data sharing that accelerates science by aligning incentives….(More)”.

UNDP: “Since the COVID-19 pandemic arrived in Mexico, multiple citizen responses[1] have emerged to tackle its impacts: digital aid platforms such as Frena la Curva (Stop the curve) and México Covid19;  groups of makers that design medical and protective equipment; Zapotec indigenous women that teach how to make hand sanitizer at home; public buses that turn into mobile markets; and much more.

There are initiatives that aid 10, 20, 3,000 or more people; initiatives that operate inside a housing unit, a municipality or across the City. Some responses have come from civil society organizations; others from collectives of practitioners or from groups of friends and family; there are even those made out of groups of strangers that the pandemic turned into partners working for the same goal….

Within the plurality of initiatives that have emerged, sometimes, seemingly in a spontaneous way, there is a common denominator: people are reacting in a collaboratively way to the crisis to solve the needs that the pandemic is leaving behind.

Different research studies connect social cohesion and social capital with the response’s capacity of a community in situations of crisis and natural disasters; and with its subsequent recovery. These concepts —derived from sociology— include aspects such as the level of union; relationships and networks; and interaction between people in a community.

This can be seen when, for example, a group of people in a neighborhood gets together to buy groceries for neighbors who have lost their incomes. Also, when a collective of professionals react to the shortages of protective equipment for health workers by creating low-cost prototypes, or when a civil organization collaborates with local authorities to bring water to households that lack access to clean water.

It would seem that a high rate of social capital and social cohesion might ease the rise of the citizen initiatives that aim to tackle the challenges that ensue from the pandemic. These do not come out of nowhere….(More)”.

Book by Ronald Niezen: “Social justice and human rights movements are entering a new phase. Social media, artificial intelligence, and digital forensics are reshaping advocacy and compliance. Technicians, lawmakers, and advocates, sometimes in collaboration with the private sector, have increasingly gravitated toward the possibilities and dangers inherent in the nonhuman. #HumanRights examines how new technologies interact with older models of rights claiming and communication, influencing and reshaping the modern-day pursuit of justice.

Ronald Niezen argues that the impacts of information technologies on human rights are not found through an exclusive focus on sophisticated, expert-driven forms of data management but in considering how these technologies are interacting with other, “traditional” forms of media to produce new avenues of expression, public sympathy, redress of grievances, and sources of the self. Niezen considers various ways that the pursuit of justice is happening via new technologies, including crowdsourcing, social media–facilitated mobilizations (and enclosures), WhatsApp activist networks, and the selective attention of Google’s search engine algorithm. He uncovers how emerging technologies of data management and social media influence the ways that human rights claimants and their allies pursue justice, and the “new victimology” that prioritizes and represents strategic lives and types of violence over others. #HumanRights paints a striking and important panoramic picture of the contest between authoritarianism and the new tools by which people attempt to leverage human rights and bring the powerful to account….(More)”.