research paper / thesis / dissertation

Can An Online Game Help Create A Better Test For TB?

Curated on May 3, 2016May 29, 2019 by Stefaan Verhulst

Esther Landhuis at NPR: “Though it’s the world’s top infectious killer, tuberculosis is surprisingly tricky to diagnose. Scientists think that video gamers can help them create a better diagnostic test.

An online puzzle released Monday will see whether the researchers are right. Players of a Web-based game called EteRNA will try to design a sensor molecule that could potentially make diagnosing TB as easy as taking a home pregnancy test. The TB puzzle marks the launch of “EteRNA Medicine.”

The idea of rallying gamers to fight TB arose as two young Stanford University professors chatted over dinner at a conference last May. Rhiju Das, a biochemist who helped create EteRNA, told bioinformatician Purvesh Khatri about the game, which challenges nonexperts to design RNA molecules that fold into target shapes.

RNA molecules play key roles in biology and disease. Some brain disorders can be traced to problems with RNA folding. Viruses such as H1N1 flu and HIV depend on RNA elements to replicate and infect cells.

Das wants to “fight fire with fire” — that is, to disrupt the RNA involved in a disease or virus by crafting new tools that are themselves made of RNA molecules. EteRNA players learn RNA design principles with each puzzle they solve.

Khatri was intrigued by the notion of engaging the public to solve problems. His lab develops novel diagnostics using publicly available data sets. The team had just published a paper on a set of genes that could help diagnose sepsis and had other papers under review on influenza and TB.

In an “Aha!” moment during their dinner chat, Khatri says, he and Das realized “how awesome it would be to sequentially merge our two approaches — to use public data to find a diagnostic marker for a disease, and then use the public’s help to develop the test.”

TB seemed opportune as it has a simple diagnostic signature — a set of three human genes that turn up or down predictably after TB infection. When checked across gene data on thousands of blood samples from 14 groups of people around the globe, the behavior of the three-gene set readily identified people with active TB, distinguishing them from individuals who had latent TB or other diseases.

Those findings, published in February, have gotten serious attention — not only from curious patients and doctors but also from humanitarian groups eager to help bring a better TB test to market. It can currently take several tests to tell whether a person has active TB, including a chest X-ray and sputum test. The Bill & Melinda Gates Foundation has started sending data to help the Stanford team validate a test based on the newly identified TB gene signature, says study leader Khatri, who works at the university’s Center for Biomedical Informatics Research….(More)”

Beyond the Digital Divide: Towards a Situated Approach to Open Data

Curated on May 3, 2016August 3, 2018 by Stefaan Verhulst

Paper by Bezuidenhout, L, Rappert, B, Kelly, A and Leonelli, S: “Poor provision of information and communication technologies in low/middle-income countries represents a concern for promoting Open Data. This is often framed as a “digital divide” and addressed through initiatives that increase the availability of information and communication technologies to researchers based in low-resourced environments, as well as the amount of resources freely accessible online, including data themselves. Using empirical data from a qualitative study of lab-based research in Africa we highlight the limitations of such framing and emphasize the range of additional factors necessary to effectively utilize data available online. We adopt the ‘Capabilities Approach’ proposed by Sen to highlight the distinction between simply making resources available, and doing so while fostering researchers’ ability to use them. This provides an alternative orientation that highlights the persistence of deep inequalities within the seemingly egalitarian-inspired Open Data landscape. The extent and manner of future data sharing, we propose, will hinge on the ability to respond to the heterogeneity of research environments…(More)“

A Political Economy Framework for the Urban Data Revolution

Curated on April 30, 2016August 3, 2018 by Stefaan Verhulst

Research Report by Ben Edwards, Solomon Greene and G. Thomas Kingsley: “With cities growing rapidly throughout much of the developing world, the global development community increasingly recognizes the need to build the capacities of local leaders to analyze and apply data to improve urban policymaking and service delivery. Civil society leaders, development advocates, and local governments are calling for an “urban data revolution” to accompany the new UN Sustainable Development Goals (SDGs), a revolution that would provide city leaders new tools and resources for data-driven governance. The need for improved data and analytic capacity in rapidly growing cities is clear, as is the exponential increase in the volume and types of data available for policymaking. However, the institutional arrangements that will allow city leaders to use data effectively remain incompletely theorized and poorly articulated.

This paper begins to fill that gap with a political economy framework that introduces three new concepts: permission, incentive, and institutionalization. We argue that without addressing the permission constraints and competing incentives that local government officials face in using data, investments in improved data collection at the local level will fail to achieve smarter urban policies. Granting permission and aligning incentives are also necessary to institutionalize data-driven governance at the local level and create a culture of evidence-based decisionmaking that outlives individual political administrations. Lastly, we suggest how the SDGs could support a truly transformative urban data revolution in which city leaders are empowered and incentivized to use data to drive decisionmaking for sustainable development…(More)”

Crowdsourcing global governance: sustainable development goals, civil society, and the pursuit of democratic legitimacy

Curated on April 30, 2016August 3, 2018 by Stefaan Verhulst

Paper by Joshua C. Gellers in International Environmental Agreements: Politics, Law and Economics: “To what extent can crowdsourcing help members of civil society overcome the democratic deficit in global environmental governance? In this paper, I evaluate the utility of crowdsourcing as a tool for participatory agenda-setting in the realm of post-2015 sustainable development policy. In particular, I analyze the descriptive representativeness (e.g., the degree to which participation mirrors the demographic attributes of non-state actors comprising global civil society) of participants in two United Nations orchestrated crowdsourcing processes—the MY World survey and e-discussions regarding environmental sustainability. I find that there exists a perceptible demographic imbalance among contributors to the MY World survey and considerable dissonance between the characteristics of participants in the e-discussions and those whose voices were included in the resulting summary report. The results suggest that although crowdsourcing may present an attractive technological approach to expand participation in global governance, ultimately the representativeness of that participation and the legitimacy of policy outputs depend on the manner in which contributions are solicited and filtered by international institutions….(More)”

The Effects of Income Transparency on Well-Being: Evidence from a Natural Experiment

Curated on April 29, 2016August 3, 2018 by Stefaan Verhulst

Paper by Ricardo Perez-Truglia: “In 2001, Norwegian tax records became easily accessible online, allowing individuals to observe the incomes of others. Because of self-image and social-image concerns, higher income transparency can increase the differences in well-being between rich and poor. We test this hypothesis using survey data from 1985-2013. We identify the causal effect of income transparency on subjective well-being by using differences-in-differences, triple-differences, and event-study analyses. We find that higher income transparency increased the happiness gap between rich and poor by 29% and the life satisfaction gap by 21%. Additionally, higher income transparency corrected misperceptions about the income distribution and changed preferences for redistribution. Last, we use the estimates for back-of-the-envelope calculations of the value of self-image and social-image….(More)”

The Wisdom of the Many in Global Governance: An Epistemic-Democratic Defence of Diversity and Inclusion

Curated on April 28, 2016August 3, 2018 by Stefaan Verhulst

Paper by Stevenson, H. : “Over the past two decades, a growing body of literature has highlighted moral reasons for taking global democracy seriously. This literature justifies democracy on the grounds of its intrinsic value. But democracy also has instrumental value: the rule of the many is epistemically superior to the rule of one or the rule of the few. This paper draws on the tradition of epistemic democracy to develop an instrumentalist justification for democratizing global governance. The tradition of epistemic democracy is enjoying a renaissance within political theory and popular non-fiction, yet its relevance for international relations remains unexplored. I develop an epistemic-democratic framework for evaluating political institutions, which is constituted by three principles. The likelihood of making correct decisions within institutions of global governance will be greater when (1) human development and capacity for participation is maximised; (2) the internal cognitive diversity of global institutions is maximised; and (3) public opportunities for sharing objective and subjective knowledge are maximised. Applying this framework to global governance produces a better understanding of the nature and extent of the ‘democratic deficit’ of global governance, as well as the actions required to address this deficit….(More)”

E-Regulation and the Rule of Law: Smart Government, Institutional Information Infrastructures, and Fundamental Values

Curated on April 20, 2016August 3, 2018 by Stefaan Verhulst

Rónán Kennedy in Information Polity: “Information and communications technology (ICT) is increasingly used in bureaucratic and regulatory processes. With the development of the ‘Internet of Things’, some researchers speak enthusiastically of the birth of the ‘Smart State’. However, there are few theoretical or critical perspectives on the role of ICT in these routine decision-making processes and the mundane work of government regulation of economic and social activity. This paper therefore makes an important contribution by putting forward a theoretical perspective on smartness in government and developing a values-based framework for the use of ICT as a tool in the internal machinery of government.

It critically reviews the protection of the rule of law in digitized government. As an addition to work on e-government, a new field of study, ‘e-regulation’ is proposed, defined, and critiqued, with particular attention to the difficulties raised by the use of models and simulation. The increasing development of e-regulation could compromise fundamental values by embedding biases, software errors, and mistaken assumptions deeply into government procedures. The article therefore discusses the connections between the ‘Internet of Things’, the development of ‘Ambient Law’, and how the use of ICT in e-regulation can be a support for or an impediment to the operation of the rule of law. It concludes that e-government research should give more attention to the processes of regulation, and that law should be a more central discipline for those engaged in this activity….(More)“

Accountable Algorithms

Curated on April 20, 2016August 3, 2018 by Stefaan Verhulst

Paper by Joshua A. Kroll et al: “Many important decisions historically made by people are now made by computers. Algorithms count votes, approve loan and credit card applications, target citizens or neighborhoods for police scrutiny, select taxpayers for an IRS audit, and grant or deny immigration visas.

The accountability mechanisms and legal standards that govern such decision processes have not kept pace with technology. The tools currently available to policymakers, legislators, and courts were developed to oversee human decision-makers and often fail when applied to computers instead: for example, how do you judge the intent of a piece of software? Additional approaches are needed to make automated decision systems — with their potentially incorrect, unjustified or unfair results — accountable and governable. This Article reveals a new technological toolkit to verify that automated decisions comply with key standards of legal fairness.

We challenge the dominant position in the legal literature that transparency will solve these problems. Disclosure of source code is often neither necessary (because of alternative techniques from computer science) nor sufficient (because of the complexity of code) to demonstrate the fairness of a process. Furthermore, transparency may be undesirable, such as when it permits tax cheats or terrorists to game the systems determining audits or security screening.

The central issue is how to assure the interests of citizens, and society as a whole, in making these processes more accountable. This Article argues that technology is creating new opportunities — more subtle and flexible than total transparency — to design decision-making algorithms so that they better align with legal and policy objectives. Doing so will improve not only the current governance of algorithms, but also — in certain cases — the governance of decision-making in general. The implicit (or explicit) biases of human decision-makers can be difficult to find and root out, but we can peer into the “brain” of an algorithm: computational processes and purpose specifications can be declared prior to use and verified afterwards.

The technological tools introduced in this Article apply widely. They can be used in designing decision-making processes from both the private and public sectors, and they can be tailored to verify different characteristics as desired by decision-makers, regulators, or the public. By forcing a more careful consideration of the effects of decision rules, they also engender policy discussions and closer looks at legal standards. As such, these tools have far-reaching implications throughout law and society.

Part I of this Article provides an accessible and concise introduction to foundational computer science concepts that can be used to verify and demonstrate compliance with key standards of legal fairness for automated decisions without revealing key attributes of the decision or the process by which the decision was reached. Part II then describes how these techniques can assure that decisions are made with the key governance attribute of procedural regularity, meaning that decisions are made under an announced set of rules consistently applied in each case. We demonstrate how this approach could be used to redesign and resolve issues with the State Department’s diversity visa lottery. In Part III, we go further and explore how other computational techniques can assure that automated decisions preserve fidelity to substantive legal and policy choices. We show how these tools may be used to assure that certain kinds of unjust discrimination are avoided and that automated decision processes behave in ways that comport with the social or legal standards that govern the decision. We also show how algorithmic decision-making may even complicate existing doctrines of disparate treatment and disparate impact, and we discuss some recent computer science work on detecting and removing discrimination in algorithms, especially in the context of big data and machine learning. And lastly in Part IV, we propose an agenda to further synergistic collaboration between computer science, law and policy to advance the design of automated decision processes for accountability….(More)”

Smart City and Smart Government: Synonymous or Complementary?

Curated on April 19, 2016August 3, 2018 by Stefaan Verhulst

Paper by Leonidas G. Anthopoulos and Christopher G. Reddick: “Smart City is an emerging and multidisciplinary domain. It has been recently defined as innovation, not necessarily but mainly through information and communications technologies (ICT), which enhance urban life in terms of people, living, economy, mobility and governance. Smart government is also an emerging topic, which attracts increasing attention from scholars who work in public administration, political and information sciences. There is no widely accepted definition for smart government, but it appears to be the next step of e-government with the use of technology and innovation by governments for better performance. However, it is not clear whether these two terms co-exist or concern different domains. The aim of this paper is to investigate the term smart government and to clarify its meaning in relationship to the smart city. In this respect this paper performed a comprehensive literature review analysis and concluded that smart government is shown not to be synonymous with smart city. Our findings show that smart city has a dimension of smart government, and smart government uses smart city as an area of practice. The authors conclude that smart city is complimentary, part of larger smart government movement….(More)”