Cognitive Identity Management: Risks, Trust and Decisions using Heterogeneous Sources

This work advocates for cognitive biometric-enabled systems that integrate identity management, risk assessment and trust assessment. The cognitive identity management process is viewed as a multi-state dynamical system, and probabilistic reasoning is used for modeling of this process. This paper describes an approach to design a platform for risk and trust modeling and evaluation in the cognitive identity management built upon processing heterogeneous data including biometrics, other sensory data and digital ID. The core of an approach is the perception-action cycle of each system state. Inference engine is a causal network that uses various uncertainty metrics and reasoning mechanisms including Dempster-Shafer and Dezert- Smarandache beliefs

Wealth Building in Rural America: Perspective, Knowledge, Outlook

Wealth Building in Rural America: Perspective, Knowledge, Outloo

The Multi-Agent Transport Simulation MATSim

"The MATSim (Multi-Agent Transport Simulation) software project was started around 2006 with the goal of generating traffic and congestion patterns by following individual synthetic travelers through their daily or weekly activity programme. It has since then evolved from a collection of stand-alone C++ programs to an integrated Java-based framework which is publicly hosted, open-source available, automatically regression tested. It is currently used by about 40 groups throughout the world. This book takes stock of the current status. The first part of the book gives an introduction to the most important concepts, with the intention of enabling a potential user to set up and run basic simulations.The second part of the book describes how the basic functionality can be extended, for example by adding schedule-based public transit, electric or autonomous cars, paratransit, or within-day replanning. For each extension, the text provides pointers to the additional documentation and to the code base. It is also discussed how people with appropriate Java programming skills can write their own extensions, and plug them into the MATSim core. The project has started from the basic idea that traffic is a consequence of human behavior, and thus humans and their behavior should be the starting point of all modelling, and with the intuition that when simulations with 100 million particles are possible in computational physics, then behavior-oriented simulations with 10 million travelers should be possible in travel behavior research. The initial implementations thus combined concepts from computational physics and complex adaptive systems with concepts from travel behavior research. The third part of the book looks at theoretical concepts that are able to describe important aspects of the simulation system; for example, under certain conditions the code becomes a Monte Carlo engine sampling from a discrete choice model. Another important aspect is the interpretation of the MATSim score as utility in the microeconomic sense, opening up a connection to benefit cost analysis. Finally, the book collects use cases as they have been undertaken with MATSim. All current users of MATSim were invited to submit their work, and many followed with sometimes crisp and short and sometimes longer contributions, always with pointers to additional references. We hope that the book will become an invitation to explore, to build and to extend agent-based modeling of travel behavior from the stable and well tested core of MATSim documented here.

Ecosystem services, sustainable rural development and protected áreas

Enhancing social and economic development while preserving nature is one of the major challenges for humankind in the current century. The Millennium Ecosystem Assessment showed an alarming degradation of ecosystems and exacerbated poverty for many groups of people across the world due to unprecedented changes in ecosystems caused by human activities in the 20th century. Sustainable Rural Development is key to maintaining active local communities in rural and semi-natural areas, avoiding depopulation, and preserving high-ecological-value sites, including protected areas. Establishing protected areas is the most common strategy to preserve biodiversity around the world with the advantage of promoting the supply of ecosystem services. However, depending how it affects economic opportunities and the access to natural resources, it can either attract or repel human settlements. The convergence of development and conservation requires decision-making processes capable of aligning the needs and expectations of rural communities and the goals of biodiversity conservation. The articles compiled in this Special Issue (nine research papers and two review papers) make important contributions to this challenge from different approaches, disciplines and regions in the world.info:eu-repo/semantics/publishedVersio

Suspect Until Proven Guilty, a Problematization of State Dossier Systems via Two Case Studies: The United States and China

This dissertation problematizes the state dossier system (SDS): the production and accumulation of personal information on citizen subjects exceeding the reasonable bounds of risk management. SDS - comprising interconnecting subsystems of records and identification - damage individual autonomy and self-determination, impacting not only human rights, but also the viability of the social system. The research, a hybrid of case-study and cross-national comparison, was guided in part by a theoretical model of four primary SDS driving forces: technology, political economy, law and public sentiment. Data sources included government documents, academic texts, investigative journalism, NGO reports and industry white papers. The primary analytical instrument was the juxtaposition of two individual cases: the U.S. and China. Research found that constraints on the extent of the U.S. SDS today may not be significantly different from China\u27s, a system undergoing significant change amidst growing public interest in privacy and anonymity. Much activity within the U.S., such as the practice of suspicious activity reporting, is taking place outside the domain of federal privacy laws, while ID systems appear to advance and expand despite clear public opposition. Momentum for increasingly comprehensive SDS appears to be growing, in part because the harms may not be immediately evident to the data subjects. The future of SDS globally will depend on an informed and active public; law and policy will need to adjust to better regulate the production and storage of personal information. To that end, the dissertation offers a general model and linguistic toolkit for the further analysis of SDS

Flame, Furnace, Fuel: Creating Kansas City in the Nineteenth Century

Though this work is a fuel and energy history of Kansas City from 1820 to 1920, it also provides a tool to describe and analyze fuel and energy transitions. The four parts follow the rise and fall of wood, coal and oil as their use grows to a peak and, in the case of wood, declines. The founding and growth of Kansas City as an “instant city” that grew from zero population to over three hundred twenty thousand in a hundred years embodies the increased use of fuels and energy in an urban setting and serves as a case study. This work differentiates between these two elements throughout the one-hundred-year-history to offer a clarification in terminology and theory. The narrative begins in the Wood age, continues to the peak of the Coal Age and introduces the Oil Age as it was to 1920

Flame, Furnace, Fuel: Creating Kansas City in the Nineteenth Century

Though this work is a fuel and energy history of Kansas City from 1820 to 1920, it also provides a tool to describe and analyze fuel and energy transitions. The four parts follow the rise and fall of wood, coal and oil as their use grows to a peak and, in the case of wood, declines. The founding and growth of Kansas City as an “instant city” that grew from zero population to over three hundred twenty thousand in a hundred years embodies the increased use of fuels and energy in an urban setting and serves as a case study. This work differentiates between these two elements throughout the one-hundred-year-history to offer a clarification in terminology and theory. The narrative begins in the Wood age, continues to the peak of the Coal Age and introduces the Oil Age as it was to 1920

High Risk Hustling: Payment Processors Sexual Proxies and Discrimination by Design

Sex workers are increasingly documenting financial discrimination when accessing banks, payment processors and financial providers. As hustle economy workers, barriers to digital financial infrastructure impact sex workers’ abilities to maintain their livelihoods, resulting in structural marginalization and vulnerability to violence. Internationally, peer-led sex worker organizations have documented payment processors that discriminate, collating public policies and user experiences. They report refusals of merchant services, being unable to open accounts, being denied loans, finance or insurance, higher premiums, and having money frozen, withheld or forfeited. In this article, we examine the policies of banks and payment providers who refuse service to sex workers, sex industry businesses and other sexual purposes. Drawing from sex worker media from two different regulatory environments, the United States and Australia, we show how sex workers are identified via multiple means, including through algorithmic detection, malicious flagging, unique business names, service descriptions, external links, use of pseudonyms, linking of personal and professional identities, and sex work activism. We argue that the ‘sexual proxies’ that identify sex workers are founded on problematic assumptions of sex as high risk and operate to capture a wide variety of uses, including access to sex education, abortion services and mutual aid funds. We position financial discrimination against sex workers as a multi-layered problem, stemming from classist, racist, transphobic, and whorephobic laws and policies, accelerated by automated risk assessments and privatization of financial infrastructure. Financial discrimination is enabled by the criminalization of sex work, and, due to the exportation of U.S. policy, continues even in jurisdictions where sex work is decriminalized, buoyed by anti-trafficking policies that conflate sex work with exploitation and identity verification policies driven by anti-terrorism and anti-fraud legislation. As a result, financial discrimination disproportionately impacts sex workers who are undocumented, marginalized or most at risk of violence. The current challenge facing sex workers is how to survive in this system, including by holding payment processors accountable. We outline a series of potential accountability measures, including an overhaul of law and policy frameworks