The Open Government Partnership: Mere Smokescreen or New Paradigm?

In 2011, on the initiative of US President Barack Obama 8 governments and 9 civil society organizations (CSOs) came together to create the Open Government Partnership (OGP). The OGP was proclaimed as a new paradigm in promoting open government and democratic principles through the creation of participatory mechanisms involving governments and CSOs. This article aims to examine in more detail if the OGP, after 5 years in existence, has lived up to the initial proclamations as a new model of democracy-promotion at the global level. Departing from theoretical considerations on the potential of participatory mechanisms for the promotion of democratic processes, the article analyzes the OGP processes of 3 founding members, Brazil, the US, and the UK. Although the structure of the OGP is highly innovative in many respects, the findings suggest that the governments of the 3 countries examined have used the OGP as a smokescreen to distract from on-going corruption, lacking transparency, and government secrecy. This article contributes to research on the possibilities and challenges of effectively democratizing global governance mechanisms through the involvement of governments and civil society actors

The Role of Cities in Shaping Transnational Law in Climate Governance

Today, many human rights norms are promoted and reinforced as transnational law in transnational settings involving a multiplicity of state and non‐state actors. Over the last few years, debates about constitutionalising a human right to an adequate environment as a legal instrument to confront the devastating consequences of climate change have steadily grown. While the role of states and non‐state actors from civil society in promoting human rights legislation is widely acknowledged, the role of cities remains largely unexplored. Cities are major greenhouse gas emitters, profoundly affected by the various consequences of climate change, with more than half of the world population living in urban environments. By providing a brief overview of the principal activities of the largest city networks on climate action, ICLEI – Local Governments for Sustainability and the C40 Climate Action Leadership Group – the article argues that cities have turned into crucial actors in shaping and promoting environmental rights, essentially a human right to an adequate environment

Brazil's Organization of the NETmundial Meeting: Moving Forward in Global Internet Governance

In the face of the apparent weaknesses of the state system to find meaningful solutions to global challenges such as the regulation of the Internet, more democratic forms of governance may show more creative and innovative ways to move forward. Instead of focusing once again on the usual suspects in this debate (civil society actors, Western state actors, or international organizations), this article sheds light on the role of Brazil, a developing democracy from the Global South. The article examines Brazil's organization of the 2014 Global Multistakeholder Meeting on the Future of Internet Governance (NETmundial) in São Paulo. NETmundial allowed governments, civil society organizations, private actors, and local Internet communities to elaborate a human rights declaration on global Internet governance. The article explores why this multistakeholder process was so successful compared to previous multistakeholder approaches in global Internet governance. In the same vein, it argues that Brazil was capable of organizing a multistakeholder meeting based on three particular democratic elements: the promotion of human rights, the creation of participatory mechanisms, and the establishment of accountability mechanisms

On the use of uavs in mining and archaeology - geo-accurate 3d reconstructions using various platforms and terrestrial views

During the last decades photogrammetric computer vision systems have been well established in scientific and commercial applications. Especially the increasing affordability of unmanned aerial vehicles (UAVs) in conjunction with automated multi-view processing pipelines have resulted in an easy way of acquiring spatial data and creating realistic and accurate 3D models. With the use of multicopter UAVs, it is possible to record highly overlapping images from almost terrestrial camera positions to oblique and nadir aerial images due to the ability to navigate slowly, hover and capture images at nearly any possible position. Multi-copter UAVs thus are bridging the gap between terrestrial and traditional aerial image acquisition and are therefore ideally suited to enable easy and safe data collection and inspection tasks in complex or hazardous environments. In this paper we present a fully automated processing pipeline for precise, metric and geo-accurate 3D reconstructions of complex geometries using various imaging platforms. Our workflow allows for georeferencing of UAV imagery based on GPS-measurements of camera stations from an on-board GPS receiver as well as tie and control point information. Ground control points (GCPs) are integrated directly in the bundle adjustment to refine the georegistration and correct for systematic distortions of the image block. We discuss our approach based on three different case studies for applications in mining and archaeology and present several accuracy related analyses investigating georegistration, camera network configuration and ground sampling distance. Our approach is furthermore suited for seamlessly matching and integrating images from different view points and cameras (aerial and terrestrial as well as inside views) into one single reconstruction. Together with aerial images from a UAV, we are able to enrich 3D models by combining terrestrial images as well inside views of an object by joint image processing to generate highly detailed, accurate and complete reconstructions

ON THE USE OF UAVS IN MINING AND ARCHAEOLOGY - GEO-ACCURATE 3D RECONSTRUCTIONS USING VARIOUS PLATFORMS AND TERRESTRIAL VIEWS

During the last decades photogrammetric computer vision systems have been well established in scientific and commercial applications. Especially the increasing affordability of unmanned aerial vehicles (UAVs) in conjunction with automated multi-view processing pipelines have resulted in an easy way of acquiring spatial data and creating realistic and accurate 3D models. With the use of multicopter UAVs, it is possible to record highly overlapping images from almost terrestrial camera positions to oblique and nadir aerial images due to the ability to navigate slowly, hover and capture images at nearly any possible position. Multi-copter UAVs thus are bridging the gap between terrestrial and traditional aerial image acquisition and are therefore ideally suited to enable easy and safe data collection and inspection tasks in complex or hazardous environments. In this paper we present a fully automated processing pipeline for precise, metric and geo-accurate 3D reconstructions of complex geometries using various imaging platforms. Our workflow allows for georeferencing of UAV imagery based on GPS-measurements of camera stations from an on-board GPS receiver as well as tie and control point information. Ground control points (GCPs) are integrated directly in the bundle adjustment to refine the georegistration and correct for systematic distortions of the image block. We discuss our approach based on three different case studies for applications in mining and archaeology and present several accuracy related analyses investigating georegistration, camera network configuration and ground sampling distance. Our approach is furthermore suited for seamlessly matching and integrating images from different view points and cameras (aerial and terrestrial as well as inside views) into one single reconstruction. Together with aerial images from a UAV, we are able to enrich 3D models by combining terrestrial images as well inside views of an object by joint image processing to generate highly detailed, accurate and complete reconstructions

Transforming the European Union's phosphorus governance through holistic and intersectoral framings

This review paper presents a critical perspective on the transformation of phosphorus governance in the European Union to support food and environmental security, which are subject to systemic shocks. It presents three major limitations that act as constraints to this process: (1) the predominance of technical studies, which produce isolated meanings that fail to address the socio-political aspect of phosphorus management and cannot be translated into policy foresight; (2) approaches to change dominated by the linear resource efficiency paradigm narrowly confined within sectoral responses to system shocks; and (3) the constrained policy understanding of the circular economy, which hampers system change as phosphorus reuse is seen primarily as part of the biological cycle of the circular economy and does not advance critical perspectives. We argue that the siloed and heavy regulatory load related to phosphorus produces technocratic and incremental policy revisions, singular state-level approaches and reductionist prisms that exclude extraterritoriality. These exacerbate the inability of institutions to translate technical studies into policy foresight and counter the pervasiveness of linearity. Phosphorus requires instead a holistic and intersectoral governance object that is integrated with the multiple transition instruments on the policy-making agenda of the European Union. To achieve phosphorus sustainability and avoid the dependence on shocks for its self-renewal, phosphorus governance needs to overcome the technocratic incrementalism of individual sectors and adapt to alternative discursive framings that transcend the existing compartmentalization of its meanings. This would require disentangling phosphorus as a contested arena of controversial stakeholder priorities and selectively amplifying the discursive framings that can politicize and enhance its ubiquitous importance. While phosphorus has its unique properties, such an approach can be of relevance to other elements

Riverkin: Seizing the moment to remake vital relations in the United Kingdom and beyond

1. We show how the dire state of the Earth's rivers entangles intimately with ‘thingifying’ processes at the heart of colonial modernity. Known in many precolonial and Indigenous contexts as person-like kin, we describe how rivers the world over have been re-done primarily as thing—amoral, controllable, a potential commodity like anything else. 2. We develop and work with a provisory concept of kin as those constituents of environments that reciprocally nurture, and contribute to the substance of, one another's life and wellbeing. 3. We show how kinship with rivers figures centrally in primarily Indigenous-led struggles in various regions of the globe for the recognition and enforcement of river personhood and rights. This is partly because people are motivated to fight passionately for their kin. 4. With some careful caveats, we argue that associating river kinship exclusively with Indigenous worlds undermines its potential for global impact. Thus, as an apposite case study, the latter part of the paper focuses on some of the social–ecological trends which we suggest are opening up the possibility for the re-establishment of ‘riverkinship’ in the United Kingdom. 5. We reflect on the potential for riverkinship to help cultivate political constellations fitting to the challenges of the Anthropocene

Real-time smart and standalone vision/IMU navigation sensor

In this paper, we present a smart, standalone, multi-platform stereo vision/IMU-based navigation system, providing ego-motion estimation. The real-time visual odometry algorithm is run on a nano ITX single-board computer (SBC) of 1.9 GHz CPU and 16-core GPU. High-resolution stereo images of 1.2 megapixel provide high-quality data. Tracking of up to 750 features is made possible at 5 fps thanks to a minimal, but efficient, features detection–stereo matching–feature tracking scheme runs on the GPU. Furthermore, the feature tracking algorithm benefits from assistance of a 100 Hz IMU whose accelerometer and gyroscope data provide inertial features prediction enhancing execution speed and tracking efficiency. In a space mission context, we demonstrate robustness and accuracy of the real-time generated 6-degrees-of-freedom trajectories from our visual odometry algorithm. Performance evaluations are comparable to ground truth measurements from an external motion capture system

Using the properties of Primate Motion Sensitive Neurons to extract camera motion and depth from brief 2-D Monocular Image Sequences

Humans and most animals can run/fly and navigate efficiently through cluttered environments while avoiding obstacles in their way. Replicating this advanced skill in autonomous robotic vehicles currently requires a vast array of sensors coupled with computers that are bulky, heavy and power hungry. The human eye and brain have had millions of years to develop an efficient solution to the problem of visual navigation and we believe that it is the best system to reverse engineer. Our brain and visual system appear to use a very different solution to the visual odometry problem compared to most computer vision approaches. We show how a neural-based architecture is able to extract self-motion information and depth from monocular 2-D video sequences and highlight how this approach differs from standard CV techniques. We previously demonstrated how our system works during pure translation of a camera. Here, we extend this approach to the case of combined translation and rotation