Farming Within Limits

Global agricultural production is alarmingly unsustainable. Manipulating living beings, their genetics, and entire ecosystems to produce food has always been a technological feat. Advancements in farming technology have made it possible to surpass critical thresholds of planetary sustainability. Technological change in agriculture generates tension between those who benefit and those who bear the costs. Agriculture produces more than enough to feed the world’s human population, but the global economy allocates food inequitably among people and redirects food to industrial feedlots, biofuel refineries, and the waste stream. Technical solutions alone cannot fix the underlying socioeconomic systems that produce unjust and unsustainable food systems. Here we offer a starting point to guide the assessment of agricultural technology for both sustainability and justice, starting with their relationship to the logic of growth and domination that got us here. How can technology serve system change? And how can farming transform the unjust systems it literally feeds

Information and interaction requirements for software tools supporting analogical design

AbstractOne mode of creative design is for designers to draw analogies that connect the design domain (e.g., a mechanical device) to some other domain from which inspiration is drawn (e.g., a biological system). The identification and application of analogies can be supported by software tools that store, structure, present, or propose source domain stimuli from which such analogies might be constructed. For these tools to be effective and not impact the design process in negative ways, they must fit well with the information and interaction needs of their users. However, the user requirements for these tools are seldom explicitly discussed. Furthermore, the literature that supports the identification of such requirements is distributed across a number of different domains, including those that address analogical design (especially biomimetics), creativity support tools, and human–computer interaction. The requirements that these literatures propose can be divided into those that relate to the information content that the tools provide (e.g., level of abstraction or mode of representation) and those that relate to the interaction qualities that the tools support (e.g., accessibility or shareability). Examining the relationships between these requirements suggests that tool developers should focus on satisfying the key requirements of open-endedness and accessibility while managing the conflicts between the other requirements. Attention to these requirements and the relationships between them promises to yield analogical design support tools that better permit designers to identify and apply source information in their creative work.Dr Gülşen Töre Yargın' s work was supported by the International Post Doctoral Research Fellowship Programme [BİDEB-2219] from the Scientific and Technological Research Council of Turkey (TÜBİTAK). Dr Nathan Crilly' s work was supported by an Early Career Fellowship [EP/K008196/1] from the UK s Engineering and Physical Sciences Research Council (EPSRC).This is the accepted manuscript. It will be embargoed until 27/10/2015. The final version is available from CUP at http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=9673077&fulltextType=RA&fileId=S089006041500007

Seeking social capital and expertise in a newly-formed research community: a co-author analysis

This exploratory study applies social network analysis techniques to existing, publicly available data to understand collaboration patterns within the co-author network of a federally-funded, interdisciplinary research program. The central questions asked: What underlying social capital structures can be determined about a group of researchers from bibliometric data and other publicly available existing data? What are ways social network tools characterize the interdisciplinarity or cross-disciplinarity of co-author teams? The names of 411 grantees were searched in the Web of Science indexing database; author information from the WoS search results resulted in a 191-member co-author network. Research domains were included as attribute data for the co-author network. UCINet social network analysis software calculated a large 60 node component and two larger components with 12 and 8 nodes respectively, the remainder of the network consisted of smaller 2-5 node components. Within the 191-node co-author network the following analyses were performed to learn more about the structural social capital of this group: Degree and Eigenvector centrality measures, brokerage measures, and constraint measures. Additionally, ten randomly selected dyads and the five 4-node cliques within the 191-node network were examined to find patterns of cross-disciplinary collaboration among researcher and within award teams. Award numbers were added as attribute data to five 4-node cliques and 10 random dyads; these showed instances of collaboration among interdisciplinary award teams. Collaboration patterns across disciplines are discussed. Data from this research could serve as a baseline measure for growth in future analyses of the case studied. This method is recommended as a tool to gain insights to a research community and to track publication collaboration growth over time. This research method shows potential as a way to identify aspects of a research community’s social structural capital, particularly within an interdisciplinary network to highlight where researchers are working well together or to learn where there is little collaboration

SoK: Safer Digital-Safety Research Involving At-Risk Users

Research involving at-risk users -- that is, users who are more likely to experience a digital attack or to be disproportionately affected when harm from such an attack occurs -- can pose significant safety challenges to both users and researchers. Nevertheless, pursuing research in computer security and privacy is crucial to understanding how to meet the digital-safety needs of at-risk users and to design safer technology for all. To standardize and bolster safer research involving such users, we offer an analysis of 196 academic works to elicit 14 research risks and 36 safety practices used by a growing community of researchers. We pair this inconsistent set of reported safety practices with oral histories from 12 domain experts to contribute scaffolded and consolidated pragmatic guidance that researchers can use to plan, execute, and share safer digital-safety research involving at-risk users. We conclude by suggesting areas for future research regarding the reporting, study, and funding of at-risk user researchComment: 13 pages, 3 table

The DARPA Model for Transformative Technologies

"The U.S. Defense Advanced Research Projects Agency (DARPA) has played a remarkable role in the creation new transformative technologies, revolutionizing defense with drones and precision-guided munitions, and transforming civilian life with portable GPS receivers, voice-recognition software, self-driving cars, unmanned aerial vehicles, and, most famously, the ARPANET and its successor, the Internet. Other parts of the U.S. Government and some foreign governments have tried to apply the ‘DARPA model’ to help develop valuable new technologies. But how and why has DARPA succeeded? Which features of its operation and environment contribute to this success? And what lessons does its experience offer for other U.S. agencies and other governments that want to develop and demonstrate their own ‘transformative technologies’? This book is a remarkable collection of leading academic research on DARPA from a wide range of perspectives, combining to chart an important story from the Agency’s founding in the wake of Sputnik, to the current attempts to adapt it to use by other federal agencies. Informative and insightful, this guide is essential reading for political and policy leaders, as well as researchers and students interested in understanding the success of this agency and the lessons it offers to others.

This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology

The explosion in the use of software in important sociotechnical systems has renewed focus on the study of the way technical constructs reflect policies, norms, and human values. This effort requires the engagement of scholars and practitioners from many disciplines. And yet, these disciplines often conceptualize the operative values very differently while referring to them using the same vocabulary. The resulting conflation of ideas confuses discussions about values in technology at disciplinary boundaries. In the service of improving this situation, this paper examines the value of shared vocabularies, analytics, and other tools that facilitate conversations about values in light of these disciplinary specific conceptualizations, the role such tools play in furthering research and practice, outlines different conceptions of ``fairness''deployed in discussions about computer systems, and provides an analytic tool for interdisciplinary discussions and collaborations around the concept of fairness. We use a case study of risk assessments in criminal justice applications to both motivate our effort--describing how conflation of different concepts under the banner of ``fairness'' led to unproductive confusion--and illustrate the value of the fairness analytic by demonstrating how the rigorous analysis it enables can assist in identifying key areas of theoretical, political, and practical misunderstanding or disagreement, and where desired support alignment or collaboration in the absence of consensus

Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections

Scholars who want to research a scientific topic must take time to read, extract meaning, and identify connections across many papers. As scientific literature grows, this becomes increasingly challenging. Meanwhile, authors summarize prior research in papers' related work sections, though this is scoped to support a single paper. A formative study found that while reading multiple related work paragraphs helps overview a topic, it is hard to navigate overlapping and diverging references and research foci. In this work, we design a system, Relatedly, that scaffolds exploring and reading multiple related work paragraphs on a topic, with features including dynamic re-ranking and highlighting to spotlight unexplored dissimilar information, auto-generated descriptive paragraph headings, and low-lighting of redundant information. From a within-subjects user study (n=15), we found that scholars generate more coherent, insightful, and comprehensive topic outlines using Relatedly compared to a baseline paper list

Digital technologies in architecture and engineering: Exploring an engaged interaction within curricula

This chapter focuses on the development and adoption of new Multimedia, Computer Aided Design, and other ICT technologies for both Architecture and Computer Sciences curricula and highlights the multidisciplinary work that can be accomplished when these two areas work together. We describe in detail the addressed educational skills and the developed research and we highlight the contributions towards the improvements of teaching and learning in those areas. We discuss in detail the role of Digital technologies, such as Virtual Reality, Augmented Reality, Multimedia, 3D Modelling software systems, Design Processes and its evaluation tools, such as Shape Grammar and Space Syntax, within the Architecture curricula.info:eu-repo/semantics/acceptedVersio

Supporting ‘Word-of-Mouth’ Social Networks through Collaborative Information Filtering

Altered Vista is an instructional system that supports a form of ‘contextual’ collaborative learning. Its design incorporates an information filtering technique, called collaborative information filtering, which, through computational and statistical means, leverages the work of individuals to benefit a group of users. Altered Vista is designed to provide, upon request, personalized recommendations of Web sites. It can also provide recommendations of like-minded people, thus setting the stage for future collaboration and communication. An empirical study involving in-service and pre-service teachers was conducted using Altered Vista and presents results from an empirical study. The study examined the feasibility and utility of automating the well-known social feature of propagating word-of-mouth opinions within educational settings. It also examined the impact of Altered Vista’s ability to recommend a social network of potentially unknown people