Looking Towards a Future where Software is Controlled by the Public (and not the other way round)

Nowadays, software has a ubiquitous presence in everyday life and this phenomenon gives rise to a range of challenges that affect both individuals and society as a whole. In this article we argue that in the future, the domain of software should no longer belong to technical experts and system integrators alone. Instead it should transition to a firmly engaged public domain, similar to city planning, social welfare and security. The challenge that lies at the heart of this problem is the ability to understand, on a technical level, what all the different software actually is and what it does with our information

Looking Towards A Future Where Software Is Controlled By The Public and Not The Other Way Round

International audienceNowadays, software has a ubiquitous presence in everyday life and this phenomenon gives rise to a range of challenges that affect both individuals and society as a whole. In this article we argue that in the future, the domain of software should no longer belong to technical experts and system integrators alone. Instead it should transition to a firmly engaged public domain, similar to city planning, social welfare and security. The challenge that lies at the heart of this problem is the ability to understand, on a technical level, what all the different software actually is and what it does with our information

The future of social is personal: the potential of the personal data store

This chapter argues that technical architectures that facilitate the longitudinal, decentralised and individual-centric personal collection and curation of data will be an important, but partial, response to the pressing problem of the autonomy of the data subject, and the asymmetry of power between the subject and large scale service providers/data consumers. Towards framing the scope and role of such Personal Data Stores (PDSes), the legalistic notion of personal data is examined, and it is argued that a more inclusive, intuitive notion expresses more accurately what individuals require in order to preserve their autonomy in a data-driven world of large aggregators. Six challenges towards realising the PDS vision are set out: the requirement to store data for long periods; the difficulties of managing data for individuals; the need to reconsider the regulatory basis for third-party access to data; the need to comply with international data handling standards; the need to integrate privacy-enhancing technologies; and the need to future-proof data gathering against the evolution of social norms. The open experimental PDS platform INDX is introduced and described, as a means of beginning to address at least some of these six challenges

Future of networking is the future of Big Data, The

2019 Summer.Includes bibliographical references.Scientific domains such as Climate Science, High Energy Particle Physics (HEP), Genomics, Biology, and many others are increasingly moving towards data-oriented workflows where each of these communities generates, stores and uses massive datasets that reach into terabytes and petabytes, and projected soon to reach exabytes. These communities are also increasingly moving towards a global collaborative model where scientists routinely exchange a significant amount of data. The sheer volume of data and associated complexities associated with maintaining, transferring, and using them, continue to push the limits of the current technologies in multiple dimensions - storage, analysis, networking, and security. This thesis tackles the networking aspect of big-data science. Networking is the glue that binds all the components of modern scientific workflows, and these communities are becoming increasingly dependent on high-speed, highly reliable networks. The network, as the common layer across big-science communities, provides an ideal place for implementing common services. Big-science applications also need to work closely with the network to ensure optimal usage of resources, intelligent routing of requests, and data. Finally, as more communities move towards data-intensive, connected workflows - adopting a service model where the network provides some of the common services reduces not only application complexity but also the necessity of duplicate implementations. Named Data Networking (NDN) is a new network architecture whose service model aligns better with the needs of these data-oriented applications. NDN's name based paradigm makes it easier to provide intelligent features at the network layer rather than at the application layer. This thesis shows that NDN can push several standard features to the network. This work is the first attempt to apply NDN in the context of large scientific data; in the process, this thesis touches upon scientific data naming, name discovery, real-world deployment of NDN for scientific data, feasibility studies, and the designs of in-network protocols for big-data science

DL­R­magazine 167 – The sky is the lim­it

A blank page can be frightening, especially when there is a pressing need to fill it. But a blank page can also be inspiring as it offers space for new thoughts and ideas. Pursuing an existing vision can be similarly motivating. While flight operations are still restricted due to the pandemic, DLR researchers are thinking about how we can travel more safely and comfortably from A to B in the future. In the May issue of the DLRmagazine, find out how they are filling blank pages with their ideas as they develop new concepts for the aircraft cabin and attempt to use the aircraft interior in new, diverse and flexible ways. The topic of digitalisation also plays an important role in this issue. DLR researchers have long been working on the question of where we still need experiments and what we can do faster and more economically using computers. DLR researcher Stefan Görtz describes the advantages and challenges of virtual flight tests and to what extent they already almost match the effectiveness of their real-life counterparts. Meanwhile, DLR transport researchers are working on an interface between virtual reality and the real world to give users an idea of what a future automated and connected transport system could look like. Magnus Lamp, Transport Programme Director at DLR, gives an overview of the current state of automated vehicles and where the field is heading. Further topics in this issue include the 60th anniversary of the DLR site in Stuttgart, a solar-powered stratospheric aircraft that flies far above commercial air traffic and weather patterns, and the new residential quarter in Oldenburg that will allow for neighbourhood energy trading

Question: where would you go to escape detection if you wanted to do something illegal on the Internet? Hint: shush!

The background to this paper is the introduction of public access IT facilities in public libraries. These facilities have seen recorded instances of misuse alongside weaknesses in checking identities of users and in explaining Acceptable Use Policies (AUPs) to users. The FRILLS (Forensic Readiness of Local Libraries in Scotland) project, funded by the Scottish Library and Information Council, attempted to survey the situation in Scottish public libraries and develop a forensic readiness logging regime for use in them. There is in depth discussion of the use of logging in public library computer facilitie

Professional librarianship: always preparing for the future

The Context Statement is Part One of my submission for my thesis submitted in partial fulfilment of the requirements for the Degree of Doctorate in Professional Studies by Public Works. It is presented to be read in conjunction with Part Two of this submission, which contains publications which represent the public works. The Context Statement is written in line with the requirements of Middlesex University regulations for doctoral awards and the chapters are structured in relation to these requirements. The submitted works were not initially written for submission as part of a D. Prof. The Context Statement has stimulated me to bring together a description of the reflective practice which has been inherent in the development of my public works, both those selected for special treatment in Chapter 2 and those described throughout the context statement. In chapter 1 I place my work in context, beginning with my interest in libraries which then became specialised in the library automation field. In section 2, as mentioned I introduce four public works which are in the case of the first three represented by publications. Chapter 3 is a justification for the Doctorate in Professional Studies by Public Works, outlining the place of reflection and reflective practices throughout the development of these public works. In Chapter 4 I return to the themes of International Librarianship, General Librarianship, Library Automation and Standardization which permeate my public works, before drawing my conclusions on the importance not only of reflection but of innovation in my public works

Conversations on a probable future: interview with Beatrice Fazi

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When Herding and Contrarianism Foster Market Efficiency: A Financial Trading Experiment

While herding has long been suspected to play a role in financial market booms and busts, theoretical analyses have struggled to identify conclusive causes for the effect. Recent theoretical work shows that informational herding is possible in a market with efficient asset prices if information is bi-polar, and contrarianism is possible with single-polar information. We present an experimental test for the validity of this theory, contrasting with all existing experiments where rational herding was theoretically impossible and subsequently not observed. Overall we observe that subjects generally behave according to theoretical predictions, yet the fit is lower for types who have the theoretical potential to herd. While herding is often not observed when predicted by theory, herding (sometimes irrational) does occur. Irrational contrarianism in particular leads observed prices to substantially differ from the efficient benchmark. Alternative models of behavior, such as risk aversion, loss aversion or error correction, either perform quite poorly or add little to our understanding.Herding,Informational Efficiency, Experiments.

Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions

There is abundant observational data in the software engineering domain, whereas running large-scale controlled experiments is often practically impossible. Thus, most empirical studies can only report statistical correlations -- instead of potentially more insightful and robust causal relations. To support analyzing purely observational data for causal relations, and to assess any differences between purely predictive and causal models of the same data, this paper discusses some novel techniques based on structural causal models (such as directed acyclic graphs of causal Bayesian networks). Using these techniques, one can rigorously express, and partially validate, causal hypotheses; and then use the causal information to guide the construction of a statistical model that captures genuine causal relations -- such that correlation does imply causation. We apply these ideas to analyzing public data about programmer performance in Code Jam, a large world-wide coding contest organized by Google every year. Specifically, we look at the impact of different programming languages on a participant's performance in the contest. While the overall effect associated with programming languages is weak compared to other variables -- regardless of whether we consider correlational or causal links -- we found considerable differences between a purely associational and a causal analysis of the very same data. The takeaway message is that even an imperfect causal analysis of observational data can help answer the salient research questions more precisely and more robustly than with just purely predictive techniques -- where genuine causal effects may be confounded