Voting line at International Women's Year conference in Albany

General note: Title and date provided by Bettye Lane.

Voting at NOW conference, Philadelphia

General note: Title and date provided by Bettye Lane.

Exhausted after hours of voting at the NOW conference, Philadelphia

General note: Title and date provided by Bettye Lane.

Voting at NOW conference, Philadelphia

General note: Title and date provided by Bettye Lane.

Voting at NOW conference, Atlantic City

General note: Title and date provided by Bettye Lane.

Voting at NOW conference, Houston

General note: Title and date provided by Bettye Lane.

Economic Policy Voting and Incumbency: Unemployment in Western Europe

The economic voting literature has been dominated by the incumbency-oriented hypothesis, where voters reward or punish government at the ballot box according to economic performance. The alternative, policy-oriented hypothesis, where voters favor parties closest to their issue position, has been neglected in this literature. We explore policy voting with respect to an archetypal economic policy issue – unemployment. Voters who favor lower unemployment should tend to vote for left parties, since they “own” the issue. Examining a large time-series cross-sectional (TSCS) pool of Western European nations, we find some evidence for economic policy voting. However, it exists in a form conditioned by incumbency. According to varied tests, left incumbents actually experience a net electoral cost, if the unemployment rate climbs under their regime. Incumbency, then, serves to break any natural economic policy advantage that might accrue to the left due to the unemployment issue.

It’s about bits of machines & stuff:why girls don’t ‘do’ engineering

This paper draws upon part of the findings of an ethnographic study in which two seventeen year old girls were employed to interview their peer about engineering as a study and career choice. It argues that whilst girls do view engineering as being generally masculine in nature, other factors such as a lack of female role models and an emphasis on physics and maths act as barriers to young women entering the discipline. The paper concludes by noting that engineering has much to offer young women, the problem is, they simply don’t know this is the case!

Building Support Vector Machines in the Context of Regularised Least Squares

This paper formulates a linear kernel support vector machine (SVM) as a regularized least-squares (RLS) problem. By defining a set of indicator variables of the errors, the solution to the RLS problem is represented as an equation that relates the error vector to the indicator variables. Through partitioning the training set, the SVM weights and bias are expressed analytically using the support vectors. It is also shown how this approach naturally extends to Sums with nonlinear kernels whilst avoiding the need to make use of Lagrange multipliers and duality theory. A fast iterative solution algorithm based on Cholesky decomposition with permutation of the support vectors is suggested as a solution method. The properties of our SVM formulation are analyzed and compared with standard SVMs using a simple example that can be illustrated graphically. The correctness and behavior of our solution (merely derived in the primal context of RLS) is demonstrated using a set of public benchmarking problems for both linear and nonlinear SVMs.

On the Virtualization of CUDA Based GPU Remoting on ARM and X86 Machines in the GVirtuS Framework

The astonishing development of diverse and different hardware platforms is twofold: on one side, the challenge for the exascale performance for big data processing and management; on the other side, the mobile and embedded devices for data collection and human machine interaction. This drove to a highly hierarchical evolution of programming models. GVirtuS is the general virtualization system developed in 2009 and firstly introduced in 2010 enabling a completely transparent layer among GPUs and VMs. This paper shows the latest achievements and developments of GVirtuS, now supporting CUDA 6.5, memory management and scheduling. Thanks to the new and improved remoting capabilities, GVirtus now enables GPU sharing among physical and virtual machines based on x86 and ARM CPUs on local workstations,computing clusters and distributed cloud appliances.

Voting behaviour on free votes: Simply a matter of preferences?

Previous research examining the outcomes of free votes concludes that voting behaviour is determined in large part by MPs’ personal preferences. However, most studies do not measure preferences directly and ignore other possible determinants of voting behaviour. This piece illustrates the need to address these shortcomings before one concludes that preferences explain the outcomes of free votes. I illustrate this by examining a series of divisions on the issue of House of Lords reform. Using direct measures of preferences and controlling for alternative explanations, the analysis suggests MPs’ preferences had little effect on voting behaviour on this issue.

Social machines dictating social behaviors – When context is missing what is the fallout of uberveillance?

Abstract: In the mid-1990s when I worked for a telecommunications giant I struggled to gain access to basic geodemographic data. It cost hundreds of thousands of dollars at the time to simply purchase a tile of satellite imagery from Marconi, and it was often cheaper to create my own maps using a digitizer and A0 paper maps. Everything from granular administrative boundaries to right-of-ways to points of interest and geocoding capabilities were either unavailable for the places I was working in throughout Asia or very limited. The control of this data was either in a government’s census and statistical bureau or was created by a handful of forward thinking corporations. Twenty years on we find ourselves inundated with data (location and other) that we are challenged to amalgamate, and much of it still “dirty” in nature. Open data initiatives such as ODI give us great hope for how we might be able to share information together and capitalize not only in the crowdsourcing behavior but in the implications for positive usage for the environment and for the advancement of humanity. We are already gathering and amassing a great deal of data and insight through excellent citizen science participatory projects across the globe. In early 2015, I delivered a keynote at the Data Made Me Do It conference at UC Berkeley, and in the preceding year an invited talk at the inaugural QSymposium. In gathering research for these presentations, I began to ponder on the effect that social machines (in effect, autonomous data collection subjects and objects) might have on social behaviors. I focused on studying the problem of data from various veillance perspectives, with an emphasis on the shortcomings of uberveillance which included the potential for misinformation, misinterpretation, and information manipulation when context was entirely missing. As we build advanced systems that rely almost entirely on social machines, we need to ponder on the risks associated with following a purely technocratic approach where machines devoid of intelligence may one day dictate what humans do at the fundamental praxis level. What might be the fallout of uberveillance? Bio: Dr Katina Michael is a professor in the School of Computing and Information Technology at the University of Wollongong. She presently holds the position of Associate Dean – International in the Faculty of Engineering and Information Sciences. Katina is the IEEE Technology and Society Magazine editor-in-chief, and IEEE Consumer Electronics Magazine senior editor. Since 2008 she has been a board member of the Australian Privacy Foundation, and until recently was the Vice-Chair. Michael researches on the socio-ethical implications of emerging technologies with an emphasis on an all-hazards approach to national security. She has written and edited six books, guest edited numerous special issue journals on themes related to radio-frequency identification (RFID) tags, supply chain management, location-based services, innovation and surveillance/ uberveillance for Proceedings of the IEEE, Computer and IEEE Potentials. Prior to academia, Katina worked for Nortel Networks as a senior network engineer in Asia, and also in information systems for OTIS and Andersen Consulting. She holds cross-disciplinary qualifications in technology and law.

Site Machines

Thesis (Ph.D.)--University of Washington, 2016-07

The Silent Majority: an Exploration of the Integration of Voting Software within Theatre in Education programmes

I wanted to explore whether traditional Forum Theatre approaches can be enhanced by the use of integrated voting software to empower young people. My research is based on two of a series of widening participation interactive TiE programmes focused on the decisions young people make on educational progression. I worked as a director alongside students studying Drama and Performance at The University of Worcester and the programmes have toured widely to schools across Worcestershire and Herefordshire. ‘It’s Up to You!’ (2013 – 2014) was aimed at years 8 and 9 choosing their GCSE options and ‘Move on Up!’ (2014 - 2015) looked at the hopes and fears of year 6 pupils about to go up to secondary school. Finding a voice in Boal’s framework as a ‘specactor’ does not always appeal to a pupil who does not want to stand out from the crowd or is not familiar with a classroom where drama conventions are practised or understood. The anonymity of the voting software with results of decisions made appearing instantly on screen is certainly appealing to some pupils: ‘I also loved the keypads they gave us so that we could answer the questions without having to put our hand up and wait..’ This paper aims to interrogate the idea that empowering needs to not simply be about giving voice to a few confident group members but allowing the silent majority to be able to experiment with decision making in an educational and social context.

Voting informational Sheet, August 11, 2014

Voting information sheet.