Prof. Ursula Martin will be talking about the letters of Lady Ada Lovelace at 5.30pm on Thursday 17th December in Abertay University (Kydd Building, Bell St, Dundee, behind Dundee High School).
This is a BCS sponsored event and all are welcome. Teas/Coffees from 4.30pm. PhD research posters will also be on display.
Abstract:
Most of us might agree that ‘hands-on learning’ is good for children in the early years. But why? Is it simply more fun and sociable, or are there any more direct cognitive benefits? And what determines definitions of ‘hands-on’? Can we include iPads? This talk will draw upon an ESRC-funded project to examine the educational implications of recent theoretical arguments about the embodied nature of cognition. Video data from the project will be used to illustrate the methodological significance of the way children gesture when describing mathematical concepts and evaluate a hypothesis that numerical development is grounded upon two particular embodied metaphors. If correct, this presents a serious challenge to traditional approaches to the types of learning materials we offer children. The talk then demonstrates two embodied technologies to consider the potential of new forms of digital interaction to further our understanding of embodied cognition as well as support early learning.
Bio:
Dr Andrew Manches is a Chancellor’s Fellow in the School of Education and leads the Children and Technology group at the University of Edinburgh. He has 20 years experience working with children, first as a teacher, then as an academic. His recent research, funded by an ESRC Future Research Leader grant, focuses on the role of interaction in thinking, and the implications this has for early learning and new forms of technology. When not being an academic, Andrew is a parent of two young children and directs an early learning technology start-up that was awarded a SMART grant this year to build an early years maths tangible technology.
In October 2015 we attended two IEEE conferences in the USA. Daniel Rough presented a full paper at the IEEE Symposium on Visual Languages and Human-Centric Computing, October 18–22, in Atlanta, Georgia. Uta Hinrichs presented a full paper at the IEEE Information Visualization (InfoVis) conference as part of VizWeek, October 25-30 in Chicago, Illinois. You can find details of these and all our papers on the publications page.
On November 10th, Daniel and Uta will reprise their talks here in St Andrews and everyone is welcome to attend. You can find the details for the two talks below along with links to the papers via the University of St Andrews research portal.
Talk 1 by Daniel Rough
Title: Jeeves – A Visual Programming Environment for Mobile Experience Sampling
Authors: Rough, D and Quigley, A.
Abstract: The Experience Sampling Method (ESM) captures participants’ thoughts and feelings in their everyday environments. Mobile and wearable technologies afford us opportunities to reach people using ESM in varying contexts. However, a lack of programming knowledge often hinders researchers in creating ESM applications. In practice, they rely on specialised tools for app creation. Our initial review of these tools indicates that most are expensive commercial services, and none utilise the full potential of sensors for creating context-aware applications.
We present “Jeeves”, a visual language to facilitate ESM application creation. Inspired by successful visual languages in literature, our block-based notation enables researchers to visually construct ESM study specifications. We demonstrate its applicability by replicating existing ESM studies found in medical and psychology literature. Our preliminary study with 20 participants demonstrates that both non-programmers and programmers are able to successfully utilise Jeeves. We discuss future work in extending Jeeves with alternative mobile technologies.
Paper details from the St Andrews Research Portal: Rough, DJ & Quigley, AJ 2015, ‘ Jeeves – a visual programming environment for mobile experience sampling ‘, IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Atlanta, United States
Talk 2 by Uta Hinrichs
Title: Speculative Practices: Utilizing InfoVis to Explore Untapped Literary Collections
Published in:
IEEE Transactions on Visualization and Computer Graphics, (Vol:22, Issue: 1 ) Page(s): 429 – 438
ISSN : 1077-2626
DOI: 10.1109/TVCG.2015.2467452
Paper details from the St Andrews Research Portal:
Hinrichs, U, Forlini, S & Moynihan, B 2015, ‘ Speculative practices: utilizing InfoVis to explore untapped literary collections ‘ IEEE Transactions on Visualization and Computer Graphics .
The School of Computer Science is delighted to announce that honorable lecturer Dr Roy Dyckhoff is an invited speaker at the conference on Automated Reasoning with Analytic Tableaux and Related Methods, in Wrocław (Poland) from 20–24 September.
Abstract: This talk explores the relationship between coherent (aka “geometric”) logic and first-order logic (FOL), with special reference to the coherence/geometricity required of accessibility conditions in Negri’s work on modal logic (and our joint work with her on intermediate logic). It has been known to some since the 1970s that every first-order theory has a coherent conservative extension, and weaker versions of this result have been used in association with the automation of coherent logic; but, it is hard to find the result in the literature. We discuss various proofs of the result, and present a coherentisation algorithm with the desirable property of being idempotent.
Please see: http://tableaux2015.ii.uni.wroc.pl/index.html for further details
Abstract:
Garbage collection is no longer an esoteric research interest. Mainstream programming languages like Java and C# rely on high-performance memory managed run time systems. In this talk, I will motivate the need for rigorous models of memory management to enable more powerful analysis and optimization techniques. I will draw on a diverse range of topics including thermodynamics, economics, machine learning and control theory.
Bio:
Jeremy Singer is a lecturer at the School of Computing Science, University of Glasgow, Scotland. He has research interests in programming languages,compilation, run time code optimization and memory management. Singer received his PhD from Cambridge in 2006. Website:http://www.dcs.gla.ac.uk/~jsinger
The School of Computer Science is pleased to welcome back one of its former PhD students, James Smith, who is currently Google Product Manager, London to talk about Google @ St Andrews. 
Abstract: Google’s mission is to organize the world’s information and make it universally accessible and useful. It’s an enormous goal to accomplish and we need great people to help us achieve it. We invite you to come learn about Google and some of the engineering challenges we’re tackling.
Sign up: goo.gl/GXXiWp
Matching in Practice: Junior Doctor Allocation and Kidney Exchange by Dr. David Manlove
Abstract:
Matching problems typically involve assigning agents to commodities, possibly on the basis of ordinal preferences or other metrics. These problems have large-scale applications to centralised matching schemes in many countries and contexts. In this talk I will describe the matching problems featuring in two such schemes in the UK that have involved collaborations between the National Health Service and the University of Glasgow. One of these dealt with the allocation of junior doctors to Scottish hospitals (1999-2012), and the other is concerned with finding kidney exchanges among incompatible donor-patient pairs across the UK (2007-date). In each case I will describe the applications, present the underlying algorithmic problems, outline the computational methods for their solution and give an overview of results arising from real data connected with the matching schemes in recent years.
BIO:
David Manlove is a Senior Lecturer at the School of Computing Science, University of Glasgow, where he has been since 1995. His research interests lie mainly in the field of algorithms and complexity, and include algorithms for matching problems involving preferences. These arise in applications such as the assignment of school leavers to universities, kidney patients to donors and junior doctors to hospitals. He and his colleagues have been involved in collaborations with the NHS in relation to the Scottish Foundation Allocation Scheme (for matching junior doctors to hospitals) and the National Living Donor Kidney Sharing Schemes (for enabling kidney “swaps” between incompatible donor-patient pairs) where optimal matching algorithms developed by him and colleagues have been deployed. He has over 50 publications in this area including his book “Algorithmics of Matching Under Preferences”, published in 2013.
Statistically Consistent Estimation and Efficient Inference for
Natural Language ParsingBy Shay Cohen, University of Edinburgh.
Abstract:
In the past few years, there has been an increased interest in the machinel earning community in spectral algorithms for estimating models with latent variables. Examples include algorithms for estimating mixture of Gaussians or for estimating the parameters of a hidden Markov model.
The EM algorithm has been the mainstay for estimation with latent variables, but because it is guaranteed to converge to a local maximum of the likelihood, it is not a consistent estimator. Spectral algorithms, on the other hand, are often shown to be consistent. They are often more computationally efficient than EM.
In this talk, I am interested in presenting two types for spectral algorithms for latent-variable PCFGs, a model widely used in the NLP community for parsing. One algorithm is for consistent estimation of L-PCFGs, and the other is for efficient inference with L-PCFGs (or PCFGs). Both algorithms are based on linear-algebraic formulation of L-PCFGs and PCFGs.
BIO:
Shay Cohen is a Chancellor’s fellow (assistant professor) at the University of Edinburgh (School of Informatics). Before that, he was a postdoctoral research scientist in the Department of Computer Science at Columbia University, and held an NSF/CRA Computing Innovation Fellowship. He received his B.Sc. and M.Sc. from Tel Aviv University in 2000 and 2004, and his Ph.D. from Carnegie Mellon University in 2011. His research interests span a range of topics in natural language processing and machine learning, with a focus on structured prediction. He is especially interested in developing efficient and scalable parsing algorithms as well as learning algorithms for probabilistic grammars.
Title: Cloud Platform in Financial Services
Presenter: Allan Beck, Cloud Platform and Strategy Lead from JPMorgan Chase
Abstract: Cloud Computing is revolutionising the delivery of compute services and driving the next generation of web-scale application design. This presents enormous opportunities but also challenges, particularly in heavily regulated sectors such as Financial Services.
Allan Beck, Cloud Platform and Strategy Lead from JPMorgan Chase, will discuss the current approach and challenges to Cloud in Financial Services. This will include an overview of available Cloud services and capabilities, the specific challenges to Cloud in Financial Services (private and public Cloud) and an overview of the next-generation Cloud platform and developer experience at JPMorgan Chase.
