The Consumer Data Research Centre at Leeds is pleased to offer two R courses in September, comprising of an introductory and a more advanced course. The courses will take place in their newly opened training suite at the Leeds Institute for Data Analytics.
Introductory R for Spatial Analysis:
Time: 9:30 – 17:00
As spatial datasets get larger more sophisticated software needs to be harnessed for their analysis. R is now a widely used open source software platform for statistical analysis and is increasingly popular for those working with spatial data thanks to its powerful analysis and visualisation packages. This course introduces the basics of how R can be used for spatial data. No previous experience of computer programming is required.
R for Big Data (2 Days):
Date: 17/09/15 + 18/09/15
The last decade has seen an increase in the amount and variety of data across many disparate disciplines. Analysing this data is non-trivial, and traditional point-and-click tools often lack flexibility when dealing with “Big Data”. This two day course looks at leveraging R’s power for dealing with large data sets. The course covers the advantages and limitations of using R, and provides practical advice for getting the most out of your data.
The FET Open call will open in the next few months, offering a total of 37.5 million EUR for early-stage joint science and technology research towards radically new future technologies. Being entirely non-prescriptive with regards to the nature or purpose of the technologies that are envisaged, this call targets the unexpected. It is open to collaborative research that satisfies the FET-Open ‘gatekeepers’: long-term vision, ambition of the scientific and technological breakthrough, foundational character, novelty, high-risk and deep synergistic interdisciplinary approach. FET-Open aspires to be an early detector of new and promising ideas, but also of the new high-potential actors in research and innovation (such as young researchers and high-tech SMEs) that may become the scientific and industrial leaders of the future.
In preparation for this call release, an Information Day is being organised, offering the opportunity for attendees to learn about the H2020 proposal guidelines and submission procedures and about the FET-specific procedure and criteria for evaluation. There will be ample time for questions and for networking among the participants.
The registration will open during the week of 25 May. The event is free of charge but prior registration is compulsory. Attendants will have the possibility to upload up to 3 slides if they wish to present their research topic to network with other participants.
Date: 6th July 2015
Location: Brussels, Belgium
The attendance is limited to 200 participants. Live webstreaming will be available and provided on this page the day of the event. Registration will open on the 25th May 2015.
To find out more about the information day – Click Here
To view the agenda – Click Here (PDF)
To find out more about FET Open – Click Here
The Call for the 2015 round of Chist-ERA applications will arrive in October 2015, and the two topics will be:
- Security and Privacy in Internet of Things
- Terahertz Band for New-Generation Mobile Communication Systems
The full topic descriptions, to appear in the call text, will result from the CHIST-ERA Conference 2015. This conference, held in Lisbon, June 16-18 2015, brings together scientists working in these research areas and CHIST-ERA representatives to refine the topics contour and scope of the Call 2015. All attendees are invited to participate in plenary and facilitated break-out sessions to identify and formulate the promising scientific and technological challenges at the frontier of research. This represents a unique opportunity for the scientific community to directly participate in scoping the call.
To find out more – Click Here (PDF)
To register for the conference – Click Here
The University’s Department of Education are convening a high-profile seminar series on Impact and Knowledge Exchange in an Evolving Research Environment. The series will bring together different voices from the higher education landscape including researchers, funding bodies, ‘users’ and research facilitators to debate how impact and knowledge exchange are interpreted and practiced across research systems and networks. Weekly seminars will be given by external speakers on Wednesdays (6 May- 17 June), concluding with a panel discussion on the 17th of June. Opportunities for networking and discussion will be offered at each event.
At the first event in the series will be held on the 6th May 2015 at the Said Business School, from 5pm – 6:30pm, where Professor James Wilsdon will present the findings of his review of the role of metrics in research assessment and management and post-election prospects for social science funding & influence within government, building on the Campaign for Social Science’s recent report ‘The Business of People’.
To sign up for the first event – Click Here
To view the entire series – Click Here
The Department of Informatics, King’s College London, is delighted to invite you to the Distinguished Lecture of Professor Jane Hillston (University of Edinburgh).
Choosing not to be discrete — the benefits of fluid approximations in dynamic modelling
Monday 27 April 2015, 18:30-19:30
JKTL Nash Lecture Theatre (K2.31), 2nd Floor of the King’s Building, Strand Campus.
A drinks reception will follow this lecture.
Abstract: Discrete representations of systems are usual in theoretical computer science and they have many benefits. Many discrete state models have been shown to be useful for capturing and analysing dynamic system behaviour. Examples include finite state machines and continuous time Markov chains. Unfortunately these models suffer from the problem of state space explosion, sometimes termed the “curse of dimensionality”. In recent years, research has shown that there are cases in which we can reap the benefits of discrete representation during system description but then gain from more efficient analysis by approximating the discrete system by a continuous one. In this talk I will give the intuition behind this shift of perspective and explain how it allows us to study and predict the behaviour of the systems which would otherwise have been beyond analysis.
Biography: Jane Hillston is Professor of Quantitative Modelling in the School of Informatics at the University of Edinburgh. Her principal research interests are in the design of formal modelling languages, particularly stochastic process algebras, to model and analyse dynamic systems and the development of efficient solution techniques for such models. These models capture both engineered computer systems and naturally occurring systems such as biochemical pathways and the spread of disease within a population. Prof Hillston received the BA and MS degrees in Mathematics from the University of York (UK) and Lehigh University (USA), respectively. She received the PhD degree in Computer Science from the University of Edinburgh in 1994. Her work on the stochastic process algebra PEPA was recognised by the British Computer Society in 2004 who awarded her the first Roger Needham Award. She was elected to fellowship of the Royal Society of Edinburgh in 2007. She is also a fellow of the British Computer Society and a member of the executive committee of Informatics Europe.
If you would like to attend, please register here.
The Faculty of Natural & Mathematical Sciences at King’s College London has a Code of Conduct, which we expect participants at our events to abide by. This is intended to ensure an inclusive and productive environment and can be read here.