December 15, 2015

What will Marty McFly need in 25 years?

BU Challenges, BU research, Funding opportunities, Research themes, Research Training, Training Emily Cieciura

Or, to put it another way, how do we realise the transformational impact of digital technologies on aspects of community life, cultural experiences, future society and the economy’?

On 26th and 27th January 2016, RKEO will be hosting a sandpit workshop to facilitate exploration of this topic to:

Raise awareness – interdisciplinary approaches are an integral element of research success
Provide a space to explore ideas
Provide a mechanism for continual peer review
Support proposal development
Stimulate research proposals in promising areas of research for the University

The Research Sandpit process comprises:

Defining the scope of the issue
Sharing understanding of the problem domain, and the expertise brought by the participants to the sandpit
Taking part in break-out sessions focused on the problem domain, using creative and innovative thinking techniques
Capturing the outputs in the form of a research project

To take part in this exciting opportunity, BU academic staff should complete the Sandpit Application Form and return this to Dianne Goodman by Tuesday 5th January. Places are strictly limited.

By applying, you agree to attend for the full duration of the event – full day 26th January and half day 27th January.

This event is part of BU’s Interdisciplinary Research Week.

December 8, 2015

Researcher Development

Research Training, student research, Training sastringer

Vitae is an organisation set up to promote career development in both postgraduate researchers and academic staff. Their Researcher Development Framework is intended to help people monitor their skills and plan their personal development. At BU we will be using this framework to format the training on offer for the postgraduate research students and academic staff.

The Vitae website is an excellent resource and the organisation regularly runs free training events for researchers, PGRs and those involved in research development. Upcoming events include Vitae Connections: Supporting Open Researchers.

The Researcher Development Framework (RDF) is the professional development framework to realise the potential of researchers. The RDF is a tool for planning, promoting and supporting the personal, professional and career development of researchers in higher education. It was designed following interviews with many successful researchers across the sector and articulates the knowledge, behaviours and attributes of a successful researcher.

There is a planner available on the Vitae website to help you assess which stage you are at with your skills and a tutorial providing guidance on how to use the framework.

Top 10 tips from researchers on using the Researcher Development Framework (RDF):

1. You might choose to use the RDF for short term as well as long term development. The RDF can be used in planning for your long term career ambitions but also to make a feasible short term plan. It can be useful to imagine your long term ambitions in order to focus your career path however the reality of progressing through to the higher phases may be more difficult to plan. In the short term, making decisions about how to progress to the next phase or what sub-domains are most important for you will be easier. Try to be realistic when setting these short term goals.

2. Use the RDF to highlight your strengths and areas for development and how these might be used to benefit/influence your personal, professional and career development.

3. Use the RDF to highlight your applicable and transferable skills. This is important for career progression within or outside academia.

4. Prioritise those areas which are most relevant. You don’t have to try to develop in all the areas of the RDF at once. There may be some sub-domains/descriptors where there is less relevance in progressing through the phases for you.

5. Draw on experiences outside of work to evidence your capabilities.

6. Progression to the highest phase in a descriptor will not be applicable to everyone but being aware of the possibilities can aid personal and career development.

7. Talk to others to get their views about your strengths and capabilities. Your supervisor, manager, peers, family and friends are a great source of information to find out more about yourself. Talk to them about how they perceive your capabilities. By understanding how others view you, you will be able to make more informed choices about your future.

8. To move from one phase to the next why not explore attending courses. These courses may be run at a local level (within your University) or may only be run nationally or internationally so awareness of opportunities for training is important. Vitae also run a wide range of courses which address many aspects of personal and career development.

9. Some phases may only be reached through experience and practice however good self-awareness and professional development planning will aid the process.

10. Networking is likely to enable you to reach more experienced phases.

November 30, 2015

BUDMC Professor Speaks on Entrepreneurial Resilience at Prestigious IBM Client Forum in London

BU research, Business Engagement, Knowledge Transfer, Publishing, Research news, Research themes, staff profile pages, Training lmiles

On 26^th November 2015, BUDMC’s Professor of Crisis and Disaster Management, Lee Miles, gave a keynote presentation at a prestigious client forum examining ‘Cyber Resiliency – Protecting Your Business in an “Always On” World’, organised by IBM Resiliency Services and held at the IBM Client Centre at IBM UK’s headquarters in London.

Lee spoke on the subject of ‘Understanding Entrepreneurial Resilience and its Contribution to an ‘Always On’ World’. He discussed the need for senior business managers to value the entrepreneurial and innovative talents of staff in order to maximise the effectiveness of their resilience planning and processes in cyber security. Lee introduced the twin expectations of being ‘resilient about “always on”’ and ‘always on resilience’; two paradigms that successful resilience managers need to balance strategically and innovatively if they are to meet the challenges of handling future crises and disasters that have major implications for the business world.

IBM Client Forums bring together senior resilience, emergency and business continuity managers from some of the UK’s leading, and most prestigious, FTSE-indexed commercial and business interests. The forums provide key platforms for discussing the most contemporary issues in resilience. Lee joined a high profile list of speakers that included senior representation from the UK’s Cabinet Office, the Business Continuity Institute (BCI), Barclays Bank as well as experts from IBM’s own Resiliency Services Division.

Lee also participated in a major and lively panel discussion, debating the most cutting-edge issues in cyber resilience.

Lee’s invitation and participation represent further evidence of the BUDMC’s continuing profile in all aspects of disaster management. The substantial strategic cooperation that is developing between BUDMC and the University’s Cyber Security Unit (SCU) continues to attract external recognition. Considerable interest was also generated among members of the IBM Client Forum in the forthcoming BUDMC short course in ‘Entrepreneurial Resilience in Crisis and Disaster Management’ to be offered (in association with the BU Centre for Entrepreneurship) for the first time in May 2016.

Lee Miles Giving Keynote at IBM on ‘Entrepreneurial Resilience’

IBM Client Forum Panel in Action

November 17, 2015

Development for New and Aspiring Principal Investigators

Guidance, Post-award, Research Training, Training sastringer

HEFCE funded a project to provide online resources to help principal investigators develop their skills, these excellent resources are hosted by Vitae. This collaborative project involved colleagues at a number of universities across the UK, RCUK, Leadership Foundation for Higher Education, ARMA and Universities UK.

The resources can be found here and include some fantastic sections on:

Intellectual Leadership which looks at demonstrating research impact and the research environment.
Leading a research project which looks at understanding and developing your leadership ability, applying for and managing a research project
Building and managing a research team which looks at strategies for successfully forming, motivating and developing a team.
Developing individual researchers which looks at performance management, appraisal, mentoring and coaching.
Developing yourself as PI which looks at self analysis, 360 feedback, skills and characteristics of a PI and networks
Useful Contacts for PIs everyuseful contact a PI could need!
and PIs Frequently Asked Questions

November 8, 2015

BRAD: Robust adaptive predictive modelling and data deluge workshop

Research Training, student research, Training apekalski

To book your place on this workshop- CLICK HERE

We are currently experiencing an incredible, explosive growth in digital content and information. According to IDC [11], there currently exists over 2.7 zetabytes of data. It is estimated that the digital universe in 2020 will be 50 times as big as in 2010 and that from now until 2020 it will double every two years. Research in traditionally qualitative disciplines is fundamentally changing due to the availability of such vast amounts of data. In fact, data-intensive computing has been named as the fourth paradigm of scientific discovery [10] and is expected to be key in unifying the theoretical, experimental and simulation based approaches to science. The commercial world has also been transformed by a focus on BIG DATA with companies competing on analytics [12]. Data has become a commodity and in recent years has been referred to as the ‘new oil’.

There has been a lot of work done on the subject of intelligent data analysis, data mining and predictive modelling over the last 50 years with notable improvements which have been possible with both the advancements of the computing equipment as well as with the improvement of the algorithms [1]. However, even in the case of the static, non-changing over time data there are still many hard challenges to be solved which are related to the massive amounts, high dimensionality, sparseness or inhomogeneous nature of the data to name just a few.

What is also very challenging in today’s applications is the non-stationarity of the data which often change very quickly posing a set of new problems related to the need for robust adaptation and learning over time. In scenarios like these, many of the existing, often very powerful, methods are completely inadequate as they are simply not adaptive and require a lot of maintenance attention from highly skilled experts, in turn reducing their areas of applicability.

In order to address these challenging issues and following various inspirations coming from biology coupled with current engineering practices, we propose a major departure from the standard ways of building adaptive, intelligent predictive systems and moving somewhat away from the engineering maxim of “simple is beautiful” to biological statement of “complexity is not a problem” by utilising the biological metaphors of redundant but complementary pathways, interconnected cyclic processes, models that can be created as well as destroyed in easy way, batteries of sensors in form of pools of complementary approaches, hierarchical organisation of constantly optimised and adaptable components.

In order to achieve such high level of adaptability we have proposed a novel flexible architecture [5-6] which encapsulates many of the principles and strategies observed in adaptable biological systems. The main idea of the proposed architecture revolves around a certain degree of redundancy present at each level of processing represented by the pools of methods, multiple competitive paths (individual predictors), their flexible combinations and meta learning managing general population and ensuring both efficiency and accuracy of delivered solution while maintaining diversity for improved robustness of the overall system.

The results of extensive testing for many different benchmark problems and various snapshots of interesting results covering the last decade of our research will be shown throughout the presentation and a number of challenging real world problems including pollution/toxicity prediction studies [8-9], building adaptable soft sensors in process industry in collaboration with Evonik Industries [6-7] or forecasting demand for airline tickets covering the results of one of our collaborative research projects with Lufthansa Systems [3-4] will be discussed.

Given our experiences in many different areas we see that truly multidisciplinary teams and a new set of robust, adaptive tools are needed to tackle complex problems with intelligent data analysis, predictive modelling and visualisation already indispensible. It is also clear that complex adaptive systems and complexity science supported and driven by huge amounts of multimodal, multisource data will become a major endeavour in the 21^st century.

We will hold discussions surrounding:

Rapidly expanding digital universe
New decade of advanced/predictive analytics
General Fuzzy Min-Max (GFMM) Neural Networks as an example of early realisation of flexible predictive system
To combine or not to combine? – Multiple classification and prediction systems
Water quality monitoring based on biomarker data – can it be done?
Revenue management for airlines – can we forecast anything?
Adaptive soft sensors for process industry – here’s a real problem!
Self-adapting architecture for predictive modelling
Complex adaptive systems and complex networks

Professor. Bogdan Gabrys

To book your place on this workshop- CLICK HERE

November 8, 2015

Researcher Development Framework

Guidance, Research Training, student research, Training sastringer