About Kelly Ryan

Full time Research Facilitator in the Department of Computer Science at the University of Oxford. Part time nerd.

EPSRC: Intelligent Technologies to Support Collaborative Care

EPSRC have issued an advanced warning for a call and briefing event that will go live on 2 November.

EPSRC’s Information and Communication Technologies, Healthcare Technologies and Digital Economy themes will be inviting outline proposals which address the need for new technologies which can reliably and intelligently interpret multiple inputs from multiple sources and initiate actions as appropriate to support the self-management of chronic health conditions.

There will be a briefing event for the call on 3 December in London.

Further details on the Call and briefing event will go live on the EPSRC website on 2 November

FET Workshop in London – 24 November 2015

The Knowledge Transfer Network, in collaboration with the UK National Contact Point for Future and Emerging Technologies (FET) in Horizon 2020, is organising a workshop in London on 24 November 2015. The focus of the workshop will be on the new Work Programme for 2016-2017. In particular, the workshop will feature presentations on:

  • the FET Open & FET Proactive schemes, their context and corresponding funding opportunities;
  • success stories from UK FET grant holders;
  • a view from a far-looking industry;
  • practical aspects on ‘How to do it’.

The event will take place at the BIS Conference Centre between 10am and 4pm.

Attendance is free of charge but the number of places is limited. Booking is essential and can be done via the event website. Further information is also contained in the workshop flyer.


New Horizon 2020 Work Programme Launched

​Commissioner Moedas launched the 2016/17 Horizon 2020 Work Programme today at a press conference in Brussels. The two-year programme has a budget of almost €16 billion and has been designed to respond to the wider policy objectives of the European Commission, including the Jobs, Growth and Investment Package, the Digital Single Market, the Energy Union, Climate Change policy and making Europe a stronger global actor.

The Commissioner said that while these were the overarching priorities, on a horizontal level the Work Programme also responds to the priorities defined by him on research and innovation policy, namely the three O’s (Open Science, Open Innovation and Open to the World).

The second Horizon 2020 Work Programme includes 16 work programmes, 63 calls and around 600 topics in 2016 and 2017. The Commission is planning to award approximately 1000 European Research Council grants and 10,000 fellows are to benefit from the Marie Skłodowska-Curie Actions in 2016 itself.

The Work Programme is available on the Participant Portal (under the ‘Reference Documents’ section) and the Commission has produced a useful factsheet which summarises the main features and provides an overview table on funding calls in 2016 and 2017. UKRO factsheets on the Portal have been updated and provide information on each part of Horizon 2020.


Advisory Group Report on the Future of FET Published

The Future and Emerging Technologies (FET) Advisory Group was set up at the beginning of H2020 with a mandate to give advice to the European Commission regarding the objectives and the scientific and innovation priorities of Future and Emerging Technologies. The Advisory Group has now produced a report, which concludes that the FET programme should be recommended as the nucleus for the establishment of a European Innovation Council (EIC).

Read the full article here

10th Workshop for Women in Machine Learning – CFP

Machine learning is one of the fastest growing areas of computer science research.

Search engines, text mining, social media analytics, face recognition, DNA sequence analysis, speech and handwriting recognition, healthcare analytics are just some of the applications in which machine learning is routinely used.

In spite of the wide reach of machine learning and the variety of theory and applications it covers, the percentage of female researchers is lower than in many other areas of computer science. Most women working in machine learning rarely get the chance to interact with other female researchers, making it easy to feel isolated and hard to find role models.

This technical workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, network and exchange ideas, participate in career-focused panel discussions with senior women in industry and academia and learn from each other. Underrepresented minorities and undergraduates interested in machine learning research are encouraged to attend.


The 10th WiML Workshop is Co-located with NIPS in Montreal, Canada on December 07, 2015.

The one-day workshop will consist of talks by established researchers and graduate students, a poster session for graduate students to showcase their research, and a panel discussion to discuss careers in machine learning.

There will also be a pre-workshop dinner on December 6, 2015 for participants arriving the night before the workshop.


Workshop registration is free.

We are able to provide travel scholarships to those who wish to participate in the workshop. Please see our website for more details. (http://www.wimlworkshop.org/)


We strongly encourage female students, post-docs and researchers in all areas of machine learning to submit an abstract (500 words or less) describing either new or previously published research. Authors of accepted abstracts will be asked to present their work in a poster session.

Submission page: https://easychair.org/conferences/?conf=wiml2015


  • Call for abstracts begins: July 31, 2015
  • Abstract submission deadline: Extension! September 22, 2015
  • Notification of Acceptance: October 1, 2015
  • Registration begins: October 1, 2015
  • Pre-workshop dinner December 6, 2015
  • Workshop: December 7, 2015


  • Abigail Jacobs, University of Colorado
  • Kate Niehaus, Oxford University
  • Maithra Raghu, Cornell University
  • Ramya Ramakrishnan, Massachusetts Institute of Technology
  • Svitlana Volkova, Johns Hopkins University