CW15 Lightning Talks

A lightning talk gives you two minutes (and one slide) to discuss a subject. Lightning talks are the perfect way to introduce yourself at the workshop.

You could talk about your work, an idea, a problem, a pitch for the CW Hackday or anything that's related to software and research, and ideally related to the them of interdisciplinarity in research software.

If you would like to present a lightning talk, let us know. You need to provide a title and a couple of sentences to describe the talk.

How quick is lightning?

Lightning is pretty quick: two minutes. You are also allowed only one slide. You'll be presenting alongside a countdown timer, so you'll have to keep to time. However, it's amazing how much you can present in two minutes.

If you want more time to investigate your subject, let us know and we will try and add it to our series of discussion sessions.

If you are preparing a lightning talk for CW15 please take a read of our handy tips. Remember CW15 is going to attract people who are interested in both software and research, so tailor your talk to meet their needs.

Topics for lightning talks

Interdisciplinarity, reproducible research, software, training, research software methods and software management - just some of the themes that will be covered by the lightning talks.

Get the slides

The lightning talks are listed below, with links through to each slide. Alternatively, you also download a complete set of all of the slides.

Order of talks

  1. 'Using molecular simulations to predict antibiotic resistance from whole genome sequencing; marrying computational chemistry, eInfrastructure and clinical genomics' by Philip Fowler
  2. 'Creating and reporting reproducible benchmarks' by Sarah Mount
  3. 'Talk to me' by Boris Adryan
  4. 'Continuous computation: building and sorting a pile of DNA' by Joe Parker
  5. 'Understand your users as if you were a start-up company' by Neil Chue Hong
  6. 'The British Library: A place for a data. A community not ready. A team on the case.' by James Baker
  7. 'Automated training materials generation with Dexy, Pandoc and Jenkins — write once, get slides, website, pdf handout and an IPython notebook' by James Hetherington
  8. 'A Software Management Plan Service' by Mike Jackson
  9. 'NSCCS - EPSRC's National service for compuational chemistry software' by Alexandra Simperler
  10. 'How to publish and use scientific software in the near future' by Martin Hammitzsch
  11. 'Crowd-sourcing Materials for Teaching Software Engineering' by Robert Haines
  12. 'Science in a Container' by Susheel Varma
  13. 'Scientific Software Citations' by Olexandr Konovalov
  14. 'Stan: A Platform for Efficient Bayesian Inference' by Michael Betancourt
  15. 'A perfect reproducible research system?' by Robin Wilson
  16. 'From question to data: software for psychology research' by Mihaela Duta
  17. 'FLOSS Manuals and distributed publishing' by Larisa Blazic
  18. 'From raw data to evaluation: managing experiment workflow with build systems' by Dimitrijs Milajevs
  19. 'Computational evolutionary simulation' by Russell Garwood
  20. ​'Bioinformatics for emerging organisms' by Yannick Wurm
  21. 'Bionode - Scalable bioinformatics with Node.js Streams' by Bruno Vieira
  22. 'Using MATLAB File Exchange and GitHub as a multi-disciplinary collaboration tool' by Bet Herrera Sucarrat
  23. 'Translating Academic Research Into Production Code' by Andrew Rimmer
  24. 'DMPonline for Data Management Planning: join our community!' by Marta Ribeiro
  25. 'Paper Hackathons' by Derek Groen
  26. 'Reproducible Research in The Cloud' by Mark Stillwell
  27. 'A journey from data to money' by Nanlin Jin
  28. 'The fight for survival: programming language evolution and endangered software' by Dominic Orchard
  29. 'Python Community of Practice (PyCoP)' by Mark Basham
  30. ​'Data mining for lab based biologists: Open source tools to enable large scale biological network analysis through a web browser' by Peter Clarke
  31. 'Annalist linked data notebook' by Graham Klyne
  32. 'Using Multi-Label Text Classification to Mine Embodied Emotions in Historical Text' by Janneke van der Zwaan
  33. 'Building cross-domain codebase at Netherlands eScience Center' by Mateusz Kuzak
  34. 'Bias correction in large climatic data' by Ioannis Bistinas
  35. 'Sharing is broken! Let's fix it by connecting researchers!' by David Perez-Suarez
  36. 'Python, Pandas and HDF5: Data analysis techniques' by James Morrison
  37. 'Finding Interdisciplinary Research and Software Connections' by Jim Hensman
  38. 'Agent-based computational economics (ACE) using Scala and Akka' by David Pugh
  39. 'ELIXIR UK' by Rita Hendricusdottir
  40. ​'How do you Build, Install and Deploy?' by Ben Morgan
  41. 'Enabling reproducible, transparent research' by Norman Morrison
  42. 'Organic Chemistry Science Gateway' by Mikhail Kabeshov 
  43. 'GUI or code? Don't make me choose' by Alys Brett