CW14 Lightning talks

A lightning talk gives you two minutes (and one slide) to discuss your subject. They are the perfect way to introduce yourself at the workshop and get people talking about the subjects that interest you. You could talk about your work, an idea, a problem or anything that's related to software and research. 

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 (and practising before hand is the best way to ensure on the day yours is a good one). If you are preparing your talk please have a read of our handy tips.

If you want more time to investigate your subject, let us know and we can add the topic to our series of discussion sessions.

Record of lightning talk topics at CW14

  1. Helping you with your software - the Institute's Open Call - Steve Crouch
  2. Collective Mind: public framework and repository for collaborative and reproducible research and experimentation - Grigori Fursin
  3. Sharing software from research: what policy for funders? - Matthew Brack
  4. Science and Vagrant - Jure Triglav
  5. "The case for open computer programs" in Neuroscience - Stephen Eglen
  6. EPSRC UK National Service for Computational Chemistry Software - Ling Ge
  7. The NSCCS - a Learning Environment for Computational Chemistry Software -  Alexandra Simperler
  8. Cloud-sourcing: the best of both worlds? - Philip Fowler
  9. Tracking of fine-scale animal movements - Robyn A. Grant
  10. Re-searching Research: 'Yep. Looks about right' - Leanne Wake
  11. Coupling Codes - Derek Groen
  12. Recomputation in Scientific Experiments - Olexandr Konovalov 
  13. Reproducible Research with Virtual Experiments - Jonathan Cooper
  14. My PhD thesis: one giant Makefile -  Fabian Renn
  15. Dawn Science, a Collaborative Analysis Workbench -  Mark Basham
  16. Planning means progress - Neil Chue Hong
  17. Training biologists in reproducible research in the context of the CGAT programme - Andreas Heger
  1. Creating a University Continuous Integration server with Jenkins: the story so far -  James Hetherington
  2. Hackday: Taking Github / Jenkins interaction to the next level - Jens Nielsen
  3. Make programs scriptable and broaden impact - James Spencer
  4. Python interfaces to legacy codes for reproducibility - Robin Wilson
  5. More than tools... - Laurent Gatto
  6. Growing confidence as a researcher/coder - Jane Charlesworth 
  7. Multiscale model and repositories for  In silico oncology - Daniele Tartarini
  8. Infrastructure collaborations: maximising benefit and reducing reinvention - Rob Davey
  9. Research Data, the First Mile - Graham Klyne
  10. Archaeoinformatics - an information systems framework for archaeology - Ahmad Alam
  11. Software Methods for Irreproducible Research - Michael Fischer
  12. Three Keys to Reproducible Scientific Computing - Jan Kim
  13. Advertising new species on social media - Ross Mounce
  14. MultiSim - Nicolas Gruel
  15. Institute’s Software and Research Android App Coming Soon! - Devasena Inupakutika 
  16. Publication and Citation of Scientific Software with Persistent Identifiers - Martin Hammitzsch
  17. Software Prescriptions for Clinicians - Liberty Foreman
  18. BioJS a JavaScript framework for biological data representation - Manuel Corpas
  19. New approaches to verification and abstraction - Dominic Orchard
  20. Docker for reproducible science - Bruno Vieira
  21. ChemBioHub - Karen Porter
  22. UCL Research Software Development - James Hetherington
  23. - Arfon Smith