15 in 20 research fiesta
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Tony Hirst outlines 15 things he aims to accomplish in 15 days, with each item summarized in 15 seconds. These include creating proofs of concept for projects related to document processing, Jupyter notebooks, automation, quality analysis, student tools, interactives, visualization, digital humanities, concurrency, rule-based systems, GDPR compliance, and geospatial queries. Many of the projects are unaffiliated with his employer and involve rapid prototyping of tools and techniques using open source technologies.
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15 in 20 research fiesta
- 1. 15 things in 15 days, each in 15 seconds… Tony Hirst Computing and Communications The Open University, UK
- 2. My “research” Creating proofs of concept (not demos) and tracking the future present Approach
- 3. I try to build something new and/or learn (how to do) something new every day Philosophy
- 4. 1.BinderHub
- 7. 4.Jupyter TrackingJupyter (Student tools unproject)
- 8. 5.Selenium Browser Automation (OU-OSCAR utils unproject)
- 9. 6.DocumentQuality Macroscopes (Jupyter notebook quality unproject) (OUXML quality unproject) (Structural editing report unproject)
- 10. 7.StudentTools Rapid prototyping (magic) (Student tools unproject)
- 11. 8.Interactives (Student tools unproject) Rapid prototyping (widgets)
- 13. 10.DigitalHumanites Sketches Around Transkribus – Handwritten Text Transcriptions in Jupyter Notebooks (Palaeography unproject)
- 15. 12.RuleBased Systems/NLG Rapid prototyping (rules) (RallyDataJunkie sideproject)
- 16. 13.GDPR/Cookie Tracking (RallyDataJunkie sideproject) (OU GDPR Accountability unproject) Intercepting web traffic
- 17. 14.XIV.nFourteen… Live the magic (Student tools unproject) (Direct authoring unproject)
Editor's Notes
- My “research”, if you can call it that, is of an applied kind, exploring how current and emerging technology can be used to support our everyday activities. This presentation will review 15 things I “researched”, often from scratch, and typically from start to finish within the space of a day.
- Building things is quicker than trying to define them. I build things that work enough to show they can (and maybe will…)
- Every day, I try to play with something new to me that’s already out there, or combine existing things in new ways.
- Binderhub: launch live remote servers based on simple environment definition files hosted on Github. We should have our own, and perhaps contribute to the Binder Federation.
- Continuous integration means letting a machine build and publish something for you when you save it.
- CI can be used to publish websites from markdown, or notebooks, or OU-XML. I have tools to convert from OU-XML to markdown and then to notebooks, the web, PDFs etc. (Michel does too.)
- I publish an occasional newsletter that tries to maintain a birds-eye view over the Jupyter tools and how they are used. I am told people read it and find it useful.
- Browser automation means writing scripts to control the browser. So your code can use a GUI too. I use it to roll APIs. We could also use it to generate screencasts reproducibly.
- Microscopes let you see small, macroscopes let you see big. This tools shows how long some TM351 notebooks are, and how text and code is distributed through them. (I’m working on something similar for OU-XML.)
- IPython magic is a bit like macros. We created some for TM351, eg to show ERDs created live, in a notebook, from students’ own databases.
- The Jupyter GUIs support a wide range of interactive widgets. It’s easy to wrap third party Javascript applications as Jupyter widgets and use them in a notebook setting. This example exposes live wavesurfer spectrograms in a notebook.
- I play with dataviz as a hobby. This shows all the stage results for the recent WRC Monte Carlo rally, relative to a selected driver, along with pace summaries.
- During the strike, I started reading up about the Luddites. Lots of original documents are available so I started hacking a third party application and API so I could annotate scripts in text document.
- Multi-core processors are everywhere now, and the code is catching up. Asyncio in Python and webworkers in browsers mean concurrent programming is now commonplace. It’s handy for dealing with live data too.
- “Robot journalist” stories keep cropping up, but many new NLG tools don’t help, because journalists need to generating text from facts, or data. I keep dabbling with this because it could be important for local news. And sports journalism…
- Another use for browser automation. When I spotted that student names are sent to Facebook from the VLE, I started looking for traffic scrapers. Selenium wire is great that for that.
- Creating interacive maps doesn’t have to hard. Especially when there’s magic to hand…
- There are losts of powerful geo packages out there that support working with spatial information using relatively simple scripts.
- Some of the places where I post stuff…
- My text publications…