flaxandteal.gitlab.io/talk-newtech-2020
Building sector agnostic
open source, on-demand, container-based,
geodata science platforms for the web
Why?
Infrastructure, not application
What other applications of the identical back-end?
Why open source, why open data?
Modelling
- Go-Smart: Clinical Domain Model (EU-FP7: numa.ie)
- FEniCS, Elmer, OpenFOAM
- Key to de-coupling model & case
- Abstract - Simulation - Case
(pre-print: http://bit.ly/gs-cdm)
<simulationDefinition>
<algorithms/>
<parameters/>
<numericalModel>
<definition name="DFAMILY" file="[ DFILE ]"/>
<needles>
...
Data Times: data.gov.ie + Google DNI
Lintol: Open Data Institute
Where are user-driven models useful?
Setting up researcher-driven & model trials
Providing localized algorithms
via a single SaaS
National/local government services
phil.weir@flaxandteal.co.uk
10 Challenges
& Considerations
with web analysis platforms
Security
- 1: Sandbox
- 2: Storage and transit
- 3: Automate infrastructure
Flexibility
- 4: Beyond blocks
- 5: Power of Python/R/Julia/Rust...
- 6: No intervention required
Lift & Lay
Reproducibility
- 8: Track everything, for everybody's sake
Interfacing
- 9: Can test locally, easily
- 10: Simple, succint interaction libs
>>> from gosmart.parameters import R
>>> [r.idx for r in R.group("organ")]
[1, 2, 3]
Summary
- Openness
- Scalability
- Security
- Collaboration
Questions
(or data science, product dev, consultancy, training)
phil.weir@flaxandteal.co.uk // @flaxandteal
flaxandteal.gitlab.io/talk-newtech-2020