Be a Part of DataTech19
This one-day data science conference will cater to a technical audience and opens a platform for analysts, developers, engineers and scientists from the public sector, academia and industry to come together and discuss the back end of data projects. We invite submissions on the topics below (and case studies in which they play a role), as well as any other topic relevant to an appreciable fraction of the data science community. In addition, we also encourage submissions with the potential to bridge multiple topics of wide interest.
Topics of interest
Scaling algorithms, software and hardware to cope with large amounts of data (including data reduction, code optimisation, use of GPUs, cloud and high-performance computing, etc.)
Machine learning, modelling techniques, and model selection and validation
Data exploration: visualisation techniques / tools and query facilities
Scientific workflows and data frameworks for data collection, storage, cleaning, modelling and result interpretation: approaches and best practices
Reproducible and collaborative data science (including sub-themes such as open data, code maintainability, code smells etc.)
Robust estimation methods for problematic real-world data
Web / phone applications and resulting data
Applications of analysing various types of data: numeric, text, image, sound and video (e.g., Internet of Things, traffic monitoring etc.)
Challenges in causal inference
You will be able to state your preference for any of the following submission formats:
Presentation (20 minutes + 5 minutes for Q&A)
Lightning talk (7 minutes)
If your proposal is successful, and depending on demand, it is possible that you may be asked to switch from one format to another. However, the Organising Committee will make every effort to respect your original preference.
There is no penalty if you submit multiple proposals, provided that they are on different topics. However, only the top-ranked submission per author will be accepted.
Dates to remember:
Submission deadline: 16 November 2018
Submission decisions: 9 December 2018
Deadline for submitting slides and posters: 7 March 2019
Review criteria for submissions
DataTech follows a comprehensive submission process.
This helps the Organising Committee better understand what will be presented and ensure that great proposals translate into great talks or posters.
Submissions will be evaluated according to the review criteria using a blind review process. The Organising Committee recognises that fulfilling these criteria can be challenging, because it requires content to be prepared well ahead of DataTech. However, this approach has been implemented with the aim to strike a balance between facilitating the process for submitters and ensuring that talks and posters engage attendees from a range of communities as best as possible.
Please read our expectations of speakers and poster presenters before you submit your proposal.
DataTech only accepts submissions by the original authors of the submissions. Submissions created on behalf of the original authors (by lab members, PR firms, speaking relation firms etc) are discouraged. DataTech19 organisers require direct contact with presenters to expedite any questions during the submission review process (e.g., for any clarifications regarding the proposal, and submitting headshots for online promotion purposes).
DataTech does not accept product or vendor-related submissions. If your submission contains (even disguised) advertisement for any new product, technology or service your company is offering, please do not submit. However, if you would like to be a sponsor for DataTech19, please contact us at email@example.com.
Please submit your proposal
Good luck with your submissions for DataTech 2019! We look forward to welcoming you in Scotland.
Contact: Please note the DataTech19 Committee are here to help. If you have any additional questions,
please email firstname.lastname@example.org