14 March 2019



We are delighted to introduce a new event to the DataFest family, DataTech. DataTech19 aims to bring together members of industry, the public sector, and academia for technical presentations and discussions of important topics in data science, to share technical expertise, and engage in networking and collaboration. The conference will also serve as a forum to share emerging research in data science. Together we can help make Scotland the global centre of data. 

We invite you to submit a proposal to be part of DataTech19.  


Be a Part of DataTech19

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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

  • Deep learning

  • 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

 Submission formats

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)

  • Poster presentation

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.

Multiple submissions

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: 1̶6̶ ̶N̶o̶v̶e̶m̶b̶e̶r̶ ̶2̶0̶1̶8̶ 9 December 2018

Submission decisions: 9̶ ̶D̶e̶c̶e̶m̶b̶e̶r̶ ̶2̶0̶1̶8̶ 17 December 2018

Deadline for submitting slides and posters: 7 March 2019


 Review criteria for submissions

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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.


Original authors

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).

 Vendor proposals

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 datatech@thedatalab.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 datatech@thedatalab.com


Data Tech 19 Keynote Speakers


  Jared Lander  Chief Data Scientist of Lander Analytics

Jared Lander
Chief Data Scientist
of Lander Analytics

  Mine Çetinkaya-Rundel  Associate Professor of the Practice, Duke University Data Scientist + Professional Educator, RStudio

Mine Çetinkaya-Rundel
Associate Professor of the Practice, Duke University
Data Scientist + Professional Educator, RStudio

  Debbie Bard  Acting Group Lead for Data Science Engagement, National Energy Research Scientific Computing Center

Debbie Bard
Acting Group Lead for Data Science Engagement, National Energy Research Scientific Computing Center


Our Data Tech 19 Exhibitors Include:

Organising Committee


Dr Caterina Constantinescu (Chair), The Data Lab
Dr Arno Proeme (Co-chair), Edinburgh Parallel Computing Centre
Dr Colin Gillespie (Advisor), Jumping Rivers
Dr Roman Popat (Advisor), Data Kitchen
Dr Rosa Filgueira Vicente (Advisor), Edinburgh Parallel Computing Centre
Dr Federico Andreis (Advisor), University of Stirling
Dr Russell Hyde (Advisor), University of Glasgow


Book your Tickets Now


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