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16 March 2020
Technology and Innovation Centre,
Glasgow

 

 

Data Tech provides a forum to discuss deep technical elements of data science, bringing together technical communities, practitioners and academics working on similar challenges across different sectors to share knowledge and experiences, learn from each other and forge new collaborations. 

 
 

Bringing Technical Communities Together

Data Tech brings together members of industry, the public sector, and academia for technical presentations and discussions of salient topics in data science, to share technical expertise, and engage in networking and collaboration. The conference also serves as a forum to share emerging research in data science. Together we can explore the potential beyond existing data technologies and techniques.

 

The newest event in the DataFest family grows in 2020

DataTech19 was a massive success, selling out weeks in advance (see here to find out more about last year’s speakers). In 2020, we are welcoming new topics and submission formats (including workshops), as well as a larger audience, for greater collaboration and networking opportunities. To be part of DataTech20 as a presenter, please consult the submission guidelines below.

 

Dates to remember:


Call for proposals opens: October 2019
Deadline for submissions: 12 January 2020
Announcing decisions: 27 January 2020
Deadline for submitting slides and posters: 6 March 2020
DataTech20: 16 March 2020

 
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Be a Part of DataTech20


 
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SUBMISSION GUIDELINES:

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

  • Methods, tools and techniques for data science (e.g., Probabilistic methods, Spatial & time series, Machine learning, Handling missing data, etc.)

  • Ethical implications for processing data (e.g., Using data for social good, Algorithmic bias and algorithmic decision making, Privacy enhancing technologies, etc.)

  • Natural Language Processing

  • Development & data workflows

  • Data visualisation

Review criteria for submissions

DataTech follows a comprehensive review process, where proposals will be evaluated according to these criteria. This helps ensure that proposals translate into a great workshops, talks and posters. Submissions will be evaluated using a blind review process, where only non-identifying information will be used to form a decision. Please read our expectations of speakers and poster presenters before you submit your proposal, and submit your proposal here.

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. DataTech20 organisers require direct contact with presenters to expedite any questions following the review process (e.g., for any clarifications regarding the proposal, and submitting headshots for online promotion purposes).

 Submission formats

You will be able to state your preference for any of the following submission formats:

  • Workshop (2 hours)

  • Presentation (25 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.

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 sponsor DataTech20, please contact us at datatech@thedatalab.com.

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.

 

Click HERE to see keynote speakers from 2019, and HERE to see speaker slides from 2019.

Book your Tickets Now


Our Data Tech 19 Exhibitors Included

Organising Committee

 

Dr Caterina Constantinescu (Chair), The Data Lab
Mr Neil Chue Hong (Advisor), EPCC/Software Sustainability Institute
Dr Colin Gillespie (Advisor), Jumping Rivers
Dr Russell Hyde (Advisor), University of Glasgow
Dr Ioanna Lampaki (Advisor), EPCC
Dr Nick Radcliffe (Advisor), Stochastic Solutions


 
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Keep up-to-date with DataFest20

 
 
 
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