Please use this form if you would like to submit a talk, lightning talk, or poster proposal for DataTech19.  You can contact datatech@thedatalab.com if you have any queries in relation to the submission process.

You should take care to only include personally identifiable information if it is explicitly requested. Otherwise this may invalidate the blind review process.

Before you submit, please make sure you have read the Review criteria and the Speaker / poster presenter expectations.

Please note: All applicants that submit a proposal and are accepted must agree to the DataFest19 Code of Conduct.

The Data Lab aims to generate economic, social and scientific value to Scotland through the application of data science. 

To help achieve this, we will part-fund Industrial Doctorate (PhD / EngD) studentships in partnership with Scottish industry and public sector organisations. 

Applications will be reviewed on 9 January 2019. 


Personal information provided in application form will be processed by The Data Lab [University of Edinburgh] in order to keep the Applicant(s) informed of progress with the Application. This information will not be processed for any other purpose. The form will be shared with third parties for reviewing purposes. They will sign a NDA before receiving the application. Please do not include your address or telephone number in your CV. Information will be retained for 5 years.

If you have an idea for a Industrial Doctorate (PhD / EngD) project but you do not yet have an Industry Sponsor you can complete and submit this form to provide an outline of your idea. The Data Lab will use this information to make relevant introductions to potential Industry Sponsors.

You can choose to make the information provided in this application private or publically available. 

This application is for the sole purpose of matching University Partners with Industry Sponsors. It is not recognised as a submission and it will not be reviewed by the Reviewing Panel.

Please use this form if you would like to submit a Workshop, Lecture, Hackathon or Debate.

To submit a Training Course, please go to the following form here

Please note, all applicants that submit a proposal must agree to the DataFest19 Fringe Terms & Conditions.

Please contact datafest@thedatalab.com if you have any queries in relation to the submission process.

Please use this form if you would like to submit a Training Course as part of the DataFest 2019 Fringe Event Programme.  

We are open to applications from all sectors, academic institutions and businesses.  The aim of our Fringe Event programme is to promote all aspects of Data Collaboration to all audiences.  As part of this, we are open to all levels of Training Courses; from data science masterclasses to introductory sessions for the general public.  

Potential focus areas for Training Courses may include Data Ethics, Personal Privacy, Data Architectures, Data Wrangling, Data Management, Data Modelling, Data Analysis, Data Visualisation, Statistics, Machine Learning, Artificial Intelligence or any other Data-related topics - we strongly encourage creativity and are open to any & all ideas!

Please note, all applicants that submit a proposal must agree to the DataFest19 Fringe Terms & Conditions.

Please contact datafest@thedatalab.com if you have any queries in relation to the submission process.

If you are a company, public or third sector organisation and you have an idea for an Industrial Doctorate (PhD / EngD) project but you do not yet have a University Partner you can submit this form to outline your idea. The Data Lab will use this information to make relevant introductions to potential University Partners.

You can choose to make the information provided in this application private or publically available. 

This application is for the sole purpose of matching Industry Sponsors with University Partners. It is not recognised as a submission and it will not be reviewed by the Reviewing Panel.

Personal information provided in application form will be processed by The Data Lab [University of Edinburgh] in order to keep the Applicant(s) informed of progress with the Application. This information will not be processed for any other purpose. 


Data Lab