Deep Learning Indaba𝕏 South Africa Application
We welcome students, academics, and industry professionals to attend the Deep Learning Indaba𝕏 South Africa - one of South Africa's premier Machine Learning gatherings and community-building spaces 🤝. ["Indaba" is a Zulu and Xhosa word meaning "discussion" or "conference"]
All backgrounds are welcome!
As much as we want everyone to join us, there is limited space available so we can only allow ~200 attendees in order to maximise their experience 🏫. We will have videographers and photographers at the event 📷, smiles encouraged 😃.
This form will take roughly 20 minutes to complete and Google Forms does not enable checkpoints.
Please put thought and effort into the long questions, these are your chance to really motivate your attendance:
> What would you gain from the IndabaX conference? [200 words]
> What would you bring to the IndabaX? [200 words]
> Describe your work/research or experience [200 words]
Tips for a successful application:
Accepted attendees are heavily subsidised: South African students are free, and academics & professionals will have to pay a nominal fee to cover some costs (R1250 or R2500, respectively).
We have some South African government funding available for fellowships so a select number of students can have their regional flights and accommodation funded. The organising committee will organise flights and accommodation only.
Applications close: 31st January 23:00 SAT
Application acceptance notification: ~ 14th February ❤️
RSVP to secure spot (including payment if applicable): ~ 6th March
Event Timing: March 24th-27th, 2020
Event Address: University of Pretoria
Contact us at
Support and Sponsors
If you are interested in supporting us, please fill out the sponsorship form or email us directly for more information.
Employees of companies who sponsor the event can attend free of charge, according to the sponsorship agreement.
Talks and Posters
**we encourage unpublished and already published work alike**
We have some slots available for submitted talks 🎤 , posters 🖼️ , and leading an unconference conversation.
"What is an Unconference?":
This form includes space to submit your research for a talk and/or poster.
You should have the following items prepared:
(2) author list (including email addresses of all authors), and
(3) EITHER two-page PDF OR an existing publication.
Accepted *talks* will have their fees waived if applicable, but speakers are expected to make their own way to the Indaba𝕏.
The Indaba𝕏 is NOT a "pay-to-speak" affair. Sponsors and speakers are independently organised, but can overlap.
We welcome the submission of published work for a talk or poster.
Abstracts will be evaluated on the basis of a two page (A4 or US Letter) submission in PDF format.
This two-page PDF should contain:
1. Clear title - 100 characters or fewer (including spaces), capitalized in sentence case
2. 300-word Summary - brief description of the study's primary findings, emphasising their significance, generality, novelty and relevance. You will be asked to copy this 300-word summary into a text-only box; it will be included in the Indaba𝕏 program if your submission is accepted.
Additional Detail - use the remaining space to expand upon the central question(s), approach, results, and/or conclusions of the study. You may include equations as appropriate. Figures are optional. You need not touch upon all the major points of the Summary, but should aim to include whatever detail will best help reviewers to evaluate the significance of your study. Do not feel obliged to fill the entire two pages.
Font size (including any figure legends) must be at least 12 point. Margins should be at least 0.5". This two-page PDF will be the only document seen by reviewers. (Abstracts exceeding two pages will have additional pages removed). Submissions that do not meet these guidelines may be rejected.
PDF submissions will be evaluated on the basis of the following criteria:
The submission should clearly explain why your question is important and how your claims will advance the field. Include enough detail that reviewers can assess the technical content of your methods and results. Please be sure to address the significance and fit of your submission for the audience, which includes a mix of academics and industry interested in the functional properties of deep learning and machine learning.
Double-blind - The reviewing process will be double-blind at the level of reviewers. Authors are responsible for anonymizing their submission. In particular, do not include author names, author affiliations, or acknowledgements in the abstract or body of the submission and avoid providing any other identifying information in text or figures. A double-blind review may not be completely possible for published works, but attempts will be made to anonymise the process.
Specific to Posters
Please view this video for an example on how to improve your poster design
[adjust the template to your own needs!]
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