Dear Colleagues
FYI below
We introduce the IndabaX: a way to experiment with the ways in which we can strengthen our Machine Learning community, and to allow more people to contribute to the conversation.
A Deep Learning IndabaX is a locally-organised, one-day Indaba that helps spread knowledge and builds capacity in machine learning.
If you attended the Deep Learning Indaba 2017 (and even if you didn't), we encourage you to organise an IndabaX at your institution. We leave details of what exactly happens at an IndabaX to those who take on the role of organising
one. All we ask is that you organise your IndabaX in the period of 26 March - 6 April; applications for the main Deep Learning Indaba 2018 will be open during this time and we hope that you will encourage your attendees to apply.
The Deep Learning Indaba will support as many of these meetings as it can. Our support can include anything from: grants to financially support your event, help in planning and speaker invitations, publicity through the website,
or in any other ways that local organisers think would be useful. An IndabaX can be small or big. Be as creative as possible. Your IndabaX could be:
- A one day meeting to stream leading online lectures, group learning around a specific set of topics, code teaching, research-replication sessions, or poster sessions;
- A structured series of tutorial lectures by invited speakers from the country, continent, or abroad on a focussed topic;
- A one-day workshop that brings people together to discuss their latest research with short talks and a panel discussion, bringing together groups across your university;
- A hackathon around a specific dataset or important challenge.
To make this possible, we ask interested groups to send us a 1-2 page proposal describing the vision for their meeting. These proposals should concisely describe:
1. Your reasons for wanting to organise an IndabaX.
- Help us understand why you think it’s important to organise a local Deep Learning Indaba where you are, and what outcomes you hope to achieve.
2. Your plans to ensure diversity and inclusion in participants and speakers.
- Be mindful of the need for greater diversity in organisers, speakers and participants; one of the Indaba’s core principles.
3. A description of your IndabaX, and the format it will take.
- What type of Indaba will you organise and what will your day look like.
- Include a rough schedule, and any confirmed and potential speakers.
- Expected number of attendees. An IndabaX does not need to be big, it can be 10 people or 100 people; Anything that helps strengthen your local machine learning community.
- If you are in a region with other universities and centres, we encourage you to work with each other--create a critical mass in your region--and submit a joint proposal.
- How will you reach out to people and make them aware of your event. Try to be as inclusive as possible. Find interested first year undergraduates, and senior professors, and from different institutions. Spark the spirit of
the Indaba in them all.
- We ask that your event make explicit time to discuss how knowledge and capacity in machine learning can be spread more widely. And then to
send a summary of this discussion to the Deep Learning Indaba organisers to help us better plan future Indabas
4. Details of your organising team
- Any types of teams can apply.
- Describe the support that you think you will need.
- Send a proposal even if you don’t need funding. We'd love to see self-sufficient groups, and sending us your proposal helps us let everyone know about your efforts.
- If your proposal includes financial support, include a proposed budget.
- Funding can be requested for any need, e.g., budget to support coffee breaks or meals, to fund travel, cloud computing, meeting space, etc.
- Apply for amounts that supports the scope and scale of your IndabaX.
- We have a limited total budget, so we don’t expect to support any single event with more than ZAR 25,000. This is so we can try to support as many local groups as possible. Preference will be given to groups that collaborate
and co-locate their meetings across institutions.
- Include details of any support that you will receive from local institutions (your research group, department, university) or outside funding (startups, local businesses). We encourage everyone to seek additional support,
where possible, since this means we can support more local Indabas at more locations.
- You can apply from anywhere across our continent.
We ask all successful groups to send us a short summary of their workshop, a summary of their conversation on ways to strengthen African machine learning, and some pictures, after their meeting.
Send us your proposals by 21 January 2018. Successful IndabaX events will be notified by 10 February 2018, and will receive funding as soon as possible thereafter. Send your proposals, or any questions you might
have, to ind...@deeplearningindaba.com
Key Dates for #DLIndabaX2018
IndabaX proposals due: 21 January 2018
IndabaX notifications: 10 February
Indaba 2018 applications open: 1 March
IndabaX events: 26 March - 6 April
Deep Learning Indaba Team
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Ms. Precious Maputle |  | Faculty Marketing Co-ordinator | Faculty of Engineering and the Built Environment |
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