Data have been playing a fundamental role in the response to the COVID-19 pandemic, since the beginning of the crisis. Researchers and industry leaders have contributed to the fight against the virus in several ways: from the analysis of large-scale behavioral data, to the advance of medical treatment, to the development of data-driven epidemic models. 

We invite submissions of contributions from researchers and practitioners in Industry and Academia on the broad set of applications of Data Science, Machine Learning and Advanced Analytics aimed at supporting decision-making in response to the COVID-19 pandemic.

Help us to make a great interdisciplinary session in one of the largest machine learning and AI events in Europe!

About your presentation

• Language: all presentations are in English
• Duration: we would like to keep the sessions interesting, full of energy and fast-paced, thus we’re looking for talks of a length of 15 minutes. We will be on a tight schedule and will enforce the time limits rigorously. We suggest that you time your presentation in advance.
• Audience: your public will be made of researchers, practitioners, students, with different levels of knowledge and expertise. We suggest not to dig into very technical details. Still, feel free to provide references and pointers in case someone is interested in investigating further!
• Focus: the best presentations have a point. And one point only. Keep both your talk and its proposal concise and focused. A rule of thumb is the following: if you need more than three paragraphs for your proposal, try to reduce its scope. This will help us to deal with the massive amount of submissions we get, help you to streamline your presentation, and help the audience retain the most out of your talk.
• Originality: one of the things we want to do at AMLD is to push the community forward. Thus, we favor original content. If you want to present a topic that you have talked about elsewhere, try to add a twist, new research or development to it - something to make it unique.

Selection process

Here’s how presentations will be selected:

1. All submissions are anonymized, so that there is no bias towards the submitter.
2. All submissions are reviewed and voted for by the conference and track organizers. Each presentation is rated on a scale from 1 to 10 by different reviewers, and the marks are averaged. The evaluation takes into account the following criteria:
   1. relevance of the topic to the ML community and for the track
   2. coherence and clarity of the proposal
   3. novelty/originality of the topic
   4. consistency with the time limits
3. The top submissions are then de-anonymized so we can take speaker details into account.

Video recording for presentations

We plan to record and publish all talks online for free, along with a recording of the slide deck, live demo, and any on-presenter-screen activity. We do this for the benefit of the larger ML community and those who couldn’t make it to the conference. Since you retain full ownership of your slides and recording, we’d like to ask you to make your materials and recording available under a Creative Commons (we default to non-commercial reuse) or other open source licenses.

We hope you agree with us, but if you are uncomfortable with this in any way, let us know.

Apply now by filling this form