Call for Speakers and Instructors

ODSC APAC 2020

Dec 8th – Dec 9th

Please Make Your Presenter Submission Here
Submit

ODSC Speaker Profile

An ODSC speaker is someone with proven data science expertise and a strong ability to present the latest languages, tools, and models used in data science and AI for business. These individuals are committed to sharing innovative ideas and contributing to the growth of open source software. Since its inception, the Open Data Science Conference has highlighted the significant contributions presenters make to the field of data science. Thanks to their participation, attendees have come to expect the highest quality talks, workshops, and training sessions.

Our speaker agenda has many goals but there a three of the most important.

  • Diversity –  We strive to ensure we have a diverse lineup of speakers that reflects our diverse community; we seek to be inclusive to all. Please refer to our code of conduct for more details. We encourage speakers of all background to submit. We also have other speaking opportunities such as meetups if you are looking to improve your speaking skills
  • Learning Outcomes –  We aim to select speakers and content based on positive learning outcomes so that attendees can continue to utilize what they learn post-conference. Speakers that provide resources, have solid experience, and provide reproducible learning outcomes are preferred
  • Open Source –  We believe that Open Source Data Science is the most important aspect of making data science accessible. We strive to have a very comprehensive agenda of in-demand open source frameworks, tools, model kits, and languages.

Why speak at ODSC?

  • Expertise Present before a highly motivated and activated audience 
  • Dialogue Directly engage with a diverse data science community ranging from PhD data scientists to senior engineers, team leads, C-suite executives, and enthusiastic beginners 
  • Network Interact with top-level core contributors in data science as well as thought leaders and innovators 
  • Experience Receive our rock star speaker treatment, which includes a complimentary conference pass and access to our VIP/Speaker Lounge 

Call for Speakers Deadlines

  • Call for Speaker Proposals Opens – August 20, 2020
  • Deadline for Round One Speaker Proposals – September 12, 2020
  • Round One Notification of Acceptance – September 19, 2020
  • Round Two for Speaker Proposals Opens – September 20, 2020
  • Round Two Deadline for Speaker Proposals Closes – October 10, 2020
  • Round Two Notification of Acceptance – October 17, 2020

Please be advised that the First Open Call for Speakers is the best opportunity to get your session accepted for ODSC APAC. The Second Open Call for Speakers is a rolling call for submissions and depends upon filling any focus areas the speaker committee feels needs more quality speakers.

You can submit a technical or business (non-technical) session.

Submission Notification

All submissions will receive notification, regardless of status, by October 24.

Talk Session Formats

Proposals will be considered for the following types of presentations:

Format for Technical Sessions

  • Talk (30 minutes)
  • Hands-on workshop (1 hour 30 minutes)
  • Tutorial (1 hour 30 minutes, no coding)

Format for Business Sessions

  • Talk (30 minutes)

Submission Guidelines

Here are some helpful guidelines to consider for your proposal:

Title

Your title should grab the interest of attendees and concisely tell attendees what your session is about.

Abstract

The recommended abstract must be at least 250 words. However, ensure your abstract is succinct and speaks to both the topic and context of your presentation. This abstract will be used on an online speaker page, mobile app, and other online marketing platforms. The description must also explain what the attendee will learn from your presentation.

Be advised that the speaker committee reserves the right to reject any talk at any time, if the presentation does not match the abstract and stated intent.

Topic Difficulty Level

ODSC attracts a highly-educated audience of data science practitioners. The topic difficulty level you select must consider the quality of our audience in addition the complexity of the data science languages and tools you will discuss.

Beginner: These sessions help attendees learn the fundamentals of a subject area.

Intermediate: These sessions help attendees increase their knowledge of a subject area.

Advanced: These sessions help attendees increase their already advanced knowledge of a subject area.

On the submission form, you will be asked to explain why the particular topic difficulty level was selected.

Workshop

Workshop sessions require a demonstrable track record in data science instruction. Individuals who qualify include those who have experience teaching at a university, boot camp, or educational organization as well as core contributors to the data science field.

Workshop sessions will undergo a secondary review process of the session’s curriculum.

Originality

In keeping with our motto, “The Future of AI is Here,” original presentations and materials are preferred in contrast to recycled presentations.

Product and Service Pitches

Product or services pitches are expressly prohibited by ODSC. When you submit, you are obligated to confirm your proposal is not a sales pitch for a proprietary software or an indirect sales channel for a company. If you are looking for an exposure opportunity for your company, we offer other avenues for promotion during the conference. Please email us at info@odsc.com for more details.

Additional Information

If you know someone who would be a talented presenter, please let us know at speaker-suggestions@odsc.com

If you are a business looking to present to our data science audience, please see our partner section.

Submit Your Proposal

Please Make Your Presenter Submission Here
Submit
Topics of Interest

Focus Areas

  • Deep Learning

  • Machine Learning

  • Natural Language Processing

  • Research Frontiers

  • MLOps and Data Engineering

Tools

  • Python, Jupyter Notebooks

  • R programming, Julia, Scala, Stan

  • Apache Spark, MLlib, Streaming

  • Tensorflow, MXNet, Caffe, CNTK

  • Scikit-learn, Theano, Shogun, Pylearn2

  • Azure ML, Amazon ML,H20.ai, Cloud ML

  • Neo4J, D3.js, R-Shiny

  • Hadoop, Apache Storm, Apache Flink, Kafka

Topics

  • Reccomendation Systems

  • Transfer Learning

  • Machine vision

  • Autonomous machines

  • Conversational AI

  • Data Science Research

  • Artificial Intelligence

  • Speech Recognition

  • Data Science for Good

  • 200+ Speakers over 4 days