Call for Speakers and Instructors is open!


Submit your speaker proposal

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 backgrounds 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 – February 12, 2024
  • Deadline for Round One Speaker Proposals – April 15, 2024
  • Round One Notification of Acceptance – May 27, 2024
  • Round Two for Speaker Proposals Opens – June 3, 2024
  • Round Two for Speaker Proposals Closes – June 21, 2024
  • Round Two Notification of Acceptance – July 12, 2024

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 need more quality speakers.

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

Submission Notification

All submissions will receive a notification, regardless of status, by July 19, 2024. All proposals submitted after this deadline will receive a response within three weeks.

Talk Session Formats

Proposals will be considered for the following types of presentations:

Format for Technical Sessions

  • Talk (30 minutes)
  • Hands-on workshop (2 hours)
  • Tutorial (1 hour)

Format for Business Sessions

  • Talk (30 minutes)

Submission Guidelines

Here are some helpful guidelines to consider for your proposal:


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


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 to 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 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.


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 service pitches are expressly prohibited by ODSC. When you submit, you are obligated to confirm your proposal is not a sales pitch for 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 for more details.

Additional Information

If you know someone who would be a talented presenter, please let us know at

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

Click Here to submit your speaker proposal
Topics of Interest

Focus Areas

  • Machine Learning & Deep Learning

  • NLP & LLMs

  • Big Data & Data Analytics

  • Data Engineering & MLOPs

  • Responsible AI and Social Good


  • 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,, Cloud ML

  • Neo4J, D3.js, R-Shiny

  • Hadoop, Apache Storm, Apache Flink, Kafka


  • Reccomendation Systems

  • Transfer Learning

  • Multimodal Models

  • Autonomous AI Agents

  • Traning and Fine tuning LLMS

  • Data Science Research

  • Artificial Intelligence

  • Speech Recognition

  • Data Science for Good

ODSC Newsletter

Stay current with the latest news and updates in open source data science. In addition, we’ll inform you about our many upcoming Virtual and in person events in Boston, NYC, Sao Paulo, San Francisco, and London. And keep a lookout for special discount codes, only available to our newsletter subscribers!

Open Data Science




Open Data Science
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Cambridge, MA 02142

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