Call for Speakers and Instructors

Open Data Science Conference returns to Boston May 1-4, 2018

ODSC Speaker Profile

An ODSC speaker is someone with proven data science expertise and a strong capability 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.

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 that includes a complimentary four-day conference pass and access to our VIP/Speaker Lounge 

Call for Speakers Timeline

First Open Call for Speakers – November 16, 2017
End of First Round of Call for Speakers – December 23, 2017
Second Open Call for Speakers– January 2, 2018

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

You can submit a presentation for ODSC conference or for “Accelerate AI” summit which is ODSC’s business summit. 

Accelerate AI is ODSC’s business summit for executives and business professionals.  Co-located with ODSC, the summit will bring together top industry executives and CxOs to help you understand how AI and data science will transform your business.

Submission Notification

All submissions will received notification, regardless of status, by February 1st. 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 (50 minutes)
  • Hands-on workshop (1 hour 45 minutes)
  • Tutorial (1 hour 45 minutes, no coding)
  • Half Day Hands-on Training (3.5 hours)
  • Full Day Hands-on Training (3.5 hours x 2)

Format for Business Sessions

  • Talk (30 minutes)
  • Panel (45 minutes, propose panel topic)
  • Hands-on workshop (90 minutes)
  • Tutorial (90 minutes, no coding)

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 use 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 and Training

Workshop and Training 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 and training 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 have many other opportunities during the conference for that. Please email us at info@odsc.com for more details.

Additional Information

If you know someone who would be a great addition to speak at our audience 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 Submission Here
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Topics of Interest

Focus Areas

  • Deep Learning

  • Machine Learning

  • Predictive Analytics

  • Natural Language Processing

  • Cognitive Computing

  • Data Wrangling

  • AI Research

  • Data Science at Scale

  • Data Science Managment

  • Data Science Workflow

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