Call for Speakers and Instructors
ODSC East 2021
March 30th – April 1st, 2021
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.
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 four-day conference pass and access to our VIP/Speaker Lounge
Call for Speakers Timeline
- Call for Speaker Proposals Opens – November 6, 2020
- Deadline for Round One Speaker Proposals – December 18, 2020
- Round One Notification of Acceptance – January 3, 2021
- Round Two for Speaker Proposals Opens – January 4, 2020
- Round Two Deadline for Speaker Proposals Closes – February 7, 2021
- Round Two Notification of Acceptance – February 21, 2021
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 is determined by any focus areas in which 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. Co-located with ODSC, the summit brings together top industry executives and CxOs to help attendees understand how AI and data science transform business.
Submission Notification
All submissions will receive notification, regardless of status, by February 7th. 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 (45 minutes)
- Hands-on workshop (1 hour 30 minutes)
- Tutorial (1 hour 30 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)
- Tutorial (60 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. 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 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, other openings and avenues at the conference abound. Please email us at info@odsc.com for more details.
Additional Information
If you know someone who would be a great addition to our roster of speakers, 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
Topics of Interest
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 of Interest

Focus Areas
Deep Learning
Machine Learning
Predictive Analytics
AI for Engineers
Natural Language Processing
Data Visualization
Data Wrangling
AI Research
Data Science at Scale
Data Science for Good
Data Science Management
Data Science Workflows
AI Business Summit

Topics
Recommendation Systems
Transfer Learning
Machine Vision
Autonomous Machines
Conversational AI
Data Science Research
Artificial Intelligence
Speech Recognition
Unsupervised Learning
Image Classification
Self-driving Vehicles
Machine Translation
200+ Speakers over 4 days

Tools
Tensorflow, PyTorch, MXNet, Caffe 2, Chainer, CNTK
Python, Jupyter Notebooks, XGBoost
R programming, Julia, Scala, Stan,
Apache Spark, MLlib, Streaming
Scikit-learn, Theano, Shogun, Pylearn2
Azure ML, Amazon ML,H20.ai, Cloud ML
Kubeflow, Kubernetes, Seldon, Airflow,
Neo4J, D3.js, R-Shiny
Hadoop, Apache Storm, Apache Flink, Kafka, Druid
See schedule for many more..