Details
Data Science for Everyone
20 Sep 2021
9:00 am
The 2021 Citizen Data Science Summit will be held in a hybrid model. Attendees are invited to join us in Boston / Cambridge at the Hyatt Regency for a full day of engaging sessions. Remote attendees will experience a live simulcast.
Early Bird Pricing:
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In Person* Ticket - $50
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Remote Attendance Ticket - Free!
Regular Pricing:
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In Person Ticket - $100
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Remote Attendance Ticket - $25
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Students and MIT affiliates are eligible for free tickets. Group rates are available. Please reach out to learn more.
For the safety of our guests and staff, masks and vaccinations will be required for all in person attendees.
Questions?
Why Citizen Data Science?
Because data is everywhere
Gartner first coined the term "Citizen Data Science" in 2016, describing a diverse and distributed network of analysts, who should be able to create data science outputs without being full time data scientists. Since then, demand for data science expertise has continued to grow unabated. There are more data than ever, more questions than ever - but organizations struggle to prioritize data science asks and suffer from coordination friction.
But when every "citizen" steps up, and data science capability is embedded throughout an organization, time to insight and action can be shortened. Their remit might range from simple descriptive outputs and business intelligence to implementation of machine learning techniques.
At the same time supporting Citizen Data Scientist requires us to rethink current Data Science tools, organizational structures, and the way SME, Citizen Data Scientist, and Data Scientist work together. The goal of this one-day conference is to bring researchers, startups creating CDS tools, and companies, who want to expand their CDS workforce, together to learn from each other and form new collaborations.
So the 2021 Citizen Data Science Summit is for everyone:
Executives
Hear the best practices other leaders have developed while building out democratized analytics within their organizations.
Analysts
Learn about new tools and recent research results to make better data driven decisions and where the field is going
Data Scientists
Understand how you can lead efforts to spread data literacy within your organization and increase your data science throughput.
Researchers
Connect with practitioners, develop new collaborations to test out your research results.
Agenda and Speakers
01. Tim Kraska, Professor @ MIT and CEO of Einblick
Welcome and Kick-Off
9:00am - 9:10am
02. Ben Lorica, Principal at Gradient Flow
9:10am - 9:40am
03. Detlef Nauck, Head of AI & Data Science Research @ BT
Test-Driven Data Science
9:40am - 10:00am
Break
Coffee Break
10:00am - 10:25am
04. Stefan Langenbach, Senior Machine Learning Engineer @ Covestro
Lessons learned advancing data literacy in the chemical industry
10:25am - 10:45am
05. Natalie Morse, Sr. Data Scientist @ Torqata
The Citizen in Citizen Data Science: How we really engage
10:50am - 11:10am
06. Philipp Eichmann, Co-Founder and CXO of Einblick
A Collaborative Approach to Analytics
11:15am - 11:45am
Break
Lunch
12:15pm - 1:30pm
08. Michel Tricot, Co-Founder and CEO of Airbyte
The New Modern Data Stack Powered by Open Source
1:30pm - 2:00pm
09. Ben Ainscough, Head of AI and Data Science @ Domo
How knowledge silos delay data science progress: The secret to maximizing your impact
No video available
2:00pm - 2:30pm
10. Anthony Deighton, Chief Product Officer @ Tamr
Keynote 2: Dashboards Are Dead: How the Viz Mafia Has Lead Decisionmakers Astray
2:30pm - 3:00pm
Break
Coffee Break
3:00pm - 3:20pm
11. Arvind Satyanarayan, Associate Professor @ MIT
Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online
3:20pm - 3:40pm
12. Mike Cafarella, Principal Research Scientist @ MIT
Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration
3:45pm - 4:05pm
13. Eugene Wu, Associate Professor @ Columbia University
Systems for Human Data Interaction
4:10pm - 4:30pm
14. Anhai Doan, Professor @ University of Wisconsin and VP of Tech at Informatica
Making Data Integration More Accessible for Citizen Data Scientists
4;35pm - 4:55pm
