Democratizing Data Tracy Teal (The Carpentries)

Disease Prediction Using the World's Largest Clinical Lab Dataset Cristian Capdevila (Prognos)

The Reporter's Notebook - Mark Hansen (Columbia Journalism School)

Why Contribute to Open Source? - Julia Meinweld (Two Sigma Investments)

Beyond Interactive: Scaling Impact with Notebooks at Netflix - Michelle Ufford (Netflix)

Binder: Lowering the bar to sharing interactive software- Tim Head (Wild Tree Tech)

Business Summit roundtable: The current environment

Canadians land on Jupyter - Ian Allison, James Colliander

Charles Smith (Netflix) interviewed at JupyterCon NY 2018

Containerizing notebooks for serverless execution (sponsored by AWS)

Current RISE capabilities and its evolution into the future- Damián Avila (Anaconda, Inc.)

Dan Mbanga (AWS) interviewed at JupyterCon NY 2018

Data Science as a Catalyst for Scientific Discovery Michelle Gill, Ph.D. (BenevolentAI)

Data science in US and Canadian higher education- Laura Noren (Obsidian Security)

Designing for interaction- Scott Sanderson (Quantopian)

Enterprise usage of Jupyter: The business case and best practices for leveraging open source

Explorations in reproducible analysis with Nodebook- Kevin Zielnicki (Stitch Fix)

Flipped learning with Jupyter: Experiences, best practices, and supporting research

GenePattern Notebook: Jupyter beyond the programmer

Going native: C++ as a first-class citizen of the Jupyter ecosystem

How JupyterLab and widgets enable interactive analysis of the Earth's past, present, and future

I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)

"If the data will not come to the astronomer. . ." - Adam Thornton (LSST)

Jupyter for every high schooler- Rob Newton (Trinity School)

Jupyter & Gravitational Waves - Will Farr (Stony Brook University)

Jupyter in the Enterprise - Luciano Resende (IBM Watson)

Jupyter Notebooks and the Intersection of Data Science - David Schaaf (Capital One)

Jupyter, sensitive data, and public policy- Julia Lane

Jupyter Trends in 2018 - Paco Nathan (derwen.ai)

Jupyter widgets- Maarten Breddels (Maarten Breddels), Sylvain Corlay (QuantStack)

JupyterLab and Plotly: A data visualization power couple- Lindsay Richman (McKinsey & Co.)

JupyterLab- Ian Rose (UC Berkeley), Chris Colbert (Project Jupyter)

Jupyter's configuration system

Keynote by Dan Romuald Mbanga (Amazon Web Services)

Learn by doing: Using data-driven stories and visualizations in the classroom

Making beautiful objects with Jupyter- M Pacer (Netflix)

nbinteract: Shareable interactive web pages from notebooks

Notebooks at Netflix: From analytics to engineering- Michelle Ufford (Netflix)

Open source software and the allocation of capital- Matt Greenwood (Two Sigma Investments)

Paul Ivanov (Bloomberg) interviewed at JupyterCon NY 2018

PayPal Notebooks: Data science and machine learning at scale, powered by Jupyter

Real-time collaboration with Jupyter notebooks using CoCalc- William Stein (SageMath, Inc)

Reproducible data dependencies for Jupyter - Jackson Brown, Aneesh Karve

Reproducible education: What teaching can learn from open science practices

Reproducible quantum chemistry in JupyterLab - Chris Harris (Kitware)

Reproducible science with the Renku platform- Sandra Savchenko-de Jong (Swiss Data Science Center)

Scaling collaborative data science with Globus and Jupyter - Ian Foster

Scaling notebooks for deep learning workloads - Luciano Resende (IBM Watson)

Scheduled notebooks: A means for manageable and traceable code execution- Matthew Seal (Netflix)

SoS: A polyglot notebook and workflow system...- Bo Peng (The University of Texas)

Supporting reproducibility in Jupyter through dataflow notebooks

Sustaining Wonder: Jupyter and the Knowledge Commons - Carol Willing (Cal Poly San Luis Obispo)

SWAN: CERN's Jupyter-based interactive data analysis service - Diogo Castro (CERN)

Terraforming Jupyter: Changing JupyterLab to suit your needs

The Emacs Ipython Notebook- John Miller (Honeywell UOP)

The Future of Data-driven Discovery in the Cloud - Ryan Abernathey (Columbia University)

The journey to Julia 1.0: The "Ju" in Jupyter

The Jupyter Notebook as a transparent way to document machine learning model development

The reincarnation of a notebook- Tony Fast (Ronin), Nick Bollweg (Georgia Tech Research Institute)

Using Jupyter notebooks in highly regulated environments

Using Jupyter to Empower Enterprise Analysts - Dave Stuart (Department of Defense)

Using the MapD kernel for the Jupyter Notebook- Randy Zwitch (MapD)

Visualizing high-dimensional biological data with Clustergrammer-Widget in the Jupyter Notebook

Visualizing machine learning models in the Jupyter Notebook- Chakri Cherukuri (Bloomberg LP)

What things are correlated with gender diversity: A dig through the ASF and Jupyter projects

When Jupyter Becomes Pervasive at a University? Fernando Perez (UC Berkeley)