2016 Data Science Summit

2016 Data Science Summit

Wednesday October 26, 11:30 am - 9:30 pm

What: A one-day summit to bring together practitioners, funders, and institutions interested in supporting academic data science.

Who’s attending: This event is by invitation only, hosted by the Data Science Environments Partnership. An up-to-date list of confirmed attendees is available here. Attendees are data science grantees from the Moore Foundation and Sloan Foundation, as well as other funders, organizations, and institutions interested in academic data science.

Location: Rosenthal Pavilion, 60 Washington Sq S, 10th Floor, New York NY 10012 (Event will run from 11:30 - 6:00; Rooftop reception following at 230 5th - 21+ only)

Agenda

Time Title Details
11:30 Catered lunch  
13:00 Opening remarks: Dr. Katherine Fleming, NYU Provost  
13:10 Overview of MSDSE by Chris Mentzel (Moore) & Josh Greenberg (Sloan) slides
13:35 DSE Highlights from MSDSE Leadership  
  Bill Howe, UW slides
  Juliana Freire, NYU slides
  David Culler & Cathryn Carson, UC Berkeley slides
13:50 Panel Discussion: Data Science Careers, moderated by Carly Strasser  
  Jennifer Chayes, Microsoft Research  
  Simon Hettrick, SSI  
  Ed Lazowska, UW  
  Laura Noren, NYU  
  Lauren Ponisio, UC Berkeley  
  Karthik Ram, UC Berkeley  
14:35 Lightning talks & poster/demo viewing Full list below
  LT1. Jake VanderPlas: Altair: Declarative Statistical Visualization in Python slides
  LT2. Holly Bik: Phinch: An interactive, exploratory data visualization framework for -Omic datasets slides
  LT3. Nick Adams: AI Requires Social Scientists and Crowds  
15:45 Keynote: Democratizing data skills to advance data-driven-discovery.Tracy Teal, Executive Director of Data Carpentry slides
16:05 Lightning talks & poster/demo viewing Full list below
  LT4. Fernando Chirigati: Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets slides
  LT5. Alyssa Goodman: Linked-View Visualization of High-Dimensional Data in glue slides: keynote (large file) or pdf
  LT6. Mario Juric: The Large Synoptic Survey Telescope: Ushering the Age of Data-driven Astronomy  
  LT7. Kerstin Kleese van Dam: Streaming Data Analysis for Highly Correlated Events slides
17:30 Keynote: DeepDive and Snorkel: Dark Data Systems to Answer Macroscopic Questions. Chris Ré, Stanford University  
17:50 Closing remarks by Juliana Freire, NYU  
18:00 Travel to reception location  
19:00 Reception with drinks and hors d’oeuvres at 230 5th  

Code of Conduct

Please review the Summit Code of Conduct.

Posters and demos

Demos

Name Title
Rahul Biswas TWINKLES
Yamuna Kirshnamurthy & Sonia Castelo Domain Discovery on the Web
Jason Grout JupyterLab: The Next Generation of Jupyter
Joe Hand Data Publishing & Persistence with Decentralized Tools
Joseph Hellerstein Reinventing spreadsheets for scientists
Siu Kwan Lam Accelerate Scientific Python Code with Numba
Brett Naul Cesium: Open-Source Platform for Time-Series Inference
Remi Rampin Preserving and Reproducing Research with ReproZip
Matthew Rocklin Visualizing Interactive computations with Dask
Lenny Teytelman Capturing the knowledge that perishes because we do not publish it.

Posters

Name Title
Nabeel Abdur Rehman Using High-resolution Data to Understand Local Disease Transmission Patterns
Rebecca Barter Superheat: an R package
C. Titus Brown Advanced training and collaboration hackathons
Fernando Chirigati Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets
Chihoko Cullens Data Science Demands in Academic Job Advertisements
Casey Greene Reproducible computational science. Automatically.
Andrew Guess Media Choice and Moderation: Evidence from Online Tracking Data
Todd Gureckis Using computational cognitive neuroscience to enhance adaptive instruction technologies
Robert Haines Same but different. Careers in data science and research software engineering
Daniel Himmelstein Hetionet
Chris Holdgraf Neural encoding models to study the brain’s response to natural speech
Felipe Horta Urban Canyons Framework
Carl Kingsford The Goal of an Automated Algorithm Designer
Laurel Larsen Space in the informationscape
Roy Lederman A Representation Theory Perspective on Simultaneous Alignment and Classification with Applications in Cryo-EM
Kathleen McKeown Predicting Salient Updates for Disaster Summarization
Xiaofeng Meng Systematic detection of seismic events at Mount St. Helens with an ultra-dense array
Heiko Mueller Vizier: The Exception that Improves the Rule
Bob Nadeau Percentile Methods for Finding Earth’s Tremors
Jorge Ono Data Sciences for Baseball Analytics
Johnpierre Paglione High-throughput Materials Discovery Driven by Active Learning
Remi Rampin ReproZip: Reproducibility Made Easy
Alexander Ratner Snorkel: Lightweight Information Extraction Using Data Programming
Kim Reynolds Evolutionary statistics and the organization of complex biological systems
Matthew Salganik Changing Publishing Bit by Bit: Introducing the Open Review Toolkit
Jacob Schreiber Pomegranate
Alexandra Siegel Socially Mediated Sectarianism: Violence, Elites, and Anti-Shia Hostility in Saudi Arabia
Micaela Parker and Sarah Stone eScience Institute Data Science for Social Good program
Mollie Van Gordon Self-Organizing Mapping: Recognizing rainfall patterns in the Sahel
Gao Wang Dynamic statistical comparisons made simple
Nancy Wang Multimodal Neural Decoding
Greg Way The Research Parasite Awards
Jamie Whitacre Jupyter
Ethan White The Data Retriever: A package manager for other peoples data
Eleni Zacharatou Data Management Challenges in Brain Simulations

More info on posters & demos

Both posters and demos will be available during the “Lightning talks & posters/demos” sessions. The format of these sessions is a 5 minute lightning talk, followed by 15 minutes of unstructured time for attendees to view posters and demos.

Posters: suggested size is 30” tall by 40” wide. There will be easels with foam backing boards for displaying posters in the hall.

Demos: There will be tall tables set up close to outlets. You are responsible for providing the computer/other equipment needed. Tables will be located around the perimeter of the room.

Image from flickr by Daniel Mennerich