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