Workshop Schedule for Winter 2021
Information, Updates, and Upcoming Events
Nightingale Open Science will host a full-day workshop at NeurIPS on December 14, 2021 from 10am - 5:10pm Eastern Standard Time. Detailed information on research submissions can be found on our Call for Participation:Call for Participation
- Kate Baicker, Dean and Emmett Dedmon Professor, Chicago Harris School of Public Policy
- Regina Barzilay, Distinguished Professor for AI and Health, EECS, MIT
- Jennifer Chayes, Associate Provost, Computing, Data Science, and Society, UC Berkeley
- Aneesh Chopra, President of CareJourney, first U.S. Chief Technology Officer
- Marzyeh Ghassemi, Assistant Professor, EECS and IMES, MIT
- Judy Gichoya, Assistant Professor of Radiology and Imaging, Emory
- Matt Lungren, Director of the Stanford Center for Artificial Intelligence in Medicine & Imaging
- Emma Pierson, Assistant Professor of Computer Science, Jacobs Technion-Cornell Institute at Cornell Tech
- Elaine Nsoesie, Assistant Professor, Boston University School of Public Health
- Ari Robiczek, Chief Medical Analytics Officer, Providence St. Joseph Health
- Eric Schmidt, accomplished technologist, entrepreneur and philanthropist
- Eric Topol, Professor, Founder and Director of the Scripps Research Translational Institute
Morning Program: New Datasets, New Research Questions 10am - 1:45pm
10am - 10:15: Welcome and Opening Remarks: Eric Schmidt
10:15 - 10:20: Transition break
10:20 - 11:00 Panel 1: What are “meaningful” ML datasets and the opportunities and challenges in creating them?
- Panelists: Judy Gichoya, Ari Robiscek, Matt Lungren
- Description: This panel will explore the challenges and opportunities of finding and building meaningful datasets within health systems through concrete examples, leveraging the panelists' experiences.
11:00 - 11:05: Transition break
11:05 - 12:00: Spotlight talks: new datasets and research finalists
- Description: Talks will feature new datasets and selected research submissions. Features may include electrocardiogram waveform (ECG) dataset for heart attack prediction and prediction of sudden cardiac death, and a dataset of breast cancer biopsy slides for insight into the cancer staging process.
12:00 - 12:30: Lunch
Afternoon Program: How Academia, Government, Health Systems, and Funders Can Help 12:30 5:10pm
12:30 - 1:00 Panel 2: A conversation around medical mysteries, featuring Kevin Volpp & Eric Topol
- Panelists: Eric Topol, Kevin Volpp
- Description: Through a moderated conversation, panlists Eric Topol and Kevin Volpp will explore the biggest barriers to meaningful research for medical unknowns that we still face, and what can help.
1:00 - 1:05: Transition break
1:05 - 2:00 Panel 3: Data science for healthcare in academia and government
- Panelists: Aneesh Chopra, Jennifer Chayes, Kate Baicker
- Description: This focus of this session will be twofold, leveraging the panelists’ experience: 1) the importance of well-structured data-science programs within academia as a way to ensure a well-trained, robust pipeline of up-and-coming researchers, and provide the data infrastructure necessary to support ground breaking research and 2) examine what can be done at the federal level to encourage better data sharing and research.
2:00 - 2:15 Transition break
2:15 - 3:00 Panel 4: Data Opportunities: unsolved medical problems and where new data can help
- Panelists: Regina Barzilay, Marzyeh Ghassemi, Elaine Nsoesie, Emma Pierson
- Description: This panel will begin by introducing three critical medical issues that drive mortality despite years of research: cancer, sudden cardiac death, and maternal mortality. The moderator will facilitate a group conversation about how the panelists approach working on issues like these in their research, as well as challenges and opportunities in applying new data and ML tools to similar issues in medicine.
3:00 - 3:05: Transition break
3:05 - 3:45: Poster session
3:45 - 3:50: Transition break
3:50 - 4:20 Panel 5: What problems get funded in computational medicine?
- Panelists: Representatives from The Gordon and Betty Moore Foundation, Schmidt Futures, The McGovern Foundation, and the Chan Zuckerberg Initiative.
- Description: This session will be a short panel plus unconference style networking event, featuring key decision makers who choose problems to fund in computational medicine. It will focus on the theme “what gets studied gets funded,” and will discuss how funding decisions are made at the intersection of computer science and medicine today. This session will also feature the announcement of a new funder collaborative to build the future of computational medicine.
4:20 - 4:25: Transition break
4:25 - 4:55 Panel 6: Nightingale data competition invitation & video demo
- Description: This session will announce the launch of a researcher competition inviting research teams to collaborate around a benchmark dataset and research question on the Nightingale OS platform. We will award prizes in different categories: the best solution to our proposed problem, the best novel proposed problem, and the most scalable solution. By rewarding ingenuity, we hope to encourage researchers to think outside the box and beyond the initial research question we have laid out.
4:55 - 5:00: Transition break
5:00 - 5:10: Closing remarks