Friday, March 4, 2016 | 9:00 AM - 6:00 PM
Early registration is strongly encouraged as the 2015 Symposium sold out well in advance.
Keynote Speakers: Sébastien Bubeck (Microsoft Research), Alex Graves (Google Research), Alexander Rakhlin (University of Pennsylvania), Ambuj Tewari (University of Michigan)
This symposium features keynote speakers in applied and theoretical machine learning as well as "spotlight" talks selected from poster abstract submissions.
February 5 - 6, 2016
This is an event that will teach graduate students and postdocs basic computer programming techniques that will help them automate repetitive tasks and data analysis in the lab.
January 7 - 8, 2016
Assess the state-of-the-art in data analytics, related challenges, and proposed solutions to accelerate progress for "Big Data" technology within the fields of neuroscience, cancer, and cardiovascular disease.
September 30 - October 1, 2015
Keynote Speakers: Ian Ferguson (ARM), Christian Stammel (Wearable Technologies AG)
Continuous health monitoring using wearable sensors, mobile devices, and apps is becoming a powerful tool for assessing critical physiological parameters. The vast accumulation of real-time biometric data obtained from these technologies may hold invaluable clues for treating some of the most devastating human diseases.
Thursday, June 18, 2015 | 8:00 AM - 5:30 PM
Keynote Speaker: Steve Kay (University of Southern California)
Quantitative Biology: From Molecules to Man will bring together professionals in science, medicine, and engineering to articulate a vision for the future of improving patient health outcomes.
Organizers: Glen de Vries (Medidata Solutions), John J. Mastrototaro (Medtronic), Bernard Munos (FasterCures), Fiorenzo Omenetto (Tufts University), Leonard Sacks (U.S. Food and Drug Administration), Melanie Brickman Stynes (The New York Academy of Sciences), Brooke Grindlinger (The New York Academy of Sciences), and Daniel Radiloff (The New York Academy of Sciences)
This eBriefing considers the use of data from wearable sensors and mobile devices in medical care and clinical trials and looks at security and regulatory issues for health data.
Edited by Annals of the New York Academy of Sciences
This Annals volume presents a collection of papers stemming from two conferences: (1) Evolutionary Dynamics and Information Hierarchies in Biological Systems: Aspen Center for Physics workshop; and (2) Cracking the Neural Code: Third Annual Aspen Brain Forum.
Organizers: Johanne Morne (New York State Department of Health AIDS Institute), Sonja Noring (New York State Department of Health AIDS Institute), Cheryl Smith (New York State Department of Health AIDS Institute), AIDS Institute Social Media Workgroup (New York State Department of Health AIDS Institute), Brooke Grindlinger (The New York Academy of Sciences), and Kerstin Hofmeyer (The New York Academy of Sciences)
This eBriefing looks at the impact of digital technologies on clinical care, especially for HIV and other sexually transmitted infections, exploring eHealth strategies for patient-centered care and clinical decision support.
Speakers: Chris Garvin (Terrapin Bright Green), Cliff Majersik (Institute for Market Transformation), and Chris Pyke (U.S. Green Building Council)
There is an increasing focus on policy, standards, and interoperability of building data. Without the proper tools, the virtual tsunami of building data can overwhelm potential users. This eBriefing focuses on refining the data stream to drive green building innovation.