Workshop Overview ✥
The annual Northeast Big Data Innovation Hub Workshop was held at Columbia University on February 24th, 2017. Academic and Industry professionals from the 6 spokes (health, energy, cities & regions, finance, big data, discovery), spoke about progress on current cross-sector hub initiatives and cross-hub collaboration.
Speaker Highlights ✥
The workshop lightning talks addressed current initiatives, challenges, and upcoming events:
Chirag Patel, from Harvard Medical School, addressed finding a way to link disease and environmental data via exposome data warehouse and OHDSI.
Carsten Binnig, from Brown University, spoke about creating a data sharing platform with built-in licensing agreements to facilitate easier/safer data sharing between industry and academia, building on top of MIT’s pre-existing data sharing technology. This work is part of the larger project I'm on with the Metadata Research Center, Drexel University, and the Northeast Big Data Innovation Hub Data Sharing spoke. Our last workshop was held at Drexel University on September 29-30th, 2016. The workshop slides and final report are available on the Metadata Research Center website. The next data sharing workshop will be in Fall 2017.
Beverly Woolf, from the University of Massachusetts Amherst, discussed creating personalized education based on predictive models, helping to create more effective training approaches via adaptive technologies.
Rebecca Wright, from Rutgers University,focused on area-specific privacy and security concerns related to data and integrating solutions into technology, and mentioned two forthcoming related workshops (April 24-25 and Fall 2017).
Next, we heard from Penn State's John Yen, who addressed the current lack of existing resources for sharing near real-time cyber threat information within the trusted community. The next related workshop will be on Nov 11th, featuring stakeholders from Penn state, Rutgers, Dartmouth, and Columbia.
Stephen Uzzo, from the New York Hall of Science, addressed approaches toward data literacy: we are collecting more data than we have the capability to analyze—there is currently not enough academic training to help close the big data divide.
In an announcement by Microsoft, Vani Mandava spoke about cloud-based solutions can help to connect partnering hospitals for patient risk-admission predictive analysis.
Breakout sessions highlighted common themes of algorithmic bias, data sharing, privacy/security, and scale of focus e.g., hyperlocal.