Praxis of Reproducible Computational and Data Science
Limits and opportunities in algorithmic fairness
Even a Moon Shot Needs a Flight Plan: Genetics and Ethics in the Obama Administration
Dr. Paul Ardis, Research Mission Leader at GE Global Research
Analytics are opening up new possibilities in the aviation sector as we think beyond the airplane during flight. Putting together GE’s expertise in AI for manufacturing and service with airline passenger analytics and intelligent supply chains, we are working towards a future where efficiency and agility is realized to maximize efficiency and minimize disruption.
The Data Science Institute of Columbia University's mission is to advance the state-of-the-art in data science; to transform all fields, professions, and sectors through the application of data science; and to ensure the responsible use of data fo
Ron Daniel, Jessica Cox, Corey Harper
Most of the experimental results reported in scientific articles, and recorded in databases or in supplements to the article, are provided in tables. Unfortunately, the amazing recent progress in natural language understanding is of little help if we want to automatically understand those tables. Tables are, after all, not your grandmother’s natural language. Despite this, we believe significant progress can be made towards the goal of combining tables of related information into larger sets that can be analyzed, visualized, understood, and used as the basis for decisions. Elsevier Labs is prototyping tools to help guide people in the exploration of tables from many articles and the extraction and merging of the data they contain. This talk will show examples of what has been accomplished by manually merging such data. With those as examples of the desired outcomes, we will describe our experiments to duplicate such examples, the work flow in which they operate, and our most recent results.
Hosted by the Data Science Institute at Columbia University
In our data-rich world, we in the technology community have a responsibility to ensure that we use data for good.