Lecture | October 17 | 4:10-5:30 p.m. | 202 South Hall
Despite great strides in the generation, collection, and processing of data at scale, data science is still extremely inconvenient for the vast majority of the population. The driving goal of our research is to make it easy for individuals and teams â regardless of programming or analysis expertise â manage, analyze, make sense of, and draw insights from large datasets.
In my talk, I will describe a comprehensive suite of tools that weâve been building to empower everyone to perform data science more efficiently and effortlessly, including DataSpread, a âbig dataâ spreadsheet tool that combines the benefits of spreadsheets and databases, and Zenvisage, a visual exploration tool that accelerates the discovery of trends or patterns. Our tools have been developed in collaboration with experts in neuroscience, battery science, genomics, astrophysics, marketing analytics, and ad analytics.
I will discuss some of the key technical challenges underlying the development of these tools, and how we addressed them, drawing from ideas in multiple disciplines. I will finally outline a future research agenda for tool development to empower everyone to tap into the hidden potential in their datasets at scale.Â