Effortless Exploration with Zenvisage 0.2

This blog post describes our new software release for Zenvisage. Blog post written by Doris Lee and Tarique Siddiqui, edited by Karrie Karahalios and me. Contributors to this release (in alphabetical order) include: Jaywoo Kim, Doris Lee, John Lee, Tarique…

Aditya Parameswaran in Data People

Oct 28, 2017

Enabling Data Science for the Majority

How human-in-the-loop data analytics is accelerating the…

Aditya Parameswaran in Data People

Sep 5, 2017

Painless Data Versioning for Collaborative Data Science

A Bolt-On Approach to Relational Data Versioning

We describe our VLDB’17 paper on OrpheusDB, a bolt-on approach to support versioning capabilities on large datasets. More…

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Aditya Parameswaran in Data People

Sep 1, 2017

Towards Automating Insight

An E³ — Expressive, Efficient, and Effortless — Visual Data Exploration…

Aditya Parameswaran in Data People

Jan 9, 2017

Three Tools for Human-in-the-loop Data Analytics: Public Software Releases

We’re starting this year on a very good note: not one, but three of our key interactive (or “human-in-the-loop”) data analytics tools are moving from private betas with a few interested parties, to…

Aditya Parameswaran in Data People

Jul 2, 2016

Revisiting Quality Management for Crowdsourcing: A Fresh Take

This is a short blog post highlighting the findings of our SIGMOD’16 paper, code (as-is, here be dragons, etc.) here. Other crowdsourcing projects, data, and code can be found here. This work is funded by the NIH, NSF, and…

Aditya Parameswaran in Data People

Jan 28, 2016

Data Scavengers, not Research Parasites

If you haven’t already read the editorial on “data sharing” published in the New England Journal of Medicine (NEJM), January 21st issue, do it. Do it now.

At first blush, I dismissed the editorial, without realizing how big of a deal…

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