Mahima Pushkarna | UX Designer, People + AI Research
I tend to wear many hats — UI/UX, visual design, strategy and design research — but overall I work on innovative tools and frameworks for understanding machine learning models and interpreting their “decisions.” This creates better human-AI partnerships, such as helping doctors diagnose cancer. You can see some of my design work in the What-If Tool and Facets, and other tools that have been widely used to advance better practices in machine learning. At PAIR, I also get to study the impact of design on AI, and vice versa.
An evolving list of short reads, examples and views on information design, visual design, design and the art of data visualization from all across the web (and medium).
Perception in Visualization, Christopher Healey
Data Portraits, Judith Donath, Alex Dragulescu, Aaron Zinman, Fernanda Viégas, Rebecca Xiong
Cartogram Home, Ian Bortins and Steve Demers under the direction of Dr. Keith Clarke. Note: This website was last updated in 2002.
A Visual Introduction to Machine Learning, Stephanie Yee and Tony Chu; An excellent example of the use of visualizations to explain machine learning by integrating a strong narrative.
PPUA 6302 will introduce you to various concepts in information design and visual analytics over 12 classes. Over the semester, you will attend five lecture classes with in-class exercises and five studio classes where you shall receive feedback on the three projects that you will be working on through the semester. We’ll also have two presentation days, for you to present the final outcomes of your projects to your peers, faculty and possibly, guests.
PPUA 6302 will focus on the…
Updated: January 2019
Designing a software UX is always a challenge, especially when it is a general-purpose tool for enterprise of professional users. New features quickly get added into product systems, and as a result, the interdependencies of features and UX manifold that designers, engineers (and eventually users) must grapple with, grows exponentially. Complexity settles into a thick and dense layer, one that a lot depends on. It is critical that it be unraveled meaningfully and carefully, but it can be like trying to unravel uncooked instant ramen — chances that you will break the product system run high.
My teammate, Yangdong Ye and I have been scouring the internet for multi-dimensional, large datasets that we can use in our advanced visualization technologies class at Northeastern’s IDV program. There are so many datasets available - big, small, dimension rich, binary. Picking one is that meets our criteria is very hard. Here, I present a curated list of five datasets to suit what will hopefully be a range of interests and pursuits.
As a part of my ongoing graduate education, we have monthly workshops with Hugh Dubberly from DDO. As we navigate through so many different theories of communication and design, it’s always a humbling experience to hear about the journeys of senior designers over the years. This month, Nathan Felde joined us for a brief yet immersive hour, narrating his experiences with design. This article is my personal reflection and interpretation of his journey.
To say that one is a designer, is an almost conceited idea. Unlike engineering, there’s no certification as such: the practice of design evolved as a result…
My husband and I decided to take an impromptu trip to New York City last week. We visited New York for lunch and dinner, before returning to Boston. It wasn’t the best weather for sight-seeing, and possibly the coldest it got in Boston, when we returned home. In this intense weather, what is the best way to spend 12 hours?
Between time and temperature, I condensed my original plan of seeing 8 places in 12 hours to 3 places in 12 hours, and prioritized indoor spaces. Since this was our only “vacation” in two semesters, we decided to stay away…
100 participants in 7 cities across the world will deploy DIY environmental sensors that will collect data that measures air quality, noise, pollution, light and temperature. At the end of three months, the data streams will be opened out and that will kickstart the second Data Canvas Visualization Challenge. Recently, I became the host of one of these hundred datacanvas #senseyourcity environmental sensors deployed across the world.
Several of us from Northeastern’s IDV program will be playing hosts to such sensors in Boston, and I simply cannot wait to work with the resulting data. …