Research Buffet
Monday, August 29, 2011
3147 MEB
Refreshments 3:40 p.m.
Lecture 4:00 p.m.
Jeff Phillips
Assistant Professor
Title: Accounting for Error in Large Data Sets
Monday, August 29, 2011
3147 MEB
Refreshments 3:40 p.m.
Lecture 4:00 p.m.
Jeff Phillips
Assistant Professor
Title: Accounting for Error in Large Data Sets
Abstract
Due to the presence of enormous corpuses of data sets, the dominant scientific paradigm is changing from a hypothesis-driven collection of data to a data-mining-driven exploration of data. However, as data sets continue to grow, two fundamental challenges arise:
1. How do you summarize an enormous data corpus to a size manageable for deeper analysis?
2. How do you bound the error inherent in the data or introduced in the summarization phase?
I will provide fundamental techniques and analysis tools to deal with both of these questions, focusing in this talk on the broad class of data sets that can be interpreted as distributions. Specifically, in this talk I will focus on how to build a variety of distributions for statistics on uncertain data.
Miriah Meyer
Assistant Professor
Title: Visualizing Biological Data
Due to the presence of enormous corpuses of data sets, the dominant scientific paradigm is changing from a hypothesis-driven collection of data to a data-mining-driven exploration of data. However, as data sets continue to grow, two fundamental challenges arise:
1. How do you summarize an enormous data corpus to a size manageable for deeper analysis?
2. How do you bound the error inherent in the data or introduced in the summarization phase?
I will provide fundamental techniques and analysis tools to deal with both of these questions, focusing in this talk on the broad class of data sets that can be interpreted as distributions. Specifically, in this talk I will focus on how to build a variety of distributions for statistics on uncertain data.
Miriah Meyer
Assistant Professor
Title: Visualizing Biological Data
Abstract
Visualization tools are essential for deriving meaning from the avalanche of data we are generating today. To facilitate an understanding of the complex relationships embedded in this data, visualization research leverages the power of the human perceptual and cognitive systems, encoding meaning through images and enabling exploration through human-computer interactions. In my research I design visualization systems that support exploratory, complex data analysis tasks by biologists who are analyzing large amounts of heterogeneous data. These systems allow users to validate their computational models, to understand their underlying data in detail, and to develop new hypotheses and insights. My research process includes five distinct stages, from targeting a specific group of domain experts and their scientific goals through validating the efficacy of the visualization system. In this talk I'll describe a user-centered, methodological approach to designing and developing visualization tools. I will also present a case study from a collaboration with a lab of systems biologists to illustrate this approach, as well as generalizations that arise from working on focused, visualization projects.
Visualization tools are essential for deriving meaning from the avalanche of data we are generating today. To facilitate an understanding of the complex relationships embedded in this data, visualization research leverages the power of the human perceptual and cognitive systems, encoding meaning through images and enabling exploration through human-computer interactions. In my research I design visualization systems that support exploratory, complex data analysis tasks by biologists who are analyzing large amounts of heterogeneous data. These systems allow users to validate their computational models, to understand their underlying data in detail, and to develop new hypotheses and insights. My research process includes five distinct stages, from targeting a specific group of domain experts and their scientific goals through validating the efficacy of the visualization system. In this talk I'll describe a user-centered, methodological approach to designing and developing visualization tools. I will also present a case study from a collaboration with a lab of systems biologists to illustrate this approach, as well as generalizations that arise from working on focused, visualization projects.