Data Science

Related Faculty

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Assistant Professor
dbamman@ischool.berkeley.edu
Focus: Natural language processing, computational social science, machine learning, digital humanities
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Assistant Professor
jblumenstock@berkeley.edu
Focus: Development Economics, Data Science, Econometrics, Machine Learning, ICTD
(510) 642-4583
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Associate Professor
coye@ischool.berkeley.edu
Focus: Social exchange, social psychology, social networks and information exchange
(510) 643-6388
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Professor
chuang@ischool.berkeley.edu
Focus: Bio-sensory computing; information economics and policy
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Adjunct Professor
glushko@ischool.berkeley.edu
Focus: Information-intensive systems and services, semantic standards, information policy, business innovation and entrepreneurship
(510) 643-2754
photo John Alexis Guerra Gómez
Lecturer
jguerra@ischool.berkeley.edu
Focus: I'm an Information Visualization researcher, teacher, entrepreneur and dreamer. I do research on Photo Visualization, Network Visualization, Web development and Accessibility. http://johnguerra.co
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Lecturer
rkappedal@ischool.berkeley.edu
Focus: High dimensional data
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Assistant Professor (I School and Graduate School of Education)
zp@ischool.berkeley.edu
Focus: Education data mining, learning analytics, digital learning environments
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Professor (I School and Dept. of Political Science)
stevew@ischool.berkeley.edu
Focus: International politics, international business, and the information economy; Cybersecurity; Behavioral economics within Information Systems
(510) 643-3755

Data Science news

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Position will begin July 2016; applications are due December 14.
David Bamman
Bamman’s work applies natural language processing and machine learning techniques to empirical questions in the humanities and social sciences.
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The dataset could help answer whether it’s possible to accurately use consumer-grade devices to interpret attention level in a problem-solving test. The class hopes that other researchers will be able to repeat the experiment with even larger subject pools.
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Capped by a keynote from Obama adviser John Podesta, a day-long workshop brought together the worlds of government, business, the law, and academia for what assistant professor Deirdre Mulligan called “a frank and honest conversation about our values,” and about how to balance those values with the omnipresent, often invisible collection of data about every aspect of our lives.
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The School of Information has officially started its new online Master of Information and Data Science (MIDS) program, preparing students to solve real-world problems using complex and unstructured data.
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A new student research project analyzes the text of Yelp restaurant reviews to automatically reveal the underlying topics discussed by the reviewers — and predict the rating the restaurant would have received based on each individual topic.
Zach Pardos
Pardos is an expert in the emerging field of educational data mining — applying data science methodologies to online learning environments to understand student learning.