07
Jul
2015

For better or worse, Wikipedia is now one of the world's foremost resources for information on everything from string theory to obscure Star Wars characters. The general public and -- even if they won't admit it -- many scholars use Wikipedia as a first-order reference on unfamiliar scientific subjects, before diving more deeply into the primary sources. But doing so places faith in the hands of the Wikipedia community, trusting that a page's editors have drawn upon the best scientific evidence in summarizing the topic for a more general audience.

30
Jun
2015

Since the first personal computer was developed 40 years ago, computational technology has dramatically changed human society. Unsurprisingly, this massive impact is also reflected in laws around the world, which struggle to keep pace with the mercurial advances of computers, smartphones, the internet, ebooks, and more. Starting on Monday, July 13, Randy Picker, professor at the University of Chicago Law School and Computation Institute Senior Fellow, will address these issues via his new Coursera course, “Internet Giants: The Law and Economics of Media Platforms.”

24
Jun
2015

The CI’s 2014-15 Inside the Discovery Cloud speaker series focused on collaboration, presenting pairs of speakers who are working together to unlock new knowledge through computation. Attendees heard about how new computational approaches are changing medicine, biology, social science, public policy, and more, and discover opportunities for new collaborations and student research projects. View the videos of these stimulating talks.

19
Jun
2015

More and more scientists are focusing their attention on how climate change will affect crop yield, farming practices, and food security for the world, and the massive implications for economics and health. Research on these important topics by Joshua Elliott of RDCEP is heavily featured in “Climate Change and Food Systems,” a new, free-to-download book published by the Food and Agriculture Organization (FAO) of the United Nations.

18
Jun
2015

Reducing infant mortality, improving graduation rates for high school and first-generation college students, preventing home abandonment, and identifying legislative plagiarism are just some of the project goals for the 2015 Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship. For fourteen weeks, 42 fellows in Chicago will work with nonprofit and government partners on these and other important problems, applying data mining, machine learning, statistical, and social science techniques to craft novel and useful solutions.
 

12
Jun
2015

The web of science seems to be immeasurably large, with researchers around the world churning out papers in hundreds of different fields. So when scholars try to describe and explain how scientists weave new threads into the fabric of knowledge, they typically stick to very small patches . But in a massive new analysis of nearly 20 million biomedical journal articles, Knowledge Lab researchers constructed the most complete picture yet of the network of biomedical science -- and in doing so, found that it was surprisingly compact.

04
Jun
2015

Andrey Rzhetsky, professor of medicine and human genetics, isn’t a computer scientist by trade. But the messy complexity of biomedicine is a problem that fairly cries out for analysis by computation. It was also the perfect springboard for him to discuss the overarching theme in his work in his talk for the Visualization Speaker Series, “Adventures in Analysis of Large Biomedical Datasets”: getting data for complex networks, combining data sets, and drawing from them some “non-obvious conclusions.”

28
May
2015

This week, the Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship kicked off its third year, welcoming 42 fellows to Chicago for 14 weeks of intense learning and collaboration. This year's class is especially diverse, with 23 men and 19 women from 14 countries, and an even division of computer scientists, statisticians, and experts from social sciences, public policy, and other fields.

26
May
2015

Text mining is often discussed in the context of humanities research or marketing, where an enormous pool of text can be computationally sifted for new insight or targeted advertising. But text mining is also gaining a foothold in biology and medicine, as researchers increasingly realize that the millions upon milions of journal articles published in these fields may hold previously undiscovered insights for understanding and treating disease.

22
May
2015

When DJ Patil called data scientist “the sexiest job of the 21st century” in 2012, it caused quite a stir…in part because very few people at the time knew what “data science” actually meant. Despite detractors who claimed “all science is data science!” or joked that data science was just “statistics on a MacBook,” the term has picked up steam, from universities to corporations to government (where Patil was recently named Chief Data Scientist of the U.S. Office of Science and Technology Policy).