by Kirk Goldsberry, Harvard Business Review, September 30, 2013
In its 375 years, Harvard has only ever eliminated one entire academic program. If you had to guess, what program do you think that was and when was it killed off? The answer: Harvard eradicated its Geography Department in the 1940s, and many universities followed suit. … As I look out on the world of data visualization, I see a lot of reinventing of the wheel precisely because so many young, talented visualizers lack geographical training. … Which brings us back to the sheer lack of geographical training available.”
To read this thoughtful and timely essay, visit: http://blogs.hbr.org/2013/09/teaching-and-learning-visualiz/
- The Importance of Spatial Thinking Now (blogs.hbr.org)
By Catherine Bracy, Director of International Programs at Code for America, December 31, 2012
…But even if they were politically savvy, the issues the technology industry would be pushing are a different set of interests than consumers (and by that I mean citizens) are concerned with. Which brings me to the second part of what I meant: those who have outsized power and influence through network technology to make their voices heard often put it to use in the most inane and self-centered ways. There was lots of talk after the Internet beat back SOPA and PIPA about the potential for networked models of citizen participation that actually WORKED. The so-far failed opportunity to realize that potential has been starkly revealed in the last few weeks: the tech-savvy in an uproar over Instagram’s terms of service while at the same time sitting idly by as FISA gets reauthorized, and staring helplessly from the sidelines as Congress bungles the fiscal cliff. …
For full text of this op-ed, please visit Silicon Valley’s Problem | BraceLand.
- BraceLand | Silicon Valley’s Problem (cbracy.tumblr.com)
by Jose M. Alonso, World Wide Web Foundation Blog, May 24, 2012The Web Foundation is happy to share a report on the outcomes of a recent meeting of Open Government Data practitioners that took place in Brasilia on April 26th of this year. Given the increasing interest in Open Data programs around the globe, and the expectations of their implementation, the need for a critical measurement of outcomes and empirical evidence to support such measurement has become ever more important. The Web Foundation has recently begun this work by partnering with the International Development Research Center and the Berkman Center at Harvard University to host the first convening of Open Data Research (South), a gathering of 20 renowned policy-oriented academics from around the globe and representing diverse areas of expertise to develop a research agenda and network to facilitate impact measurement of Open Government Data in the Global South and developing world.Attendees worked to develop a research agenda to ensure that Open Government Data programs in the Global South meet several key outcomes, namely: that they foster greater openness, support citizens’ rights, and remain inclusive of the citizenry. Key issues of exploration included Open Data’s potential to challenge democratic deficits, create economic value and foster greater inclusion, particularly in the developing world. Full details of each day’s agenda and outcomes can be found in the full report. This is part of an ongoing process; a blog to take forward ideas from the workshop has been also opened.
For a copy of this report, visit Measuring Open Government Data.
In an edited excerpt from his new book, Too Big to Know, David Weinberger explains how the massive amounts of data necessary to deal with complex phenomena exceed any single brain’s ability to grasp, yet networked science rolls on.
… Now there is a literally immeasurable, continuous stream of climate data from satellites circling the earth, buoys bobbing in the ocean, and Wi-Fi-enabled sensors in the rain forest. … All this data and much, much more became worth recording once we could record it, once we could process it with computers, and once we could connect the data streams and the data processors with a network. How will we ever make sense of scientific topics that are too big to know? …
For full text of the article, visit To Know, but Not Understand: David Weinberger on Science and Big Data – Atlantic Mobile.
- Media transformation – David Weinberger: facts have been replaced by networked facts (nextlevelofnews.com)
- How the Internet is Destroying Everything (bits.blogs.nytimes.com)
- Keen On… David Weinberger: Too Big To Know (TCTV) (techcrunch.com)