- Where Do All The Women Go? — Inclusion of at least one woman among the conveners increased the proportion of female speakers by 72% compared with those convened by men alone.
- The Ultimate Electronics Hobbyists Guide to Shenzhen — by OSCON legend and Kiwi Foo alum, Jon Oxer.
- Bitcoin’s Uncomfortable Similarity to Some Shady Episodes in Financial History (Casey Research) — Bitcoin itself need serious work if it is to find a place in that movement long term. It lacks community governance, certification, accountability, regulatory tension, and insurance—all of which are necessary for a currency to be successful in the long run. (via Jim Stogdill)
Huxley Beat Orwell?, Cloud Keys, Motorola's DARPA, and Internet Archive Credit Union
- Huxley vs Orwell — buy Amusing Ourselves to Death if this rings true. The future is here, it’s just not evenly surveilled. (via rone)
- KeyMe — keys in the cloud. (Digital designs as backups for physical objects)
- Motorola Advanced Technology and Products Group — The philosophy behind Motorola ATAP is to create an organization with the same level of appetite for technology advancement as DARPA, but with a consumer focus. It is a pretty interesting place to be. And they hired the excellent Johnny Chung Lee.
- Internet Credit Union — Internet Archive starts a Credit Union. Can’t wait to see memes on debit cards.
Notable Release, SVG Library, Modular Robot, and Factchecking Politicians Will Not Work
- Quick Reads of Notable New Zealanders — notable for two reasons: (a) CC-NC-BY licensed, and (b) gorgeous gorgeous web design. Not what one normally associates with Government web sites!
- Linkbot: Create with Robots (Kickstarter) — accessible and expandable modular robot. Loaded w/ absolute encoding, accelerometer, rechargeable lithium ion battery and ZigBee. (via IEEE Spectrum)
- The Promise and Peril of Real-Time Corrections to Political Misperceptions (PDF) — paper presenting results of an experiment comparing the effects of real-time corrections to corrections that are presented after a short distractor task. Although real-time corrections are modestly more effective than delayed corrections overall, closer inspection reveals that this is only true among individuals predisposed to reject the false claim. In contrast, individuals whose attitudes are supported by the inaccurate information distrust the source more when corrections are presented in real time, yielding beliefs comparable to those never exposed to a correction. We find no evidence of realtime corrections encouraging counterargument. Strategies for reducing these biases are discussed. So much for the Google Glass bullshit detector transforming politics. (via Vaughan Bell)
Internet Filter Creep, Innovating in E-Mail/Gmail, Connected Devices Business Strategy, and Ecology Recapitulates Photography
- Australian Filter Scope Creep — The Federal Government has confirmed its financial regulator has started requiring Australian Internet service providers to block websites suspected of providing fraudulent financial opportunities, in a move which appears to also open the door for other government agencies to unilaterally block sites they deem questionable in their own portfolios.
- Embedding Actions in Gmail — after years of benign neglect, it’s good to see Gmail worked on again. We’ve said for years that email’s a fertile ground for doing stuff better, and Google seem to have the religion. (see Send Money with Gmail for more).
- What Keeps Me Up at Night (Matt Webb) — Matt’s building a business around connected devices. Here he explains why the category could be owned by any of the big players. In times like this I remember Howard Aiken’s advice: Don’t worry about people stealing your ideas. If it is original you will have to ram it down their throats.
- Image Texture Predicts Avian Density and Species Richness (PLOSone) — Surprisingly and interestingly, remotely sensed vegetation structure measures (i.e., image texture) were often better predictors of avian density and species richness than field-measured vegetation structure, and thus show promise as a valuable tool for mapping habitat quality and characterizing biodiversity across broad areas.
Stephen Goldsmith on the potential of urban predictive data analytics in municipal government.
The last time I spoke with Stephen Goldsmith, he was the Deputy Mayor of New York City, advocating for increased use of “citizensourcing,” where government uses technology tools to tap into the distributed intelligence of residents to understand – and fix – issues around its streets, on its services and even within institutions. In the years since, as a professor at the Ash Center for Democratic Governance and Innovation
at the John F. Kennedy School of Government at Harvard University, the former mayor of Indianapolis has advanced the notion of “preemptive government.”
RFP-EZ is a small step towards making it easier for new businesses to sell to government.
A few years ago, when I was doing the research that led to my work in open government, I had a conversation with Aneesh Chopra, later the first Federal CTO but at the time, the Secretary of Technology for the Commonwealth of Virginia. I remember him telling me about the frustration of being in government, knowing that you could go to someone down the street to build a website in a week, but still having to put the job through procurement, a process taking nine months and resulting in a website costing ten times or more what it could have cost if he’d just been able to hire someone on the open market.
Much of the difficulty stems from stringent legal regulations that make it difficult for companies to compete and do business with government. (Like so many government regulations, these rules were designed with good intentions after scandals involving government officials steering contracts to their friends, but need to be simplified and updated for current circumstances.) The regulations are so complex that often, the people who do business with the federal government are more specialized in understanding that regulation than they are in the technology they’re providing. As a result, there are specialized intermediaries whose sole business is bidding on government jobs, and then subcontracting them to people who can actually do the work.
The problem has been compounded by the fact that many things that were once hard and expensive are now easy and cheap. But government rules make it hard to adopt cutting edge technology.
That’s why I’m excited to see the Small Business Administration launch RFP-EZ as part of the White House’s Presidential Innovation Fellows program. It’s a small step towards getting the door open — towards making it easier for new businesses to sell to government. RFP-EZ simplifies both the process for small companies to bid on government jobs and the process for government officials to post their requests. Hopefully it will increase government’s access to technology, increase competition in the federal space, and lower prices. Read more…
Makers: don't worry about what DARPA will do to you. Think about what you can do to DARPA.
I read this piece in the New York Times the other day and have read it two or three more times since then. It dives into the controversy around DARPA’s involvement in hacker space funding. But frankly, every time I come across this controversy, I’m baffled.
I usually associate this sort of government distrust with Tea Party-led Republicans. The left, and even many of us in the middle, generally have more faith in government institutions. We’re more likely to view government as a tool to implement the collective will of the people. Lots of us figure that government is necessary, or at least useful, to accomplish things that are too big or hairy for any other group of citizens to achieve (in fact, a careful reading of Hayek will show even he thought so – commence comment flame war in 3 ..2 ..1 …).
So, to summarize, the right dislikes big government and typically the left embraces it. At least, right up until the moment the military is involved. Then the right worships big government (largely at the temple of the History Channel) and the left despises it.
Of course, I don’t know anything about the politics of the people criticizing this DARPA funding, just that they are worried that defense money will be a corrupting influence on the maker movement. Which would imply that they think Defense Department values are corrupting. And they might be right to have some concerns. While the U.S. military services are probably the single most competent piece of our entire government, the defense industrial complex that equips them is pretty damned awful. It’s inefficient, spends more time on political than actual engineering, and is where most of the world’s bad suits go to get rumpled. And there is no doubt that money is a vector along which culture and values will readily travel, so I suppose it’s reasonable to fear that the maker movement could be changed by it.
But what everyone seems to be missing is that this isn’t a one-way process and the military, via DARPA, is essentially saying “we want to absorb not just your technology but the culture of openness by which you create it.” That’s an amazing opportunity and shouldn’t be ignored. The money is one vector, but the interactions, magical projects, and collaboration are another, perhaps more powerful vector, along which the values of the maker movement can be swabbed directly into one of the most influential elements of our society. This is opportunity! Read more…
A few early and broad questions in our exploration of NYC's startup community.
Since the crisis of 2008 New York City’s massive financial sector — the city’s richest economic engine, once seen to have unlimited potential for growth — has languished. In the meantime, attention has turned to its nascent startup sector, home to Foursquare, Tumblr, 10gen, Etsy and Gilt, where VC investment has surged even as it’s been flat in other big U.S. tech centers (PDF).
I’ve started to poke around the tech community here with a view toward eventually publishing a paper on the rise of New York’s startup scene. In my initial conversations, I’ve come up with a few broad questions I’ll focus on, and I’d welcome thoughts from this blog’s legion of smart readers on any of these.
- How many people in New York’s startup community came from finance, and under what conditions did they make the move? In 2003, Google was a five-year-old, privately-held startup and Bear Stearns was an 80-year-old pillar of the financial sector. Five years later, Google was a pillar of the technical economy and among the world’s biggest companies; Bear Stearns had ceased to exist. Bright quantitatively-minded people who might have pursued finance for its stability and lucre now see that sector as unstable and not necessarily lucrative; its advantage over the technology sector in those respects has disappeared. Joining a 10-person startup is very different from taking a job at Google, but the comparative appeal of the two sectors has dramatically shifted.
- To what degree have anchor institutions played a role in the New York startup scene? The relationship between Stanford University and Silicon Valley is well-documented; I’d like to figure out who’s producing steady streams of bright technologists in New York. Google’s Chelsea office, opened in 2006, now employs close to 3,000 people, and its alumni include Dennis Crowley, founder of Foursquare. That office is now old enough that it can generate a high volume of spin-offs as Googlers look for new challenges. And Columbia and NYU (and soon a Cornell-Technion consortium) have embraced New York’s startup community.
Looking ahead at big data's role in enterprise business intelligence, civil engineering, and customer relationship optimization.
- Everything is on the Internet.
- The Internet has a lot of data.
- Therefore, everything is big data.
When you have a hammer, everything looks like a nail. When you have a Hadoop deployment, everything looks like big data. And if you’re trying to cloak your company in the mantle of a burgeoning industry, big data will do just fine. But seeing big data everywhere is a sure way to hasten the inevitable fall from the peak of high expectations to the trough of disillusionment.
We saw this with cloud computing. From early idealists saying everything would live in a magical, limitless, free data center to today’s pragmatism about virtualization and infrastructure, we soon took off our rose-colored glasses and put on welding goggles so we could actually build stuff.
So where will big data go to grow up?
Once we get over ourselves and start rolling up our sleeves, I think big data will fall into three major buckets: Enterprise BI, Civil Engineering, and Customer Relationship Optimization. This is where we’ll see most IT spending, most government oversight, and most early adoption in the next few years. Read more…