MJRIP

My earliest memories of Michael Jackson’s music, like so many of us, are hard to separate from my earliest memories of music, period. Like every other kid who grew up in the 80s (really, from 1969 onward), I was steeped in it. Michael Jackson WAS pop culture. I moonwalked in front of the mirror. I measured the worth of a jacket by the number of non-functional zippers. Thriller was impossible to escape, and why would you want to?

That album was already a cultural phenomenon by the time I developed some musical awareness, but I remember all the Bad singles coming out one by one, and how captivating the videos were (Smooth Criminal!). My favorite memories of MJ, however, are the hours I spent driving around Montana for a summer job in college. I had a Jeep with a worn-out Jackson 5 tape on repeat, and the songs just kept getting better and better.

One week after his death, there has been an incredible outpouring of Michael Jackson memories and stories. Soul Sides and Allmusic have culled some of the most rewarding writing on MJ so far in a couple of link-heavy posts, and Pitchfork has an immense collection of MJ videos to get lost in.

I’ve been surprised at how much his death affected me. I guess I see him as a tragic figure, a uniquely American story of success and excess, and one of the last links to the now-fading Motown era. An unbelievable package of talent and ambition, driven by himself and others, isolated from normalcy, spiraling into the dark and bizarre. Yet somehow (despite this? because of this?) still able to connect with all of us. Literally, all of us — I’m sure he was the most famous person on the face of the earth. What a strange and rare creature.

I think Michael Jackson biographer Nelson George expresses it well:

Sinner or saint? More apt is artist and sinner. People want to simplify a truly complex life. We have to be sophisticated enough to acknowledge that greatness and a touch of evil dwelled in the man. I’ve always believed that transcendent art emanates from the purest, most evolved parts of our soul. But that highly spiritual achievement doesn’t absolve us of our daily misdeeds. To simply brand him a smooth criminal, as some have, or to overlook his tragic nature, as have others, is to deny his humanity. The meaning of Michael Jackson’s life — as a black man, a sexual being, a abused and abusing adult — will be interpreted to fit the prejudices of the speaker. His music — it speaks volumes.

The Future is Big in the Present

Former GBN co-worker and Worldchanging buddy Jamais Cascio is in the spotlight this month with two simultaneous big media articles: a WSJ story on geoengineering and an Atlantic story on enhanced cognition.

Both have been long-time interest areas of many futurists and foresight groups, but rarely have they gotten airtime like this. Cheers to Jamais for introducing these concepts to a much wider audience while pushing the conversation forward.

My favorite part of the Atlantic piece:

As processor power increases, tools like Twitter may be able to draw on the complex simulations and massive data sets that have unleashed a revolution in science. They could become individualized systems that augment our capacity for planning and foresight, letting us play “what-if” with our life choices: where to live, what to study, maybe even where to go for dinner. Initially crude and clumsy, such a system would get better with more data and more experience; just as important, we’d get better at asking questions. These systems, perhaps linked to the cameras and microphones in our mobile devices, would eventually be able to pay attention to what we’re doing, and to our habits and language quirks, and learn to interpret our sometimes ambiguous desires. With enough time and complexity, they would be able to make useful suggestions without explicit prompting.

Does anyone else see a glimmer of this future in Hunch?

Understanding complex arguments, improving group decision making

Good post from Jim Fallows on the use of visual “thinking tools” for understanding complex issues. Argument mapping, the subject of the post, is like the structured, ultralogical sibling of graphic recording — both seek to distill the work of groups into a coherent, easily understandable form. For more on the need for such thinking tools, Fallows points to a paper, Enhancing Our Grasp of Complex Arguments, originally delivered as a conference opener. Anyone involved in group process work — or indeed, who has ever attended a conference — will have faced the questions raised here:

For the next two days, a series of individuals are going to address you, all approaching the matter of population and environment in 21st century Australia from different angles. How much of what they say will you retain? How clearly? How much overlap will there be between what any two of you retain, not to mention the whole gathering? How will you know? How much congruence will there be between the questions you ask of the different speakers? How cogent will their answers be? How will we be clear about the significance of their answers? What consensus, if any, will be generated by the conference? To what extent will such consensus be justified? How will we know? These are all questions about the cognitive process of deliberating. It is this process, not the substantive matter in hand, that I will address this morning.

My take is that we are just at the beginning of understanding how to do group decision-making right, and that we will increasingly rely on technology to do so as the scale increases. What’s interesting so far though is how non-technological a process this has been. Understanding cognitive biases and the subjectivity of expert judgment — these are primarily individual-scale psychological insights. Argument mapping and graphic recording are incredibly analog activities — we’re talking about pen on paper. So the question in my mind is: do all these threads presage an era of tech-enabled massively multiplayer decision-making, or is it the case that while our issues may grow infinitely in complexity, our sense-making tools need to stay human-scale?

iPhone as platform for automated species identification

nyt digital field guides.png


The NYT ran a quick “novelties” story on smartphone applications for identifying species of trees by matching cameraphone images of leaves to a database of leaf shapes — Foliage Field Guides for Cellphones. I hope the EOL project is taking notes. Lightweight iPhone-type apps may be the quickest development path towards some exciting new citizen science initiatives.

The promise of automated species identification has been a taxonomic dream for some time. Species identification mobile applications could be a platform for more widespread and persistent biodiversity surveys, e.g., bringing more users to collaborative birding surveys now coordinated online. Given enough uptake and use of such applications, one could imagine an ambient level of biodiversity awareness emerging from this data, a Wikipedia-like record of species sightings. Even a simple map showing the geographic range of sightings of a particular species over time would be hugely interesting.

Science and science fiction has been awaiting the device that would enable this type of information since before Captain Kirk first held a tricorder. Ecologist Dan Janzen articulated the vision of a handheld DNA analyzer just a few years ago:

Imagine a world where every child’s backpack, every farmer’s pocket, every doctor’s office and every biologist’s belt has a gadget the size of a cell-phone. A free gadget. Pop off a leg, pluck a tuft of hair, pinch a piece of leaf, swat a mosquito, and stick it in on a tuft of toilet tissue. One minute later the screen says Periplaneta americana, Canis familiaris, Quercus virginiana, or West Nile virus in Culex pipiens.

tricorder.png

However, we may not have to wait for science to catch up with fiction. I would wager that image-based species identification — next-generation versions of the iPhone app covered by the New York Times — will be enough to correctly identify 90% of the species images that are thrown at them. Most of us would use these in our back yards and beyond, not in the Amazonian rainforest. Facial-recognition algorithms are getting increasingly sophisticated, and there will be no shortage of amateur taxonomists to help systems learn when they mis-identify recognizable species. Given a march towards better cameras and faster mobile data networks, it’s not unreasonable to assume that one could do real-time matching on an uploaded image to narrow the range down to a given species by querying a number of EOL-type taxonomic databases. It’s ultimately a tractable software problem, not an incredibly difficult hardware problem.

I’ve been waiting for my jetpack since we entered the 21st century, and will probably have to wait a lot longer. But a handheld species identification device — sounds like I could be hiking with a beta version on my iPhone pretty soon!

Demography (revised) is destiny (re-envisioned)

Informative piece from the Wilson Quarterly on recent demographic projections. With such a long-term view, it is typical for small changes in assumptions (e.g., country birthrate shifts) to register major changes in actual numbers. What is atypical, however, is how quickly many of our demographic assumptions have shifted over the past few years.

Something dramatic has happened to the world’s birthrates. Defying predictions of demographic decline, northern Europeans have started having more babies. Britain and France are now projecting steady population growth through the middle of the century. In North America, the trends are similar. In 2050, according to United Nations projections, it is possible that nearly as many babies will be born in the United States as in China. Indeed, the population of the world’s current demographic colossus will be shrinking. And China is but one particularly sharp example of a widespread fall in birthrates that is occurring across most of the developing world, including much of Asia, Latin America, and the Middle East. The one glaring exception to this trend is sub-Saharan Africa, which by the end of this century may be home to ­one-­third of the human ­race.

via Paul Kedrosky

Homo Sapiens and the Emergence of Technology

Kevin Kelly just knocks it out of the park with this brilliant essay on early man and “the world without technology.” Part of his forthcoming book on the origin and future of technology, he charts the beginning of tool-making and links the rise of language to the spread of humans around the world.

To really appreciate the effects of technology – both its virtues and costs — we need to examine the world of humans before technology. What were our lives like without inventions? For that we need to peek back into the Paleolithic era when technology was scarce and humans lived primarily surrounded by things they did not make.

Few writers in anthropology or sociology understand technology like Kevin, and few technology writers attempt his scope. The Technium is going to a pleasure to read.

Best email ever

Look who took a break from dancing on a moving train, falling for Deepika Padukone, shilling for Pepsi, and generally being the icon of a billion people…to add me on his Twitter!

Hi, Chris Coldewey (krrish).

Shahrukh Khan (shahrukh_khan) is now following your updates on Twitter.

Check out Shahrukh Khan’s profile here:
http://twitter.com/shahrukh_khan

Best,
Twitter

Biodiversity informatics conference

The EO Wilson-founded Encyclopedia of Life is sponsoring a conference on biodiversity informatics — the application of DNA barcoding, IT, and other forms of technology to the issues of biodiversity and taxonomy. E-Biosphere 09 brings together all of the major players involved in barcoding — this will be a great event for understanding the state of the science if nothing else.

Happily, the organizers have created fora for online engagement with the conference — self-organized groups are being asked to produce papers that may end up in the conference proceedings on such topics as:

* A current landscape and future roadmap for Biodiversity Informatics
* Standards development and management
* Global Names Architecture
* Cybertaxonomy
* Basic biodiversity science research
* Training in biodiversity informatics
* Developing world
* Sustainable economic development
* Ecology and ecosystems, environmental sustainability, climate change
* Conservation and land use
* Agriculture
* Forestry
* Fisheries
* Public Health
* Uses in public, K-12 and higher education
* Citizen science

This is a great start, but one thing that immediately struck me as missing was the role of business. If EOL and its peers envision developing and sharing taxonomic information on every species in the world, they need to start thinking now about commercial models that will support and facilitate this development. What will be the role of the DNA-taxonomy-driven Red Hats?

Social network visualization

nexus.jpg

Facebook social network visualization from Nexus.

Hat tip to SM

Pass this on

Rediscovered this mesmerizing video from The Knife – I love how the tension builds.

Download high quality .mov

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