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At Google this weekend. Seeing a CMU telepresence robot now.

Some details from the scifoo Wiki:

I’d like to discuss an idea I’m formulating to improve climate modeling called "Global Swarming." The core idea is to deploy tens of thousands of ocean probes by leveraging the creative smarts and logistics coordination of the web.

As someone who served as an expert witness in the Dover "Intelligent Design" trial, and who has worked in the "creation-evolution" arena for a long time, if there is any interest I would be happy to run a session on "What happens post-Dover?" What will be the next wave of anti-evolutionism and anti-science? What needs to be done to combat it and raise the American public’s awareness of the evidence for evolution? Why is this issue critical to the success of basic research in this country? How do scientists, educators, and tech folks fit in?

I’d like to brainstorm about programmable matter ProgrammableMatter. Programmable matter is any substance which can be programmed to change its shape or physical properties. We are currently working on constructing programmable matter and investigating how to program it. I would be most interested in talking about how one might program ensembles.

I’d like to present on OpenWetWare, a wiki promoting open research among biologists and biological engineers. With 65 labs and 1200 users on OpenWetWare, I can provide practical examples of how scientists are currently making use of the web(2.0) to support research and education in new ways. I’ll also talk about where the site is headed in the future, and how foocampers could help make it easier for scientists to share more of their secrets online.

I’ll bring a memory stick with the recent radar images of what appear to be hydrocarbon-filled lakes on Saturn’s moon, Titan, and some movies from Titan. I’m also happy to discuss the interesting phenomenon of "instant public science" done by enthusiasts everywhere who have instant access to the latest space science data from the web. BTW, Nature magazine’s piece on exciting questions in chemistry (this week) included a mention of Titan, which should be on every organic chemists’ hit list for places to visit.

I am interested in discussing the dichotomy of design and evolutionary search as divergent paths in complex systems development. – jurvetson.blogspot.com

I could begin a session about Systems Biology, with a general theme of building towards whole cell or whole organisms models in biology. I have some (whacky) ideas about this in addition to having done some real science on this subject.

I could present about novel circuit-focused neurotechnologies I’m developing, for advancing the study of brain function and consciousness, and for treating neurological and psychiatric disorders. Although I’ve been exploring this question in academic research settings – and I’m gearing up to set up my own university laboratory – I’d like to brainstorm about how to build the significant community of clinicians, engineers, scientists, and psychologists that we’d need to make strong scientific progress on the timeless, unyielding problem of understanding the nature of consciousness.

I could talk about/demonstrate: digital fabrication in the lab and its impact in field fab labs around the world, mathematical programs as a programming model for enormous/unreliable/extended systems and their application in analog logic circuits and Internet 0 networks, and microfluidic logic to integrate chemistry with computation

I could contribute to a session on powerlaws in nature, markets and human affairs. They’re found nearly everywhere, from earthquakes to species distributions to cities to wars. We used to think the world was mostly defined by gaussian distributions (bell curves) with neat medians and standard deviations. But now we see that powerlaws, where low-frequency events have the highest amplitude, are far more common, and they’re infinite functions where concepts like "average" are meaningless. What are the factors that create powerlaws and what does nature have in common with economics and social networking in this instance?

I’d like to talk to the assembled folks about a project we are running to help scientists move large datasets without using the internet (which can be very slow or expensive.

I hope to demo a viral database and talk about efforts to build real time surveillance via the WHO.

I’d like to discuss the range of applications being discussed in HE (HigherEd) that permit faculty and research groups to store and share a wide range of scholarly assets, including research data, texts (articles such as pre-prints and post-prints), images, and other media. These next generation academic apps provide support for tagging, community-of-use definitions, discovery, rights assertions via CC, and new models of peer review and commentary. Early designs typically implicate heavy use of atom or gdata for posting and retrieval, lucene, and ajax.

I can offer a brief introduction to the Human Genome, and the field of Comparative Genomics which focuses on comparing our own genome to that of other species. I’ll try to give a taste of some of the startling revelations, seeming paradoxes, and many open questions that make working with this three billion letter string a ball.

I could offer the opposite point of view, looking at the very simplest organisms, what they do, how they work, and what life looks like when the genome fits on a floppy.

I would like to talk about the future of the scientific method. How the scientific method was one invention the Chinese did not make before the west, and how the process of science has changed in the last 400 years and will change even more in the next 50 years. I’d love to hear others’ ideas of where the science method is headed.

I could offer some (possibly naive) ideas on how we could design evolvability into the scientific process by learning from the evolution of cellular complexity. I can also include some examples from language evolution and software evolution.

I can describe our general approach for open collaborative biomedical research at The Synaptic Leap.

I have in mind a presentation related to my project on Milestones in the History of Data Visualization – an attempt to provide a comprehensive catalog documenting and illustrating the historical developments leading to modern data visualization and visual thinking. The talk might encompass some of (a) some great moments in the history of data visualization, (b) ‘statistical historiography’: the study of history as ‘data’, (c) a self-referential Q: how to visualize this history. The goal would be more to suggest questions and aproaches than to provide answers – in fact a main reason to present would be to hear other people’s reactions.

As we’re on the topic of visualizations, I could give a talk about the rise of the geobrowser/virtual globe and how it is revolutionizing the geospatial visualization of information. I can showcase some of the best examples of scientific visualizations, show how geobrowsers are helping humanitarian causes and discuss the social-software aspect of Google Earth and other expected ‘mirror worlds’, where geospatial information is shared, wiki-like. Above all, I would love to brainstorm the possible use of geobrowsers in the projects of other campers.

I’m willing to give a talk about imaging projects in the Stanford Computer Graphics Laboratory, such as our large array of cameras, our handheld camera whose photographs you can refocus after you take the picture, and our work on multi-perspective panoramas (the Google-funded Stanford CityBlock Project). These projects are part of a trend towards "computational photography", in which computers play a significant role in image formation.

I’m a Hugo Award-winning science-fiction writer, and I’m working on a trilogy (my 18th through 20th novels) about the World Wide Web spontaneously gaining consciousness once the number of interconnections it has exceeds the number in a human brain. I’d love to talk a bit about my ideas of how such a consciousness, at first an epiphenomenon supervening on top of the web infrastructure, might actually come to access the documents and input sources available online and how it might perceive external reality, and I’d love to brainstorm with people about what sort of interactions and relationships humanity might have with such an entity.

I could talk about the current and future generation of astronomical surveys that will map the sky every three nights or so (e.g. the Large Synoptic Survey Telescope). They are designed to be able to address multiple science goals from the same data set (e.g. understanding cosmology and dark energy through to indentifying moving sources such as asteroids in our Solar System). With hundreds of thousands of variable sources detected each year (on top of the ten billion non-variables) the flow of data presents a number of challenges for how we follow up these sources.

I could talk about insights gained as part of the NSF-funded Pathways research project (Cornell U, LANL) that looks at scholarly communication as a global workflow across heterogeneous repositories and tries to identify a lightweight interoperability framework to facilitate the emergence of a natively digital scholarly communication system. Think introspecting on the evolution of science by traversing a scholarly communication graph that jumps across repositories. I could also talk about work we have been doing with scholarly usage information: aggregating it across repositories, and using the aggregated data to generate recommendations and metrics.

I’d love to show the prototype of an NSF-sponsored web-based simulation designed to help students learn about the nature of science. I’ll bring the server on my laptop; we can all connect and play cosmologist. Advice welcome. More at NatureOfScienceGame

Making Open Access Affordable (free): There is a move afoot to put all science literature in the public domain (it is mostly funded with tax-free or tax money). There is a move afoot to put all science data in the public domain (ditto). These are unfunded mandates. We can not do much about the funding, but we computer scientists can do a LOT to drive the needed funds to zero by making it EASY to publish, organize, search, and display literature and data online. This also dovetails with Jill Mesirov’s approach to reproducable science – future science literature will be a multi-layer summary of the source data – words, graphs, pictures on top and derivations + data underneath. Many working on these issues will be at this event. We should have a group-grope.

Laboratory Information Management Systems (LIMS) for small labs with BIG data. It is embarrassing how many scientists use Excel as their database system – but even more embarrassing is how many use paper notebooks as their database. New science instruments (aka sensors) produce more data and more diverse data than will fit in a paper notebook, a table in a paper, or in Excel. How does "small science" work in this new world where it takes 3 super-programmers per ecologist to deploy some temperature and moisture sensors in a small ecosystem? We think we have an answer to this in the form of pre-canned LIMS applications.

Related to this I could talk a bit about how our work on myGrid has been aiming at taking the escience capabilities offered to large well funded groups down to a more ‘grass roots’ level – grid based science is traditionally the realm of people and groups with serious money but we don’t think this has to be the case.

I could present a software demo of a new web-based collaborative environment for sharing drug discovery data – initially focused on developing world infectious disease research (such as Malaria, Chagas Disease, African Sleeping Sickness) with technology that should be equally applicable for scientists collaborating around any private or public therapeutic area. This demo is a collaboration initiated between Collaborative Drug Discovery, Inc and Prof. McKerrow at UCSF which could shift drug discovery efforts away from today’s fragmented, secretive, individual lab model to an integrated, distributed model while maintaining data and IP protection.

Our present vaccine production infrastructure leaves us woefully unprepared to deal with either natural or artificial surprises – think SARS and avian influenza (H5N1), which can both easily outpace our technological response. There are superior technological alternatives that will not be widely available for years to come due to regulatory issues, and I would like engage the other campers on ways to address this problem. In particular, I would like to explore the potential contribution of distributed, low cost science – garage science – to improving our safety and preparedness.

The "Encyclopedia of Life" is a buzz phrase being bandied around by biologists – the idea is having an online resource that tells you what we know about each species of organism on the planet. It’s an idea that seems obvious, but how would we achieve this given the scale of the task (number of known species about 2 million, those waiting to be found maybe 2-100, we really don’t know), the rapidly dwindling number of experts who can tells us something about those organisms, the size of the literature (unlike most sciences, taxonomists care about stuff published back as far as the 18th century), and the widely distributed, often poorly digitized sources of information? I’d willing to chat about some of the issues involved, and some possible solutions

I would like to share briefly with you the results of a five year project to create and publish the world’s first totally integrated Encyclopedic vision of food – its origins, variations, complexity,nutrients, dimensions, meanings, enjoyment, history and a thousand and one stories about food. The result is a new kind of truly multidimensional Encyclopedia of Food and Culture that I edited with a whole team of scientists and scholars, and Scribner’s (Gale /Thompson) published in 2003. The Encyclopedia has been well reviewed and we won, among many awards, the Dartmouth Medal (the top prize in the reference world) in July 2004. I am bringing a three volume HARD copy with me and will put it on display at the “Table” for everyone to peruse at your leisure -(it is designed to ‘catch you’ – so if you are a browser and you love food you may have trouble giving it up for others to read!)I would also be delighted to talk about a new kind of World Food Museum that is designed to make the Encyclopedia come alive (please seem my bio statement for more).

I would like to present Cornell Lab of Ornithology’s Citizen Science work as an example of several of the broader citizen science interests described in the Wiki. These include: Challenges of involving the public in data collection for professional research, scientific tradeoffs and possibilities, internet data collection tools, dynamic graphing and mapping tools, data mining, sustainability, webcommunity building plans for the future, and recruitment models within the contexts of conservation science and ornithology.
I would also like to demonstrate the new Pulluin software chip that fits in a TREO palm cell phone. It has a bird ID tool, lets you hear vocalizations, see pictures, and enter data into one of our citizen science projects, eBird. The ideal way to show you this toy would be to take interested campers on an early morning bird walk. If I can get enough signups, I will try to get eBird project leader, Brian Sullivan, to come up from Monterey, providing he is available. We would probably carpool to the shore to bird. If you are interested, email me and tell me which days, Sat., Sun., or both, you would be available.

Who are we? I’d like to give a short talk to argue for the importance of addressing an old question with a new meaning: What is it like to be human? Why do we dare, care and share? Why are we curious, generous and open? We have to deal with these questions before artifical intelligence, genetic engineering and the globalisation of cultures have changed us irreversibly. Many areas of activity in science, technology and the arts offer new perspectives: Sexual selection, algorithmic information theory, perception, nutrition, experimental economics, game theory and network theory, etc. They point to a coherent view of humans as flows and processes, rather than things and objects. Openness is essential. Attention is essential. Time is ripe for a new collective effort at producing a view of human being relevant to our age.

Robotics for the Masses – I would like to present two new technologies that we are public-domaining imminently. One is Gigapan, a technology for taking ultra-high-resolution panoramic images with low-cost equipment. We can generate time lapses of an entire field with enough detail to see individual petals in detail as they bloom and wither. The second is the TeRK site, which is designed to enable non-roboticists to make robots for tools without becoming robotics experts. I will bring Gigapans and TeRK robots with me and would love to show them doing their techie things. Both of these strands have the potential to be useful scientific tools.

Science, not near as much fun as math! :~) But without it the world remains untouchable. Do you want your child with maximum understanding? We better equip the rest to understand her, so that she is heard when speaking about this exquisite world. But how to reach as many as can be reached? Free is not near enough, full access comes close. The challenge is to deliver science, as the compelling, engaging, tantalizing world that it is, the very first frontier to cross into who we are. The quality of that experience needs freedom of expression. NASA World Wind is a bold step towards that. We are delighted to share the not-so-secret secrets thereof.

I could discuss how our fundamental discoveries on bipedal bugs and octopuses, gripping geckos and galloping ghost crabs have provided biological inspiration for the design of robots, artificial muscles and adhesives. I can include a demo of artificial muscles from Artificial Muscle Incorporated. I will bring two robots in development – a gecko-like climbing robot from our collaboration with Stanford and an insect-like hexapedal robot built by our UPenn colleagues. I will carry with me live death-head cockroaches that serve as our inspiration. I could facilitate a discussion of neuromechanical control architectures. I will introduce briefly our new center at Berkeley (CIBER – Center for Interdisciplinary Bio-inspiration in Education and Research) and a new journal – Bioinspiration and Biomimetics. I welcome this group’s creative suggestions not only for the next generation of robots, but also for novel designs using tunable skeletal structures, artificial muscles and dry adhesives

I would be interested in discussing and debating technical and nontechnical issue involving Social Semantic Search and Analytics. There is a significant interest in Social Search, and some interest in Semantic Search. Here is a scenario that probably involves more futuristic capabilities but a modest verion of this can lead to lower hanging fruits involving "little semantics" and "weak semantics" which would involve less infrastructure in creating and maintaining ontologies (albeit my experience shows building and maintaining large ontologies is doable, see Semantic Web: A different perspective on what works and what doesn’t: (a) a research paper is published ;Eg: Semantics Analytics on Social Networks www2006.org/programme/item.php?id=4068], (b) there is a popular press article with numerous factual errors and unsupported conjuctures e.g., this one, (c) there are several versions on popular web sites along with numerous blog postings containing emotional reactions See for example, (d) Tim O’Reilly digs into the facts and sets the record staight in Datamining Social Networking Sites. How can we track the string of these stories along various dimensions [thematic, spatial, temporal] while provding overview, ranking based on various criteria, contextual linking, insights on individual postings, and more? I am interested in more than clustering and linking through statistical analysis which are good to put some stories in font of a reader,but would not sufficiently help someone who needs to creat a cogent understanding of an event or a situation.

I’d like to discuss the planning of a Mountain View Consensus, in response to Bjørn Lomborg’s Copenhagen Consensus, a ranking of where to spend money on the world’s biggest problems. The frustrating thing about the Copenhagen Consensus is that it is published as a report – so if you think the compund interest rate should be 2% higher, you can only speculate on what the effect would be of changing it. For the Mountain View Consensus we would publish findings as a collaborative spreadsheet, with annotations for the values that different participants place on each variable, and the opportunity for anyone to add annotations. Also, while Lomborg invited only economists, we would include scientists and engineers who understand the technologies, and venture capitalists who understand risk factors and chances of technology bets.

I have two projects I’d like to share at Science Foo–and i’m eager to hear your thoughts on how best to build and deploy them both:
1) An open source project–the Family Medical History Tool –that could graphically capture essential medical data and which could be shared by family members (with this goes a myriad of challenging issues around privacy, HIPPA laws, etc.
2) We’re initiating a "citizen science" approach to a retrospective clinical trial providing open and transparent results real-time. We believe that additional data could be rapidly collected to demonstrate a correlation between drug metabolism and genotype for the 2D6 gene and the drug tamoxifen. Preliminary data shows that 5-10 % of women who are 2D6 poor metabolizers taking tamoxifen (to avoid a reoccurrence of cancer) may be getting nothing more than a placebo effect, and worse, run a 3 times greater risk of a cancer reoccurrence.

I could give a talk and lead a discussion on the status and prospects for advanced nanotechnologies based on digital control of molecular assembly. I’d start by describing machines that already do this (in biology) and how they are being exploited to make nanostructures. I’d then outline a path forward to some very powerful technologies that today can be studied only by means of physical modeling and computational simulation. There are potential applications on a scale relevant to the climate change problem.

Churchill Club Top 10 Tech Trends Debate
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Image by jurvetson
I just got back from the Churchill Club’s 13th Annual Top 10 Tech Trends Debate (site).

Curt Carlson, CEO of SRI, presented their trends from the podium, which are meant to be “provocative, plausible, debatable, and that it will be clear within the next 1-3 years whether or not they will actually become trends.”

Then the panelists debated them. Speaking is Aneesh Chopra, CTO of the U.S., and smirking to his left is Paul Saffo, and then Ajay Senkut from Clarium, then me.

Here are SRI’s 2011 Top 10 Tech Trends [and my votes]:

Trend 1. Age Before Beauty. Technology is designed for—and disproportionately used by—the young. But the young are getting fewer. The big market will be older people. The aging generation has grown up with, and is comfortable with, most technology—but not with today’s latest technology products. Technology product designers will discover the Baby Boomer’s technology comfort zone and will leverage it in the design of new devices. One example today is the Jitterbug cell phone with a large keypad for easy dialing and powerful speakers for clear sound. The trend is for Baby Boomers to dictate the technology products of the future.

[I voted YES, it’s an important and underserved market, but for tech products, they are not the early adopters. The key issue is age-inspired entrepreneurship. How can we get the entrepreneurial mind focused on this important market?]

Trend 2. The Doctor Is In. Some of our political leaders say that we have "the best medical care system in the world". Think what it must be like in the rest of the world! There are many problems, but one is the high cost of delivering expert advice. With the development of practical virtual personal assistants, powered by artificial intelligence and pervasive low-cost sensors, “the doctor will be in”—online—for people around the world. Instead of the current Web paradigm: “fill out this form, and we’ll show you information about what might be ailing you”, this will be true diagnosis—supporting, and in some cases replacing—human medical practitioners. We were sending X-rays to India to be read; now India is connecting to doctors here for diagnosis in India. We see the idea in websites that now offer online videoconference interaction with a doctor. The next step is automation. The trend is toward complete automation: a combination of artificial intelligence, the Internet, and very low-cost medical instrumentation to provide high-quality diagnostics and advice—including answering patient questions—online to a worldwide audience.

[NO. Most doctor check-ups and diagnoses will still need to be conducted in-person (blood tests, physical exams, etc). Sensor technology can’t completely replace human medical practitioners in the near future. Once we have the physical interface (people for now), then the networking and AI capabilities can engage, bringing specialist reactions to locally collected data. The real near-term trend in point-of-care is the adoption of iPads/phones connected to cloud services like ePocrates and Athenahealth and soon EMRs.]

Trend 3. Made for Me. Manufacturing is undergoing a revolution. It is becoming technically and economically possible to create products that are unique to the specific needs of individuals. For example, a cell phone that has only the hardware you need to support the features you want—making it lighter, thinner, more efficient, much cheaper, and easier to use. This level of customization is being made possible by converging technical advances: new 3D printing technology is well documented, and networked micro-robotics is following. 3D printing now includes applications in jewelry, industrial design, and dentistry. While all of us may not be good product designers, we have different needs, and we know what we want. The trend is toward practical, one-off production of physical goods in widely distributed micro-factories: the ultimate customization of products. The trend is toward practical, one-off production of physical goods in widely distributed micro-factories: the ultimate customization of products.

[NO. Personalization is happening just fine at the software level. The UI skins and app code is changeable at zero incremental cost. Code permeates outward into the various vessels we build for it. The iPhone. Soon, the car (e.g. Tesla Sedan). Even the electrical circuits (when using an FPGA). This will extend naturally to biological code, with DNA synthesis costs plummeting (but that will likely stay centralized in BioFabs for the next 3 years. When it comes to building custom physical things, the cost and design challenges relegate it to prototyping, tinkering and hacks. Too many people have a difficult time in 3D content creation. The problem is the 2D interfaces of mouse and screen. Perhaps a multitouch interface to digital clay could help, where the polygons snap to fit after the form is molded by hand.]

Trend 4. Pay Me Now. Information about our personal behavior and characteristics is exploited regularly for commercial purposes, often returning little or no value to us, and sometimes without our knowledge. This knowledge is becoming a key asset and a major competitive advantage for the companies that gather it. Think of your supermarket club card. These knowledge-gatherers will need to get smarter and more aggressive in convincing us to share our information with them and not with their competitors. If TV advertisers could know who the viewers are, the value of the commercials would go up enormously. The trend is technology and business models based on attracting consumers to share large amounts of information exclusively with service providers.

[YES, but it’s nothing new. Amazon makes more on merchandising than product sales margin. And, certain companies are getting better and better at acquiring customer information and personalizing offerings specifically to these customers. RichRelevance provides this for ecommerce (driving 25% of all e-commerce on Black Friday). Across all those vendors, the average lift from personalizing the shopping experience: 15% increase in overall sales and 8% increase in long-term profitability. But, simply being explicit and transparent to the consumer about the source of the data can increase the effectiveness of targeted programs by up to 100% (e.g., saying “Because you bought this product and other consumers who bought it also bought this other product" yielded a 100% increase in product recommendation effectiveness in numerous A/B tests). Social graph is incredibly valuable as a marketing tool.]

Trend 5. Rosie, At Last. We’ve been waiting a long time for robots to live in and run our homes, like Rosie in the Jetsons’ household. It’s happening a little now: robots are finally starting to leave the manufacturing floor and enter people’s homes, offices, and highways. Robots can climb walls, fly, and run. We all know the Roomba for cleaning floors—and now there’s the Verro for your pool. Real-time vision and other sensors, and affordable precise manipulation, are enabling robots to assist in our care, drive our cars, and protect our homes and property. We need to broaden our view of robots and the forms they will take—think of a self-loading robot-compliant dishwasher or a self-protecting house. The trend is robots becoming embedded in our environments, and taking advantage of the cloud, to understand and fulfill our needs.

[NO. Not in 3 years. Wanting it badly does not make it so. But I just love that Google RoboCar. Robots are not leaving the factory floor – that’s where the opportunity for newer robots and even humanoid robots will begin. There is plenty of factory work still to be automated. Rodney Brooks of MIT thinks they can be cheaper than the cheapest outsourced labor. So the robots are coming, to the factory and the roads to start, and then the home.]

Trend 6. Social, Really. The rise of social networks is well documented, but they’re not really social networks. They’re a mix of friends, strangers, organizations, hucksters—it’s more like walking through a rowdy crowd in Times Square at night with a group of friends. There is a growing need for social networks that reflect the fundamental nature of human relationships: known identities, mutual trust, controlled levels of intimacy, and boundaries of shared information. The trend is the rise of true social networks, designed to maintain real, respectful relationships online.

[YES. The ambient intimacy of Facebook is leading to some startling statistics on fB evidence reuse by divorce lawyers (80%) and employment rejections (70%). There are differing approaches to solve this problem: Altly’s alternative networks with partioning and control, Jildy’s better filtering and auto-segmentation, and Path’s 50 friend limit.]

Trend 7. In-Your-Face Augmented Reality. With ever-cheaper computation and advances in computer vision technology, augmented reality is becoming practical, even in mobile devices. We will move beyond expensive telepresence environments and virtual reality games to fully immersive environments—in the office, on the factory floor, in medical care facilities, and in new entertainment venues. I once did an experiment where a person came into a room and sat down at a desk against a large, 3D, high-definition TV display. The projected image showed a room with a similar desk up against the screen. The person would put on 3D glasses, and then a projected person would enter and sit down at the other table. After talking for 5 to 10 minutes, the projected person would stand up and put their hand out. Most of the time, the first person would also stand up and put their hand into the screen—they had quickly adapted and forgotten that the other person was not in the room. Augmented reality will become indistinguishable from reality. The trend is an enchanted world— The trend is hyper-resolution augmented reality and hyper-accurate artificial people and objects that fundamentally enhance people’s experience of the world.

[NO, lenticular screens are too expensive and 3D glasses are a pain in the cortex. Augmented reality with iPhones is great, and pragmatic, but not a top 10 trend IMHO]

Trend 8. Engineering by Biologists.
Biologists and engineers are different kinds of people—unless they are working on synthetic biology. We know about genetically engineered foods and creatures, such as gold fish in multiple other colors. Next we’ll have biologically engineered circuits and devices. Evolution has created adaptive processing and system resiliency that is much more advanced than anything we’ve been able to design. We are learning how to tap into that natural expertise, designing devices using the mechanisms of biology. We have already seen simple biological circuits in the laboratory. The trend is practical, engineered artifacts, devices, and computers based on biology rather than just on silicon.

[YES, and NO because it was so badly mangled as a trend. For the next few years, these approaches will be used for fuels and chemicals and materials processing because they lend themselves to a 3D fluid medium. Then 2D self-assembling monolayers. And eventually chips , starting with memory and sensor arrays long before heterogeneous logic. And processes of biology will be an inspiration throughout (evolution, self-assembly, etc.). Having made predictions along these themes for about a decade now, the wording of this one frustrated me]

Trend 9. ‘Tis a Gift to be Simple. Cyber attacks are ever more frequent and effective. Most attacks exploit holes that are inevitable given the complexity of the software products we use every day. Cyber researchers really understand this. To avoid these vulnerabilities, some cyber researchers are beginning to use only simple infrastructure and applications that are throwbacks to the computing world of two decades ago. As simplicity is shown to be an effective approach for avoiding attack, it will become the guiding principle of software design. The trend is cyber defense through widespread adoption of simple, low-feature software for consumers and businesses.

[No. I understand the advantages of being open, and of heterogencity of code (to avoid monoculture collapse), but we have long ago left the domain of simple. Yes, Internet transport protocols won via simplicity. The presentation layer, not so much. If you want dumb pipes, you need smart edges, and smart edges can be hacked. Graham Spencer gave a great talk at SFI: the trend towards transport simplicity (e.g. dumb pipes) and "intelligence in the edges" led to mixing code and data, which in turn led to all kinds of XSS-like attacks. Drive-by downloading (enabled by XSS) is the most popular vehicle for delivering malware these days.]

Trend 10. Reverse Innovation. Mobile communication is proliferating at an astonishing rate in developing countries as price-points drop and wireless infrastructure improves. As developing countries leapfrog the need for physical infrastructure and brokers, using mobile apps to conduct micro-scale business and to improve quality of life, they are innovating new applications. The developing world is quickly becoming the largest market we’ve ever seen—for mobile computing and much more. The trend is for developing countries to turn around the flow of innovation: Silicon Valley will begin to learn more from them about innovative applications than they need to learn from us about the underlying technology.

[YES, globalization is a megatrend still in the making. The mobile markets are clearly China, India and Korea, with app layer innovation increasingly originating there. Not completely of course, but we have a lot to learn from the early-adopter economies.]

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