Thermostats: yet another example why open standards win with #IoT

Despite my passion for all things Apple and the incredible functionality that comes from Tim Cook’s passion for integrating all parts of the ecosystem seamlessly (and, as I’ve noted in prior disclaimers, my part-time work at the Apple Store ..), I don’t think there’s any doubt when it comes to the Internet of Things that open standards win out.

That’s because they meet the test of my favorite Essential Truth, “who else can use this data?”

It goes back to my Data Dynamite book and my work with Vivek Kundra when he was opening up data in the District of Columbia before becoming the US CIO: when you share data, you empower end users and can go beyond your own developers’ talents and interests, to harvest others’ interests and developments.

opower_sHere’s a great example. Opower’s OpenStat API enables the electric  industry’s only open thermostat management platform. It allows any smart thermostat provider to participate in existing Opower-managed utility thermostat programs. It combines energy usage, billing, parcel and weather data to engage customers, drive measurable energy efficiency, and deliver reliable demand response.  It already has 95 partner utilities, 50 million (really? that sounds high to me…) homes in 35 states sharing data.

By contrast, Nest (which of course was created by Apple alums) had to create a specific API to allow sharing its data. 

This API is Nest’s answer to the Learning Thermostat’s lack of Z-Wave or ZigBee wireless communication. Nest came under fire from the CEDIA crowd when the Learning Thermostat launched since it wouldn’t work within even $100k home automation systems. The thermostat wasn’t friendly with others. It wouldn’t talk to other home automation products using the legacy home automation protocols. This API could change everything.

The jury’s still out — and it will really be interesting to see how many other companies decide to integrate with Apple’s new Health and Home apps. On one hand, a proliferation of standards just retards more creative API mashups, a la IFTTT (my heros!!). On the other, seamless integration and ease-of-use, the Apple hallmarks, could go a long way to ingraining the IoT into consumers’ daily lives.

What do you think?

 

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Live-blogging @ Wearables + Things

 

Just arrived @ Wearables + Things conference (I’ll speak on “Smart Aging” tomorrow). Hmm: there’s one noteworthy player absent from the conference: those guys from Cupertino. Wonder why they’re not there (perhaps in stealth mode??)

Conference already underway, about to have 2 new product reveals!

  1. iStrategyLabs, “Dorothy,” connects your shoe to your phone. You’re stuck in a conversation, need way to leave. What if you could click your heels together three times (get it, Dorothy???) and you’d get a bail-out call (or you can trigger an IFTTT recipe or call for a pizza…). “Ruby” goes in shoe.  OK, this ain’t as significant as either the Lechal haptic shoe, but who knows how it might evolve…
  2. Atlas Wearables’ fitness product, Atlas. Their goals is seamless, frictionless experiences. “What if device could recognize specific motions you’re making?” This is really cool: it recognizes and records a wide range of fitness activities, such as push-ups.  I really don’t like fact that my Jawbone can’t do that, so this looks good!

Sony Mobile, Kristian Tarnhed. Challenges:

  1. g data overload. They have a “lifelog” app that tries to make sense of all the data.
  2. too many devices that want your attention. Make them complement smart phone as much as possible.
  3. is it really wearable, usable? 

Very funny: no one mentions Apple. 10-ton gorilla in the room????


Amazing preso by Jim McKeeth: “Is Thought the Future of Wearable Input?”  Guy wearing Google Glass is controlling a drone! Wouldn’t that be an incredible thing for “Smart Aging”  to allow a frail elder to control various household things just by thinking them?


 

Oren Michels, chief strategist, Intel (he was an API pioneer at Mashery):

  • APIs make connections. The Epocrates platform from Athena Health is an example: may save $3.5B.
  • Also working in travel. Example is Sabre, which has switched to an open API.
  • APIs create better customer experiences: Apple Pay! 30% of Starbucks revenue from its phone purchase app.

Quick time to market: Coke was able to restock vending machines instantly during 2012 Olympics through API.

  • Examples:
    • better healthcare monitoring: give small devices processing power through cloud
    • connected car ecosystem (BMW iConnected Services, MyCityWay, TomTom’s WebFleet)
    • Snapshot from Progressive
    • Inrix — “data for planning smart cities”

This, IMHO, is sooo important: open APIs are great example of my Essential Truth of “who else can use this data?” — you don’t have to develop every kewl use for your device yourself: open the API and others will help!


Peter Li, Atlas Wearables (the company that debuted their new device yesterday):

  • iPhone: remember, it was a 3-in-one solution.
  • sensors now commoditized: cheap & tiny
  • he was a biomedical engineer
  • synergistic benefits by combining data streams
  • era of augmentation: making you better without you having to think about it.
  • frictionless actions

“sensors root of the revolution”


Brad Wilkins, Nike science director:

  • he’s exercise physiologist
  • they have whole detailed process to understand physiological phenomena. Role of sensor is the describe the phenomena. Then apply that data to enhance athlete potential

Noble Ackerson, Lynxfit, “Hacking Your Way Through Rehab With Wearables”

  • they let content publishers (they work with Stanford Health, UnderArmour, etc.) in rehab area to push info to devices. Prescribe workouts.  Device agnostic.
  • They’ve imported 65 different activities into program.
  • Track: heart rate, pace, position, speed, endurance, breathing, sentiment.

Panel: Jim Kohlenberger, JK Strategies; Jose Garcia, Samsung; Mark Hanson, BeClose; Alison Remsen, Mobile Future:

  • BeClose is working with seniors!!
  • Samsung working with airports to make flying experience more enjoyable.
  • BeClose: take some of burden off health care system.
  • how government can help: faster networks. “First, do no harm.” — Digital Hypocratic Oath.

DHS (sorry, didn’t get his name):

  • In a crisis,  “data  must inform at the speed of thought” Brilliant
  • To be operational, data must be intuitive, instinctive, interoperable, and wearable.
  • Creating “Next Generation First Responder”
  • Creating fire jackets with sensors built in.

Proximity-aware apps using iBeacon:

  • beacons are Bluetooth v4.0 Low Energy transmitters.
  • mobiles can identify and determine proximity to beacon: usual range is 25 to 40 m, but you can tune it to much shorter range.
  • beacons broadcast unique identifier for the place. Also provide Measured Power Value: what’s signal strength of beacon at specific distance.
  • the beacon only sends out a unique identifier, which triggers the app contains all the info that drives the experience.
  • app is notified whether you’re in immediate range, near, or far range (might even want to present content when person exits the area).
  • beacons protect privacy by being opt-in. They are transmit only: don’t receive or collect signals from mobile devices.
  • Apple requires that the app specifically ask user to allow proximity-aware mobile app to access their location.
  • non iBeacon versions: AltBeacon (Radius Network’s opsolves en source alternative), and other ones that specific companies will introduce, optimized for their products.
  • Radius multi-beacon: solves fragmentation problem or multiple, incompatible beacon ad types. Their RadBeacons handle both types.
  • RadBeacon: USB powered, coin-cell battery powered, AA battery powered.  Most beacons will only last about a month before battery change.
  • Future of beacons: will be split in market: corporate (one of their questions has rolled out more than 16,000 — they won’t powered or long-battery-life versions & remote monitoring) vs. consumers (cheap & disposable). Will be integrated into equipment (wifi access-point hotspots, POS terminals, fuel dispensers, self-service kiosks.

My presentation about “Smart Aging”


 

Privacy & Security Panel:

  • There is real risk of personal data being intercepted. “No perfect solutions.”
  • Data can be stored on smart phone OR uploaded to cloud. What control does user have? What if you have health wearable that sends info on blood pressure, etc., to cloud, where it gets shared with companies, and, for example, it can link data to your Facebook data, could be risk of disclosure.
  • HIPPA and variety of other regulations can come into play.
  • Things moving very quickly, data captured & used. Example of Jawbone data from people who were sleeping during California quake: users upset because the data was disclosed to news media — even though it was just aggregated, was creepy!
  • FTC went after the Android flashlight app that was aggregating data. A no-no.
  • have to make it simple to understand in statements about how your data will be collected & used.
  • Tiles: if the device is gone from home, will send alert to ALL Tile devices. You might be able to modify the software so you (bad guy) could retrieve it it while the owner would think it was still lost.  Stalker might even be able to use this data..

Scott Amyx, Amyx & McKinsey,  “The Internet of Things Will Disrupt Everything”:

  • Example of McLean, the developer of intermodal shipping container. Hmm: does Amyx know about how Freight Farms has created IoT-enhanced food growing in freight containers???
  • future of M2M will allow sensors with embedded processors — smarter than today’s computers.
  • memory: over time, memory will only grow.
  • wifi: most locked networks are idle most of day. Harness them.
  • lifi: 2-way network to turn any light as a network. Higher-speed than wifi.
  • mesh networks (long-time fascination of mine, especially in disasters): every node creates more powerful network. Can’t be controlled by a central gov.
  • Implications:
    • can disrupt telecom (mesh networks)
    • shifting consumer data from cloud to you
  • they’re testing a system that would tell what a person really feels while they’re in store, film companies can test from pilot whether people will really like it. Creepy??
  • working with Element to bring this to fashion show: would gauge reaction.
  • IoT won’t be great leap, but gradual trend (like my argument that companies should begin with IoT by using it to optimize current manufacturing).
  • incredible vision of how you’ll drive to a biz appt. in driverless car, you’ll get briefing on the meeting from your windshield.
  • opportunities at every stage of the IoT development shift.
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GE & Accenture provide detailed picture of current IoT strategy & deployment

I’ll admit it: until I began writing the “Managing the Internet of Things Revolution” guide to Internet of Things strategy for SAP, I was pre-occupied with the IoT’s gee-wiz potential for radical transformation: self-driving cars, medical care in which patients would be full partners with their doctors, products that customers would be able to customize after purchase.

GE_Accenture_IoT_reportThen I came to realize that this potential for revolution might be encouraging executives to hold off until the IoT was fully-developed, and, in the process, ignoring low-hanging fruit: a wide range of ways that the IoT could dramatically increase the efficiency of current operations, giving them a chance to experiment with limited, less-expensive IoT projects that would pay off rapidly and give them the confidence and understanding necessary to launch more dramatic IoT projects in the near future.

This is crucially important for IoT strategies: instead waiting for a radical transformation (which can be scary), view it instead as a continuum, beginning with small, relatively-low cost steps which will feed back into more dramatic steps for the future.

Now, there’s a great new study, “Industrial Internet Insights Report for 2015,” from GE and Accenture, that documents many companies are in the early stages of implementing such an incremental approach, with special emphasis on the necessary first step, launching Big Data analytics — and that they are already realizing tangible benefits. It is drawn from a survey of companies in the US, China, India, France, Germany, the UK, and South Africa.

The report is important, so I’ll review it at length.

Understandably, it was skewed toward the industries where GE applies its flavor of the IoT (the “Industrial Internet”): aviation, health care, transportation, power generation, manufacturing, and mining, but I suspect the findings also apply to other segments of the economy.

The summary underscores a “sense of urgency” to launch IoT initiatives:

“The vast majority (of respondents) believe that Big Data analytics has the power to dramatically alter the competitive landscape of industries just within the next year, and are investing accordingly…” (my emphasis).

84% said Big Data analytics “has the power to shift the competitive landscape for my industry” within just the next year, and 93% said they feared new competitors will enter the field to leverage data.  Wow: talk about short-term priorities!

It’s clear the authors believe the transformation will begin with Big Data initiatives, which, IMHO, companies should be starting anyways to better analyze the growing volume of data from conventional sources. 73% of the companies already are investing more than 20% of their overall tech budget on Big Data analytics — and some spend more than 30%! 80 to 90% said Big Data analytics was either the company’s top priority or at least in the top 3.

One eye-opening finding was that 53% of respondents said their board of directors was pushing the IoT initiatives. Probably makes sense, in that boards are expected to provide necessary perspective on the company’s long-term health.

GE and Accenture present a  4-step process to capitalize on the IoT:

  1. Start with the exponential growth in data volumes
  2. Add the additional data volume from the IoT
  3. Add growing analytics capability
  4. and, to add urgency, factor in “the context of industries where equipment itself or patient outcomes are at the heart of the business” where the ability to monitor equipment or monitor patient services can have significant economic impact and in some cases literally save lives [nothing like throwing the fear of God into the mix to motivate skeptics!].
For many companies, after implementing Big Data software, the next step toward realizing immediate IoT benefits is by installing sensors to monitor the status of operating assets and be able to implement “predictive maintenance,” which cuts downtime and reduces maintenance costs (the report cites some impressive statistics: ” .. saving up to 12 percent over scheduled repairs, reducing overall maintenance costs up to 30 percent, and eliminating breakdowns up to 70 percent.” What company, no matter what their stance on the IoT, wouldn’t want to enjoy those benefits?). The report cites companies in health care, energy and transportation that are already realizing benefits in this area.
Music to my ears was the emphasis on breaking down data-sharing barriers between departments, the first time I’ve seen substantiation of my IoT “Essential Truth” that, instead of hoarding data — whether between the company and supply-chain partners or within the company itself — that the IoT requires asking “who else can use this data?” It said that: “System barriers between departments prevent collection and correlation of data for maximum impact.” (my emphasis). The report went on to say:

“All in all, only about one-third of companies (36 percent) have adopted Big Data analytics across the enterprise. More prevalent are initiatives in a single operations area (16 percent) or in multiple but disparate areas (47 percent)…. The lack of an enterprise-wide analytics vision and operating model often results in pockets of unconnected analytics capabilities, redundant initiatives and, perhaps most important, limited returns on analytics investments.”

Most of the companies surveyed are moving toward centralization of data management to break down the silos. 49% plan to appoint a chief analytics officer to run the operation, and most will hire skilled data analysts or partner with outside experts (insert Accenture here, LOL…).

The GE/Accenture report also stressed that companies hoping to profit from the IoT also must create end-to-end security. Do do that, it recommended a strategy including:
  1. assess risks and consequences
  2. develop objectives and goals
  3. enforce security throughout the supply chain.
  4. use mitigation devices specifically designed for Industrial Control Systems
  5. establish strong corporate buy-in and governance.

For the longer term, the report also mentioned a consistent theme of mine, that companies must begin to think about dramatic new business models, such as substituting value-added services instead of traditional sales of products such as jet engines.  This is a big emphasis with GE.  It also emphasizes another issue I’ve stressed in the “Essential Truths,” i.e. partnering, as the mighty GE has done with startups Quirky and Electric Imp:

“Think of the partnering taking place among farm equipment, fertilizer, and seed companies and weather services, and the suppliers needed to provide IT, telecom, sensors, analytics and other products and services. Ask: ‘Which companies are also trying to reach my customers and my customers’ customers? What other products and services will talk to mine, and who will make, operate and service them? What capabilities and information does my company have that they need? How can we use this ecosystem to extend the reach and scope of our products and services through the Industrial Internet?'”

While the GE/Accenture report dwelt only on large corporations, I suspect that many of the same findings would apply to small-to-medium businesses as well, and that the falling prices of sensors and IoT platforms will mean more smart companies in this category will begin to launch incremental IoT strategies to first optimize their current operations and then make more radical changes.

Read it, or be left in the dust!


PS: as an added bonus, the report includes a link to the GE “Industrial Internet Evaluator,” a neat tool I hadn’t seen before. It invites readers to “see how others in your field are leveraging Big Data analytics for connecting assets, monitoring, analyzing, predicting and optimizing for business success.” Check it out!

IoT ideal example of “recombinant innovation”!

I’m currently reading Erik Brynjolfsson (say that one fast three times…) and Andy McAfee’s brilliant The Second Machine Age, which I highly recommend as an overview of the opportunities and pitfalls of what they call “brilliant technologies.”

While they don’t specifically mention the IoT, I was riveted by one section in which they contrasted current digital innovation with past technologies, using economist Paul Romer‘s term “recombinant innovation”:

Economic growth occurs whenever people take resources and rearrange them in ways that make them more valuable…. Every generation has perceived the limits to growth that finite resources and undesirable side effects would pose if no new … ideas were discovered. And every generation has underestimated the potential for finding new … ideas. We consistently fail to grasp how many ideas remain to be discovered… Possibilitities do not merely add up, they multiply.” (my emphasis)

I felt like Dr. Pangloss, who was surprised to learn he’d been speaking prose all his life: I realized Romer’s term and definition was a more elegant version of what I’ve written before, especially about IFTTT, about an Essential Truth of the IoT — that sharing data is critical to achieving the IoT’s full potential. IFTTT is a great example of Romer’s argument in practice: individuals are “taking resource and rearrang(ing) them in ways that make them more valuable.” As Brynjolfsson and McAfee write:

“.. digital innovation is recombinant innovation in its purest form. Each development becomes a building block for future innovations. Progress doesn’t run out; it accumulates. And the digital world doesn’t respect any boundaries. It extends into the physical one, leading to cars and planes that drive themselves, printers that make parts, and so on….We’ll call this the ‘innovation-as-building-block’ view of the world..” (again, my emphasis)

This is such a powerful concept. Think of Legos — not those silly ones that dominate today, where they are so specialized they can only be used in making a specific kit — but the good ol’ basic ones that could be reused in countless ways. It’s why I happen to believe that all the well-thought-out projections on the IoT’s potential size probably are on the low side: there’s simply no way that we can predict now all the creative, life-saving, money-saving, or quality-of-life-enhancing ways the IoT will manifest itself until people within and outside of organizations take new IoT devices and use them in IFTTT-like “Recipes” that would never have occurred to the devices’ creators.  But beware: none of this will happen if companies use proprietary standards or don’t open their APIs and other tools to all those who can benefit.

How exciting!

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Apple Watch: killer app for IoT and lynchpin for “smart aging”

Wow: glad I put up with all of the tech problems during the Apple product launch today: the Apple Watch was worth it! It really seems as if it will be the killer device/app for the Internet of Things consumer market, and I think it may also be the lynchpin for my vision of “smart aging,” which would link both wearable health devices and smart home devices.

The elegant, versatile displays (it remains to be seen how easy it will be for klutzes like me to use the Digital Crown and some of the other navigation tools) plus the previously announced Health and Home Apps that are part of iOS 8 could really be the glue that brings together Quantified Self and smart home devices, making “smart aging” possible.

Activity AppIt will take some time to learn all about the watch and to see what apps the “Watch Kit” spawns, but here are some immediate reactions:

  • sorry, but I think it could kill the Lechal haptic shoes before they get off the ground: why have to pay extra for shoes that will vibrate to tell you where to go when your watch can do the same thing with its “Taptic Engine”?
  • I think I’ll also ditch my Jawbone UP, as much as I love it, for the Apple Watch: the video on how the Activity and Workout apps will work makes it look incredibly simple to view your fitness data instantly, vs. having to open an app on your phone.
  • (Just dreaming here): if they can pull off that neat “Milanese Loop” band on one of the versions that clamps to itself, what about not just a heart beat monitor, but a band that converts into a blood-pressure cuff? Guess that wouldn’t be accurate on the wrist, anyway, huh?

Why It’s So Hard to Predict Internet of Things’ Full Impact: “Collective Blindness”

I’ve been trying to come up with a layman’s analogy to use in explaining to skeptical executives about how dramatic the Internet of Things’ impact will be on every aspect of business and our lives, and why, if anything, it will be even more dramatic than experts’ predictions so far (see Postscapes‘ roundup of the projections).

See whether you thing “Collective Blindness” does justice to the potential for change?

 

What if there was a universal malady known as Collective Blindness, whose symptoms were that we humans simply could not see much of what was in the world?

Even worse, because everyone suffered from the condition, we wouldn’t even be aware of it as a problem, so no one would research how to end it. Instead, for millennia we’d just come up with coping mechanisms to work around the problem.

Collective Blindness would be a stupendous obstacle to full realization of a whole range of human activities (but, of course, we couldn’t quantify the problem’s impact because we weren’t even aware that it existed).

Collective Blindness has been a reality, because vast areas of our daily reality have been unknowable in the past, to the extent that we have just accepted it as a condition of reality.

Consider how Collective Blindness has limited our business horizons.

We couldn’t tell when a key piece of machinery was going to fail because of metal fatigue.

We couldn’t tell how efficiently an entire assembly line was operating, or how to fully optimize its performance.

We couldn’t tell whether a delivery truck would be stuck in traffic.

We couldn’t tell exactly when we’d need a parts shipment from a supplier, nor would the supplier know exactly when to do a new production run to be read.

We couldn’t tell how customers actually used our products.

That’s all changing now. Collective Blindness is ending, …. and will be eradified by the Internet of Things.

What do you think? Useful analogy?

Another compelling reason for “precision manufacturing”: saving planet

In the space of an hour today I heard a horrifying show on On Point about how the planet is going to hell in a handbasket, then had a very inspiring lunch with Michael Woody of American Dragon, which shows businesses how to bring manufacturing jobs back to the US through a formula of Fewer, Faster, Finer. My takeaway was that the vision I’ve expressed before of creating an “era of precision manufacturing” through the Internet of Things could be the vehicle to both bring back manufacturing jobs to the US (and localities elsewhere across the globe) and to save the planet, making it even more compelling. As I’ve written before, IoT-enabled manufacturing has a wide variety of benefits for manufacturers:

  • unprecedented integration of the factory and both supply chain and distribution network.
  • optimizing production through real-time monitoring and adjustment of assembly line.
  • the potential to speed product introduction and revision through rapid feedback from the field about how the products are actually used.
  • improving decision-making through shared real-time data.

add to those a number of other energy and environmental benefits and you’ve got a really compelling case for “precision manufacturing”:

  • reduced energy consumption through smart grid technologies that allow the plant to have two-way communication with the energy supplier, so energy is supplied in the precise amount needed and precisely when and where it is needed.
  • vastly reduced transportation costs: instead of a supplier in China, you are supplied exactly when you need additional supplies by a local company that shares real-time data on your production output. Similarly, you distribution network knows exactly when and where to distribute the product.
  • lower waste and smaller material needs: a key component of “precision manufacturing” is additive production via 3-D printing, which builds up a product precisely, rather than traditional reductive manufacturing, which trims away excess material from a blank.

“Precision manufacturing” through the IoT: not just better for your bottom line, but also a great way to reduce our growing environmental hazards!

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Wearables: love these new shoes that tell you where to go!

Wow! What if you were blind, and instead of a white cane, your shoes gave you directions? Or, even for people with no disabilities, you were navigating a strange city, and instead of having to constantly check Google Maps, your shoes showed the way? Pretty neat!

Lechal sensor shoe

Check out the snazzy new Lechal shoe from India’s Ducere Technologies.

The shoe, also available as an insert that can go in your own plain-vanilla shoes, was invented by two young US-educated Indian entrepreneurs, Krispian Lawrence and Anirudh Sharma, who had a vision (ooops!) of using technology to help the visually impaired.

It’s billed as the “world’s first interactive haptic footware” (bet your mom would be shocked if she knew you were wearing haptic footware, eh?).  When synched to the Lechal smartphone app, it vibrates to tell you which way to go.

And the water-resistant, breathable and anti-bacterial shoes have other features: “For those with 20/20 vision or near they are still useful – they can also calculate routes, steps taken, distance covered and calories burn to monitor workouts.”

I can see these as a critical tool for seniors as part of my “smart aging” paradigm as well, especially for those with dementia or Alzheimers.

As with other Quantified Self devices, you can share your walking and other data with friends via the device.

Here’s a cool feature: it claims to have the “world’s first interactive charger”: it gives audio feedback if you snap your fingers, and beeps to tell you the progress of charging, and the charger can be used as a fast charger for most phones, cutting down on the number of chargers you have to ride herd on.

Oh, BTW, Ducere gets extra points in my book because they don’t take themselves too seriously. To wit, “The technology that powers the shoe is embedded in its sole (pun intended).”

et. al.: Dramatic Proof Non-Violence Trumps Armed Revolt!

Posted on 21st August 2014 in Uncategorized

If you came here today to learn about the latest IoT breakthrough, chill out: there are more important issues than technology, and this is certainly one of them!

In case you’ve had your head down all summer working on your new app or IoT device, the world is quickly going to hell in a hand basket, with violence from Ferguson, MO to The Ukraine.

Isn’t there a better way to handle our conflicts?

In fact, there is: non-violent protest, and, for those of you who share my passion for data, there are hard numbers to back up my contention!

NPR had a story this morning about a great new book from Columbia University Press, by Erica Chenoweth and Maria J. Stephan, Why Civil Resistance Works: the Strategic Logic of Nonviolent Conflict. It studied conflicts from more than 100 years and shows that non-violence is not only twice as effective as violent uprisings in achieving the protestors’ goals, but ushers in more stable peace afterwards. Here’s how the book blurb summarizes their findings:

For more than a century, from 1900 to 2006, campaigns of nonviolent resistance were more than twice as effective as their violent counterparts in achieving their stated goals. By attracting impressive support from citizens, whose activism takes the form of protests, boycotts, civil disobedience, and other forms of nonviolent noncooperation, these efforts help separate regimes from their main sources of power and produce remarkable results, even in Iran, Burma, the Philippines, and the Palestinian Territories.

“Combining statistical analysis with case studies of specific countries and territories, Erica Chenoweth and Maria J. Stephan detail the factors enabling such campaigns to succeed and, sometimes, causing them to fail. They find that nonviolent resistance presents fewer obstacles to moral and physical involvement and commitment, and that higher levels of participation contribute to enhanced resilience, greater opportunities for tactical innovation and civic disruption (and therefore less incentive for a regime to maintain its status quo), and shifts in loyalty among opponents’ erstwhile supporters, including members of the military establishment. 

“Chenoweth and Stephan conclude that successful nonviolent resistance ushers in more durable and internally peaceful democracies, which are less likely to regress into civil war. Presenting a rich, evidentiary argument, they originally and systematically compare violent and nonviolent outcomes in different historical periods and geographical contexts, debunking the myth that violence occurs because of structural and environmental factors and that it is necessary to achieve certain political goals. Instead, the authors discover, violent insurgency is rarely justifiable on strategic grounds.”

Chenoweth & Stephan compiled data from 323 campaigns from Gandhi’s campaign beginning in 1919 to the protests that ousted Thai PM Thanksin Shinawatra in 2006. “This global data set covers all known nonviolent and violent campaigns (each featuring at least 1,000 observed participants) for self-determination, the removal of an incumbent leader, or the expulsion of a foreign military occupation from 1900 to 2006. The data set was assembled using thousands of source materials on protest and civil disobedience, expert reports and surveys, and existing records on violent insurgencies.” 

I’ve got this stuff on the brain right now because I’m reviewing my oldest’s dissertation proposal, which deals with whether bottom-up, community-based counter-insurgency military strategies might not be better than top-down, central government-centered ones. It seems to me that these are variations on the same theme.

In a companion article in the current issue of Foreign Affairs, “Drop Your Weapons: when and why civil resistance works,” Chenoweth & Stephan wrote:

Contrary to conventional wisdom, no social, economic, or political structures have systematically prevented nonviolent campaigns from emerging or succeeding. From strikes and protests to sit-ins and boycotts, civil resistance remains the best strategy for social and political change in the face of oppression. Movements that opt for violence often unleash terrible destruction and bloodshed, in both the short and the long term, usually without realizing the goals they set out to achieve. Even though tumult and fear persist today from Cairo to Kiev, there are still many reasons to be cautiously optimistic about the promise of civil resistance in the years to come.” (my emphasis)

But what of outside players, especially the US? They suggest that, rather than a knee-jerk response of sending in our troops to support protestors, that there may be a more successful response: “a ‘responsibility to assist’ nonviolent activists and civic groups well before confrontations between civilians and authoritarian regimes devolve into violent conflicts.” Are you reading, Sec. Kerry & President Obama? Chenweth & Stephan suggest:

“Policymakers should prioritize a ‘responsibility to assist’ nonviolent activists and civic groups, rather than only seeking to protect civilians through military force, as in NATO’s Libya intervention. Of course, civil resistance campaigns are and must remain homegrown movements. But in recent years, the international community has done much to undermine civil resistance by quickly and enthusiastically supporting armed actors when they arrive on the scene. Syria’s tragedy is a case in point. Although regime repression, supported by Iran and Russia, undoubtedly helped turn a principally nonviolent uprising into a civil war, external actors could have done more to aid civil resistance and prolong the original nonviolent uprising. They could have helped encourage, coordinate, and exploit for political gain regime defections (including from key Alawite elites); demanded that Assad allow foreign journalists to remain in the country; accelerated direct financial support to grass-roots nonviolent networks and local councils; and provided more information to Syrian activists about what it takes to remain nonviolent under highly repressive conditions. Instead, the international community provided political recognition and sanctuary to armed actors, supplied both nonlethal and lethal aid to them, and helped militarize the conflict, undermining the momentum of the nonviolent movement. There was no silver bullet for effectively aiding the nonviolent Syrian opposition. But speed and coordination on the part of external actors, particularly early on in the revolution, were lacking.

Syria highlights the moral and strategic imperative of developing more flexible, nimble ways to support nonviolent resistance movements. The local champions of people power will continue to chart their own future. But outside actors have an important role to play in assuring that civil resistance has a fighting chance.”

Chenoweth & Stephan offer an explanation based on their studies, of the logic — which I find compelling — about why mass protests are more effective.

Unlike armed resistance, which scares the daylights out of a lot of rational people who might take part in peaceful protests (duh!), non-violence attracts “a larger and more diverse base of participants [in the NPR interview they specifically mentioned the large numbers of women who play a prominent role in protests. Shoot your mom? Not so fast..].” They find three common elements in effective campaigns: “… they enjoy mass participation, they produce regime defections, and they employ flexible tactics.”  The big campaigns just bring daily life to a messy halt that’s hard to overcome: “When large numbers of people engage in acts of civil disobedience and disruption, shifting between concentrated methods such as protests and dispersed methods such as consumer boycotts and strikes, even the most brutal opponent has difficulty cracking down and sustaining the repression indefinitely.”  As one soldier they quoted in the NPR story said about why he defied orders to shoot point-blank at protesters, he was afraid he’d be shooting his own kids! And it’s not just soldiers who turn: the elites who keep things running also turn, and things quickly grind to a stop.

They also stress that the successful non-violent campaigns take a lot of planning, and usually play out over a number of years, gradually gaining strength.

The strategy doesn’t always work, but even then, not all is lost over the long haul:

“…. from 1900 to 2006, countries that experienced failed nonviolent movements were still about four times as likely to ultimately transition to democracy as countries where resistance movements resorted to violence at the outset. Nonviolent civic mobilization relies on flexibility and coalition building — the very things that are needed for democratization.”

They also look closely at some of the current examples that seem to undercut the argument for non-violence, namely, Libya, Egypt, and Syria. I thought the Syrian situation was particularly relevant, because massive civil disobedience never really got off the ground before violence broke out, undercutting widespread support among the general public:

taking up arms against the Assad regime’s inevitable brutality destroyed any chance of maintaining the open support for the Syrian opposition on the part of significant numbers of Alawites, Christians, and Druze — minorities who were represented among the nonviolent movement and were crucial to any inclusive, successful civil resistance. The subsequent civil war has alienated many former participants in and supporters of the revolution, and in many ways, it has fortified the regime. And the costs have been enormous.”

I urge you to read the entire Foreign Affairs article. When I can, I’m going to read the whole book.

I’ve done a lot of things that I’m proud of over my career, but none that makes me more proud than the first thing I did as an adult: going through the arduous process of being classified as a conscientious objector during Vietnam and taking two years out of my career to do alternative service as a teacher in an anti-poverty program’s day-care center. Thank you, Haverford College, for gently instilling those values in me, and thank you, Erica Chenoweth and Maria Stephan, for this dramatic proof that non-violent protest works!

Now, back to our regularly-scheduled programming…

 

 

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Saving Lives With the Internet of Things: school lockdowns

Continuing with the meme of this morning’s post, that the real test of the IoT will be if it allows us to do something that we couldn’t do before, how about saving children’s lives as a good example of a new paradigm courtesy of the IoT?

I don’t believe in the NRA’s bizarre position that the way to avoid more school tragedies is to arm teachers (come to think of it, I don’t believe in anything the NRA proposes — if you do, sue me, I guess…) so it’s great to see that the Internet of Things (even better, a Massachusetts firm!) has stepped in with a non-violent solution allowing teachers to act immediately, without waiting for police, to protect their children.

This kind of solution is a particular passion of mine, since long-time readers of this blog know that I pioneered (as in October, 2001) using mobile devices for personal preparation for, and response to, terrorism and disaster situation.

According to Fast Company, Elerts has created Lock It Down™ and ELERTS Campus™, which allow teachers to trigger a lockdown from a smart phone or iPad app.

Among other features, Lock It Down™ includes great features for these high-pressure, instant-reaction situations:

  • Sharing: Transmits bi-directional information in seconds
  • Action: Can initiate a Lockdown with the press of a button
  • Options: Also offers Shelter in Place and Evacuate commands
  • Reporting: Text message, photos, and GPS map add context
  • Speed: Police see reports on their devices and can respond faster
  • Status: App includes “SkyWriter” for personal safety updates

Sweet!

ELERTS Campus™ is designed for colleges and larger campuses, and offers:

  • Reporting: Drop-down menu makes Report Type selection easy
  • Crowd-Sourcing: Message, photo, GPS map inform Security Dispatchers
  • Broadcast: Warnings can be broadcast to all students who use the app
  • Administration: The ELERTS EPICenter web console manages Reports
  • Alerts: ELERTS EPICenter allows 2-way chat with sender of original report
  • Virtual Monitoring: Users can activate “Escort Me” by pressing a button

These are just the kinds of tools that I dreamed of creating ten years ago, when all we had were the early Palm Pilots. What a great use of smart phones and the IoT!

The two programs are meant to be used in conjunction with the ALICE Training, as in Alert, Lock-down, Inform, Counter, and Evacuate.

Download the apps:

ELERTS Campus™ for iOS
ELERTS Campus™ for Android

 

 

 

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