A college course on identifying BS

Read an article the other day from Recode (These University of Washington professors teaching a course on Calling BS) that seems very timely. The syllabus is online (Calling Bullshit — Syllabus) and it looks like a great start on identifying falsehood wherever it can be found.

In the beginning, what’s BS?

The course syllabus starts out referencing Brandolini’s Bullshit Asymmetry Principal (Law): the amount of energy needed to refute BS is an order of magnitude bigger than to produce it.

Then it goes into a rather lengthy definition of BS from Harry Frankfort’s 1986 On Bullshit article. In sum, it starts out reviewing a previous author’s discussions on Humbug and ends up at the OED. Suffice it to say Frankfurt’s description of BS runs the gamut from: Deceptive misrepresentation to short of lying.

They course syllabus goes on to reference two lengthy discussions/comments on Frankfurt’s seminal On Bullshit article, but both Cohen’s response, Deeper into BS and Eubank & Schaeffer’s A kind word for BS: …  are focused more on academic research rather than everyday life and news.

How to mathematically test for BS

The course then goes into mathematical tests for BS that range from Fermi’s questions, the Grim Test and Benford’s 1936 Law of Anomalous Numbers. These tests are all ways of looking at data and numbers and estimating whether they are bogus or not. Benford’s paper/book talks about how the first page of logarithms is always more used than others because numbers that start with 1 are more frequent than any other number.

How rumors propagate

The next section of the course (week 4) talks about the natural ecology of BS.

Here there’s reference to an article by Friggeri, et al, on Rumor Cascades, which discusses the frequency with which patently both true, false and partially true/partially false rumors are “shared” on social media (Facebook).

The professors look at a website called Snopes.com which evaluates the veracity of publishes rumors uses this to classify the veracity of rumors. Next they examine how these rumors are shared over time on Facebook.

Summarizing their research, both false and true rumors propagate sporadically on Facebook. But even verified false or mixed true/mixed false rumors (identified by Snopes.com) continue to propagate on Facebook. This seems to indicate that rumor sharers are ignoring the rumor’s truthfulness or are just unaware of the Snopes.com assessment of the rumor.

Other topics on calling BS

The course syllabus goes on to causality (correlation is not causation, a common misconception used in BS), statistical traps and trickery (used to create BS), data visualization (which can be used to hide BS), big data (GiGo leads to BS), publication bias (e.g., most published research presents positive results, where’s all the negative results research…), predatory publishing and scientific misconduct (organizations that work to create BS for others), the ethics of calling BS (the line between criticism and harassment), fake news and refuting BS.

Fake news

The section on Fake News is very interesting. They reference an article in the NYT, The Agency about how a group in Russia have been reaping havoc across the internet with fake news and bogus news sites.

But there’s more another article on NYT website, Inside a fake news sausage factory, details how multiple websites started publishing bogus news and then used advertisement revenue to tell them which bogus news generated more ad revenue – apparently there’s money to be made in advertising fake news. (Sigh, probably explains why I can’t seem to get any sponsors for my websites…).

Improving the course

How to improve their course? I’d certainly take a look at what Facebook and others are doing to identify BS/fake news and see if these are working effectively.

Another area to add might be a historical review of fake rumors, news or information. This is not a new phenomenon. It’s been going on since time began.

In addition, there’s little discussion of the consequences of BS on life, politics, war, etc. The world has been irrevocably changed in the past  on account of false information. Knowing how bad this has been this might lend some urgency to studying how to better identify BS.

There’s a lot of focus on Academia in the course and although this is no doubt needed, most people need to understand whether the news they see every day is fake or not. Focusing more on this would be worthwhile.

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I admire the University of Washington professors putting this course together. It’s really something that everyone needs to understand  nowadays.

They say the lectures will be recorded and published online – good for them. Also, the current course syllabus is for a one credit hour course but they would like to expand it to a three to four credit hour course – another great idea

Comments?

Photo credit(s): The Donation of ConstantineNew York World – Remember the Maine, Public Domain; Benjamin Franklin’s Bag of Scalps letter;  fake-news-rides-sociales by Portal GDA

Mixed progress on self-driving cars

Read an article the other day on the progress in self-driving cars in NewsAtlas (DMV reports self-driving cars are learning — fast). More details are available from their source (CA [California] DMV [Dept. of Motor Vehicles] report).

The article reported on what’s called disengagement events that occurred on CA roads. This is where a driver has to take over from the self-driving automation to deal with a potential mis-queue, mistake, or accident.

Waymo (Google) way out ahead

It appears as if Waymo, Google’s self-driving car spin out, is way ahead of the pack. It reported only 124 disengages for 636K mi (~1M km) or ~1 disengage every ~5.1K mi (~8K km). This is ~4.3X better rate than last year, 1 disengage for every ~1.2K mi (1.9K km).

Competition far behind

Below I list some comparative statistics (from the DMV/CA report, noted above), sorted from best to worst:

  • BMW: 1 disengage 638 mi (1027 km)
  • Ford: 3 disengages for 590 mi (~950 km) or 1 disengage every ~197 mi (~317 km);
  • Nissan: 23 disengages for 3.3K mi (3.5K km) or 1 disengage every ~151 mi (~243 km)
  • Cruise (GM) automation: had 181 disengagements for ~9.8K mi (~15.8K km) or 1 disengage every ~54 mi (~87 km)
  • Delphi: 149 disengages for ~3.1K mi (~5.0K km) or 1 disengage every ~21 mi (~34 km);

There was no information on previous years activities so no data on how competitors had improved over the last year.

Please note: the report only applies to travel on California (CA) roads. Other competitors are operating in other countries and other states (AZ, PA, & TX to name just a few). However, these rankings may hold up fairly well when combined with other state/country data. Thousand(s) of kilometers should be adequate to assess self-driving cars disengagement rates.

Waymo moving up the (supply chain) stack

In addition, according to a Recode, (The Google car was supposed to disrupt the car industry) article, Waymo is moving from a (self-driving automation) software supplier to a hardware and software supplier to the car industry.

Apparently, Google has figured out how to reduce their sensor (hardware) costs by a factor of 10X, bringing the sensor package down from $75K to $7.5K, (most probably due to a cheaper way to produce Lidar sensors – my guess).

So now Waymo is doing about ~65 to ~1000 X more (CA road) miles than any competitor, has a much (~8 to ~243 X) better disengage rate and is  moving to become a major auto supplier in both hardware and software.

It’s going to be an interesting century.

If the 20th century was defined by the emergence of the automobile, the 21st will probably be defined by dominance of autonomous operations.

Comments?

Photo credits: Substance E′TS; and Waymo on the road

 

Hitachi and the coming IoT gold rush

img_7137Earlier this week I attended Hitachi Summit 2016 along with a number of other analysts and Hitachi executives where Hitachi discussed their current and ongoing focus on the IoT (Internet of Things) business.

We have discussed IoT before (see QoM1608: The coming IoT tsunami or not, Extremely low power transistors … new IoT applications). Analysts and companies predict  ~200B IoT devices by 2020 (my QoM prediction is 72.1B 0.7 probability). But in any case there’s a lot of IoT activity going to come online, very shortly. Hitachi is already active in IoT and if anything, wants it to grow, significantly.

Hitachi’s current IoT business

Hitachi is uniquely positioned to take on the IoT business over the coming decades, having a number of current businesses in industrial processes, transportation, energy production, water management, etc. Over time, all these industries and more are becoming much more data driven and smarter as IoT rolls out.

Some metrics indicating the scale of Hitachi’s current IoT business, include:

  • Hitachi is #79 in the Fortune Global 500;
  • Hitachi’s generated $5.4B (FY15) in IoT revenue;
  • Hitachi IoT R&D investment is $2.3B (over 3 years);
  • Hitachi has 15K customers Worldwide and 1400+ partners; and
  • Hitachi spends ~$3B in R&D annually and has 119K patents

img_7142Hitachi has been in the OT (Operational [industrial] Technology) business for over a century now. Hitachi has also had a very successful and ongoing IT business (Hitachi Data Systems) for decades now.  Their main competitors in this IoT business are GE and Siemans but neither have the extensive history in IT that Hitachi has had. But both are working hard to catchup.

Hitachi Rail-as-a-Service

img_7152For one example of what Hitachi is doing in IoT, they have recently won a 27.5 year Rail-as-a-Service contract to upgrade, ticket, maintain and manage all new trains for UK Rail.  This entails upgrading all train rolling stock, provide upgraded rail signaling, traffic management systems, depot and station equipment and ticketing services for all of UK Rail.

img_7153The success and profitability of this Hitachi service offering hinges on their ability to provide more cost efficient rail transport. A key capability they plan to deliver is predictive maintenance.

Today, in UK and most other major rail systems, train high availability is often supplied by using spare rolling stock, that’s pre-positioned and available to call into service, when needed. With Hitachi’s new predictive maintenance capabilities, the plan is to reduce, if not totally eliminate the need for spare rolling stock inventory and keep the new trains running 7X24.

img_7145Hitachi said their new trains capture 48K data items and generate over ~25GB/train/day. All this data, will be fed into their new Hitachi Insight Group Lumada platform which includes Pentaho, HSDP (Hitachi Streaming Data Platform) and their Content Analytics to analyze train data and determine how best to keep the trains running. Behind all this analytical power will no doubt be HDS HCP object store used to keep track of all the train sensor data and other information, Hitachi UCP servers to process it all, and other Hitachi software and hardware to glue it all together.

The new trains and services will be rolled out over time, but there’s a pretty impressive time table. For instance, Hitachi will add 120 new high speed trains to UK Rail by 2018.  About the only thing that Hitachi is not directly responsible for in this Rail-as-a-Service offering, is the communications network for the trains.

Hitachi other IoT offerings

Hitachi is actively seeking other customers for their Rail-as-a-service IoT service offering. But it doesn’t stop there, they would like to offer smart-water-as-a-service, smart-city-as-a-service, digital-energy-as-a-service, etc.

There’s almost nothing that Hitachi currently supplies as industrial products that they wouldn’t consider offering in an X-as-a-service solution. With HDS Lumada Analytics, HCP and HDS storage systems, Hitachi UCP converged infrastructure, Hitachi industrial products, and Hitachi consulting services, together they are primed to take over the IoT-industrial products/services market.

Welcome to the new Hitachi IoT world.

Comments?

Blockchains at IBM

img_6985-2I attended IBM Edge 2016 (videos available here, login required) this past week and there was a lot of talk about their new blockchain service available on z Systems (LinuxONE).

IBM’s blockchain software/service  is based on the open source, Open Ledger, HyperLedger project.

Blockchains explained

1003163361_ba156d12f7We have discussed blockchain before (see my post on BlockStack). Blockchains can be used to implement an immutable ledger useful for smart contracts, electronic asset tracking, secured financial transactions, etc.

BlockStack was being used to implement Private Key Infrastructure and to implement a worldwide, distributed file system.

IBM’s Blockchain-as-a-service offering has a plugin based consensus that can use super majority rules (2/3+1 of members of a blockchain must agree to ledger contents) or can use consensus based on parties to a transaction (e.g. supplier and user of a component).

BitCoin (an early form of blockchain) consensus used data miners (performing hard cryptographic calculations) to determine the shared state of a ledger.

There can be any number of blockchains in existence at any one time. Microsoft Azure also offers Blockchain as a service.

The potential for blockchains are enormous and very disruptive to middlemen everywhere. Anywhere ledgers are used to keep track of assets, information, money, etc, that undergo transformations, transitions or transactions as they are further refined, produced and change hands, can be easily tracked in blockchains.  The only question is can these assets, information, currency, etc. be digitally fingerprinted and can that fingerprint be read/verified. If such is the case, then blockchains can be used to track them.

New uses for Blockchain

img_6995IBM showed a demo of their new supply chain management service based on z Systems blockchain in action.  IBM component suppliers record when they shipped component(s), shippers would record when they received the component(s), port authorities would record when components arrived at port, shippers would record when parts cleared customs and when they arrived at IBM facilities. Not sure if each of these transitions were recorded, but there were a number of records for each component shipment from supplier to IBM warehouse. This service is live and being used by IBM and its component suppliers right now.

Leanne Kemp, CEO Everledger, presented another example at IBM Edge (presumably built on z Systems Hyperledger service) used to track diamonds from mining, to cutter, to polishing, to wholesaler, to retailer, to purchaser, and beyond. Apparently the diamonds have a digital bar code/fingerprint/signature that’s imprinted microscopically on the diamond during processing and can be used to track diamonds throughout processing chain, all the way to end-user. This diamond blockchain is used for fraud detection, verification of ownership and digitally certify that the diamond was produced in accordance of the Kimberley Process.

Everledger can also be used to track any other asset that can be digitally fingerprinted as they flow from creation, to factory, to wholesaler, to retailer, to customer and after purchase.

Why z System blockchains

What makes z Systems a great way to implement blockchains is its securely, isolated partitioning and advanced cryptographic capabilities such as z System functionality accelerated hashing, signing & securing and hardware based encryption to speed up blockchain processing.  z Systems also has FIPS-140 level 4 certification which can provide the highest security possible for blockchain and other security based operations.

From IBM’s perspective blockchains speak to the advantages of the mainframe environments. Blockchains are compute intensive, they require sophisticated cryptographic services and represent formal systems of record, all traditional strengths of z Systems.

Aside from the service offering, IBM has made numerous contributions to the Hyperledger project. I assume one could just download the z Systems code and run it on any LinuxONE processing environment you want. Also, since Hyperledger is Linux based, it could just as easily run in any OpenPower server running an appropriate version of Linux.

Blockchains will be used to maintain the system of record of the future just like mainframes maintained the systems of record of today and the past.

Comments?

 

EMCWorld2015 Day 2&3 news

Some additional news from EMCWorld2015 this week:

IMG_4527 IMG_4528 IMG_4531EMC announced directed availability for DSSD, their Rack scale shared Flash storage solution using a PCIe3 (switched) fabric with 36 dual ported, flash modules, which hold 512 NAND chips for 144TB NAND flash storage. On the stage floor they had a demonstration pitting a  40 node Hadoop cluster with DAS against a 15 node Hadoop cluster using the DSSD, both running HIVE and working on the same Query. By the time the 40node/DAS solution got to about 2% of the query completion the 15node/DSSD based cluster had finished the query without breaking a sweat. They then ran an even more complex query and it took no time at all.

They also simulated a copy of a 4TB file (~32K-128K IOs) from memory to memory and it took literally seconds, then copied it to SSD that took considerably longer (didn’t catch how long but much longer than memory), and then they showed the same file copy to DSSD and it only took seconds, almost looked exactly a smidgen slower than the memory to memory copy.

They said the PCIe fabric (no indication what the driver was) provided much more parallelism to the dual ported flash storage that the system was almost able to complete the 4TB copy at memory to memory speeds. It was all pretty impressive, albeit a simulation of the real thing.

EMC indicated that they designed the flash modules themselves and expect to double capacity of the DSSD to 288TB shortly. They showed the controller board that had a mezzanine board over a part of it, but together had 12 major chips on it which I assume had something to do with the PCIe fabric. They said there were two controllers in the system for high availability and the 144TB DSSD was deployed in 5U of space.

I can see how this would play well for real time analytics, high frequency trading and HPC environments but there’s more to shared storage than just speed. Cost wasn’t mentioned neither was the software driver but with the ease with which it worked on the Hive query, I can only assume at some lever it must look something like a DAS device but with memory access times… NVMe anyone?

Project CoprHD was announced which open sourced EMC’s ViPR Controller software. Many ViPR customers were asking for EMC to open source ViPR controller, apparently their listening. Hopefully this will enable some participation from non-EMC storage vendors to allow their storage to be brought under the management of ViPR Controller. I believe the intent is to have an EMC hardened/supported version of Project CoprHD or ViPR Controller to coexist with the open source project version which anyone can download and modify for themselves.

A Non-production, downloadable version of ScaleIO was also announced. The test-dev version is a free download with unlimited capacity, full functionality and available for an unlimited time but only for non-production use.  Another of the demos onstage this morning was Chad configuring storage across a ScaleIO cluster and using its QoS services to limit the impact of a specific workload. There was talk that ScaleIO was available previously as a free download but it took a bunch of effort to find and download. They have removed all these prior hindrances and soon, if not today it’s freely available for anyone. ScaleIO runs on VMware and other hypervisors (maybe bare metal as well). So if you wanted to get your feet wet with software defined storage, this sounds like the perfect opportunity.

ECS is being added to EMC’s Data Lake foundation. Not exactly sure what are all the components in the data lake solution but previously the only Data Lake storage was Isilon based. This week EMC added Elastic Cloud Storage to the picture. Recall that Elastic Cloud Storage comes in either a software only or hardware appliance deployment and provides object storage.

I missed Project Liberty before but it’s a virtual VNX appliance, software only version.  I assume this is intended for ROBO deployments or very low end business environments. Presumably it runs on VMware and has some sort of storage limitations. It seems, more and more of EMC products are coming out in virtual appliance versions.

Project Falcon was also announced which is a virtual Data Domain appliance, software only solution, targeted for ROBO environments and other small enterprises. The intent is to have an onramp for DataDomain backup storage.  I assume runs under VMware.

Project Caspian – rolling out CloudScaling orchestration/automation for OpenStack deployments. On the big stage today, Chad and Jeremy demonstrated Project Caspian on a VCE VxRACK deploying racks of servers under OpenStack control. They were able within a couple of clicks define and deploy openstack on bare metal hardware and deploy applications to the OpenStack servers. They had a monitoring screen which showed the OpenStack server activity (transactions) in real time and showed an over commit of the rack and how easy it was to add a new rack with more servers. All this seemed to take but a few clicks. The intent is not to create another OpenStack distribution but to provide an orchestration/automation/monitoring layer of software on top of OpenStack to “industrialize OpenStack” for enterprise users. Looked pretty impressive to me.

I would have to say the DSSD box was most impressive. It would have been interesting to get an upclose look at the box with some more specifications but they didn’t have one on the Expo floor.

Existential threats

Not sure why but lately I have been hearing a lot about existential events. These are events that threaten the existence of humanity itself.

Massive Solar Storm

A couple of days ago I read about the Carrington Event which was a massive geomagnetic solar storm in 1859. Apparently it wreaked havoc with the communications infrastructure of the time (telegraphs). Researchers have apparently been able to discover other similar events in earth’s history by analyzing ice cores from Greenland which indicate that events of this magnitude occur once every 500 years and smaller events typically occur multiple times/century.

Unclear to me what a solar storm of the magnitude of the Carrington Event would do to the world as we know it today, but we are much more dependent on electronic communications, radio, electronic power, etc. If such an event were to take out, 50% of our electro-magnetic infrastructure, such as frying power transformers, radio transceivers, magnetic storage/motors/turbines, etc. civilization as we know it would be brought back to the mid 1800’s but with a 21st century population.

This would last until we could rebuild all the lost infrastructure, at tremendous cost. During this time we would be dependent on animal-human-water power, paper-optical based communications/storage, and animal-wind transport.

It appears that any optical based communication/computer systems would remain intact but powering them would be problematic without working transformers and generators.

One article (couldn’t locate this) stated that the odds of another Carrington Event happening is 12%  by 2022. But the ice core research seems to indicate that it should be higher than this. By my reckoning, it’s been 155 years since the last event, which means we are ~1/3rd of the way through the next 500 years, so I would expect the probability of a similar event happening to be ~1/3 at this point and rising slightly every year until it happens again.

Superintelligence

I picked up a book called Superintelligence: Paths, Dangers, Strengths by Nick Bostrom last week and started reading it last night. It’s about the dangers of AI gaining the ability to improve itself and after that becoming not just equivalent to Human Level Intelligence (HMLI) but greatly exceeding HMLI at a super-HMLI level (Superintelligent). This means some Superintelligent entity that would have more intelligence than our current population of humans today, by many orders of magnitude.

Bostrom discusses the take off processes that would lead to Superintelligence and some of the ways we could hope to control it. But his belief is that trying to install any of these controls after it has reached HMLI would be fruitless.

I haven’t finished the book but what I have read so far, has certainly scared me.

Bostrom presents three scenarios for a Superintelligence take off: slow take off, fast take off and medium take off. He believes that in a slow take off scenario there may be many opportunities to control the emerging Superintelligence. In a moderate or medium take off, we would know that something is wrong but would have only some limited opportunity to control it. In the fast take off (literally 18months from HMLI to Superintelligence in one scenario Bostrom presents), the likelihood of controlling it after it starts are non-existent.

The later half of Bostrom’s book discusses potential control mechanisms and other ways to moderate the impacts of superintelligence.  So far I don’t see much hope for mankind in the controls he has proposed. But l am only half way through the book and hope to see more substantial mechanisms in the 2nd half.

In the end, any Superintelligence could substantially alter the resources of the world and the impact this would have on humanity is essentially unpredictable. But by looking at recent history, one can see how other species have faired as humanity has altered the resources of the earth. Humanity’s rise has led to massive species die offs, for any species that happened to lie in the way of human progress.

The first part of Bostrom’s book discusses some estimates as to when the world will reach AI with HMLI. Most experts believe that we will see HMLI like this with a 90% probability by the year 2075 and a 50% probability by the year 2050. As for the duration of take off to superintelligence ,the expert opinions are mixed and he believes that they highly underestimate the speed of take off.

Humanity’s risks

The search for extra-terristial intelligence has so far found nothing. One of the parameters for the odds of a successful search was the number of inhabitable planets in the universe. But the another parameter is the ability of a technological civilization to survive long enough to be noticed – the likelihood of a civilization to survive any existential risk that comes up.

Superintelligence and massive solar storms represent just two such risks but there are a multitude of others that can be identified today, and tomorrow’s technological advances will no doubt give rise to more.

Existential risks like these are ever-present and appear to be growing as our technolgical prowess grows. My only problem is that today the study of existential risks seem at best, ad hoc today and at worst, outright disregard.

I believe the best policy is to recognize known existential risks, have some intelligent debate on how probably they are and how we could potentially check them. There really needs to be some systematic study of existential risks around the world bringing academics and technologists together to understand and to mitigate them. The threats to humanity are real, we can continue to ignore them, study a few that gain human interest, or actively seek out and mitigate all of them we can.

Comments?

Photo Credit(s): C3-class Solar Flare Erupts on Sept. 8, 2010 [Detail] by NASA Goddard’s space flight center photo stream

RoS video interview with Ron Redmer Sr. VP Cybergroup

Ray interviewed Ronald Redmer, Sr. VP Cybergroup at EMC’s Global Analyst Summit back in October. Ron is in charge of engineering and product management of their new document analytics service offering. Many of their new service offerings depend on EMC Federation solutions such as ViPR (see my post EMC ViPR virtues & vexations but no virtualization), Pivotal HD, and other offerings.

This was recorded on October 28th in Boston.

New Global Learning XPrize opens

Read a post this week in Gizmag about the new Global Learning XPrize. Past XPrize contests have dealt with suborbital spaceflight, super-efficient automobiles,  oil cleanup, and  lunar landers.

Current open XPrize contests include: Google Lunar Lander, Qualcomm Tricorder medical diagnosis, Nokia Health Sensing/monitoring and Wendy Schmidt Ocean Health Sensing. So what’s left?

World literacy

There are probably a host of issues that the next XPrize could go after but one that might just change the world is to improve children literacy.  According to UNESCO (2nd Global Report on Adult Learning and Education  [GRALE 2]) there are over 250M children of primary school age that will not reach grade 4 levels of education in the world, these children cannot read, write or do basic arithmetic. Given current teaching methods we would need an additional 1.6M teachers to teach all these children. As such, to teach all these children when we include teacher salaries, classroom spaces, supplies, etc. would be highly expensive. There has to be a better, more scaleable way to do this.

Enter the Global Learning XPrize. The intent of this XPrize is to create a tablet application which can teach children how to read, write and do rudimentary arithmetic in 18 months without access to a teacher or other supervised learning.

Where are they in the XPrize process?

The Global Learning XPrize already has raised $15M for the actual XPrize but they are using a crowd funding approach to fund the last $500K which will be used to field test the  Global Learning XPrize candidates. The crowd funding is being done on Indiegogo.

Registration starts now and runs through March 2015, Software development runs through September 2016, at which time five finalists will be selected, each will receive the $1M finalist XPrize to fund a further round of coding. In May of 2017, the five apps will be loaded onto tablets and field testing commences in June 2017 through December 2018. At which time the winner will be selected and will recieve the $10M XPrize.

What other projects have been tried?

I once read an article about the  Hole in the wall computer, where NIIT and their technologists placed an outside hardened, internet connected computer inside a brick wall  in an Indian underprivileged area. The intent was to show that children could learn how to use computers on their own, without adult supervision. Within days children were able to “browse, play games, create documents and paint pictures” on the computer. So minimally invasive education (MIE) can be made to work.

Whats the hardware environment going to look like

There’s no reason that an Android tablet would be any worse and potentially could be much better than a internet connected computer.

Although the tablets will be internet connected it is assumed that the connection will be not always on so the intent is that the apps run standalone as much as possible. Also, I believe that a child will be given a tablet which will be for their exclusive use during the 18 months. The Global Learning XPrize team will insure that there are charging stations where the tablets can be charged once/day but we shouldn’t assume that they can be charged while they are being used.

How are the entries to be judged

The finalists will be judged against EGRA (early grade reading assessment), EGWA (early grade writing assessment), and EGMA (early grad math assessment). The chosen language is to be English and the intent is to use children in countries which have an expressed interest in using English. The Grand winner will be judged to have succeeded if its 7 to 12 year old students can score twice as as well on the EGRA, EGWA and EGMA as a control group. [Not sure what a control group would look like for this nor what they would be doing during the 18 months]. For more information checkout the XPrize guidelines v1 pdf.

The assumption is that there will be about 30 children per village and enough villages will be found to provide a statistically valid test of the five learning apps against a control group.

At the end of all this the winning entry and the other four finalists will have their solutions be open sourced, for the good of the world.

Registration is open now…

Entry applications are $500. Finalists win $1M and the winner will take home $10M.

I am willing to put up the $500 application fee for the Global Learning XPrize. Having never started an open source project, never worked on developing an Android tablet application, or done anything other than some limited professional training this will be entirely new to me – so it should be great fun.  I am thinking of creating a sort of educational video game  (yet another thing I have no knowledge about, :).

We have until March of 2015 to see if we can put a team together to tackle this. I think if I can find four other (great) persons to take this on, we will give it a shot. I hope to enter an application by February of 2015, if we can put together a team by then to tackle this.

Anyone interested in tackling the Global Learning XPrize as an open source project from the gitgo, please comment on this post to let me know.

Photo Credit(s): Kid iPad outside by Alice Keeler