that is the most complicated thing. from dataetre wind speeds. the final is coming up. that was cat hawkins, reporting from the tour de france. now, i can guarantee you none of those riders had a bike frame anything like this. not only is this incredibly light, just 600 grams, but it's loaded with technology. and it's being developed here in rural england, just by the duckpond. yes, just past the hartney whitney village green in a converted cow barn, an ex—rolls—royce aerodynamicist has designed this revolutionary new frame. stuart abbott has embedded sensors inside it which sends live data into the cloud to be analysed by cycling teams or casual cyclists alike. an accelerometer in the rear chain stay. also, temperature, pressure and humidity. the frame is made in a mould like this from many layers of this carbon composite. but on one layer of the composite, they print the circuitry for the sensors and the conductive pathways which sends the data around the frame. all of this is made from graphene. we have connected the sensors u

driven and the good reason. masses of datance, those insights are the key to energy efficiency, strategy and gains. we look at many things, we look at obviously heart rate, power data and their maximum power and their altitude and elevation gain. so we look at that and we see how the riders are building and we leveraged that darted to try and build them to be stronger and better in stage races. how is the data collected and transmitted? races. how is the data collected and transmitted ? that races. how is the data collected and transmitted? that is where these little devices come in. they may not look like much but this small devices on the back of every bike taking place in the two and it has actually been revolutionary. —— it may not. it then beams up to a following helicopter. it is then sent to the data truck real—time analytics. and this is where the magic happens, from bike to motorbike the helicopter to hear, this is where all the data from the tour de france is being stored. the data truck is where data is analysed, an

it is then sent to the data truck real—time analytics. rbike the helicopter to here, this is where all the data from the tour de france is being stored. the data truck is where data is analysed, enriched, and visualised for broadcasters and team. there is even enough data for machine learning algorithms to get to work. the depths of data analytics produced from simply a gps device is staggering. during the race, riders wear earpieces and following closely behind them is the data car, where the team analyst is analysing the data and feeding them live information. what happens in here? it is quite an important place, isn't it? if you imagine you are at nasa and trying to fly a rocket to the moon, when all the details come in and they can be from all directions, and we send out one message to the riders. hundreds of datasets are analysed, from competitor tactics to live course condition. so we analyse all of the climbs, the gradients of the climbs, the road surfaces, the width of the roads. if they are coming around the blind corner and there

and following closely behind them is the data car, where the team analyst is analysing the data and feedings quite an important place, isn't it? if you imagine you have a comms office. flying to the moon. you're at nasa and trying to buy a rocket to the moon, when all the details come in and they can be from all directions, and we send out one message to the riders. hundreds of datasets are analysed, from competitor tactics to live course condition. so we analyse all of the climbs, the gradients of the climbs, the road surfaces, the width of the roads. if they are coming around a blind corner and there is a pedestrian crossing, all of these things we try to identify. 0n the tour de france, with restrictions and sponsorship deals, we don't get any heart rate and power data, but we do get location, which is absolutely crucial because we can make decisions much, much quicker. ok, so we're in the race. this is happening, this is live. what are we saying to our riders? so, come on, serge, you have got 250 more metres. round the next corner, it's a hairpin. you can't see it, but it flattens off.

in addressing the data around suspension, we would like to know what data has been collected around students being sent out of the classroom, voluntary home suspension when the parents are being asked to keep a student home, how many times have police been called to sites for students? how can we capture the entire picture of what's going on at our schools with less than complete data? lastly, we would like to highlight the need for more representation of african american staff in the classroom and in supportive role does the our school site. a safe and supportive community can never exist if it doesn't hold a place for everyone in the community. and these issues were raised back in may when the joint advisory committees all reported here to the board of ed. just every single advisory committee agreed for the need for more implicit bias training. i went on-line for some data. we ha we have over 4600 staff members, yet only 1,000 people have been trained in safety care, and only 310 have been trained in implicit bias. that's 6.7% of our staff, and we wonder why 40% of the office discipline re

there, their willingness to share the data and the types of data they collect, some of the things i didn't put up include what network, maybe we track this gets a lot of calls from here. there is a lot of experience data. different providers will provide different amounts and quality of data. it is really difficult to say what is happening in the united states right now. >> another question from theudeiance? yes. -- the audience? yes, the gendalman in the blue shirt. -- gentleman in the blue shirt. >> you mentioned data is recorded if a call is made or received. my understanding is your phone registers at the tower in the network. is that an inaccurate depiction? is it not recorded in the same way? or separately? >> separate. the second one. yes, your phone will occasionally sort of scan and associate with a better tower, you are always trying to get the best stone service. your-- cell phone service. there are a probably a record of 2-3 towers on your phone but that is not stored in the network itself. when you associate with the network-- often times the network will have a rough idea of

of location data. on the one hand, third-party data on the other. the reasoning that goes on here, kennedy says the kind of information at issue is different in kind than the kind of information at issue in miller and smith, namely banking records, financial records, or telephone numbers. specifically, he highlights seven factors that go into the determination of how this is different. first, you have near-perfect recalls, unlike a nosy neighbor who looks out their neighbor and sees what you're doing, here you have perfect recall. this isn't so different from these other records. you have perfect recall of your financial records over time. second he says it is retroactive. you don't have to get a worn at the outset. it is all collected and then you retroactively go back and collect it. this is not different from financial records. these also go back in time and potentially for years. third, he says they are extensive. cell phone companies right now by their own admission decide to keep it for five years, coul

and the eu privacy shells is to protect data and the flow of the transatlantic data so people both sides of the atlantic could face grave uncertainty with the ability to leave business owners so do? support for enforcing the framework? >> absolutely. >> yes. >> yes. >> yes. >> and chairman the 2015 and 21t quarter 2018 all broke records for merger acquisition activity in the first quarter 2018 it increased 67% year% year over year research has found economic concentration increased of most economic sectors at the same time researchers have found entrepreneurs starting new businesses to overcome business closings that increasing concentrations cause for concern or evidence of declining competition in the economy? >> so that is one of the main focuses of the hearing precisely concerned is one of the things we want to get testimony about and make comments on. >> in other words it is an important focus of the hearing because based on what we see there is enough out there to be concerned that it is problematic. >> is there any correlation between rising concentration? >> not specifically some

and we would then do a process of data collection analysis. so combining the collision data that we have shared in the previous presentation but also collecting additional information. to nearby and approximate to these locations what are the speeds and the volumes looking like to capture a complete picture of what is going on in this neighborhood. and going into the community and working in direct communication with certain groups using workshops, using stakeholder interviews to really discuss with people as i have mentioned previously what they to see in the neighborhood. so maybe there's some things that we have missed and intersections that people avoid all together that are nonetheless important to look at. and we then have a draft proposal to bring back to the community and including the larger broader community bringing together open houses and just continuing to reach out to a lot of the same groups that we conducted outreach to in the first process. and we then lead to a project proposal, legislation and eventual construction. so we would see this as

a robot doesn't have to put the effort in. from data 20 kilometre windspeed. the final is coming up. that is it for the short cut of click for this week. don't forget the full—length version is up on iplayer for you to watch right now, if you fancy. and ypu can follow us on twitter and facebook throughout the week for loads of tech news and behind—the—scenes photos too. thanks for watching and we'll see you soon. good evening. at last, a good spell of steady rain across most parts of the country. shame it coincided with the holiday weekend and some blustery conditions. the seas whipped up here in stornoway earlier but it wasn't grey skies all the way. plenty of sunshine in orkney and more of you finished the day with sunshine as the weather front that brought the rain pushed east. we still have an area of low pressure to the south of iceland, circulating cooler air into the north and west of the uk but the story this week shows that that circulation weakens. southerly winds develop and it will bring a bit more warmth to southern and eas

you have, the better. more data you have, the more accurately you can identify their location. to say whether that is better or not -- the important locations that i have put up on the slide, collected with less than a month of data. a few weeks of data is sort of all you need to get a rough estimate. the more that you have, the more people start frequently visiting locations, the more our algorithms can find that ping-pong between cells and can theally pull you away from locations, the more accurate they can be. but a couple of weeks of data is really sufficient to find the big locations, like home and work. home in particular sticks out like a sore thumb. work is not hard. once you get third, fourth, fifth, sixth, those get more and more difficult. laura: i know i said i was going to turn it over to the audience, but i have one more thing. have you seen map change over time? obviously you have been doing work with csli or whatever you want to call it four years. have you noticed a change in the density of the data

with it and also importantly what can't be done with the data. witwhat the limitations are as well. so, first and observation. communication is intrinsically tied with location. if you want information you have to give away location and this is true in any communication. it directly ties me to where i'm going to be. it's kind of less obvious with telephony. if i tell you i grew up and it was (301)162-1800, just to pick a number, i've given a lot of information about where i grew up. i told you i came from 262 so i grew up and in fact even told you that we had verizon growing up because 262 is specifically the verizon phone number. so you knew that i grew up there and from then on, th there on, r digits tell you the rest of the information. these two things are linked. now we don't use land lines. we use cell phones and they are not tied to anything. i'm not connected by a wire. it hasn't shifted even one little bit. once you make that connection and everything proceeds exactly the same as it always has. it goes through the network and then on the

and just held his summer sun sh in front of his face a built in infrared camera stands his irises the data and then compared with a recorded image of his iris on a smartphone this unlocked. i use the scanner a lot at first but i don't anymore because all i wanted to do was check the time and every time the phone would on lock itself obviously i wasn't keen on that. as well as being impractical they are a scanner in the samsung model is easy to outsmart as demonstrated by the hackers stop out from germany's chaos computer club. he takes a photo of his eye with an infrared camera and prints out that image on special paper to create a three d. effect in touchy. contact lens on to the paper then he just holds up a new image in front of the iris scan and in the blink of an eye the security mechanism has been cracked. you might be in a cafe or on a train you need literally a fraction of a second while the eye is open if you keep on filming the person's face with your camera eventually you'll get a decent iris image that you can use. and what about the i phone ten uses a don't map to the face ide

on this another risk the system records the uses biometric data both manufacturers claim that this is encrypted and secure directly on the phone but the user has no control over what actually happens with the data. the. phone makers have different approaches to the processing of biometric data apple officials its customers that the data will remain on the device if they wish so this is not the case with microsoft and samsung they could later use their data for other purposes and if you study the terms and conditions that would be possible in future. a further danger she says is that plain metric information is more sensitive than other data they can't be replaced like a phone number or address can perhaps using that good old pin is the safest option for unlocking your phone after all. shifts be where biometric identification. and now are shift ranking the most popular memes of twenty seventy as number five. t.v. cartoon characters sponge bob. every year google puts together a list of top names based on search data people use the sponge bob mean to make fun of childish behavior and eve

data. they will pay nothing so to the extent there is no incentive so now with this data is the markets and now they will pay more so if they want data from healthier people or those with language skills i have to pay more and that is what you want. so they also engage in advertising. a lot of people don't like it. i don't really have a proposal for addressing the problem. but what we do propose is that people should get together to form a data union. so through the mechanism of the independent third party will aggregate their data to send it to the third party like facebook or google and then they can act as a bargaining agent like a union with a platform on the other side and as long as the data goes through then if the company on the other side doesn't pay people or could use terms of service or violates people's privacy or so on. sonu institutions are developed and that would be a way to address some of the problems. >> thank you. >> first of all thank you for being here tonight. we enjoyed the conversation. they say that the idea that people consistently vote against their own interest

because the story was they were digitally savvy. that was data from facebook. it was a major international story and then they were working for the campaign and all these bad people. it was easy to se see that cambridge analytics is a bad actor stealing data and above a facebook data schemas that they stole the data instead of not caring who else go will scoff ah was the case. as facebook now has to deal with a series of crisis that strikes at the business. it is a series of glitches they just need to fix the edges. we are going to see over the next couple of years attempts to raise facebook but they are probably not going to go anywhere for some time. there is a determinism that you talked about once you implement the technology for certain outcomes and the optimism everything keeps getting better. can you talk about the idea -- >> technological determinism, one of my mentors years ago wrote this really important book and then another. he is very much a technological determinants. his mentor was marshall and the idea was of course and it i ands introducing the

the third area is data analysis. these are the recommendations. there should be increased strategic district activity levels to aid our strategic plan. once again a district team with input and feedback from our site leaders have identified key strategics and progress measures for pitch. i'll be talking about that in a few te

collected by the data sets. it obviously has pros and cons. let me quickly put two questions into one. given that they are asking for the participants to share about the lifestyle, how do you plan to ensure privacy and data security and are there protocols in place to share updates or study results for the participants? >> i will ask the deputy director regarding these issues to respond to your question. >> thank you for the question and thank you for having us here today. so, we are thrilled about where we are with the program, we have 86,000 participants, we know as we try to engage as a community of diverse participants up to 1 million or maybe even more, privacy is one of our most important priorities. all of the data comes into the data resource is encrypted and to be identified going into a secure place of research. they will have to provide a code of conduct and no data will be allowed to download it. i would like to think the committee for giving strong privacy protection within the act. including the cer

a robot doesn't have to put the effort in. from dataeed. the final is coming up. that's it for the shortcut of click for this week. don't forget the full—length version is up on iplayer for you to watch right now, if you fancy. and you can follow us on twitter and facebook throughout the week for loads of tech news and behind—the—scenes photos, too. thanks for watching and we'll see you soon. good evening. after the heat of recent weeks, the weather is much close to where it should be at this time of year. we have had the sun today but it has been much fresher and for some there have been some very nasty downpours indeed. parts of northern ireland had a month's worth of rain in the space of two hours which lead to flooding. it is all due to a shift in the jet stream position, which has now worked its way southwards across the uk bringing that fresher air. but we are going to see another area of low pressure developed a night under this curve of the jet stream. the other big story will be the wind. tonight some heavy rain pushing up acro

the map in a second. so what can we do with this data? what is the power of this data? there's a lot that we can do with it. we can put it on a map. so i created actually two fake users, the yellow user i spent a lot more time on because that was just -- i wanted to have one really talkative user and the pink one i just picked a few points and this is pretty common. people use phones in different ways and so we get a map that looks something like this and this is interesting already because it gives us information about -- this is on a map where somebody has made calls. there's more information that's hidden here because this tells us kind of where the users have moved around. the yellow user skrats more in the north, the pink user spreads out a little bit more. we can also ask questions about, did these users ever meet each other or were they in similar locations and, yeah, i designed this data, you know, for a talk, so, yeah, obviously. at two positions here i have the yellow user being in the same cell as the pink user. and so we can get information about was this use

case with microsoft and samsung they could later use the data for other purposes and if you study the terms and conditions that would be possible in future. a further danger she says is that plain metric information is more sensitive than other data they can be replaced like a phone number or address can pass using the good old pin is the safe option for unlocking your phone after all. sheriff says be well biometric identification. and now our shift ranking the most popular memes of twenty seventy as number five. t.v. cartoon characters sponge bob. every year google puts together a list of top means based on search data people use the sponge bob mean to make fun of childish behavior and even political leaders it's a huge hit. number for a skeptical looking dog wearing a cowboy hat it's called what in tarnation that southern u.s. slang for what the heck in this mean everyone or everything is wearing a cowboy hat. number three. i mean that starts the children's book character the elf on the shelf it's inspired similar rhyming titles like frog on the dog and obama on the llama. number tw

the second issue is data. we've seen the battle between the eu and the us over satan harder and clearly, what countries are concerned about is their data flow between the us and uk and in reality it shouldn't be that difficult because we hold to the same standards today. it's not as if the eu can change anything, but we have equivalents. there are policies where they might find obstacles so they're not quite adequate or we yet. i think there is one concern that the eu has with the uk government but if we could clarify, i think it should be in theory quite quickly resolved. >> let's talk about the privacy issue, the european privacy regulations went into effect and there's a question about whether the united states which is able to certify not meeting those obligations, they might not be able to without changes for us policy so how big concern is it that you think the eu and the us and the uk can reach an agreement on the privacy regime? >> i think all tech companies would agree it's essential but you've got pol

once the data gets down to the street level, they do their investigation, make arrests, refer people to drug courts and it is those partnerships to make those arrest and enforcement operations to take data and bring it back to our partners. >> one strategic partner we have in this is heida and they have a project called overdose maps. in simple terms, it is geo-locating the opioid overdoses. if an officer or first responder responds to an overdose, it is a simple app where they click and the data is collected. once it is collected, we use it for three things: using predictive analytics to say if there was a parcel, there may be always connected. and we get that information instantly from od maps . you can enter the parcel information. as soon as it is added, it goes directly to our team with access to all the data places we spoke of. >> right away, our first aspect is, can we save lives by finding additional parcels? we need to take those out. next, we focus our interdiction efforts by sending resources to those areas and take the drugs out of the mail. >> finally, we're having a lot

the data on your phone. that is why people want to find solutions to remain private. we are all complicated. the person we are in front of our loved is not the person we ones are in front of our romantic partner or people at work, or maybe even in this room. we are not hiding, but it is weird if you are acting like you are at the bar when you are in church. your phone knows all of you and cannot stop whispering as the inappropriate time to all parties. that is something we need to shut down, because nobody wants that. the supreme court, i guarantee you, nine justices, nine smartphones. i do not know who has the android, but nine smartphones, correct? does not make sense to have what i see as wonder woman shows up, truth lasso on you and you have to tell the truth, every location you were for the past seven days. one of those locations is going to seem shady to the right person. like, would you answer me if i said, tell me everywhere you are, you cannot lie, every minute for the past seven days. you would say,

data is good. then we will mathematically decide what is the best data. >> been on the commercial sites where you would make those decisions? >> there could be capabilities where somebody who has maybe a commercial radar or commercial telescope that is creating their own data that they could actually get data that the commerce department might not have or they could get data that even the dod might not have and then they could share that data with either or both. we don't want to limit the idea that only the government can do it. we need to have partners that can share. one of the challenges sometimes is that when you think about international data , they might not want to give it to strategic command. they might be willing to share data with commerce so that's a reason we need a civil authority doing this rather than simply department of defense. it's a lot like nasa but a lot of countries around the world will partner with united states air force but they love to partner with nasa because we are a separate space agency capable of doing science and technology apart from any kind of military capability

i think what people don't realize is data follows them around all of the time. re constantly generating data from what light switches we turn on, if we have a networked home, to when we turn our nest thermostat, to when we plug in our ev car. christy wyatt: you know, i meet someone, i remember their name, i write their name down, i put their name in a system, now it's data, right? and so, it's happening constantly, all the time. the thing that's changed is that data has become a form of currency, and so, with currency comes rules, and regulations, and risks, and concerns. so, it's a new world. laura: i have a question, since some privacy rules are changing in europe, and some of the u.s. companies are changing their u.s. policies as a result. the one part of these privacy policies that we constantly find covers sort of a wide range of activity that, for the consumer and a report is always hard to figure out is the one where it says we may share your information with third parties to make the service better for marketing, and it's just this kind of blanket stateme

that resides in the resource integration. that data will represent a whole entire representation of employees that will feed into all of the systems we are talking about whether it is health benefits, retirement, transfers, promotions. the records are very paper-based so we are starting with that and about a year or year and a half we will hav have been demonstrad capabilitthem demonstratethe cam there we will t will test out te capabilities and parallel building up a test cases for transferring an employee from active to a retired employee in about a year and a half or two. >> and that is all done by a single office distributed agent he was in actions on how to do it in other words going through the case of does this become a team of folks trying to type it in order as each agency of the responsibility to say the system wsave thesystem we are going toe data into the system? >> there are multiple forms per instance of payroll information and the retirement system itself requires 188 data elements to process retirement. we are going tow

, then the location data can be given. that might be like, there is a super shady guy named matt, please wake up, we need this warrant. so i do not think that the speed bump is the same thing as blocking location data, which is my argument. so we should celebrate all of our victories, but let's not get too excited about this carpenter victory. we have a long way to go. now, private location data is in a stack of other data that tells me where you are. other things of value, including cell phone towers, simulators that are small devices that the cell phone connects to, gps traces, facial recognition and object recognition, we know about amazon recut mission program, and things like this, not to mention as disembodied, social media -- that is a huge problem for everyone. everything we do, including some of our websites that we visit, give away our location. all those things, they will have the same location data and there is a warrant behind those things. i was try to tell you some stories about how that breaks down and how i

coalition aircraft have launched as strikes on the yemeni city of the data the data is a strategically significant port on the red sea which is the main entry point for most of the countries food aid well those coalition strikes follow a claim by his the rebels that they have targeted abu dhabi air force on thursday and raised craig is an assistant professor at the defense studies department at king's college london he said it's difficult to establish what might have happened . if you look through social media if you look through the evidence that's out there so whatever the who these provide have provided as evidence cannot is fake it's basically these are photoshop images which you know have nothing to do with the reality. and in an equally the the usa you haven't done enough to provide evidence that it did not happen or provide an explanation that someone logically credible he explains the disruption of flights yesterday and the thing is here that the u.a.e. are a country that were known for false information and a country that really is very secretive about what's going on in that