this is what they collect data and decipher the data. i think what was interesting looking at the analysis is afghanistan only 2% of women thought they were thriving in that country. it is incredibily tragic. so it shows -- >> it's tragic but not something that you sort of could not tell from reading what is going on there. >> but it's been so quiet for so long talking about the situation of the women being affected in afghanistan. that these types of numbers help bring to light what is happening in the countries. and in afghanistan, or in the middle east. so it's i find it to be something that is necessary. i think it helps the leaders to help figure out what their populations need and what they can do to help. some of the leaders in these countries don't necessarily help these women. i mean but we have been collecting data about poverty in the united states for well over half a century maybe a century closer to a century. we still haven't won the war against poverty and we have not moved the meter that much. >> bonnie, no better exampl

where data -- data is a drug. and we're adetectived to it. we can't get enough data. we want meaningful actionable data. so we've parts nered with cms and started to show them how the current data sets they have don't get them the answer they want and we're showing them more meaningful data sets. and where we need help is how do we actually expand this infrastructure beyond 500 hospitals and 4,000 hospitals. how do we ling this beyond surgery into surgery in primary care across the patient continue yum. it isn't about how well i took out someone's colon cancer out. it's more about how the 18 months of critical cancer care drove the best outcome for that quality. we're closer today than we ever were. there's a lot of things we need to do. some infrastructure components to build upon and build the business models into it everyone is aligned. we're very excited about going forward and we actually are looking forward to taking that next step. >> just like i don't think there's a single payment solution across all specialties because there's unique differences in the quest

new question -- who owns my data? what if i do want it to go away? >> there are very challenging concerns. certainly, governed by state boundaries. for example, numerous canadians do not want their data in american dissenters. under a land the vessels, that can be subject to inspection and seizure. all the regulations relate to national boundaries there as well. a cloud providers actually end up having to meet numerous diverse regulatory requirements related to where data may resign and how it may be encrypted. there are different purchase centers for different christian center's and countries -- there are different encryption centers for different regions and countries. i think amazon wishes they could make it go away the same way they imagine the sales tax would go away sunday. [laughter] >> but is it clear that i own my data? >> it is clear that you own your data, but it is not clear that somebody with the opprobrious search and seizure warrants cannot just make off with it, too. and, of course, you know, here is t

that is the data have. supervisor chiu: i'm trying to envision what it means for an emergency vehicle to come in and out of the brt line. there is going to be an impact on traffic when brt is there and then this is reduced by a lien on both sides. it is confusing for me to think about how that is actually going to happen in real life. >> understood. supervisor campos:hq!i if i coud ask that anti to come up on this issue. 'm having a really hard time understanding the analysis of what happens with emergency vehicles given the increased a already have gridlock as it is. how was it from the mta's perspective that what we just heard makes sense? that somehow with this level of emergency vehicles be able to maneuver their way out of the van ness and to the extent they are referencing brt -- that involves the elimination of one lane on each side. how is that going to help with the passage of emergency vehicles? i'm really having a hard time trying to get my arms around that. >> good question. the brt is meant to

significance of the data. at this point, from my perspective, i did not review it and i was not part of that analysis. but if you want to hear from jerry, i would be happy to have him come and talk. they question i have is is the mta taking a position as to whether or not this is an accurate assumption? >> i the guy would have to agree with the assessment that the assumption of drivers verses non-drivers is probably a little low. in ourya projects, we see more automobile trips, particularly when we did the tsf study. that is what i can add to the conversation. >> -- supervisor campos: 40% in your estimation is not reasonable estimation? supervisor mar: it is a hospital where people may be sick or injured, so that is surprising to me. s if i could just ask some follow-up information -- i understand the mta may not have done their own analysis but i ask the county transportation authority to look into this same question and one thing they concluded was even under the final environmental impact report, the planne

that was the best data available to us so we used it. mta does not collect ridership data on a line by line basis at every single stop every single year. they do that every so often. now when the data that we have available that to us from 2011 has become available as part of the environmental impact study we are currently doing, we did use that data and analysis in order to see if the impact we identified would be any different with the 2011 data that we are now receiving and starting to use in all of our documents. what that showed is that the impact would be the same or similar as what we identified in the eir. they would not create any new impact that was not disclosed in the eir we have published. we actually did do that analysis to answer your question. >> i would love to see that. i know the 2009 data was hired in 2006 which seems to suggest if you are using a lower passenger boarding rates, which would create additional capacity, it did not exist in 2009, used you all your numbers. >> that analysis is responded -- provided in our

i know my hospital data. jeff knows his physician data. this is not expensive stuff.we need to find a way to bring the data together to analyze it. the results are remarkable. patients with diabetic test, 24% compared to 30%. patients on coumadin, 65% from 75%. significant improvement. what we have before was patients with congestive heart failure were coming into the hospital. it would be big, expensive bill. they would go back, get sick. doctors would say to do this and this. the reality is that would go home and nobody would follow up with them. they would get sick and come back. they would come back into our hospital. economically, they came back to the emergency room and hospital. we improved ourselves economically but worsened care of the patient and increased the cost. this is not high tech stuff. using case managers and telephones, we would call the patient and asked about their weight. if it was changing, the case manager would say to do this. what happened was an 85% reduction in admissions. in a fee-for-service world, that hampered our economic performance.

the crime data warehouse is our new state of the art web-based portal and data warehouse used to prevent, solve and manage crime. it is a multi-phase project. we have implemented the first two, which are are the most part, starting with search in october of 2011. we baskly loaded in more than a decade's worth of historic alpolice reports with a search capable. we are just finishing the implementation of incident reporting into all of the district stations. we have rolled it out for all of the district stations as of june of this year. what does that mean for san francisco? how has that improved the way we manage crime? i want to talk about three things. there are a lot more, but i will go through three, and we will show you the system live. first of all, timely and visible information about crime . so today, because police officers are entering their reports directly into a data warehouse, when a crime happens in the tenderloin, it becomes visible in the mission, the bayview and everywhere else instantly the minute the report is finished. that is huge in terms of identifying crime trend,

many of us are familiar with the data of delays of therapy. among the transmission only one word in the arm where they had that and this one section very soon after it was initiated. cohorts had 86% reduction in hiv transmission. of interest, 25% assumed did not happen between the partnership and that is something to keep in mind when they think of treatment of prevention. this will only work when true of many things. viral suppression reflected intense strategies including an individual country so near-perfect idea. as we move into treatment and prevention we have to reflect how we can continue to achieve this level -- so go to the exposure. we have three trials resulting in different population groups. many were conducted against across three continents with 2500 young men -- demonstrates protection of 44%. gee b.s. 2 was in heterosexual men and women in botswana, demonstrates a protective effect of 62%. a study of involved rates among heterosexual in uganda to demonstrate the effects of 25%. all of this is currently published. and the thera

so it brings up their data collection dashboard. having spoken to a number of officers in the field, we know they carry a number of different items. they carry cameras, audio devices, and pen and paper. we are trying to eliminate all of these. the amount of time it takes to compile all this information once they get back to the station is huge. so if we can leverage all the technology in one place to make it simple and efficient, that is a win. offense, instead of having to write on pad and paper, i can tap on voice, take an audio note, and if i want, i can have that transcribed in real time using speech to text technology. that is now added to the case file immediately. we can also leverage things like g.p.s. offense, if we found the car several blocks away, the officer could mark that on their map, and that is also attached to the case file. the officer proceeds to the location. they are now able to take pictures that are instantaneously sinked -- singhed to that case file. we talked about g.p.s., we have talked about audio and ph

we collect data every day. we collect data on crime. we collect data for budget purposes. we collect data for our very justification and existence. we use it to tell you that you need to increase budgets to the state. we use crime to justify why we deploy resources. the idea of using data means that you're using intelligence. intelligence led policing prevents the need to do guesswork or bias-based policing. and so where i do appreciate the notion that we should respect law enforcement, as a law enforcement officer, i think there is no more noble professor but the idea that i'm except from the constitution or exempt to accountability is counter to why i got in the job. i don't think it's insulting. i think what is insulting is to allow police officers to come under the threats of accusations of racial profiling and not be in a position to counter it, not be in a position to make sure that your own policies and practices does not make them unintentionally engage in this practice. laws are designed to set standards, to hold us accountable and to really set a clear message. i

i know my hospital data. jeff knows his physician data. this is not expensive stuff. we need to find a way to bring the data together to analyze it. the results are remarkable. patients with diabetic test, 24% compared to 30%. patients on coumadin, 65% from 75%. significant improvement. what we have before was patients with congestive heart failure were coming into the hospital. it would be big, expensive bill. they would go back, get sick. doctors would say to do this and this. the reality is that would go home and nobody would follow up with them. they would get sick and come back. they would come back into our hospital. economically, they came back to the emergency room and hospital. we improved ourselves economically but worsened care of the patient and increased the cost. this is not high tech stuff. using case managers and telephones, we would call the patient and asked about their weight. if it was changing, the case manager would say to do this. what happened was an 85% reduction in admissions. in a fee-for-service world, that hampered our economic performance

of data points instead of just tens of data point, the question is you can build a better idea with who will be able to get good credit. >> are you doing that thing where is your portfolio or company doing that thing where you look at somebody's facebook friends and if they're most of their friends are high credit individuals, that seem to have good jobs, they're probably more likely to repay than somebody who has a bunch of dead beat friends? kind of creepy. >> social is one aspect of how you can build one of these tense of thousands of data points. for instance you might look at court records and you might say someone who had a clean court record is a better risk than someone who has a bunch of convictions. or uniyou height samight say an example, someone who fills in an application properly capitalizing their address information, it turns out, and this zus jnt some hypothesis, but statistically looking at tens of thousands of data points over many, many loan, you can see that statistically they're more likely to be a better credit than someone who is sloppier about typing in thei

so it's exempting its own xfinity app from the data cap, but netflix and others are subject to the data cap. so while we don't think that data caps are inherently bad, when they're ash trrbitrary the be abused. they also own internet -- and if i can just say one more thing, one of the things that really galls us is that we have been asking -- public knowledge has been asking the fcc now for almost two years to look at data caps and not to regulate them and look at them to find out how they're evaluated and how they're raised or lowered so people can have an idea of what these caps are intended to do and they've just refused. >> thank you. >> and mr. funk, it's my understanding that 20% of your customers have dropped their cable or satellite service, and what factors do you think lead more customers rather than additional -- rather than a compliment of traditional cable or satellite service. >> we do see a percentage of our users who have cut the cords or dropped the satellite package and it's the minority and i think they a variety of reasons and in some cases it's cost and there might

even within the same data set, the data is inconsistent. as a consumer, it to fit -- pick out the core data -- how much does the degree cost, how much to go to debt, how many people finish the degree -- then you can pull that out and make it for consumers. that would provide a lot of clarity as to which schools are meeting mission and which are not. >> thank you. >> thank you, mr. chairman. i want to get all of you on the record. each one of the veterans service organizations to represent were signatories to this education bill of rights proposal that i referenced earlier, is that correct? am i correct also in that each of your organizations still stands by that original endorsement of this type of a requirement to protect veterans and active duty and reserve members who are pursuing higher education? i want to follow up on your last point, mr. tarantino, because sometimes we talk about educational policy and it is frequently diverse from the real world. look myself. i started at iowa state university with a major in aerospace engineering,

data is a drug. we're addicted to it. we can't get enough data. we want meaningful data. we partnered with c.m.s. to show them how what they have doesn't get them the answers they want and we're showing them more meaningful data. how we expand the infrastructure. how do we link this beyond surgery across the patient continue yume. it is about how well the 18 months of critical cancer care drove the best outcome for that reality. we're closer than we were. there are a lot of things we need to do. we need to build the business mod sbools it so everyone is aligned. we all have shared incentives. we're looking forward to taking that next step. >> i don't think there is a single payment solution across all sperkts because there is unique differences. the issue for primary care is about treatment for chronic illness. the treatment time might be five, 10, 15 years. my goal is to avoid them being on dialysis now. what is your blood sugar control. have you had your feet checked? your diabetic eye examination? then you get into a debate about are the proxy measures the right measur

and census data, the census provides you with population data, total pop lair data and voting age population by race for every level of geography in the united states. so the smallest census unit of geography is a block. then a tract. then a county. then the state. right? and for every level of geography, we have racial data broken down by the total population and voting age population data broken down by race. and not only just by race, the six major racial categories that we have on the census, but every combination, because you're allowed to check off more than one race on the census form. so the six major racial categories are white, african-american, asian, native hawaiian or other pa hifk islander. american indian or native al alaskan or some other race. there are six other categories. notice hispanic is not one of them because it's asked of another question, where being a hispanic or latino is seen as an ethnicity and not a race, but when you combine them all together you end up with 126 different racial and ethnic combinations. for every little level of geography in the census. so in

we can't get enough data, and we want meaningful, actionable data. so we partnered with cms and started to show them how the current data sets they have don't get them the answer they want, and we're showing them more meaningful data seat seths. and -- sets. and where we need help is how do we expand this structure? how do we link this beyond surgery into surgery and primary care across a patient continuum? so it isn't about how well i took someone's colon cancer out, but more about how well the 18 months of critical cancer care drove the best outcome for that quality. and we're closer today than we ever were, but there's a lot of things we need to do, some infrastructure components we need to build upon and build the business models into it so everyone is aligned and we all have shared incentives. we're very excited about going forward, and we actually are looking forward to taking that next step. >> dr. stream? >> just like i don't think there's a single payment solution across all specialties because there's unique differences in the question abou

it has been an arduous process to get this data together. it is hard to it -- are coming to know that others are having challenges, too. i do not know if we are completely ahead, as the chief said. she brought us in pretty early. other jurisdictions have been reaching out to us to figure out what we're doing and we are sharing information across counties. we are trying to collaborate on that level, too, learning from others. as soon as we have preliminary reports, we will continue to share that. >> from the aclu reports, and again, other public safety realignment reports, the place data collection at the top, but it is a statewide problem. it is great that san francisco is sharing with other counties. is there anything that we are doing that is uniquely monitoring policies and programs, to see if they are working based on our data, the others are not? what are we doing different than other counties? >> from what i've seen, basic reports they are putting out that our folks have been doing for quite some time. but will be unique about what we'

see how they -- they coincide with longer term, slightly better quality data or lower frequency data.> okay. thanks for coming on today. appreciate your time. timo baig at deutsche bank. >>> we're live in milan and frankfurt as german chancellor angela merkel and the italian prime minister meet in rome to discuss growth and austerity process. but will they butt-heads? details after the break. >>> you're watching "worldwide exchange." bringing you business news from around the globe. >> all eyes on former barclays ceo bob diamond as he faces a grilling in the uk parliamentary committee. spotlight also on the bank of england amid questions over its role in the libor scandal. as the barclays chairman starts to look for a new head for the bank, marcus agius said the unrelenting pressure forced bob diamond out. >> i think the fact this intensity was going to continue on and he felt he couldn't do what he needed to do. >> the contraction in the eurozone services sector eases a bit in june, but pmi figures remain in negative territory supporting the case for further rate cuts from the ecb. a

we can't get enough data and we want to meaningful actionable data. so we have partnered with cms and started to show them how the current data sets they have don't get them the answer they want and we are showing the more meaningful data sets. and where we need help is how do we actually expand this infrastructure beyond 500 hospitals, 4000 hospitals, how can we link this beyond surgery into surgery and primary care across the patient continuum so it isn't about how well by took someone's colon cancer out but it's more about how well 18 months of critical cancer care grew the best outcome for that quality. we are closer today than we ever were that there are a lot of things we need to do, some infrastructure components we need to build upon and build the business model into it so everyone is aligned and we all have shared incentives. we are very excited about going forward and we actually are looking forward to taking that next step. >> just like i don't think there's a single payment solution across all specialties because there are unique differenc

that it relating to the on hispoth highlights the other questions to which the data is applicable. succb this financial position keen to inequality? ishe k te ovt quy. academic literature provides that the determinant linked to inequality, and i don't se these considered ithe ok cessily r plez heicto h country the partisan balance of power unionization, redistributed welfare policies come all tse kind of factors th couldb eratinon te e l loleth eidu vad regional level different levels there are less factors out there that really can go to help explain the existence an the changes inequality, n e ok asiosat ," and that financl factors explain a large share of everything that can be explained about inequality. but my concern is that without addressing thedetermints of the al then' loor state policies in determining the changes that have happened over time or the possibility that macroeconomics phenomenon migt be operating through local d ateee li. thougoing into too much detail, the idea of a worldwide relationship of any quality is stattimes euse of the . of hhe seem plausible, agai

for the first time data has been collected on a national level that reveals the extent of cell phone wiretapping in the u.s. the level of surveillance has exploded in the last five years increasing about fifteen percent annually since two thousand and seven two thousand and eleven cell carriers reported that they've had one point three million dollars million demands from law enforcement agencies requesting text messages color locations and other information that is cell surveillance increases warrants for wiretapping has declined fourteen percent last year to only two thousand seven hundred thirty two so how is this happening and will this disturbing trend of exponential growth of the surveillance state continue unabated to break it all down i'm joined now by alan butler appellate advocacy council for epic thanks so much for coming in so so what what does this all say explain a little bit about what was just uncovered well what we've learned is the extent of law enforcement requests given to cell phone companies for user data so subscriber data could be anything from the name or acc

at 2010 data. and so how does that become actionable and meaningful when you get your report, it's really just tied to an update in finances and not to clinical care. and we want it tied to clinical care so we can make actionable statements about patients. so that's the problem using claims data that then has to be aggregated when that year's closed out and analyzed. and by the time it's analyzed and presented, another year's passed. that's why we're looking at other data systems that get to the target you're asking us to get to, and if we had these other, access to these other data systems, they're realtime. they allow us to say that happened last month. that can't happen this month. we need to put an action plan in place to correct that. that's part of the big disconnect, and it's not for lack of trying. it's just the wrong data set to drive the goal that we're trying to reach. >> the other place you can help us is the private insurers, their data's much more rapid, but they're not very transpare

the more recent data has been slightly better than expected. the pmi data, it's low. it was a slowdown for me. but it was still better than expected. it was still above the 50 level. i think you look at bank lending for me shall it was again better than expected. i think chinese government will cut rates further. it cut rates earlier in june. they're probably going to cut rates further and cut the out ratio further. all that monetary stimulus will help the economy in the second half and we'll see evidence of that in the coming months. >> we'll leave it there for the time being. couple much news flashes on the uk economy. construction pmi falling into contraction errie territory. adding bad news for britain. 48.2 is the pmi. this is a reading of 44 -- 54.4 in may. it dropped there of six points. pretty significant drop and one that crosses into the territory. quickly, too, want to mention a couple of lending figures. sterling weakening against the dollar in light of that weaker data. may net consumer lending was up at 1.3 billion pounds. a slight drop from april and th

research organization cern they're working on the computer center to process the data from experiments to read out and do my children. i have the information that cern really badly needs to use they could chat of supercomputer is that true. i wouldn't say badly but he would highly value come to have a very good computing center in the russia at a coach out of institute not only for us but in particular also for that russian research as you see the better your infrastructure on computing is the better you can block in into the analysis of the data which we are taking with our experiments and i think it would be a vain vin situation in particular as of our colleagues in russia if we have good computing center at the coach of institute connected to so. many of. we have many computing silos world wide connected to us and that would also give a fantastic way of connecting into the rest of our computing system bird fight you mentioned hundreds of russian researches working in cern what was the role of russian scientists in the experiments on the hadron collider. it's a very prominent one the

big data.hat are spent and people want to allocate those in the best way possible. we'll be talking to comcast in just a few minutes. >> markets trading lower and despite the economic data head of the jobs number our next guest is encouraging clients to take advantage of the pullback. scott, always good to see you. good morning. >> hi, carl. >> talk to where you think the ecp puts us, saying they did not discuss non-standard measures but sounds like you think that's going to change at some point in the second half. >> i do. i am not sure i really believe mr. drogy. i think there is plenty of conversations within the ecb about non-standard measures. i wouldn't surprise me at all to see them get much more involved as we move down the road because really what these things that they have been proposing to do and the things they have been doing, i see those really as band-aids that really just kick the can down the road and we are going to be revisiting this eurozone debt situation. i mean, for year

we have a very comprehensive data system. one of only you need data systems in san francisco, we have been tracking all young people arrested in the city since 1998. goowe started tracking school address about eight years ago, and in the tracking of those we broke it down to where kids have been a resident of school for offenses committed at school and for kids who have been arrested for those that have not happened at school, so we have a very comprehensive data base that needs a lot of work. it is slowly but surely it falling apart before our eyes, but it does do what it is supposed to do. it creates reports for us that gives us all this information. we have worked with them from the beginning. we are part of the planning process. we continue to serve on their committee, so the young people come by way of clark, and we have our probation officer run of record to make sure there are no outstanding warrants or anything else going on with a young person, and if there are, we allow them to have a transition so the school is a p

it's not a panacea because there's a data base of the men and women -- or one woman who received the medal of honor and alvarez which was the case that was struck down claimed to be a medal of honor recipient. >> water boarded at the time. >> exactly. it's not a panacea but it would cut it down certainly and all nine supreme court justices as well as the ninth circuit court all said such a data base would be a fix. >> now, justice solito dismissed that saying -- noting the pentagon says that's impossible. is it impossible for the pentagon to put this together? >> no, that's based on a 2009 report of the house and senate. i responded to their targets and completely -- arguments and completely debunked each and every one of them. it's not impossible. we know how to do it. at military times we are doing it. >> that's just yourself. >> basically with the help of the tech staff and everybody up there. but we've got the infrastructure and place and we're doing it and we're demonstrating it can be done. >> is there support in congress for creating a national data base and how much would it

your data?e surveys were conducted in 2001. supervisor chiu: so that was 11 years ago. there are not any real statistics related to that date at -- the data? >> i'm not sure -- do you know the nature of those services? >> the surveys done on employees were typical employee travel surveys. they ask you where you come from and what kind of mode you came. they are not personal surveys. we can get you what they entail. supervisor chiu: i would love to -- out of free to get back to us. if i could just point out how to insert it might seem to members of the public that you are relying on data from 2001 and this is a fairly important topic. what fraction of your employees were driving as opposed to using other boats? >> i don't have that in front of me but what -- as opposed to other modes. >> i don't have that in front of me. supervisor chiu: my understanding is the numbers are far different from what you are estimating that will be the new vehicle trips. these numbers -- there is a lot to be asked. i