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

the data to you. vice chair avalos: ok. i'll follow up with mr. fried about that, too. thank you. chairperson campos: and one suggestion is that depending on where the additional information that mr. fried collects gets us, it may be that, commissioners, that you decide we want to go and get an expert to come out and analyze the

for example, firearms is much more robust than data on light weapons ammunition. useful data. disaggregated detailed data on light weapons ammunition almost impossible to find for most countries. we approached dozens of governments, and scoured sources and found what we believe to be fairly comprehensive data on 10 or 11. so huge disparities in the data on that, and similarly for accessories. weapons sites, fire control system, laser range finders. aiming devices. these are all very important items on the modern battlefield and yet data on it is anemic, to say the least. and then the, there's also -- big differences in terms of completeness and specificity of national reporting on the transfers. even to the same mechanism. so u.n. register of conventional arms, for example. some of the reporting is very, very good. very detailed, and other reporting is inconsistent and comparatively weak. and then, finally, our research identifies some trends, some improvements in transparency and to identify some ways, some simple ways that transparency could be increased. so one of the ways

because we had this data last spring. and this is why we made the decisions for the inputs we did last summer. in just a few moments you'll see some of our successes from the inputs. so you'll see that. but we agree with you. >> it seems to me like there needs to be a robust program. not just in terms of how the school system deals with it but even above and beyond that. >> that is correct. and, therefore, i really do appreciate the attention that all of you are giving to this. because it is -- it is an issue for the greater community, we believe. supervisor campos: mr. sanderson, president chiu has a question. supervisor chiu: to follow up on the data, if i'm trying to understand what fraction of say ninth grade students are on track but not on track to graduating, and the graph that talks about the importance of the ninth grade year, you say that's 17% of the entire ninth grade class, and failed two or more core classes. and failure of two or more core classes, is a national indicator of not completing high school, and

what is the utah data center? >> well, it's an enormous warehouse, basically, where nsa's going to keep all of its intercepts, all its communication that's intercepted whether phone calls, e-mails, or tweets, whatever kind of communications it picks up it has a place to store them and then will serve as what's known as a cloud. in other words, agency listening post and headquarters from different parts of country will be able to tap into that communications that are stored there and analyze it. so it's a big storage center for intercepted communications. >> why? why is this necessary? >> well, because nsa intercepts huge amounts of communications from all over the world, and you know, you've got a lot of communications you've got to have some place to put it. that's why they built utah. the bluffdale data center. >> how does this tie in with what is the role or responsibility of the nsa? >> well, that's what nsa's job is. basically three jobs. one is intercepting communications. the other is breaking codes, and th

i want to highlight a couple of comparisons from the current data to the data we gathered last year. be mindful, for the reasons i just described, that the approach of the service, the sampling, interviewing, and the uses to which the data was put at a different set of objectives this year than they did last. that said, one of the basic questions we asked last year, which we repeated this year, offered the responded two choices. whether they would like to keep paying the same rates for electricity, even if it meant that their electricity would not come from a greater portion of clean and renewable sources or if they would be willing to pay a little bit more to ensure that their energy did come from clean and renewable sources there was a slight shift toward people saying that they would prefer to keep their rates the same. 49% said that this year versus 43% last year, with a corresponding decline in the portion who said it would be willing to pay a little bit more. on the central question of whether our respondents said they would be likely to stay with clean power sf once the progra

despite some of the more recent mixed data. germany is doing very well by those standards. >> is the euro weak enough do you think at this level? how weak does the euro have to be to simulate growth in the eurozone? >> the euro is not particularly away from where it should be given the interest rate differentials that you have between the euro and the u.s. maybe a little too strong, but not massively. i would say a few points. if you do have a big weakening towards the 120 level, i think that would generate a lot of positive economic growth, in particular in the core countries which would also have the periphery. i think over time what you need to have is probably a stronger u.s. economy so your differentials play in favor of the weaker euros. but in the very near term, it's unlikely that you'll move from the 1.30 type of levels towards the 1.20. >> loren, thank you very much. back here in asia, we're looking of course at india's manufacturing activity pulling back for the second straight month in march to 54.7 from 56.6 in feb

is the data we're looking at is '06 data. we're in '12. i think prior to that it was '01, five years back before we had similar data. one, is there a plan that, you know, this year you're going to update it again, five years, now six years to update the data about the tax gap? and what is the difficulty in having it be more current? because having six-year-old data certainly is helpful but it wouldn't as helpful as if it was one-year-old or two-year-old data. >> i think that's right, mr. chairman. the process has been to do examinations. so, for example, if we were to do a 2011 years, those returns are now coming in. it would be a while before we would do our statistically -- statistical sample. and using 1040s as an example, we're doing 14,000 sort of research audits per year to try to update this. it's a continuing path we're on. it will be a while -- it will be a few years before we complete those audits before we're able to roll up the information with respect to those audits. 2006 is a long time ago but i'm not sure how much better we

mind, are you formally data mining. >> we look at arcos data on a regular basis. we look at the top 50, top 100 in different areas of the country. we make sure we do background. make sure that those pharmaciep, wholesalers are operating within the confines of the law. and if we have further information on it we open investigations. yes, that's what arcos is for. it is a targeting tool. >> how active investigations do y'all have right now? >> i would have to get back with you. i don't want to throw out. >> ballpark, 50, 100, 1,000. >> we have a lot. many more than 1,000. >> okay. now, i kind of recurring theme from the folks is that people go from one state, go to another. i live lane lin louisiana, pain tell me, illegitimate patients go from houston to louisiana and back again. feral legislation mandating standard so texas, louisiana, mississippi, arkansas, kentucky with every state bordering it would be in some sort of interchangeable information? >> i think -- my personal opinion is yes, i would love to see that. because the i think doctors need that additional

, the collection of data at the agency. over the decade that i have been involved with this, i have seen a much greater level of detail and more accurate data. we have identified a couple of major changes to performance reporting that we think would be an excellent idea. one is to switch from quarterly reporting to monthly reporting of a handful of major indicators. this is important so that management gets timely information and is able to react to it more quickly, and also because you can provide your riders with a report card. we have analyzing the on-time data and allow you the opportunity to measure bunching and gapping, which are the two things which are most annoying to your passengers and will give them a measure of something they can really relate to. without going into data, i know that you have had the opportunity to look at the review. reporting has improved significantly, and most of our previous recommendations have been reported. we found only slight discrepancy is in a couple of reporting areas, and these we

supervisor kim: i appreciate the use of the data we have been trying to facilitate more data coming in so we can prevent increases, if we know that there are areas that are prone are certain types of activities that facility that happening. the first time i heard we have been collecting data on what causes -- with pedestrians and others that are sharing the streets. i am glad to see we are collecting data and acting on it. i appreciate that work. thank you. >> definitely i and all aspects of the operation, trying to go to -- in all aspects of the operation, trying to implement data, going to a comsat process. karl rove just for eliminating the bunches and gaps, is that identifying specific efforts? >> what we are proposing to start trying to focus on is the busiest lines that get us the more bang for the black. to the extent we can improve reliability on those lines, we can do so and benefit the greatest amount of people and from there, we will work our way through. the 25% is the goal for the first fiscal cycle and it extends subsequent to fiscal cycles of the plan. supervisor kim: i

vha data showed that 95% received timely care. we also projected that vha completed approximately $8.8 million or 88% for follow-up for treatment in 14 days nachlt's approximately 1.2 million or 12% of the appointments nationwide exceeded 14 days, in contrast, va reported 98% received timely care for treatment. we based our analysis on the dates documented in vha's medical records. however we have concerns regarding the integrity of the data information because providers told us they used the desired date of care based on their schedule availability. i want to point out that we reported concerns with vha's calculated wait time data in our audits of outpatient scheduling procedures in 2005, and outpatient wait times in 2007. during both audits, we found schedulers were entering an incorrect desire date. and our current practice -- for new patient appointments, the schedulers frequently stated they used the next vablg appointment slot as the desired date of appointment for new patients. this practice greatly distorts the actual wait

getting value out of data is a lack of sophistication.major drought of qualified people that can ask the right questions. >> reporter: new big data industry developing tools for business big and small. >> people are going i know it is interesting to collect twitter data. once the question i'm -- what is the question and what is the answer? >> reporter: big data has its on convention strata conference. job is to stay in front of the trend. >> a lot of people -- this is a pre now it is a highly in demand job time >> reporter: for years retailers collected data there was too much and it was too unstructured. then came the perfect storm, cloud computing, companies like google that eat planets of data for breakfast. now sharing that technology. >> the things done with this data which i'm showing on the screen they found out that aspects of people search behaviors searching for medicines or symptoms, indicator where there is flu activity. >> reporter: next, personal big data using new tools to make sense of your life. >> google will do image re

chairman mcdonnell: any other questions related to this data? can we go to the asian data? >> this is percent asian population. the darker the area is shaded, the higher the asian population. this particular area that jamie is pointing over is between 50% and 75%. chairman mcdonnell: any questions related to this data? that is between three and a 65 people. the deviation would be 5.44%. -- that would be 365 people. chairman mcdonnell: can you open the back door? someone is there. you stay. nice try. any other questions related to this data? hearing none, is their proposal related to -- there a proposal related to these communities? >> could we hear the other two and think about it a little bit? chairman mcdonnell: sure. could we go to the other -- north mission? latino population first and then the asian population. >> which area would you like to have described? the 16th street and up area or 15th? >> 15th and up. >> this is the highest population, 75% to 100% latino. there is a few blocks there. the next lighter color is 50% to 75%. chairman mcdonnell: any questions relat

>> i will have to pull the data for it. when i pull the data by school. supervisor kim: if we have programs that are successful and we are seeing less ninth graders fail in algebra at marshall high school because this curriculum exists, clearly i think it's important to duplicate that curriculum to other schools as well. thank you. supervisor campos: i'm wondering if i can have a followup on the issue of geometry. because while i definitely see that, the performance is better, i also see that the enrollment is also lower. that you have a smaller percentage of african-american students that are actually enrolled in geometry than you do in algebra. so i'm wondering the extent to which that also -- that changes the analysis. >> we actually pulled the students -- remember, these are ninth grade students that are in geometry. these are not necessarily 10th grade students that are in geometry. some of the students that actually -- half would be in algebra approximately. and half would potentially be in geometry. go ahead. supervisor campos: does that change you

, and particularly sharing data and mining data. and it's something that wouldn't naturally occur to a lot of people, but it turns out upon further inspections, and i'm sure we'll talk, that's one of the keys to bringing the health care costs curve down. >> so give us an example of that. i know one of the things you wrote, you had a huffington post piece out today tied to the report that talked about people being like pinballs stuck in a pinball system of health care and there needs to be more players. share what you mean by that. >> one section of the report talks about empowering patients. typically, when you go to your doctor and you have to have a surgery, they'll give you either a yes or no recommendation, and a lot of people are scared to contradict their doctor. let's take a lot of surgeries, say prostate cancer a diagnosis, or there may be other kinds of surgeries that are quasi-elective where the doctor should be explaining to you a whole range of choices and talking about the risks and benefits. states have mandated this k

there are two main sources of data, the department of elections has a lot of data on their website. a lot of their data in recent years is much more informative than what they provided an older years, so it is harder to compare rank choice voting out compared with the old december runoff's we used to have because the data available back then is not quite as in debt as the data is today. what i am doing is trying to figure out the best way to present the information, but still have available to us. we have four types of voting systems, rank choice voting, used for all city offices, plurality voting, used for most other offices, the multi- candidate voting, which is the school board, and humidity college board, and then the simple yes/no voting, which are used on ballot measures and some judges racist. we try to figure out -- and some judge races. we're trying to compare the current systems, how people vote in november, compared with how many people voted under the old run off system, which is where i first target. the information is not as thorough as the old days. before rank choice

so i abrogated all of the data. anybody want to guess? out of 40 of the largest companies in the world, how many of the were using one or more of these -- there was about seven different applications, all delivered out of clout, -- cloud. that's over. best guess, not over. 38 out of 40. of the largest companies in the world. using one or more of these. when we debate the question of will corporations use the cloud, i would say they already have. we clearly are still in the early adoption days. i rattle off some very interesting stories right now of companies you know right now who are using lots of interesting computing and storage cloud services as well. i just wanted to get people to start to think. companies are moving this way. there is a bay area company -- i will not name names, but the cfo walk into the cio's office and said, "no more capital expenditure." the reason why i talk about this as a business model is -- and, by the way, i would be happy to send any of you guys a copy of this book. or if you want epub versions, we can do

if we lost 4,000 and had 10,000 to look at, but it's 3-year-old data instead of 6-year-old data that would be more beneficial. >> i was going to add there are segments of the tax gap that the irs hasn't adequately addressed, too. for example, the international tax gap. our office, hundreds of billions per year, that is due to the american taxpayer, treasury isn't being paid on time if at all. so again, it is an enormous task as was pointed out. they need additional resources but something that needs to be addressed. >> commissioner, you want to comment on that? i know that's an area where we have in my understanding, the most limited information regarding what efforts are. again i realize this is an issue of resource, i'm not an appropriator though i want to look at how we can make the case and the taxpayer advocate well documents the internal investment, in services what a return of investment that is compared to enforcement and how we can promote what your needs are. when we hear hundreds of billions of dollars that maybe we're not getting in that one category, how can we do better

but again if you go to anne mccartt's data, any, this is farce data.there is lot of variability in reporting and maybe the category changed or states, something happened. i can't imagine that, you know all of sudden it dropped so quickly and swung back but that is the nature of the data. that is the point i tried to make with here. >> thank you. last i would like to follow up on a question that member sumwalt started and just hear the thoughts of two of you on the panel who did not have the opportunity to comment due to limited time, the difference speaking on a cell phone and speaking to the passenger beside you. >> oh, i would agree that the biggest difference is that the passenger is in the vehicle looking at the driving situation whereas the person on the phone or texting has no idea. i actually think there's pretty subtle research that shows for fatal crashes anyway, passengers are at risk for teens. they're neither helpful nor not helpful for people in their 20s and for people 30 and older passenger are actually beneficial and in decreasing crash

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 on increase budgets to the state. we use crime to justify why we deplete resources. intelligence led policing prevent the need to do guesswork or by state policing. and so where i do appreciate the notion that we should respect law enforcement, as a law enforcement officers, i think there is no more profession that the idea that i'm exempt is counter to why i got into 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 counter 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 accountability and to set a clear message. i think that's what we're doing. >> before i turn to officer gale, i'd like to note that this celebrated case involving

it's a key player in the data space.it's basically using it as a launch pad for data, and on the strength of a lot of new business, and health care. health communications and technology, and also with the cold storage hardware so i think this is a stock we need to keep an eye on. >> tom: a year ago it was cloud computing. >> do you own any of these stocks we mentioned? >> no, none whatsoever. >> tom: you can read james' article. word on the street with jame rogers and the street.com. >> susie: we've been reporting a lot about the nation's growing mountain of student loan debt. tonight a top communist pults in his perspective at moody's analytic. >>tudent lending is a big problem. not for the financial community, but for students, parents and taxpayers and the economy. the hysteria of defaulting student loans will blow up the system like subprime mortgages is misplaced. the bultk of student loans are guaranteed by the federal government, and they have a mountdain of debt it means higher tuitions at colleges and universiti

would allow me to demand the deletion of any data held by google. if google doesn't accede to the request it's libel for up to 2% of its $30 billion annual income. now we're talking about serious money. that might get google's attention. >> suarez: the europeans have been tougher than the americans. >> they have. google takes it much more seriously. the european investigations found these were serious violations, emails of people having affairs talking about their sexual orientation, web browsing, very, very invasive. unlike europe, we have adopted the position that if i surrender data to google for one purpose, i abandon all expectation of privacy for it in all purposes. this is called the third-party doctrine. the supreme court justice sotomayor in a case involving g.p.s. tracking said that doctrine has to be considered. that's true. unless it's reconsidered we're vulnerable regardless of what happens. if google can get my location by looking at my android smart phone. it doesn't have to spy outside my house. more broadly america is going to have

the data to you. vice chair avalos: ok. i'll follow up with mr. fried about that, too. thank you. chairperson campos: and one suggestion is that depending on where the additional information that mr. fried collects gets us, it may be that, commissioners, that you decide we want to go and get an expert to come out and analyze the data and provide further comment. and mr. fried, one thing that i would say is that obviously the suggestions you're getting here, it may be that commissioners after the meeting think of additional points that they should always feel free to contact you. >> absolutely. i'm always available for anything else. chairperson campos: ok. thank you. why don't we open it up to public comment. thank you, mr. fried, for your good work on this. please come forward. >> good afternoon, again, commissioners. eric brooks, representing san francisco green party and the local grass roots organization, our city. it's really, really exciting to see this preliminary report because it shows exactl

we're only talking about the first year data and everyone realizes that we'll need several years of datairm a lasting improvement in academic achievement. we're also continuing to gather data on other critical outcomes that matter to assessing student progress, things like graduation rates, dropout rates, discipline, attendance, and other indices. so this is very much a first look at the initial results of s.i.g. and it is encouraging to see that rigorous research in cities like philly and new york city is also finding the turn around schools and reconstituted schools can dramatically improve student performance and substantially boost graduation rates. even more encouraging they're doing so district wide, not in isolated pockets of success. as we all know, scale is so important to this effort. it is equally heartening to hear as we learned earlier this morning in the grand nation update there has been a big drop in the number of high school dropout factories nationwide, especially since 2008. from 2008 to 2010 the number of high schools in america where graduation is not the norm fell f

get the big data. what do you learn from it? so we're using new technogy called machine learning to sift through the huge amounts of data. so we studied a question that has eluded people in hospitals. which is, why do people get readmitted so frequently after their stay? >> so they are in >> they go to get treated for something, disarged -- >>>> and t then they leave and >> and it never seems to be one the hospital -- reason. the question is why. so we took ten years worth of data, put it into the big machine and said, tell us the reasons why people come back. and it found a lot of normal things. it found interactions between drugs that people didn't know about, found a case, for example, where there was a cardiac event and then you had a gastrointestinal event. those two doctors would give you different drugs and they would interact. one of the more stunning ones was in one hospital where you happen to stay in room 209, you have a high probability of coming back. turned out there was a cleaning proble

it would be expensive to put together all this data about how often why the police are requesting the information because a.c.l.u. and thena pointed out the info the privacy bill would request is already put together it wouldn't require any extra work from the companies and so why is that information already available you might be asking well because the company sent a bill to the cops every single time they come begging for that location data on the color pointed out those location data requests they don't come cheap and the companies want to make. where they're giving accurate invoices to law enforcement there's even an example and this one actually shows how he charges one hundred dollars to activate the service and then twenty five dollars a day for their assistants so it's pretty clear that the t.i.a. wants to protect all the extra money coming in first up on providers after all it's a nice perk to the business but it completely violates the unspoken understanding itself and providers should be working for law enforcement they should be working for you with the customer right and

add value by independently analyzing this data. therefore we believe a requirement to compile the data should be assigned to each department and the igs should review the quality of that data as part of their oversight plan and use it to inform their work. we believe that a semi-annual or annual reporting requirement would provide congress with meaningful data and necessary transparency. finally, the provision of the bill authorizing the lead ig to employ personnel on a temporary basis would enhance our ability to move the right people in quickly to establish an immediate overseas presence. however, i believe the special hiring authorities would be ineffective if not time limited. with a few changes plus a funding mechanism to resource the hiring of additional staff the proposed legislation would be an efficient and effective way to ensure comprehensive oversight of contingency operations. thank you for your support of the community. i appreciate the opportunity to testify today and express our views and look forward to answering a