and then the ability to merge data this relates to the standard. combining data is where we get the real value. it is when you combine data from here to hear and put those things together. that is where you get thing. there is information on what roads are closed. there is information on the maps to d.c.. combining this things presents a good visual for everybody. as far as how this will impact their community. ok so that is the simple model. i think that all this data stuff there so many words out there. than in the first bucket in when of data accessibility you do not know what is in the they aret of commerce the folks who monitor us. they're the folks who monitor our ocean. they monitor the solar activity. just their weather data alone. of how dothis problem you get 30 terabytes of data? so, they are working with the private sector. that is a huge physical challenge. how do you make this data accessible? it is a huge problem and we will talk more about that later. they are the good folks who produce the number of gdp. i think a lot of us heard ab

let's talk about the analysis of data. again, i mentioned one mentioned one of the biggest constraints we have in the country and for those of you in the private sector you might have a hard time finding these people who have the skills that looking at this data. so we looked at that and there's a lot of people in our society, over 10 million who are kind of data in their day-to-day jobs. 10 million are very data intensive. we expect that number to grow over time. we need to develop more people with these skills who can actually look at data and make the right inference from it. look at these big data sets it goes well beyond excel. i know the department of commerce, finding people who had the ability to take large data sets and do something with it, that was really hard to do. when i talked to my friends, salaries are really high for this. we have to do a better job of educating people to get them into the pipeline to be able to do this type of stuff. as i said, smarter government. we could talk about smarter government al

in the data act. question for you is, do agencies have the capacity to fully implement the act? and the reason that i ask that is, because some of them in casual conversation i hear, not that -- not conversations i've had myself, that some of them don't believe they have access to some of the data to be compliant with the act and so what would you say about that capacity issue? >> okay. i apologize, the agency you work with, i missed hearing that. >> i've worked for agencies before, but i don't currently work for one. >> okay. >> i work for terra data. >> okay. >> no, but i mean you said some agencies didn't think they had the ability. i wondered if you wanted to name one. you know, it's old habit from my days. the answer to a question like that quite frankly is a leadership question from the white house through omb. i agree that people at a given level may think they don't have the ability or may validly not have the ability and that's the reason that if the office management budget leads on behalf o

in the data act. my question for you is, do agencies have the capacity to fully implement the act? and the reason that i ask that is, because some of them in casual conversation i hear, not that -- not conversations i've had myself, that some of them don't believe they have access to some of the data to be compliant with the act and so what would you say about that capacity issue? >> okay. i apologize, the agency you work with, i missed hearing that. >> i've worked for agencies before, but i don't currently work for one. >> okay. >> i work for terra data. >> okay. >> no, but i mean you said some agencies didn't think they had the ability. i wondered if you wanted to name one. you know, it's old habit from my days. the answer to a question like that quite frankly is a leadership question from the white house through omb. i agree that people at a given level may think they don't have the ability or may validly not have the ability and that's the reason that if the office management budget leads on behalf

we need the data itself. the building blocks. we hear about data and i use the word integrity often. you have to know where the data comes from. there is a lot of junkie data out there. agencies take pride in themselves producing high quality data about our people and our population. there are real questions out there about data and what we actually know about it. often when you're looking at complicated questions you have to get those types of answers. them are going to talk about common formats and standards because you want to reduce the cost of combining all these data sets. it's one thing, you have to make your eta sets easy to find. last time i looked at it will there were about 114,000 different sets. they're just exposing in terms of size and number. how can we make this something that we've been working on and can find. the ability to merge data comes back to the standards. combining data is where you get the real value. you can have a single data set and i'll go through examples but it's when you combine data from here t

data. then we have enhanced the possible, and open data was the driver of that enhancement. with that comes how we look at our company today, which is almost like a data transportation company. we are like the amtrak of grant data. we try to move the data through that chain, understanding that everybody has to get on the same train, so that data being standardized, be invaluable, being able to be integrated from a variety of different inputs creates more value. that possibility of moving data, driving data, having the pressure on folks to get better access to that data is only possible if open data as a fundamental process and as a culture exists, and that is what is driving our business and has opened up many new channels for what we are trying to accomplish. >> thank you, great panel. you have heard from our panel that the push for open data and transparent data is having an impact, that companies and organizations in very creative ways are getting it, providing access to it, and providing their customers access to it so it can be used by many across our great country. for

and then, the ability to merge data. this relates to the standards because combining data is where you get the real batta. you can have a single data set and you put the things together. that's where you get the big value. look at the map we just showed. there's information about roads closed and the city maps of d.c. .. they're the folks who monitor our oceans, monitor our fisheries, they monitor solar activity. just the weather data alone is about 30 terabytes a day. and they had this problem of how do you get 30 terabytes of data a day out the door? been working with the private sector in new and creative ways to do that. that's just accused physical challenge that they face. and how do you make this data accessible? it's a huge problem that we've talked more about later. then we have bea, the good folks who produce the number of gdp. i think a lot of you have heard about that. think about the current account deficit, what are our interactions with the rest of the world, how has that affected the economy? when you thin

to find the data, to clean the data. sometimes that's the most difficult and least fun part of this, cleaning the data to make sure it's accurate and usable, and to make that data available. and, again, available to be visualized used and downloaded and have taken with you in your own way through this foreign assistance dot gov site. it just relaunched. it is another beautiful way in which we can open data and make it easy for just about anyone to figure it out and use it. so next stop on the agenda for new websites or refreshed websites to make more data available, to make better data available, and to provide it in a beautiful user friendly way is usaspending.gov. my colleague, dave, will talk more about that and the improvements that are coming with usaspending.gov. i will talk about it actually from the process perspective that i have gotten to see wearing my open government initiative hat. i thought the process of the spending team out of treasury and supported of course by colleagues clout the agency has been amazin

we can use and leverage the data that is provide he state and federal level to make changes for this population rather than continuing to collect data that is onerous for the hospitals and recorded in other areas we'll to ask the commission to have dpw work with the hospitals to a come up with an ordinance to make it more use full in improving the health of this population thank you. >> thank you. >> good afternoon commissioner cut me off if i go past. >> you get 3. >> oh. >> kaiser permanente as many of you may know in the reports we're a volunteer reporter we're unique combination of health plan, medical group and hospitals we participate and have from the beginning we believe in the purpose of this as mabus stated to improve the coordination understanding and- but the most important part mabus highlighted about the affordable health care act it changed the entire landscape of how this activity is recorded it didn't just reduce the number of charity group patient addresses the expenditures that unified something bi

data. this is related to the standards. because combining data is where you get the real value. you can have a single data set. and i will go through a bunch of examples. you combine data from here to here and put those things together. think about the map we just showed, right? so there is information what roads are closed and information about the map, the city maps of d.c. it is combining those things presents a good visual representation to everybody about how this is going to affect their commute. this is how it is going to affect their day. that's the simplified model. when i think about all the adult stuff, there are so many words. these are the buckets i put things in. let's go just a little bit more. now, in the first bucket, in terms of data accessibility, let me talk about what we have done at the department of commerce and why we may actually care about that. why you you probably don't know. it is a big holding company. let me go through a couple examples. noaa are the folks who monitor our climate, ocean, our fisherys, they monitor solar activity. just the weather da

and open data was the driver of that enhancement. with that comes how we look at our company today which is almost like a data transportation company. we're like the amtrak of grant data. we try to move that data through that chain, understanding that everybody has to get on the same train. so that data being standardized, being valuable, being able to be integrated from a variety of different inputs creates more value. but that possible of moving that data, driving that data, having the pressure on folks to get better access to that data is only possible if open data as a fundamental process and as a culture exists. and that's what's driving our business and has opened up many new channels for what we're trying to accomplish. >> thank you, great panel. you have heard that from our panel that the push for open data and transparent data is having an impact. that companies and organizations in very creative ways are getting it, providing access to it, and providing their customers access to it so it can be used by many across our great

other data not collected by the drone, is that correct? >> yes. well, aggregating it with itself and with other data. in other words, you can have a buffer that only stores three seconds of information at a time in the drone and to the extent it detects any illegal activity, that puts you in the jacobson world. >> this is month-long surveillance broadcast on the internet? >> for the analysis, i'm going to think of aggregation as taking the drone data, adding to it other data and then drawing conclusions from it, versus persisten persistence, which is just taking the drone data for days and days. and my view is that persistence alone is going to be enough to trigger the fourth amendment protection. and i base that view again on the jones case and the five justices who seem to think that the trespass didn't really matter, so long as there was persistent surveillance, even though the case went down on trespass grounds. i wanted to flag to folks an interesting discussion we had about this at the privacy law scholars conference on june 24th, 201

we want to protect the data. we want people to be secure in those systems, for all the reasons i previously stated. but we also want to be able to get to the information with a warrant. and so when we're -- when we do that, the question comes in as to -- what is the best way to go about doing that. how do we get the information that we need but yet make sure that nobody else or at least people who -- who build these systems can make it as secure as possible so that it limits -- there will always be a risk, and i will readily admit that. there will always be a risk when someone other than the sender and the receiver can get that information. but at the same time, since we have those systems in place today, how can we continue to mitigate that risk and how can we minimize that risk so that we can get that information. >> so, what have your conversations been like with the prevat se private sector? because many companies are worried it could have business implications for them as well if they already have the strong

we want to get the data so people can find it and use it. so let's talk about the analysis of data. oned one of the biggest constraints we have as a country, and for those of you in the private sector you probably have a hard time hiring people who have these skills of kind of looking at this data. and when we looked at this and there's a lot of people in our society, over 10 million, who really are data insensitive in their day-to-day jobs. so there's about 150 some odd million people in the workforce who work for employers and then about another 20 million to 30 million who are self-employed. so 10 million are very data intensive. we expect that to increase over time. we need to develop more people with these skills who can look at the data and make the right differences. looking at the big data sets it goes beyond excel. at the department of commerce, finding people who had the ability to take large data sets and do something intelligent with them was hard to do especially on the federal pay scale. when i talk to my friends in the private sector, salaries are really high for this.

a call within the united states department of agriculture to promote data that the government has two deal with food security in the food system in the united states. what we are building is what we call at the moment the farm to table dashboard. we want to create this one-stop shop is important portal for important data sources about agriculture and production in the united states. in a desperate world in the on line -- or we want to bring that together and make it easy for anyone from the interested public two is a busy small farmer all the way to engineers and professional developers to access the data and start using them in ways that would be powerful for them. but we have done is we have wrought more usda's more datasets together and we have done this on microsoft's cloud computing platform called asher and you have the services available within that as well. where allowing broad data downloads. you can see the, you can go and simply download the raw data bring it on to your personal computing platform and do whatever you want in open data.gov fashion. however we understand a lo

. >> do you have an analysis or data? has the department done any analysis or data why low scs asians outperform almost anybody else. >> the asians are not disproportionately locked in the lower ses as compared to say blacks and hispanics. unless you separate it the asian pacific islanders out, they are very poor and so you don't see the pattern that we saw here today. >> one other question for dr. minor. you mentioned a number of programs, rio, gearup, i think campus program. do you have an understanding of how much those programs or total expenditures for all the programs have -- has been level, has been flat, as has increased from 1990 to the present. >> do you have any data related to that? >> yes, weise have very specific data for all of the programs in terms of the appropriation levels from year to year. id say over the last decade, there have been very small incrementing increases. subject to the budget, but fairly flat. compared to lots of other indicators. and the big question again is whether or not the investments saw

sensitivity and the importance of the data collect that we collect and we need to ensure that we can tell you as our oversight as well as the broader citizens we defend that we are not arbitrarily misusing that data, that we are not opening it up to just anyone in our work force who wants to look at t we take all those duties and responsibilities seriously and each one of the three major independent reviews we have had in the last 18 months have come to the exact same conclusion in that regard. >> senator wide wyden. >> thank you, mr. chairman, thank you, admiral for your professionalism. let's see if we can do the first question on bulk collection this, matter of collecting all the millions of phone records on law abiding people with just a yes or no answer because i know senator feinstein got into some of the questions with respect to implementation. i have heard you comment on this, but i'd like to see if we can do this on the record. do you expect that ending bulk collection is going to significantly reduce your operational capabilities? >> yes.

that's not off the back of the pmi data. it's off the back of bearish sentiment leading people to think a possibility in the delay of a rate hike. let's recap the other data we had earlier. italian pmi was 53.8. that was a slight miss. french pmi was 48.3. german pmi was 53.3. a very slight beat. all of that summed together with european pmi 52.3. >> europe now at 113 against the u.s. dollar. we'll have to keep an eye on the currency which in august gained about 4% against the u.s. dollar. that's one of the reasons we saw the exporters in europe respond negatively and we'll have to see what happens in september. especially if china continues to devalue it's currency. >> quickly mention, greek pmi, 39.1 in august up from july. let's have a look at what european stocks are doing very much in the red as you can see. the stoxx 600 down 2.46%. this comes off the back of a weak trading session in asia. let's have a look at the individual european markets as we stand at the moment and the ftse 100 down 2.1% of course. it was closed

the first thing that we're doing is we're just allowing raw data downloads. so you can see you can go and simply download the raw data, bring those on to your personal computing platform and do whatever you want with them in true opendata.gov fashion. however, we understand that a lot of people might not want to have to deal with trying to understand them, deal with them. so we've provided a nice user interface as well that'll do dynamic sorting, for instance. here i'm saying i'm going to want to get the area harvested of corn in the united states, and i'm going to ask it to do that in the state of alabama when this actually comes back as a service -- >> host: and so you can figure out how many acres of corn were planted in alabama? >> guest: yep. >> host: is that that you're going for here? >> guest: yep, exactly. one of the things the service will allow you to do is to be able to pull those data down and look at trend lines over time, for instance, and plot out how things have been looking both in acres harvested, planted and then the yield of different crop

we need to do better at capturing the data. obviously, things like the annual wiretap report kind of presents the problem. our investigators aren't going to pursue something that's that. >> there are some who say that there's actually more law enforcement available than ever before. that law enforcement, for instance, could collect met data which includes telephone recorders and location data. but aren't these tools enough? >> that's a great question. i think that, personally, i've had discussions with all of the f.b.i. field offices to have enough knowledge of how we investigate and, of course, having been in those field offices myself, and having investigated a number of different violations, agents will always try to get the information they need. so they're going to try everything possible. in some cases, if we're stymied by the inability to get information in, really, the most effective way of being able to directly access a device or access of realtime communication, we're going to try to find a way around it. sometimes th

this is the data and the amount of time it takes to move that data. we have maybe 140 different applications at various stages of developments, many of country are internet of things applications. the kind of capabilities and characteristics provided by these applications are obviously big data, visual data, exploitation so you can actually see what the big data are saying, virtual reality, very engaging applications, realtime, low latency so there's no relay, extremely reliable networking and very collaborative so you can work across distances. let me give a few examples. we have been partnering and co hosting with nist, it's a focus on applications to deliver city services. i wanted to flip through a few examples and if we have time to take questions. >> in chattanooga, putting in place 20 sensors that not only track allergies like pollen but also smaller particulates and transfer those to tools like a cell phone so people know where to go and not to go. and there's a project to array of number of sensors to track human activity and weather. this is

data. that's what they tell me all the time. good data leads to good law enforcement but for some reason some of those have actually stop us from collecting that data. i will never forget our good friends from, call names, our friends at the police union, fob, thank you so much. it was on the tip of your time. the fraternal order of police sent a letter to john conyers we introduced a data collection abilities said we opposed your bill simply to collect data on routine traffic stops. thinking that he said the reason we don't want our police officers involved in sociological experiment. so when one hand we want david to craft a positive on the other hand, we don't want to collect the data. there's a real problem and that's why this bill is a crucial. the end racial profiling act, collects data, holding law enforcement accountable and assured they do with this post be doing and not target us. for those who drove down highway 95 and the last segment on a number years ago, 17% of the driving population was african-american. we determ

the most challenging d.o.j. recommendations is collecting data. proving that training works. today they are getting crisis intervention training, how to deal with people that are mentally ill. >> the last time this happened i tried killing myself. >> steve james is another academic from washington state university, and he is embedded with the police to collect cold-hard data to see whether the reforms are working. >> one of the problems is it's never been studied. we have a lot of anecdote at data, stories about an officer well trained and performing well on the street. study. >> reporter: he runs the state of art lab in washington state where he gathers almost real-life data in real time. >> sir, sir. fast. i'm here to go through some of the same tests cops go through in the simulation lab. that was fast. you weren't kidding. >> absolutely. that's how things can go wrong, when it comes to things force. what can we expect from the officers under stressors, time pressures and so on. and that you have experienced yourself. what can you expect from a human being. when we find tha

which do include some double up of the data children. but those can be added to the report as a reference, but obviously they, they can't be reported within the hud definition. >> okay thank you, and i think that in san francisco, we have the other jurisdictions and the circumstances here and the way that people are dealing with it and being marginalized from the housing perspective and it does not capture all that we need to capture, for the future. and i know that we are bound as a city to do it according to hud standards and the federal definition is better. and they are good, but they don't capture the entire picture. >> right. and it makes it really difficult, to communicate to the community groups, some of these really, fine details definitional distinctions that we have to work under. >> thank you. >> we open up the public comment in a second. >> i want to thank everyone for participated in the hearing, in particular, devon and trent, and the entire hsa team who is here and dph, or sorry, and trent's team. >> sure. >> and devon's t

the first data management companies were data or data platform is the final product. so these companies aggregate clean and standardize various types of data. an example would be a data management analytics or platform company. the next is information-based companies where information is the final product. these companies take open data analyze and visualize it to transform it into information for consumers. a company like graphics who creates rich visualizations for their customers. the second and larger category of private sector use of open data is business optimization. so market intelligence. that's where open data can help companies match supply and demand more accurately or find and assess new markets by examining demographics or business registry data. the next is customer service. open data can help identify micro segments for targeted marketing. a retail store could use census data to customize store layout for different neighborhoods. open data can help change processes where data shows performance or inventory could be tightened. it's estimated that if open

sensitivity and the importance of the data collect that we collect and we need to ensure that we can tell you as our oversight as well as the broader citizens we defend that we are not arbitrarily misusing this data, that we are not opening it up to just anyone in our workforce who wants to look at it. we take those duties and those responsibilities very seriously. and each one of the three major indendent reviews we've had in the last 18 months have come to the exact same conclusion in that regard. >> senator wyden. >> thank you, mr. chairman. thank you, admiral, for your professionalism. let's see if we can do the first question on bulk collection. this matter of collecting all the millions of phone records on law-abiding people with just a yes or no answer because i know senator feinstein got in to some of the questions with respect to implementation. and i have heard you comment on this but i'd like to see if we could do this on the record. do you expect that ending bulk collection is going to significantly reduce your operational capabilities? >> yes.

the lock-in programs? >> absolutely. as our current data brief shows, the rate of increase of opioids within part d far out paced the drugs, and we also see as i mentioned the pharmacy fraud where we see pharmacies allowing for opioids to flow into the streets and be diverted. this poses not only a patient harm issue for the beneficiaries. there's a significant issue and we believe the lock-in would be a significant move forward to protect everybody. >> do you believe if the pharmacy-lock in prevention were put into law, it will help with the over prescribing in part d? >> i would certainly agree with ms. maxwell we have seen beneficiaries that are at a safety risk from the opioid medications. i do believe that it would have impact as it has, you have already pointed out in the private sector as well as various medicaid programs. >> i want to switch to that report that ms. blackburn mentioned that the agency released this morning. the fps uses predictive and analytics to detect billing problems with providers in the program and cms reported

the lock-in programs? >> absolutely. as our current data brief shows, the rate of increase of opioids within part d far out paced the drugs, and we also see as i mentioned the pharmacy fraud where we see pharmacies allowing for opioids to flow into the streets and be diverted. this poses not only a patient harm issue for the beneficiaries. there's a significant issue and we believe the lock-in would be a significant move forward to protect everybody. >> do you believe if the pharmacy-lock in prevention were put into law, it will help with the over prescribing in part d? >> i would certainly agree with ms. maxwell we have seen beneficiaries that are at a safety risk from the opioid medications. i do believe that it would have impact as it has, you have already pointed out in the private sector as well as various medicaid programs. >> i want to switch to that report that ms. blackburn mentioned that the agency released this morning. the fps uses predictive and analytics to detect billing problems and provide the program and after three years

we need to do better at capturing the data. obviously, things like the annual wiretap report kind of presents the problem. our investigators aren't going to pursue something that's that. >> there are some who say that there's actually more law enforcement available than ever before. that law enforcement, for instance, could collect met data which includes telephone recorders and location data. but aren't these tools enough? >> that's a great question. i think that, personally, i've had discussions with all of the f.b.i. field offices to have enough knowledge of how we investigate and, of course, having been in those field offices myself, and having investigated a number of different violations, agents will always try to get the information they need. so they're going to try everything possible. in some cases, if we're stymied by the inability to get information in, really, the most effective way of being able to directly access a device or access of realtime communication, we're going to try to find a way around it. sometimes th

consumers on the privacy of the data being collected on them. and what we would maybe consider the privacy infringements. they might choose to be like -- that's ok. that to some degree the market will play a role in that. there is going to be a checks and balances there. i don't think that all consumers as concernedbe with the conversation and issues we are talking about today, but i do think that education to the consumer will be really important. just to understand you correctly, education can keep up with technology, but the law cannot? ms. russell: i'm not sure that anything can keep up with technology. i'm only six months into working in the technology sector, but saying the things move at lightning speed compared to the tech -- compared to the government is an understatement. i don't know how government alone and houses alone can up with the pace of technology. i think that education of the consumer by the companies deploying these technologies, corporate social responsibility in the digital world means the responsible use of data, the resp

which do include some double up of the data children. t those can be added to the report as a reference, but obviously they, they can't be reported within the hud definition. >> okay thank you, and i think that in san francisco, we have the other jurisdictions and the circumstances here and the way that people are dealing with it and being marginalized from the housing perspective and it does not capture all that we need to capture, for the future. and i know that we are bound as a city to do it according to hud standards and the federal definition is better. and they are good, but they don't capture the entire picture. >> right. and it makes it really difficult, to communicate to the community groups, some of these really, fine details definitional distinctions that we have to work under. >> thank you. >> we open up the public comment in a second. >> i want to thank everyone for participated in the hearing, in particular, devon and trent, and the entire hsa team who is here and dph, or sorry, and trent's team. >> sure. >> and devon's tea

who is going to own the data and of the data? you about a farm a company that works with a digital enabler like a trial h with a super well-funded team, the economics are going to be more shared between the startup and a farm a company than if google is engaging. this is going to be what we are going to see. francine: in the health care space. industries.n new tech companies, google, facebook, amazon, apple and existing industry. digital enablers are going to distribute the economics and help industry, help the empire strikes back and a more powerful way then some big new digital platforms. big in the sense of the apple, facebook, amazon brigade. francine: what do you make of google? sharing the iphone and not only android as well. this will force others to do the same. julie: open systems trump closed systems. apple is a closed empire even pass the app store. google is saying our trump card is we are going to be cross-platform. for those of us in the tech sector for 25 years, you go back to winning, why did apple not win in the

>> no. >> you said five or six instances. >> we query the data multiple times through court approval speed so you are saying it is faster now? >> no. you asked me to get their old versus new. let's try to get a framework under the old system. under the new system because it's not implement i can tell you right now. we are in the process of transitioning. the transition must be complete by the end of november 28 so we have not completed the process yet. that's why the legislation we passed, this will take some number of months to work with the provided to make a tactical changes on the provider side. >> second subject. sunday's "new york times" reported that our country ask the chinese to embrace the united nations code of conduct on principles for cyberspace, that no state should allow activity, quote, that intentionally damages critical infrastructure and otherwise impairs the use and operation of critical infrastructure to provide the services to the public. from your perspective would a cyber arms control agreement along these lines be valuable? would it be enforceable? >> first th

i've asked for about about the specification the cost benefit analysis data, the data withine not this contract but the last time we voted on one of those we were told that one of the barriers to using our own staff and adequately hiring for the multiply i e p i've asked for data could i see if that is happening in the languages because the numbers we were suggested seem very, very high about the same language going on at the same time and i understand the specific expertise how much do we need trarptsdz that needs to be done by sitting down and talking to people thank you for staying since our presentation all the information i think so a great deal of work i appreciate is coming through chief truit i think i need the opportunity to explore this beyond it and have concerns just a lot of money thank you. >> commissioner fewer with the increase in the 504s does it require a translation thing on the form is there an increase in cost that that. >> if parents of a child with a 504 plan requested translation absolutely that requires transcriptions as angie p requires translation a

the nsa has a law to insure oversight of the data we collect. we make sure no one in the workforce can access anything. section 215 out of an organization i told you that is close to 40,000 we have limited access to that data to approximately 30 people. we understand the sensitivity of the data we collect and week tell you from oversight that we are not arbitrarily misusing the data, opening it up to anyone in the workforce who wants to look at it. we take those duties and responsibilities very seriously and each of the three reviews we have had came to the exact same conclusion. >> senator wyden. >> let's see if we can do the first question on bulk collection. collecting millions of phone records on law-abiding people on yes or no questions. i would like to do this on the record. do you expect ending bulk collection is going to significantly reduce your operational capabilities? >> yes. >> in what way? >> right now bulk collection gives us the ability to generate insight and we call it discovery would this replace the current bulk collection? it

about the general hospital the data is not encouraging but fairly encouraging at the jc c last week at the general hospital we saw data that leads i to a different climax we're not doing that well against the public patient experiences and not improving fast enough to get near competitive for the experiences elsewhere we know some of the problems we're starting to address but how i sync this presentation of the data and this presentation of the data. >> i'll make anecdot editorial comment you're the comments are good for a cigarette way into the next part of the presentation we're interested in hyphenate the improvements that are part of the you know clean organization to highest the gaps one of the reasons we didn't show you the bottom slide their problematic they're the wrong measures they're actually not driver measures or two hive a level or not measured enough that's what we in terms of the disconnect in terms of what you see here and what you heard at jc c the 8 count is i don't know 25 questions survey it has the discharge planning and nurse communication and all those domain

the data from the hospital as well as the crossroads data from the police department and we'll be bringing of those pieces together and summary of the severe injury data of the general hospital was reported earlier at the task force meeting. we also are working to expand transbay as the central repository for vision zero and working with the planning department to get feedback and help educate more staff about it as a resource and figure out how it can be more useful and what other interfaces we can incorporate in the next iteration to help ensure that data for vision zero to move forward. we were also asked to present at the june 2015 national health impact meeting in washington d.c. and the grant for the model practice. >> we have a question from commissioner mar? >>supervisor eric mar: can you walk us through transbay.org is? >> it's a spatial analytic. a lot of the data that we have in san francisco thanks to initiative like data sf has data that can be readily mapped. what transbay does is brings data about intersection and links the data on the character institution -- characteristic

data sets. more than just the initial three high value data sets. and government agencies, as you heard really stemmed by the dozens. following on that and really capitalizing on the great work, happening in open data, in 2013, president obama issued an open data executive order. this eo declared that open and machine readable is the new default for government information. and that has been a very new way for a lot of us to work. a lot of us have come up in government for some time, working in very paper-based environments. so to have this open data eo and the open data policy that followed it, helped us move forward in managing our information as data assets. so let's take a second and talk about the open government partnership. i mentioned this was founded in 2011 by president obama and seven other heads of state. the great thing about the open government partnership is it's not a partnership of these member countries. it is between the deposits of these countries and their civil societies. so what started with eight countries and a double civil so

they are following the data. the data did not sustain a rate rise.eople heard a lot from the dissenters. from jennaot heard yellen. it says is she is taking control of the committee. what we have heard is her view that we need to wait. it is not time to go yet. we will probably not see a rate rise this year. guy: do you agree with that, lawrence? they probably still managed to go in december but a lot of those point are right. the data have not supported a ro move now. have hearding we from her is she hasn't said anything. you would have thought for the chairman not to have set anything at all, it would have with ange to come out hike. guy: she has a number of events fewduled over the next you date weeks. what did she have to do to calibrate market perceptions? me, ice: it seems to thought there was a interesting contradiction. what happened is a lot of dovish things came out of the statement , the new economic projections. fromet we got a firm voice the chair saying we still think we are going to have to go. despite the fact that everything shifted

the, you can record meta data about anything. some is not going to be interesting or useful for what you want to use it for. the trick is the inference capable of data we know about is extremely powerful. for example, a science paper about four weeks ago showed that with a large body of 30 million financial transactions, it was sufficient to identify a single individual by observing four transactions of theirs and if in by trying to mung it a little bit, they were able to protect individuals in that data set much more. it's just saying that stuff, you need to protect it more robustly than you might think and certainly, the temperature of this room is the type of meta data, doesn't reveal a lot about who's in it specifically. it may sort of map on to how much fun we're having and other kinds of things. >> sir. >> mike bryce from the brennan center. i'll take you up on your offer >> please frame your comment in the form of a question. >> i will. i will couch my comment in the form of a question. so here it goes. on the meta data ver

the data was worse today. raised a number of questions, most certainly, will be chinese authorities react and how? some people had been drawing a line between the week july data and between august. might they be tempted to do some thing similar? decide.t let the market talking about foreign exchange, -- a lot of reserve money being spent on stocks. saw, it does you -- thefe haven trade euro is higher on the back of this chinese data. it will be interesting to see what happens when the book is handed over to london. oil has weekend on the back of this, you are getting a risk off theme. that is being represented clearly in your dollars -- euro-dollar's. anna: let's see how stocks are moving in hong kong. how is that we trade picture playing out -- weak trade picture playing out? y: it briefly rose, it has lost momentum, it is waiting for a fifth consecutive day. the shanghai composite is down 1.5%. trade data out this morning shows that exports in august fell 5.5%, adding to concerns that the economy there is slo

it's not just the data, it is also the decision. and what we are -- our decision project in looking at unintended impact in data collection and a variety well engineers, should be stressed testing new technology, devices for impact that may simply be not something that they were thinking about when they were designing or consideration, but having those values again, equality, democracy of equal impact are the way to get this right and i get the quote, we are still at day one of the internet. many people in this day say, it's too late. no, no, we are still in the early days of getting this right and -- but decisions we make now will last for decades for centuries and so we really need to do the hard work around fairness and equality and embedded internet. >> so much information has aggregated. the reverse is the reverse marking trying to get you the buy stuff, give you mortgage cheaper. what kind of steps you think we can take to prevent against that? >> i think that's speaking of a million-dollar question. that's so hard. it doesn't

we need to do better at capturing the data. obviously, things like the annual wiretap report kind of presents the problem. our investigators aren't going to pursue something that's that. >> there are some who say that there's actually more law enforcement available than ever before. that law enforcement, for instance, could collect met data which includes telephone recorders and location data. but aren't these tools enough? >> that's a great question. i think that, personally, i've had discussions with all of the f.b.i. field offices to have enough knowledge of how we investigate and, of course, having been in those field offices myself, and having investigated a number of different violations, agents will always try to get the information they need. so they're going to try everything possible. in some cases, if we're stymied by the inability to get information in, really, the most effective way of being able to directly access a device or access of realtime communication, we're going to try to find a way around it. sometimes th