data? they have the idea, but they don't have the resources to necessarily make that idea -- bring that idea to fruition. and, so, this is going to mean huge things for innovation as the mayor said, and huge things for our customers. we work with a lot of civic start-ups who are trying to do better things for their community and by combining private data that you see in here with companies, with the public data through the portal, we can actually start to make businesses around the data. >> i think we're at the very, very beginning of this. one of the best parts of the job is i get to hang out with other people who are really trying to do very innovative things and be very creative. i talk about some of the data sets we use. most people still don't know they exist despite great efforts from the city and others. and, you know, a lot of entrepreneurs that we're looking for is the way to get leverage, a way to build an experience or build a product before we have 100,000 users using it. open d

some of the things we do is with open data, we try to drive traffic to that data if it's open data, google as a search engine can drive people to these services or the data they are looking for. and when i hear jay speak about this, when they ask what data you have available, some of the things we're able to do is provide information what information are people searching for right now that they're not necessarily finding answers to. i think there's a lot of potential areas where we can work together. also on the standards, we're very excited about open data standards and taking the data and the standards that san francisco produces and bringing that to our network of other large cities that we work with. so, thank you very much and we're very supportive. >> all right. thank you. next speaker, please. >>> hello, i'm peter hirschberg, co-founder of gray area foundation for arts and [speaker not understood]. we've had the privilege to lead incubation efforts and hack athon and building in this greater space. i want to say if you think about the history of american government, data has really

i use open data. our company was founded three years ago using open data. we are one of the first sustainable companies to use open data and be sustainable innovation, meaning we can generate revenue and keep mobile applications for government going. we are really excited to be here today. this is our official launch of apple-liscious. i would like to thank our team, kevin, rick robbins, moment of all [speaker not understood] for my cto and co-founder. this was a very long, long journey with the city, but we had the help of leaders like phil, mayor lee, jay driving behind the scenes, the efforts for business to work with government. and i think we've accomplished that with this unique partnership moving forward. we're excited now there's cross-department collaboration with the san francisco arts, with the san francisco public art which has now been thanks to sean working late last night, putting the public arts into golden gate park. this is providing access. it's providing efficiency, and it's providing new revenue streams and opportunities for the city of

data out. we've had this data out since 2007, but it was buried in the bowels of our -- shouldn't say bowels. [laughter] >> of our health department website. if you've seen one of these, it's really exciting. now, that, that was -- i think we are going to be sort of a model for the nation and there's already other cities stepping up. but also internally it's done a lot of things. we work keeping data very clean and it's forced us to organize our data, integrate our data, have our just data be more comprehensible. it's forced us to have better mechanism for accountability for our own staff. we are about to launch a similar project for housing data so tenants and others wants to see property conditions before they represent or buy are going to have access. the secondary, i think, that i just want to sort of mention has been we in mid 2000s, we created a data product called the sustainable communities index. there we had aggregated data on the health and sustainability and social justice in san fr

i use open data. our company was founded three years ago using open data. we are one of the first sustainable companies to use open data and be sustainable innovation, meaning we can generate revenue and keep mobile applications for government going. we are really excited to be here today. this is our official launch of apple-liscious. i would like to thank our team, kevin, rick robbins, moment of all [speaker not understood] for my cto and co-founder. this was a very long, long journey with the city, but we had the help of leaders like phil, mayor lee, jay driving behind the scenes, the efforts for business to work with government. and i think we've accomplished that with this unique partnership moving forward.

data requests. thirdly, this legislation requires the development and consistent standards in how data is presented. now, for our colleagues and for the public, let me just mention a couple of data projects that i have proposed in the past to give some examples of what we're talking about, in part these have been my hack a thon challenges to the public. first i have been talking for a couple years about a towing [speaker not understood]. all too often residents in neighborhoods around the city wake up and find that their car has been towed due to sunday streets or some other special event they may not have known about before they went to sleep. ~ in 2011 i publicly challenged city agencies to provide data for towing times so that the city or its citizens could create an application to allow residents to input a cell phone number to receive a simple alert if their car is in danger of being towed. the mayor has indicated his support for this, but a year and a half later the towing times has not been r

data. you have to do things like this, where you get the community together or you have people actually talking about it because the demand side, as we were talking about it, will be there because there is going to be someone there. there have to be people working with it who are getting out there. i think this is what this city is going to be really powerful. in terms of other cities doing as well, chicago is doing some really interesting stuff. scary cool stuff. they're taking 3 in 1 data, pothole request and crime report and matching it up with social media. they're getting this really deep and rich picture of what is going on in the city. and you can do that with data when you think about it creatively. philadelphia as i mentioned, they are really active in open data. and new york, again with 3 in 1 is doing smart analytics. i think that's what you'll see happening as well, government starts to become smarter, make better decisions, better policies. this term algorithmic regulation, whi

and i'm pulling data from multiple data sources. here we have data from the city. we also have data from private data sources that read -- not going to mess with it. there's one of the variables now, the bottom you see there is median household income. we're pulling in all these different data sources, creating a beautiful visualization to tell a story at the neighborv level of how the city is growing. and some of the things you're seeing on the map here are a pipeline of information about both residential permits over the past decade or so, how has the city allocated permits throughout different neighborhoods in the city. and some of the other things you're seeing on the map is the approved businesses, the businesses are currently doing business in the city. one of the things we said once we started visualizing on the map the slow and more rapid growth of residential -- residential property in soma and then in 2011 you just saw obviously a huge residential boom in the downtown area. so, we've just actually -- we're a company in southern california. we just relocat

of data? >> our deal is major league baseball and they own underlying data. we create derivative data sets. we'll track the ball as it's hit off the bat and tell you where they are hitting it relative to the plate, how fast it's coming off. >> you're adding value. >> it's more than just -- >> selling it back to us. they take it, slice and dice it. >> and do their own analysis. >> more than anyone could sit, my grandfather used to do that, he got a triple. wild amounts of data, batting coaches, pitching coaches have never seen before. >> absolutely true. our next iteration, not tracking hit and pitch coming off but every player in the field and hit balls throughout, the throw back in. so we're going to have the complete digital record in baseball. actually five parks have it now. we're doing it in five baseball parks including san francisco giants. >> i can see why a lot of people would want this data. do they know yet whether it's actually changing the way the game is played? >> we know it is.

bites of data.give you how much data is in a data bite? think of it this way. one iphone 5 as 16 giga bites of storage. one tera bites would be 62 iphones, stacked that would be 19 inches high. one would be 62,000 iphones which would be higher than an empire state building. an esta bite would be 52 million iphones higher than the international space station. one dat da bite would be more tn an iphone. if it has five data bytes the data could store cell phone calls google search and surveillance camera in america for a very long time. >> what are they going to do with the data? >> i don't know. it's classified. >> gary herbert is utah's republican governor. >> you have seen the reports, e-mails, phone records, banking records, all of that. >> i have been on the tour i have seen the facilities they give me a general over view of what they are going to be doing but the details and specifics of it you need to get from them. >> all they would tell us is the utah data center is a facility for the intellig

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.

we get the data. the data is collected by the police department. it goes to the state. the state clean its up and we get it back as an electronic record. we are trying to shorten that loop and get it from the police department so we can do the work with the data but that's why the last data point that you see here is 2011. we have data from coroner's reports directly. there were seven fatalities. 12 traffic fatalitys in the first quarter in san francisco and seven for pedestrians. the other important point is almost half of the fatalities and serious injuries occur pedestrians. these are the most vulnerable group to injury and death on san francisco streets. i'm not going to go through every point in the slide but a few. a current understanding of what are the environmental causes of injuries and i think our traditional focus, and i think this is one of the ways we're changing we are looking at it as an environment problem, environmental right to save streets, as an environmental protection issue. not just simply who is to blame? who did something wrong? it's important

loan origination data is often decoupled from loan performance data, and there are holes in the data so that it's not necessarily representative of the entire market. that made it somewhat challenging for us as we went to write those rules. and we did a pause on the qm rule where we went and got more data. we were able to get more data from fhfa. they were very cooperative and collaborative with us and helped us on that. and ten we put out for more comment pause we were going -- because we were going to be using new data that had not surfaced before s so we made sure it was processed and complete. that data is being gathered over time in realtime on mortgages going forward, and it will provide a much more representative sample of what the mortgage market is doing so that we see the problems in realtime which we could not do very well over the last decade, and it helped lead to the crisis. >> and you -- one more place you mentioned. >> so the third category has to do with credit records. and in that case we have been buying the data from the same source that the federal reserve bank o

data. i think jay was talking about it earlier on. it's just a note of caution for you guys. >> how do we prevent vendors from holding the data? >> yes. >> we're still working on this piece with our legal department. we're looking to do and this is very exploratory right now, really looking at the contracting process itself and how we can use that as a mechanism. basically we want to do business with you if you're willing to share your data. as jay mentioned we don't want to be held hostage. we don't want our data to be held hostage to the companies. as we figure this out, we'll continue going about it and providing updates. yeah, i think that there's actually a lot of companies out there that are being powered right now with our open data program. so, if there's any that aren't represented here today, please let us know. we would love to feature you. because this is the other story that i was talking about. open data is demonstrating economic growth and job creation. so, yes, it's about tr

at this time we have about 500 city maintained data sets, but there are literally thousands of data sets that we could put out to the public. we have known in recent years that the release of government data and improved partnership between government and citizens has led to many successes at improving government. we know this is good for open government. this is to help provide more information to the press, to the public, and really ensure that as we analyze our government data, this is leading to innovations throughout our communities. i want to just take a moment because some of our colleagues have asked me, what type of data are we talking about? let me give three examples of things that i think we could really move forward on. first has to do with rec and park. four years ago the very first meeting i had with now director phil beginsberg, i asked him when the city was going to have an online application to reserve picnic tables and barbecue pits. ~ last year they finally put this data outed to the public and a local company'lyerction us answered the call. i'm excited there is final

that has not changed any of the data that was required to be collected under the electronic trip data requirement that have been around for a couple of years now. >> to clarify director hienicke, a through k, on pages 59 and 60, you will find the exact same items being struck from the previous section and page 53. it is exactly the same items that you previously approved that are currently logged to be provided. we are changing the requirement, the provider from the color scheme to the dispatch service. as director -- said, adding the real-time requirement to make the application work. >> and the real-time requirement, not all of this information is going to have to be entered in real-time by a taxicab driver, the number of passengers, what else is a driver going to have to enter? >> the only thing the driver would enter is a number of passengers, and using the vehicle number. (overlapping speakers) whether a vehicle is available or hired as a status of legal information that would have to be pushed out of the system so the system can know whether to offer that vehicle. >> may be the

loan origination data is often decoupled from loan performance data and there are holes in the data so it's not necessarily representative of the entire market. that made it somewhat challenging for us as we went to write those rules. and we did a pause on the qm rule where we intent got more data -- able to north data from fhfa they were vert coop different with us. and then we put out for more comments because we were going to be using new data that had not surfaced before so we made sure the process was full and complete. but that data is being gathered over time. in real time. on mortgages going forward, and it will provide a much more representative sample of what the mortgage market is doing, so we see the problems in real-time, which we could not do very well over the last decade, and helped the crisis. >> one more place. >> the third category is credit records, and in that case we have been buying the data from the same source the federal reserve bank of new york has been buying data from for a number of years. they have used that data for a number of years to publish their rep

we don't have transportation data on them. anecdotally, we hear they travel from further distances than the half mile buffer. but we don't have any data for that and we would love to be able to figure out how to reach those, at least the parochial system i hope -- i imagine there is a centralized system. it's been a little difficult to find those, the right contact person for that. if you have any help with that, please let me know. so, based on this data, we saw research article and that was identified as best practice of how do prior advertised schools in a school district look at pedestrian injuries ~ and looking at how to prioritize capital projects around schools. so, i know this is in your packet, but i brought copies anyway. this is both for the noninfrastructure -- these are assistance for noninfrastructure and for capital projects. thank you. the top sheet is for programming and the second sheet is for the capital projects. the way we -- for programming we have a different way of looking at the prioritization projects

there are a lot of data gaps. i was a local elected official and we worked very hard to get schools to collect data on incidents of violence in the school and, frankly, there's a lot of data integrity issues involved. you don't want to be the school that has the highest number of incidents in your district. and so there's a built-in perverse incentive to sweep things under the rug. and so part of the challenge moving forward and i have had many conversations with superintendents and law enforcement officials as well about how we can address this data integrity issue and how a school won't be hoisted by their own petard because they had the courage to collect the data when other schools kind of look the other way. so, again, it's a hard question to answer in ways that are other than anecdote. there have been survey data and things of that nature, but i feel uncomfortable saying unequivocally this is what we know, these are the trends. i like to be evidence based and i'm not sure the evidence allows that. >> roslyn,

the taxi police collected data, collected data from the companies i believe what little they have to offer. like a mandate. the companies are supposed to semiannually supposed to produce a financial report. i don't know. print terminals in the back safety issue, accidents do happen, bloody noses, broken heads. the small-cap that we are getting, it is hard to get into the backseat without hitting one with your knee, or head or elbow. try crossing over. i know none of you get out of the house. you went to college but common sense was not on your course. smart apps, we need that. what is the point here? providing financial data. we are delaying monitors for ramp aps. >> next speaker. (calling names) >> directors i would like to echo some of the things that john lazaro mentioned as far as developing his own app,

collecting the data. perhaps there would be more of a push toward cost- effectiveness. but i don't know. it's hard to tell. >> the airline industry receives enormous subsidies in part in exchange for their use of public resources in their agreement to operate as common carriers. again, this is begin more personally, but i think the choice was made in early pioneer active deregulation in 1978. the choice was made to allow airlines free choice of setting their own prices at least a mystically. -- it domestically. but those provisions i showed you earlier requiring them to respect travel as a right and require them to operate in a nondiscriminatory way as a common carrier, they were retained. the key thing, if you were to transfer security back to the airlines, it would be to maintain and actually enforce the continued obligation that they actually operate as common carriers and free travel as a right. as ad tree to travel writer. and if you don't want to take and treat travel as a right. all comers, then yo

linking the police department's records to the general hospital's data. approximately 100 people are killed or seriously injured and the trends have been stable over the last 10 years and our per resident rate and 97 per 100,000 population is five times the national health target for the nation with respect to pedestrian injury. seniors have a fatality rate four times of adults and 11 times youth in the city and we know based on research there are evidence concentrations with respect to injuries considering when we have busy streets where cars are traveling faster, higher population densities as well as concentrated poverty where we see populations more reliant on walking as transportation. this sum rices the annual cost. >> >> in san francisco and as supervisor yee noted in the introduction district 7 ranks among the higher districts for the total amount of injuries. it's notable that approximately 15 million annually is seen just at san francisco general for the injuries and 76% of the total cost is paid for with public funding. established risk factors