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

and they're going to share that data with us. and i believe that data is going to be value with us as we figure out challenges like the small businesses along west portal or in terra val, along 3rd street who see their vacancies and they ask the mayor, how can you invest in neighborhood strategy work a little better with us to attract people to come and be customers in our neighborhood, coffee shops, restaurants, salons and other things? how can we do that? we've always scratched our head saying, you kind of have to do it yourself. you have to create your ideas yourself. and now we're saying, well, maybe there is data out there that could help establish some best practices, can help maybe quicken the ideas of what might be more attracted to our smaller neighborhoods. well, this is the kind of data out there, analytics, if you will, the analytical model that are being created by our local san francisco companies like motion loft and others, who are using these data yet can share it with the government as motion loft has agreed to d

from 2009 because that was the most recent data publicly accessible to us. 2010 there was a severe glitch in the classification data system with the police department and we weren't able to use that data and of course now that you upgraded our ssz this is the poverty opportunity to do a new evaluation how far we have come and whether the racial disparities still exist or not and how effective we have been and absolutely that's what we are recommending and i would love access to that data to do that analysis. >> we are happy to work with you. >> great. >> commissioner. >> yes. i just had one question and i want -- since you're doing this going forward because going forward is what i am interested in. the question i have is when you do your proportionsate analysis and you say there are 7% african-american residents in san francisco and a certain percentage of arrest rates are you used data of who is arrested based on who is a resident of san francisco? do you have access to that data? >> the arrest data includes san francisco residents and people coming into san francisco and arreste

it had like some weird geo data like it was in some form i couldn't use. i just dropped jay a note and like within 24 hours i got the data fixed and it was perfect. so, it's those kind of relationships that matter and having the right people in place. so, i think the chief data officer, these guys will end up joining a rock star team. >> not a question, but just a comment to say thanks to the city's innovation office. we're a small company from ireland called building i. we take permit data from cities and show it to anyone who wants to see it. we started off in ireland, discovered the san francisco data and came over here and now we've got an office up and running here with san francisco data. so, it's great to be able to do that. just one note of caution of how do you prevent kind of third-party data integrators from owning that 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

our city traffic engineer ricardo laya has developed some data that will help us target the resources where they can be most effective. but a great partner that's really brought a kind of higher level of data analysis into the picture is the mta's co-lead of the mayor's pedestrian safety task force, and that's the department of public health. so, we're happy to have thomas aragon here from dph. (applause) >> good morning. thank you for being here. one of the ways that i think about this is that pedestrian safety is an important public health issue. and the way i think about it is that i'm raising three children here in the city. i have a 16-year-old, a 15 year old, and a 12-year-old. and what we want -- we want the city to be safer than whether they're biking, walking, going to school. and so that when we invest in pedestrian safety, we're really investing in the future of our city in our children. and, so, from our perspective, pedestrian safety is a public health issue and it's really important for us to invest in making sure that it's safe. the other thing to think about when we th

in the business world simply use structured data -- what if stores and places you went in the world used simply structured data? that is the kind of technological change that would enable the kind of competition on privacy we need to talk about. focusing on usage in focusing on proving -- improving transparency. >> let's talk about self regulation. facial recognition with respect to digital is one of those things. do we think self regulatory efforts have worked? having fallen by the wayside. we have the little code of conduct. we have the little blue icon. when we are talking about facial recognition and digital science, is that form of notice effective temple what needs to be done to strengthen that sex -- self-regulatory regime. >> we mentioned several self- regulatory programs. if a company says we adhere to these guidelines and they do not, that is a cut and dried case. the ftc can provide backup in that area. as to whether the companies are complying and whether there is a big problem, a lot of this is in the early stages. >> i am it really proud of the work we did on our self- regu

and soon san francisco intel is treats calls cope's when you make a louder than average noise and uses data mining like facial profiling of every pulse of boy so the promo was pulled but the program expands moment of homeland security on touchable say they will simply no longer tell us other cities that deploy these robo calls. it was to. please describe to us a world of so called intelligence streets you might be having an intense conversation with a friend you might be having a friendly argument over a sports game or whatever it may be a political situation the cops could be called in then you are treated as a criminal in till you can be proven innocent of some kind of criminal activity and the problem with that is obviously that it is the complete reverse of what the american justice system is supposed to be we are supposed to be innocent until proven guilty but with this kind of pre-crime technology where you are held guilty in till you can be proven innocent is truly a kind of remind already report style absolute science fiction when we're talking about this kind of stuff but unfortuna

little did mark know that just a few years later he with use that same data to make his own discovery and far from his last. his desire now, to share some of his glory with the rest of us, is tonight's bay area proud. >> the view from outside mark showwalter's window in mountain view is nice enough. >> what we are seeing here -- >> as far as he is concerned, it is nothing compared to what is on his computer screen. >> maybe you can see the little thing left over right there. >> now, don't worry if you can't spot it right away. mark has a knack for spotting things in our solar system no one else has ever seen before. >> i'm a very much a visual scientist. >> he is working at nasa and now studying, mark has an impressive list of discoveries under his belt. the rings around jupiter. multiple rings and planets circli circli cirque uranis and now around pluto. one of mark's great skills seems to be his ability to strip away all of the visual noise that comes with taking pictures in space. and revealing what is hitten beneath. he also has a great instinct for knowing what to look for and wh

of my data or the re-use of my data. if we have that as our guide, i think the question becomes the confidentiality and the business practices that happened around us outside of the consumer. that tend to block access to a lot of bad data. from the consumer viewpoint, we would love to see quality and value data. as a whole, the challenges were individual consumers and patients and families are not probably ready to be the demand for its for unlocking that information. they are simply not using public reporting and other quality measurement data for choosing physicians at the volume we would like and it is a chicken and an egg because there is a lot of data that is not particularly useful to consumers. i think it is an important question and my hope, as we began to see quality measurement strategy is in multi-settings, began to connect the dots. we want to take a whole person orientation. we want to think more holistic play about a person expresses an episode care and measure around that. >> have two more minutes. >> thank

. >> it should gives us richer data. once we've told you what the maximum affordable is, come back to you with a resource mix and an understanding of what that price point associated with the resource mix will mean to us in terms of opt-out. >> okay, that's very good. thank you. >> good, thank you. >> reedstrom. >> welcome back. >> thank you very much. so, what we've done, then, to respond to some preliminary questions was to provide updates for power availability as ms. halei

. >> it should gives us richer data. once we've told you what the maximum affordable is, come back to you with a resource mix and an understanding of what that price point associated with the resource mix will mean to us in terms of opt-out. >> okay, that's very good. thank you. >> good, thank you. >> reedstrom. >> welcome back. >> thank you very much. so, what we've done, then, to respond to some preliminary questions was to provide updates for power availability as ms. hale said on average. one out of nine years is dry. but if we turn the clock back to 1987 through the early '90s, five out of six years were dry. and, so, it's not really nice and predictable when we tend to have droughts in california or dry water years. same way in the 1970s, we had a couple years out of four that were dry.

closing the achievement gap we can look at them again like i said unfringingly and what is the data showing us and what can we look at and if we're looking at the data like a layperson it does seem like there are challenges that the emersion programs are showing, not what we originally hope said and as a parent of english language learners not what the district is telling us your student will do better in -- in real measures in dual language emersion so it doesn't mean -- i don't know if we can make any decisions about the pathways but we can definitely say what do they need to live up to their potentials? >> i believe also that human resources has prepared a report that shows us a snapshot of our staff and how many are bilingual and which languages and placed and i think that would be interesting also for the committee to look at. >> thank you. we had a presentation from human resources yesterday and they're getting back to us with the questions but told us about the system is cumbersome. it's a lot of filling in just manually. they couldn't tell us -- for instance speaking about the subs. ho