computers that combine personal data and psychological tests to predict human behavior can something like this possibly work the answer is yes. david carroll is a media professor at parsons university in new york he battled for months to retrieve the data that cambridge analytical has on him and he was amazed at what he discovered. is the excel spreadsheet that they provide. it's broken into three tabs core data election returns and models the model on the one hand there were dozens of personal data items the firm gathered from the web registered now this is all the voter data here and this is what would normally be public in voter records but it it's all accurate it has the day i registered to vote and it has figured out my birthday my address zip code down to you know all of my address is connected it to census information it's connected to all the different kinds of elections so u.s. congressional state senate state house state legislative then you have some consumer information here like the designated mark information and f i p s it is another kind of consumer voter code on the o

my world, a technology trend is not united states pick these are fundamental shifts in human behavior, all datadriven. you know, and the reason that i think we keep missing things is because america has become a nation of them were not thinkine about the future and i should mention that i am politically independent so, but our current administration is obviously, junior, backwards thinking and antagonistic towards technology and science. .. ie far behind china in key areas and that is a problem we are behind russia and some areas of technological development and we have three more years of not getting ourselves caught up which is a critical period. so at that period of transition the beginning of the end of this is the beginning of the end of computational technologies so it's a standard types of computers we are all used to. while we are busy looking backwards and hiding yesterday's and scrabbling over yesterday's news everyone else is moving forward. not only are they moving forward key areas of technology for new alliances being built. the fact that china could emerge as the global leader is

operating and that is kind of bike design like the data-driven approach we can look at what the behavioral datais and then determine what is going to get more time or to spend more money and that doesn't get into anything about what my actual intentions are. so yes, actually talk to people. >> forcing the connections would be a way of interrogating the idea. even the idea that there is more where there has to be a basis to these relationships. >> can i add one more thing? so much of what we are talking about is the leadership role. those that are in charge to have these ideologies filters into the culture of the companies and it is imperative to think about the more systemic contextual way that these ideas get played out and how that is baked into your engineering goals and efficiencies. what is your performance review and having some control over those questions seems to be another way that we can cut into the overall culture. >> we are going to open up to audience questions if you would like to ask please use one of these microphones. we are going to this one here and then the next one coming

surveys are one of the most effective means of gathering data on this behavior. lly, are indications are that the data is quite valid. it tells us something about the size of the problem, types of people involved, and what drugs. over time, it tells us about how that is changing. new problems are emerging, what progress are we making. up 1980, we saw a continuous increase in most forms of illicit drug use among young people. since then, we have seen a gradual decline in illicit drug use among young people. the major exception has occurred with cocaine. we find that although there has not been an increase in the number of people using, those that do use are using more dangerous forms. smoking the drug more often, using crack. we have seen a doubling in the number of young people using it every day, and we have seen a doubling in the number of young people who say they have tried to quit and been unable. >> it is like the group can't make the bad fit better. >> i don't want to have to look back 30 years from now and say i wish i hadn't done that. >> along with this

about pollher data worker behavior. how long does it take for a provisional supervisor to process a provisional voter? we take all of this information and we crunch it. we take this data and calculate the capacity of each of our polling places. we then take that information and put it into software before assigning people to polling places. the goal is to keep every , but not havebusy any polling place be overwhelmed. we also protect the number of voters by the hour at each voting place. we use this information to determine how many supplies and put in in every location. and then a balance of how many types. keep in mind, people always ask how may ballots, well, it is not just one ballot. in our county, it is over 400 different ballot types that you have to distribute through the county. you have to calculate the number of each of those types. so it is very complicated. we also assigned the number of poll workers based on projections. we do that for pete hours, so we don't have problems. the number varies. it is not just

are operating and that's kind of by design, the data driven approach, we can look at what the behavioral datais and determine what's going to get to you spend more time or what's going to get you to spend more money. and that doesn't get into anything about like what my actual intentions are. so, yeah, actually talk to people. >> and forcing real connections instead of virtual ones would be a real way to interrogate your idea. and even, you know, mark zuckerberg is coming around the idea that there's more to-- there has to be some real basis to these relationships, otherwise-- >> i have one more thing, which is, i think so much of what we're talking about is like the leadership role that, you know, these individual-- especially in the way that, the men who are in charge who, you know, have these ideologies, but that filters in the culture of these companies and it's actually, i think it's imperative to think about the more systemic contextual way that these ideas get played out and you know, how that is baked into what your-- your engineering goals are, your efficiency, your, like, how is you

data across time. across multiple measures, as i was telling you about the academic, the behavioral, and the culture climate measures, and across various groups. you can never look at any data point as one number. today if i stood here and told you my graduation rate for san francisco unified is 87%, that really says nothing, but the real data lies when i break it down by sub groups. lastly, more than just presenting the data, the use of the data, is in the dialogue that goes behind the data. so as an example, we have shown you some conversations that we have with school communities, with principals, school leadership teams around the data. when you ask them, can you determine your school priorities? what are your outcomes, your targets, but for which groups? ask which group questions. going deeper into the dialogue and asking about the practices, linking the practices to the outcomes is, again, the richness of the data, the sense-making of the data, comes through the dialogue from the data. yours is a glance or a glimpse at some reports that are available to the public. we do present right from board meeti

we also gather data about our poll worker behavior. how long does it take to process a person. how long does it take for provisional supervisor to process a provisional voter. then we take all of this information we crunch it. we take this data and we calculate the capacity of each of our polling places. then we take that information and we assign people to polling places because the goal is to keep every polling place busy and be efficient but not to have any polling place be overwhelmed and have too many voters and then have lines. we also project the number of voters by the hour at each polling place. we use this information to determine how many supplies we put at every location, how many booths, how many other supplies we need and how many ballots of each type. keep in mind people always talk about how many ballots but most election officials, it's not just a ballot, it's 1400 different types of ballots we have to distribute. we have to calculate the number of each of those different types. it's very complicated and we also assign the number of poll workers based on project

obviously, we believe that implementing epic will be one way we can improve our data recording capabilities, also bringing on behavioral health services into the lean process. it's probably the last big group within the department that we still need to spread lean and do education and training with that work force. as we continue to have more and more of our reimbursements based on performance measures and payments, it will provide incentive to develop more robust data reporting capabilities. so that's just a brief orientation to our new strategic plan and performance for this first quarter. when i come back to you in the next few months with quarter one data, ideally we're on the right track, we'll have more data available. that's our overview. i am happy to take questions and comments. >> thank you very much for an outstanding presentation and look forward to your additional one and especially some of the variables that you mentioned that you need to look across rather than separate. so well done and thank you very much. >> thank you. >> commissioner? >> i would like -- you're deciding as a network to use common lang

behavior. if you want to empower consumers, you have to give them not only access to the data on the iphone or but tie it to the ecosystem of the insurance payers that's how you start to modify behavior you can start to create incentives for doctors and other health professionals and consumers themselves it is a good first step, other steps can be made, too >> in light of that point, do you think apple will be on the forefront of being more transparency to consumers in terms of health? you hear this is one of the holy grails that tech companies have been scrambling to tackle. >> i think apple is drawing a boundary, and i don't have inside information, listening to reports over time and the recent one, what apple is saying look, we know that sensors are getting more and more powerful more things we build into a product like the watch, we make it the way in which users can access and see the data. but seems to me at this point apple said we're not going to move into the really heavy lift of data which is used to change behavior, reduce costs, manage outcomes that's clearly the way the whole heal

we measure the square footage, then we collect data about voter behavior. we know historically we look at voter turnout and we look at where people live and we look at where they vote and we measure when people vote by the hour. and this is something that's kind of unique and i don't think too many counties do that. did they vote a regular ballot? a professional ballot or did they just drop off a vote by mail ballot at that location and then we also predict how the voter will behave on that election day. so we look at how long it takes a voter to drive to their location. we look at how long it takes to park their car how long it takes to process that voter and we gather that data. we also gather data about our poll worker to be there. how long does it take for a provisional supervisor to process a provisional voter and we take all this information and we crunch it. we calculate the capacity of each of our polling places. we inpresident trump and take that information and put it if had to soft ware and assign people to polling places. because the goal is to

backs and watch out for their own security so now there's concern that this data could also be used to isolate patterns of behavior suspicious ific individuals so hackers could identify people by job to learn where they go next jeffrey lewis here suggest that that kind of data could be used to follow staff from one secret missile base in taiwan to another secret facility for example so the story has started a bunch of conversations online especially about data security and transparency in the dozens of companies that have apps on your devices right now that are basically tracking all of your movements and behaviors what's unique about straw is that they've made this data or some of it visible for the company says it's global heat map represents aggregated anonymized view of over a billion activities uploaded to their platform it excludes activities that have been marked as private and user defined privacy zones the company says we are committed to helping people better understand our settings to give them control over what they share so let us know what you think about this story you can tweet us your questions an

well the social network claims it won't analyze kids online behavior for advertising purposes but it is secretive about what will happen to the data. shift says keep an eye on your kids. and now are download to the shift. visit to the museum can be a rewarding experience but what if it's just too far away. the world's biggest search engine google has a solution that google arts and culture app lets you virtually visit more than twelve hundred sites in seventy countries for free. market works are indexed using tags and sorted by date of origin. and even by color . google's cardboard platform lets users even enjoy places in three hundred sixty degree virtual reality making places like india. taj mahal practically palpable. just like this virtual classical concert in sydney. and by zooming in users can take a closer look at various art works what's the painting invent goes famous bedroom in our on. top of this week's app shop. do you want to find out more about the digital world then check out our facebook page d w digital. still find all the latest news and trends as well as interesting apps exciting gadgets and even tutorials and o

>> facebook has the largest data repository on user behavior and they probably know things we do not. my guess is there beginning to see declining interaction and they know people are not spending as much time, not getting as much of a good experience in as the result there making radical changes. i think what will happen is it will not hurt facebook in the long run because wherever there are 2 billion people there will be plenty of advertisers.>> thank you so much for your insight. >>> in september amazon announced it was looking for the second headquarter site and it looks like boston may be their top pick. amazon is reportedly in talks to lease offices in the city which is becoming of popular destination for tech companies. yesterday the boston globe reported that amazon has been looking at the property for some time with an option to eventually double the amount of space. the company is expected to make its selection by the end of the year. >>> coming up next, technology that is how police zero in on shooting scenes.the bay areas been credited with saving lives across our country.

behavior last night. african-americans should know the data shows during the obama years they became worse off relative tomunities, regressed, and blacks, hispanics and so forth making real progress because the most powerful impetus to raise up communities, and vibrant economy so there is opportunity, and 2% growth. heather: we just showed chuck schumer his reaction throughout the speech, he is clapping right there, talked about the 3 million workers who have gotten tax-cut bonuses since they passed the tax-cut plan. >> that is very important. it is fair to say if you cut business taxes it creates more wealth for everyone seeing this. we expect to see wages rising, not just bonuses but businesses will be growing more rapidly, more competition, and empowered. had the cash to pay more. heather: before the plans passed, you said things would happen, you were right. it was a long night. 20 minutes after the top of the hour, a north korean man who made it out of the rogue nation, carly shimkus with his incredible story just exploding on twitter. ♪ heather: donald trump's state of the union the most tweeted in

tonight we will share examples of both content accessed on and behavior around the devices that concern us. we feel this data must be acknowledged thoughtful when allowing unrestricted use on middle school campuses where children range in ages from 10-14. we share current scientific data connecting noninstructional activity to social and emotional health in children and teenagers. we ask you, what are the guiding principles behind your technology policy and how is it that the majority of san francisco middle schools interpret your guidelines to create policies restricting recreational use of devices and yet a handful of middle schools interpret the guidelines to allow it? please refer to 2a documenting that. we ask you to consider evolving policies to reflect the changing relationships our children have with it. we're here tonight in the spirit of encouraging future conversations and look forward to those interactions. thank you very much. >> public: i'll be brief as i know this conversation will continue throughout the year and many years to come as technology evolves and changes. but we just want to bring

behavior. they are all data-driven. you know, and, you know, the reason that i think we keep missing things is because america has become a nation of, when i think about the future. i i should mention that i am politically independent. but our current administration is obviously, you know, backwards thinking and antagonistic towards technology and science. the problem is that we are already late to the playing field. where very far behind china in some key areas of development. where behind, and that's a problem. where behind rush in some areas, he technological development. and not only, we have three more years of not getting ourselves caught up, right? and this is a critical time. the next ten years are a big period of transition. this is the beginning of the end of smart phones. this is the beginning of the end of confrontational technologies, so sort of the standard types of computers were all used to. while we're busy looking backwards and fighting yesterdays squabbling over yesterdays news, anybody else's moving

companies are leaving bread crumbs, that can give you great insight to customer behavior and trends if you want to pay attention to data. >> we had carnival cruise on, they interpret data with you >> they do carnival bake a customer in the it systems intelligence range. they are using achlt i to allow them to get predictive understanding. if you think about a cruise ship, it is a floating city, whether you are a city or a big organization, you have the same security, it resiliency, and carnival is using ai, and splunk to get that experience >> now i want to ask you something, because you are a straight shooter and imaginative. block chain fascinates you people are trading block chain, they don't know block head to memphis, to tina turner. what does it mane? >> cloud offering, data lives anywhere and data -- distributed fashion. block chain is really just this really interesting new iteration. been around for a long time on massively distributed systems that can operate on a trustless mechanized manner. >> a lot of functions of banks. >> there is all kinds of threats and opportunities out there. we have been looking at

whole many steps you take it's already heartbeat and like all the data and based on that you might be able to. enough. collective behavior management. that. india's refuse crisis is being fueled by one thing above all plastic. plastic is an essential part of modern life it can be produced cheaply and easily and it's very long lasting and that's the problem. i think the notes the for use plastic to make disposable packaging. things that will only be used once and then thrown away. when the material properties of plastic become terrible because it doesn't decompose. unfortunately people on thirty to two that have. to eat this one to use single use batiks so really having to do some i don't know if the reason you don't seem to have had your game use was replacement or plastics and the cost of the plastic the card the stern. conventional plastic can stay in the ecosystem for one hundred years and more. n.v. green bags biodegrade in just a few weeks they're made from plant olson touched a boy just. to reach at least printer to print if i can please buy enough to those in need and we'll be unexplored two hundred percent maybe

san francisco health network, which has our hospitals and clinics and behavioral health come poep -- component, so i deal with the databoth sides, which is how i get to be here. so the department uses data pretty extensively. we have very little choice about having the data. most of the time large amounts of data are required almost us for state, federal or grant-related reporting. and the medical records that are used for clinical care. so we have lots of data. and we also use data for program planning, for billing, for services, but most importantly, we use data to improve program quality and service delivery and health quality. so we do that by tracking outcomes. we do it for directing programming to populations most at need or patients most at need. and for evaluating and setting policy. so i'm going to give just a few examples, because i was told to keep it short. before i even do that, i will direct people -- most of the data -- not most, but a large amount of the data the health department collects, at least that that is not specific to patients, is publicly available. probably the easiest and most user-friendl