We collect name, age, address, booking number, case number, sf number. We have our own jail Management System that somewhat interacts with court Management System and somewhat interacts with the other systems in criminal justice and i will echo what Christine Deberry said. One of the things that i hope will come out of this is that we will gather, identify first, and gather excellent data, so we can make good decisions, and were not there. And i think that was said by a number of the other people before me. Were not there. Im hopeful that the Justice System will be able to come up and get together and there will be more investment in it, so we can get the data we need. And one of the things that im doing in my budget is my jail Management System that collects all this data and more, but also interfaces with other systems, but not as much as we would like. We dont get regular reports that we would like. Its very, very complicated to get a report out of the system. Im asking in my budget for a new system, which will be a lot more flexible and well be able to do a lot that we cant do now. So what for what purpose does the Sheriffs Department use the data . Well, on the big in the big picture, we share the data to better understand and evaluate who is in our custody or in our programs. Last year actually, it was in 2016, we were very involved in the reenvisioning the jail with Many Community members at that and working on that and we were very frustrated at that time by the inability to capture data that we needed for that. We do this and we work with our criminal justice partners as much as possible, so for the reports that the d. A. Talked about and james bell talked about, much of that came from our jail Management System. How does the Sheriffs Department use the data to advance equity . In one way, we use it to identify the different the Racial Disparities at the difference Decision Making point in our jail. One of the things were doing is doing research to gather data to inform future policy decisions about what we learn through our Research Project that involves who gets out on alternative sentencing and who does not. As well as working with the pretrial diversion project, identify wooing gets out on pretrial and who doesnt and why not. And so those are things going on right now. The new pretrial system, Risk Assessment tool, has been going on since may, 2016. And its shown a lot of improvement, but we still dont know how much. And over sustained time, so well look at that as well. So on the next page, i gave you the data collected. Were one of the few agencies, where we do collect race and ethnicity and in a robust fashion. We have it so many of the departments depend upon us and come to us to pull our data, for example, the Police Department asked us to provide data to them for a report they were doing and asked us to provide that because we had that about people who had been arrested. And so, as you can see, theres robust race and ethnicity data. So thats pretty much what i came here to tell you tonight, but if you have questions, im happy to answer them. Thank you, sheriff hennessy. Its although you didnt present something to us before, what you brought today is very helpful, i think, for us as well as for the people that are here with us at the hearing about these key questions that were presented to you. And this this hearing, this particular hearing, is partially in response to a request that former mayor lee gave to us before he passed away untimely and left us. As a commission, as an agency, weve been looking at the question of disparity on many levels, including and specifically racial levels and he asked us to begin this review of Racial Disparities in that sense and we do have from the Mayors Office a representative. So thank you for that and thank you for putting that together. Okay. Any questions or comments right now for the sheriff . Look forward to having you back to go more deeply into thank you very much for the work youre doing. Thank you for being here tonight. Next we can go to the San Francisco unified School District. Thank you so much. And the superintendent is also with us tonight. Good evening, commissioners, and good evening, members of the audience. Thanks for giving us this opportunity to present our data practices and our data use. So i will begin with the first slide. I want to give you the scope of the data that we collect within San Francisco. It begins at the time of enrollment, where we collect all the demographics. As you can see, it increases to the point where we actually look at college and career, not just graduation, but also through college. So we track longitudinally throughout those years. When theyre in San Francisco, we measure the whole child. So we look at both academic, behavioral, social, emotional and Culture Climate data for our schools and students. We want to use data as a flashlight and not a hammer. So we try to make sure that data is used for Continuous Improvement as, as i said, for a flashlight and not a hammer, but keeping in mind the equity imperative. We use data for evidencebased decisionmaking and definitely for accountability. So when im talking about accountability systems, you know that all accountability systems are designed to measure the district. And similarly we do measure the district. The number one goal is equity. Therefore, data has to measure equity. And the second goal is academic achievement, so you can see evidencebased Decision Making, whether its right from the classroom level to the district level. It looks at evidence and data and lastly, accountability goal in San Francisco. At this point, i will show you lets go a little deeper into the equity imperative. How do we look at equity . The first way we do so is by holding High Expectations or equivalent outcomes for every school within the city. So even though you see variable performance of schools within the city, they all are held to the same standards. So when data is looked at, its all at the same standards that we look at those schools and we look at the disparities that exist. So High Expectations are there for all. We also realize that inequity starts at the input level. San francisco unified is a district of school choice, where parents get to choose their schools. And as a result, right there at the onset of the input variables, you can see differences in student demographics. The segregation, concentration, poverty concentration and race concentration in certain schools versus others. More english language learners, more special ed population. So programs in some schools versus others. Other than that, the other input variable that goes into the school is the teacher factor. So even teacher stability and experience is variable across schools. So equity has to begin right in the beginning. So we begin by actually looking at these input factors and giving more support to the schools that have the higher challenges. Now i will move on to evidencebased Decision Making. In order to really make good decisions, you have it look at data across time. You cant look at it at just one point in time. So in San Francisco, we do look at 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 sensemaking 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 meetings and parent forums to definitely most of our data for our School Community. So we have the multiple measures displayed through time. But what i want it assure you is the aggregation of the data. We also look at it by homelessness, public housing, as well as foster youth. We also disaggregate both as an intersection of race and poverty as an indicator. Lastly, we want to talk about theory of action. We believe that as we continue to build a professional capacity, to make decisions with data, to be empowered with data, we will see our Student Outcomes improve and outcomes at a higher level because there will be that deeper information to make decisions and take actions. So thats our theory of action. Lastly, we do partner with others. We share our data. We love to listen and learn as we did in this forum from our partners and from other School District or other city partners. Weve given you examples of when and how we partner with the community, as i mentioned, through the forums that we just held in november, with the cities and the measures built into the children and our families document. We also have Research Practice partnerships where we have a Longstanding Partnership with stanford. We have currently 28 Research Projects that are in collaboration with stanford that have not for them, they get the fieldbased insights and when get the research to apply. Okay . Last but not least, with the state board and with other california districts, so we also have partnership with all the big, major california districts. And we share our data with them. Thank you. Thank you for being present. Any questions right now, commissioners . Any comments right now . Thank you so much for being with us tonight. Quick question. I know theres been an increase in antibullying efforts. Is there any way that our School District is tracking the bullying going on for a variety of reasons in the School System . Yes. We have a Youth Risk Behavior survey, which has specific questions around bullying and its administered and we do report the results. Even in our Culture Climate, surveys that are given to teachers, staff and students, we do track that. And its internally . Yes, correct. Thank you. Commissioner ellington . Just because the superintendent is here, i would like to ask a quick question. Some of these facts we know and weve seen over the past 20 or so years. Can you talk a little bit about how this new data or facts presented today inform some of the things you are looking to implement . Good evening. Thank you for having us here tonight. One of the things that i i think its important for a superintendent to do is spend the first three, four months listening and learning, gathering data, present a report to the board on our findings, strengths of the district and initial impressions, and areas of growth. As you said, we know over time thats something weve presented when we look at the data over time. Especially the data around africanamerican youth, the disparities weve seen, weve seen over time. What were putting in place now is a program called pitch. It really looks at targeting our resources toward africanamerican youth, resources, professional development, raising the capacity of the adults that are in contact with africanamerican youth and thats one of the things that were putting in place now. Were looking at 20 schools, targeting the 20 schools. We have schools that are historically have underserved and then we have high gap schools. So there are schools that if you look at the central number, you would say 75 of the students are profish proficient. But then you look at the data, its 90 of white and asian are proficient and 20 africanamerican students. So were targeting in a laserlike way around the students that we know need us most. One of our core values in the district is equity and social justice. That means that the students that need more receive more. I know earlier you mentioned social, emotional and cultural climate. Can its an open question, but when i walk into schools, particularly in bayview, there is a visible difference in general appearance and i would assume theres some correlation between that and academic outcomes with that. What are some of the instruments that you use to measure that . The four socialemotional indicators that we look at, mindset, selfadvocacy, social advantages. And, yes, we do see differences across the socialemotional indicators across schools and sometimes even within a School Across lace and even across englishlanguage learners, we see a different. In Culture Climate, we look at a sense of belonging. That sense of belonging indicator is when i see most differences. And once again, what were doing is looking at the schools that one of the data points that you will see in your presentation is that tier 1, 2, 3 schools, and were targeting more resources to tier 3, and whether its around socioemotional efforts or working with the School Communities to do just that. Its more resources going to the schools that need more. Thank you, both. For the record, i want to make sure that everyone knows that dr. Matthews is our superintendent. And thank you so much for being here tonight. And ms. Khan chief of research and planning. We look forward to working with you more in the future on all of the issues of equity. Thank you. Next, i would like to invite to the podium, deputy chief connolly from the San FranciscoPolice Department. Good evening, madam chair, director dave is, members of the public. Im deputy chief for the professional standards and policing bureau, San FranciscoPolice Department. Going to give a brief overview of Data Collection current and whats on the horizon. Its important to address the questions put forth to the Police Department. The San FranciscoPolice Department is collecting Demographic Data in compliance with 96a city code, became effective in january, 2016. The data is presented in Quarterly Results and we have se several reports that have been generated. Theyre available on the website. This reporting mechanism was developed in response to a National Dialogue about policing and community encounters. Its mandated for only San FranciscoPolice Department and does not include other Law Enforcement agencies that have policing responsibilities in the city and county. When you look at comparative data, there is none. You have a snapchat of San FranciscoPolice Department. Sheriff department has a different mechanism. The first question why do you collect this data . What is the intended outcome . When we look at this data, its to identify the gender and ethnicity of those that we come in contact with. And what is the purpose . Why are we having contact . Number two, what do you use the data for or how do you use the data . Its primarily compiled to generate a report in compliance with city code 96a. The 96a legislation was initiated to mandate this reporting by supervisor cohen. Supervisor cohen was a pioneer to look at this collection. This does not exist had not existed in San Francisco and sporadically across the country in mandating the collection of specific data. Kudos to supervisor cohen for creating that mechanism and that legislation. Last question is, how do you use the data to advance equity . Thats a difficult question. When you are looking at data, how do you use that data and what does that data mean . How do you create mechanisms and Training Programs to advance equity across all demographics . Primarily, its to demonstrate our transparency. What are we doing and how do we do it . Secondly, for accountability. Who are we contacting and what does it mean . To be quite truthful, we can collect the data, but its disengenuous to look at that and tell you what it means from an academic standpoint. Police department has been in negotiations to bring on an academic entity to determine what this data is and we