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Jeff Deutch: Profiling (In)justice

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    preroll music
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    Herald: Welcome Jeff with a warm applause
    on stage. He works for Tactical Tech
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    applause
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    and will talk about a bias in
    data and racial profiling
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    in Germany compared with
    the UK. It’s your stage!
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    Jeff: Right. Thank you! Yeah, okay!
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    My presentation is called
    “Profiling (In)justice –
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    – Disaggregating Data by Race
    and Ethnicity to Monitor
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    and Evaluate Discriminatory Policing”.
    In terms of my background:
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    I’ve done research, doing
    mostly quantitative research
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    around the issues of racial
    discrimination for a long time.
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    In New York, at the Center for
    Constitutional Rights I was working on
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    looking at trends and levels of
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    use-of-force by police against civilians,
    and also on stop-and-search
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    against civilians. And then more
    recently for the last 18 months or so
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    I’ve been working as a research
    consultant at Tactical Tech,
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    looking at issues of data politics and
    privacy. So this is kind of like a merger
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    of these 2 areas. In terms of what this
    presentation is gonna be about:
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    there’s gonna be 3 takeaways. First, that
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    we’re dealing with the issues of privacy
    and also [freedom from] discrimination.
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    And both are fundamental human rights.
    But there’s tension between the two.
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    And important questions to think about
    are: “When do privacy concerns exceed
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    or take precedence over those of
    discrimination, or vice versa?”
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    Two: That data is political, both in the
    collection and aggregation of data;
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    but also in terms of having the
    categories of being created.
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    And then, three: That data ethics are
    a complex thing, that things aren’t
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    so black-and-white all of the time.
    So what is racial profiling?
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    The term originates from the US.
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    And it refers to when a police officer
    suspects, stops, questions, arrests or…
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    you know, or… at other stages (?)
    of the communal justice system
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    because of their perceived
    race or ethnicity. After 9/11
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    it also refers to the profiling of Muslims
    or people perceived to be Middle Eastern.
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    And in German there is no direct translation,
    so the term ‘Racial Profiling’ (quotes)
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    is used a lot in parliamentary hearings
    and also in court documents.
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    So the problem that we’re gonna talk
    about is that because of the lack of data
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    in Germany there’s no empirical
    evidence to monitor and evaluate
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    trends in discrimination.
    This is creating problems
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    for both civil society in terms of looking
    at these levels and trends over time,
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    but also from an individual perspective
    it becomes difficult for people
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    to file complaints. In Germany the only
    way to file a complaint officially
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    is to go to the police department,
    which introduces power dynamics,
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    you know, challenges and additional
    barriers. But also if you’re an individual
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    you have to show that there’s a trend,
    right? That you are part of another,
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    a long standing story. And without this
    data it becomes difficult to prove
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    that that’s happening.
    So what we’re needing,
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    or what some people are calling
    for, is having this data
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    at a state and a sort of national level.
    And this ratio that I’m putting here,
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    referring to policing, is looking at the
    rate at which people are stopped
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    over the census figure of the
    demographic share of the population.
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    And you really need both; the first
    being on the police side and
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    the second being on the census. So
    that, you know, if you only have one,
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    if you only have the rate at which police
    were stopping people then you actually
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    can’t see if this is discriminatory or
    not. And if you only have the census
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    then you can’t see that, either.
    So you really need both.
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    The European Commission, the International
    Labour Organisation and academics are all
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    calling for these… the creation of
    standardized and comparable data sets.
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    And I’m not gonna read these out,
    but I can go back to them later
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    if you’re interested. But what I’m gonna
    talk about is comparing the UK
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    to that of Germany. So in Germany,
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    in 1983 there was a census; or there
    was an attempt to making a census.
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    But due to wide-spread resentment
    and disenfranchisement,
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    fears of surveillance and lack of
    trust in state data collection
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    there was a big boycott. Or people
    deliberately filled in forms wrong.
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    In some cases there were even
    bombings of statistical offices.
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    Or people spilled coffee over census
    forms to try to deliberately ruin them.
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    As a couple of other presentations at the
    conference have already said
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    this was found to be an
    unconstitutional census.
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    Because of the way that
    they were framing it.
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    Comparing the census to
    household registrations.
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    And so the census was delayed until 1987,
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    which was the most recent census until
    the most recent European one in 2011.
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    This Supreme Court decision
    was really important
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    because it established this right
    for informational self-determination.
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    Very important for privacy
    in terms of Germany.
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    You know, until today. So what kinds
    of information is being collected?
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    In Germany we have pretty standard kind
    of demographic information things
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    like gender, age, income, religion. But
    what I want to talk about in particular
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    is country origin and country citizenship.
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    Which are used to determine a person
    of migration background. And
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    this term ‘person of migration background’
    generally refers to whether you,
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    your parents or your grandparents
    – the first, second or third generation –
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    come from a migrant background. Right, and
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    this term is used oftentimes as a proxy
    for ethnic or for racial diversity in Germany.
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    And this is problematic because
    you’re using citizenship as a proxy
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    for looking at racial and ethnic identity.
    And it also ignores the experiences
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    and identities, the self identities
    of people who don’t fall into
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    this ‘first, second or third generation’,
    right? People who may identify
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    as Black German, let’s say. But
    of fourth, fifth or sixth generation.
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    They’re just ignored in this
    data set. So they fall out.
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    Also, it’s difficult to measure these at
    a national level because each state
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    has different definitions of what
    constitutes a migrant background.
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    So we don’t have this at a national level
    but also within states there’s no way
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    to compare them. Of course, not
    having that data doesn’t mean
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    that there’s no racism, right?
    And so in 2005 e.g. we see
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    that neo-Nazi incidents have increased 25%
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    – the NSU case coming out but still
    going on in court proceedings.
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    The xenophobic attacks but also the way
    in which these crimes were investigated
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    – at a state and at a federal level –
    and the way that it was botched,
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    in addition to showing that
    racism now in general
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    is at a higher rate than it has been for
    the last 30 years. And much more recently
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    seeing the rise in arson attacks on
    refugee centers. There’s been
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    over 200 attacks this year so far.
    You know, all of these showed
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    that not collecting this data doesn’t
    mean that we don’t have a problem.
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    So, the UK by comparison: In 1981,
    there was the Brixton riots,
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    in an area of London.
    And these arose largely
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    because of resentment towards
    the way that police were
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    carrying out what they called ‘Sus Laws’.
    Or people being able to be stopped
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    on suspicion of committing
    a crime, carrying drugs,
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    having a weapon etc. and so forth.
    And so in the aftermath of the riot
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    they came up with this report called the
    ‘Scarman report’. And this found
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    that there is much disproportionality in
    the way that Police were carrying out
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    their stop-and-search procedures.
    So for the first time this required…
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    or one of the reforms that was
    instituted was that UK Police started
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    to have to collect data on race
    or ethnicity during the stops.
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    When they stop a person they have to start
    collecting this data. And then you have
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    a baseline that’s being established.
    Around the same time in the UK
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    we have the 1981 census.
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    And in society they were having
    a lot of debates around
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    whether or not they wanted to have this…
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    collecting this baseline national level
    (?) figure, because we need these 2 things
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    for this ratio in order to monitor and
    evaluate levels of discrimination.
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    But, you know, there was
    a lot of opposition to this.
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    And many found it to be (quote)
    “morally and politically objectionable”.
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    But not for the reason you’d think.
    People found objections to it
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    not because of asking these question,
    but because of the way that the question
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    was phrased, with the categories that
    were being used. And they did surveys
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    between ’75 and about ’95, and found that
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    among marginalized communities
    and in minority ethnicity groups
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    there was actually a lot of support
    for collecting this kind of data.
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    They just wanted to have it phrased to
    be different. And so ’91 they started
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    to collect the data. They put this
    ‘race question’ in. And here I have,
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    in 2011 – the most recent census –
    some of the kinds of categories
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    that they wanted to also include.
    And they’ve changed over time.
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    So e.g. like ‘White Irish people’ felt
    that they also were discriminated against.
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    And they experienced things differently
    than white British people, e.g.
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    So having things broken down
    further would be helpful for them
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    in terms of highlighting discrimination
    that each specific demographic faces.
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    So around that time ’91, ’93 we
    have the murder of Stephen Lawrence
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    in an unprovoked racist attack. Nobody
    was ever convicted of that. But
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    what’s important is that we have this
    ‘Macpherson report’ that came out.
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    And it developed a lot of recommendations,
    70, and most of them were adopted.
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    One: to be collecting this at a national
    level, and to be comparing these.
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    In 2011 they stopped mandating
    that you had to collect this data,
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    at a national level. So none of the
    data from then going forward
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    can actually be trusted. Some
    forces continued to do it,
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    but not all of them. So you can’t actually
    compare them between forces.
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    In the same year we have these London
    riots. The Guardian and LSE put out
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    a report called “Reading the Riots”. Where
    they did a lot of interviews with people
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    who participated. And they found that
    most of the people who participated
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    had feelings of… that they
    were mistreated by Police.
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    Or that there is racial discrimination
    in terms of the policing practices.
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    That they weren’t being
    treated with respect.
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    So to put some data to that:
    Before this was removed
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    there… it was 2 different types of
    stops in the UK. Those PACE stops,
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    where you stops with reasonable suspicion.
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    And among that you have e.g. black people
    stopped at 7 times the rate of white people.
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    Asian people – Asian referring to (?)(?)(?)(?)
    Southeast Asian in the UK –
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    at twice the rate. And ‘Section 60 stops’:
    where you don’t have to actually have
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    reasonable suspicion. And when you don’t
    need to have that you have much, much
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    higher rates. 26.6 times the rate of white
    people black people are being stopped at.
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    But the State Department even coming
    out and they’re saying: “There’s
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    no relationship between criminality
    and race… criminality and ethnicity”.
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    In fact it’s like: If people are being
    stopped at these rates it’s…
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    it’s in the wrong direction. You have
    white males in particular who are
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    fending at higher rates. Who are using
    drugs at a higher rate. Who are
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    possessing weapons at a higher rate.
    But that’s not who’s being stopped.
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    There is a connection though between
    race and ethnicity and poverty.
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    So you can see here, they call it like
    BAME groups, or ‘Black, Asian and
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    Minority Ethnicity’. And you can see
    that among like wealth and assets:
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    it’s much, much lower for non-white
    households. Unemployment rates
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    are much higher as well.
    Income is much lower.
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    So I like making maps. And I think
    maps are really cool. ’Cause you can
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    tell stories when you overlay a lot
    of data with it. So on the left
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    I put by different borough in London
    where people are actually being stopped.
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    Per 1,000 people in 2012.
    And on the right I put
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    where the crime is actually occurring.
    And this is coming from UK Police.
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    And so you can see that where people
    are being stopped isn’t exactly
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    where the crime is actually happening.
    And if you’re seeing this stop-and-search
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    as a crime preventing tactic then we
    have to question why this isn’t lining up.
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    Going back to this ratio:
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    earlier I mentioned like – having the rate
    at which one group is being stopped
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    over that share of the total population.
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    And we can take it a step further
    and we can compare that to…
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    between different demographic groups.
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    And when using census figures
    combined with police figures,
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    we can do things like looking on the left.
    I mean this disproportionality ratio,
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    so the rate at which black groups
    as a share are stopped
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    versus the total population, compared
    to white groups are stopped.
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    And you can see the darker areas
    is where you have a higher rate.
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    So when we’re talking about those
    ‘7 times, or 26 times more likely’
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    these are those areas that we’re
    talking about. And so the darker areas:
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    you can see that when compared to poverty,
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    people are stopped… there’s
    greater disproportionality ratios
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    in wealthier areas than there are in
    poorer areas. And this is kind of
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    a way, you could say, almost
    of perceiving people of colour
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    as others who shouldn’t belong in
    these areas. It’s also… you can…
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    when combined with other census
    information you can see that you have
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    more discrimination, you have more
    disparities in areas that are more white
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    and also less racially diverse.
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    So this is kind of all on the
    same kind of a message.
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    But if it works fine? – It doesn’t.
    UK Police is saying that
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    at most they have a 6%
    arrest rate of all stops.
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    And arrests are not conviction rates.
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    Looking for weapons we have like less
    than 1% of a positive search rate.
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    And the European Human Rights
    Commission e.g. has called for reform
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    of these practices. The UN has called
    for reform of these practices.
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    And they instituted like
    a reform that called for
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    having a 20% arrest quota. And so that
    could either go positively or negatively.
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    Making a higher quota means that you
    could be just arresting more people
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    that you’re stopping. More likely, or
    hopefully it means that you have
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    a higher justification or grounds
    for stopping a person.
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    So these are the kinds of things you can
    do in the UK, with these kinds of data.
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    In Germany, you can’t. But I wanna
    highlight there’s this one case
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    in Koblenz in 2010.
    There was a student of…
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    unnamed, black student who
    is stopped travelling on train,
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    and who was asked to show his ID.
    And he refused. And he said: “No,
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    I’m not gonna do that. This is
    reminiscent of Nazi era tactics”.
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    And so he was charged with slander.
    And he was brought into court.
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    And the police officer, when it
    was in court, said, (quote):
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    “I approach people that look like
    foreigners, this is based on skin colour.”
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    And so this is for the first time
    the police have admitted that
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    their grounds for doing immigration
    related stops are based on
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    perceived race or ethnicity.
    The judge sided with the police.
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    That this was good justification,
    like it was good grounds.
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    But a higher court ruled
    that that wasn’t the case.
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    They said: “Yeah,
    this is unconstitutional,
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    you can’t actually do it,
    it violates the constitution.”
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    No person shall be favoured or disfavoured
    because of sex, parentage, race,
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    language, homeland, origin,
    faith, religious… etc.
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    Just as a side note there’s been a large
    movement to remove this term ‘race’
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    from that part of the constitution
    since it’s been put in.
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    And also the court dismissed the slander
    charge. They said: “No, this student…”
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    like he’s actually able to critique
    the police, you know, in this way.
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    But after we have the response
    by the police union,
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    the head of the police union
    at the time, who said (quote):
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    “The courts deal with the law in
    an aesthetical pleasing way, but
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    they don’t make sure their judgments
    match practical requirements”.
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    And so what this means is: we see
    that according to the police union
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    – this isn’t official response, but this
    is from the Police Union itself –
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    they say that we need to
    profile. We need to do this.
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    Or else we aren’t able to do
    immigration related stops.
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    That’s crazy. They also…
    I mean, at the same time
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    when they were doing these parliamentary
    hearings they institute these mandatory
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    inter cultural trainings for police
    officers. And these are kind of
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    like a one-day training where
    you go and learn all about
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    how to deal with people from different
    cultures. But in some of the interviews
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    that I was doing they said: “Okay, well,
    this isn’t an inter cultural issue.
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    This is a racism issue”.
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    People aren’t just coming from other
    places. These are Germans,
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    these are people who grew up here. These
    are people who live here. Who know
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    how to speak the language.
    Who were born and raised…
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    And we need to be dealing
    with this in a different way.
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    However, in this time, we see that
    racial profiling has become part of
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    the national conversation. And so this
    is the sticker that somebody put up
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    in Berlin, in a U-Bahn.
    It says: “Attention…,
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    we practice RACIAL PROFILING while
    checking the validity of your ticket”.
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    It’s not real, but it looks…
    I think it’s kind of cool.
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    When they were doing this in
    these Bundestag hearings…
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    they released data for Federal Police
    for 2013. This is the first time
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    that we have any data that’s released.
    No data has ever been released
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    based on State Police stops.
    They say that they’re not actually
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    collecting the information, so they
    don’t have anything to show. Of course
  • 19:01 - 19:04
    the figures that are released from the
    Federal Police are not disaggregated
  • 19:04 - 19:08
    by race and ethnicity.
    But what does this actually show?
  • 19:08 - 19:17
    So, most of the stops,
    over 85% are border stops.
  • 19:17 - 19:21
    Border being within ca. 30 km
    of the German border.
  • 19:21 - 19:26
    So this is actually taking into account
    most of the German population.
  • 19:26 - 19:29
    But if we’re doing these immigration
    related stops then… if we break it down
  • 19:29 - 19:34
    by offense – in the last two, these are
    the immigration related offenses
  • 19:34 - 19:39
    that people are committing – and
    we have less than, at most,
  • 19:39 - 19:44
    maybe 1% of people who
    are found to be a positive,
  • 19:44 - 19:48
    meaning that they’re found to be violating
    some kind of offense. It’s – again,
  • 19:48 - 19:54
    it’s not a conviction, right?
    And people can challenge this.
  • 19:54 - 19:57
    E.g. like you don’t have to have your
    ID on you in all times. You can
  • 19:57 - 20:00
    present it later, and the
    charge can go away.
  • 20:00 - 20:05
    But if we have such low
    rates of positive searches
  • 20:05 - 20:11
    then like why is this happening? Why
    do we feel that with such good data,
  • 20:11 - 20:19
    and knowing, as good researchers,
    why are we continuing this as a practice?
  • 20:19 - 20:22
    On one of the other interviews that I was
    doing they found that okay well:
  • 20:22 - 20:26
    You know, we know this is ineffective.
    But this has the effect of criminalizing
  • 20:26 - 20:32
    our communities. And
    whether or not this is true
  • 20:32 - 20:35
    is an argument for why we should maybe
    have this kind of data to show that
  • 20:35 - 20:41
    this is or is not actually occurring.
    Of course, European Commission
  • 20:41 - 20:46
    against racism and intolerance and the UN
    have said: “Well, even among this at most
  • 20:46 - 20:50
    1% positive rates these are
    not being distributed evenly, and
  • 20:50 - 20:54
    you have people of certain groups that are
    being stopped at rates higher than others,
  • 20:54 - 20:59
    particularly black and other
    minority ethnicity groups.”
  • 20:59 - 21:06
    Okay, so, going back, why…
    into the initial question…
  • 21:06 - 21:11
    If we have both freedom from
    discrimination and the right to privacy
  • 21:11 - 21:16
    as these human rights how
    do we address this tension?
  • 21:16 - 21:18
    And how do we make sure that we’re
    making the right decision in terms of
  • 21:18 - 21:23
    which takes precedence? And so I came…
    or I’ve thought of 3 different reasons
  • 21:23 - 21:28
    why this isn’t happening. The first
    being a series of legal challenges.
  • 21:28 - 21:32
    Things that are preventing
    us from implementing this
  • 21:32 - 21:36
    from a legal basis. And the first…
    you know there’s 3 exceptions
  • 21:36 - 21:39
    that would allow for this
    data to be collected.
  • 21:39 - 21:43
    (1) The first being if there’s a provision
    in EU directive that calls for collecting
  • 21:43 - 21:50
    this kind of a data. And within that
    (2) if you have the consent of the person
  • 21:50 - 21:54
    the data is subject, let’s say.
    Consent is kind of a difficult thing
  • 21:54 - 21:58
    and we could have a whole conversation
    just about that on its own.
  • 21:58 - 22:01
    If you’re being stopped by police officer
    to what extent can you actually consent
  • 22:01 - 22:07
    to the data that’s being collected?
    But this is put in place
  • 22:07 - 22:11
    as one of the mandatory
    legal requirements.
  • 22:11 - 22:16
    Or (3) if there’s an exception in
    the hopefully soon to be finalized
  • 22:16 - 22:19
    EU Data Protection law that
    allows for collecting data
  • 22:19 - 22:23
    if it’s in the public interest. So you
    could argue that we need to be collecting
  • 22:23 - 22:29
    this data because monitoring
    and evaluating discrimination
  • 22:29 - 22:34
    is a problem that we need
    to solve as a society, right?
  • 22:34 - 22:39
    Two: As a lot of people here at
    the conference are talking about:
  • 22:39 - 22:43
    there’s a lot of distrust in terms
    of collecting data by the state.
  • 22:43 - 22:48
    Particularly sensitive data. But I mean
    as many of us are already aware
  • 22:48 - 22:54
    this data is already being collected. And
    this doesn’t mean that we should maybe
  • 22:54 - 22:58
    collect more just for the
    sake of collecting data.
  • 22:58 - 23:01
    But in terms of sensitive data –
  • 23:01 - 23:05
    we’re collecting things also like medical
    data. And medical data sometimes
  • 23:05 - 23:09
    is interesting for looking at trends
    in terms of the illnesses,
  • 23:09 - 23:15
    and where illnesses spread. And you can
    look at this as also possibly a way of
  • 23:15 - 23:21
    using sensitive data for highlighting
    and monitoring public problems.
  • 23:21 - 23:25
    And, (3), we have these
    challenges in determining
  • 23:25 - 23:29
    which kind of categories
    we should put in place.
  • 23:29 - 23:33
    But, like the UK, if something
    were implemented in Germany
  • 23:33 - 23:37
    I feel as though this would change over
    time as other groups also want their data
  • 23:37 - 23:43
    to be collected… or not!
  • 23:43 - 23:48
    So that’s kind of where
    I’m at. I think that
  • 23:48 - 23:51
    there are no easy answers in terms of
    whether we should or should not do this.
  • 23:51 - 23:54
    But I think that at the very least
    we should be starting to have
  • 23:54 - 23:56
    these conversations. And I think that
    it’s important to start having these
  • 23:56 - 23:59
    conversations with communities
    themselves who are being targeted,
  • 23:59 - 24:05
    or feel they’re being profiled.
    So, thank you!
  • 24:05 - 24:16
    applause
  • 24:16 - 24:20
    Herald: It was an awesome talk. I think
    there might be 5 minutes for questions.
  • 24:20 - 24:25
    There are mics over there and over
    there. And whoever has a question,
  • 24:25 - 24:28
    like in the front rows,
    I can come walk to you.
  • 24:28 - 24:31
    Question: Thank you very much.
    I’m just wondering in terms of…
  • 24:31 - 24:33
    are you sort of creating this…
  • 24:33 - 24:35
    Jeff: I’m sorry, I can’t hear you…
  • 24:35 - 24:37
    Question: Sorry, of course… I’m sort
    of curious in terms of how you’re
  • 24:37 - 24:41
    creating the disproportionate demographics
    where there will be birth, including
  • 24:41 - 24:45
    other kinds of information, such as sex,
    age, time of day they’re stopped.
  • 24:45 - 24:46
    Because there’s possibly
    unemployment bias as well…
  • 24:46 - 24:48
    Jeff: I’m sorry, I still can’t
    actually hear you.
  • 24:48 - 24:53
    Question: Sorry… whether it’d be
    worth including, say, other details
  • 24:53 - 24:56
    about people, such as their sex, their
    age, maybe the time of day that
  • 24:56 - 25:02
    these stops are happening. As there may
    be a bias towards the unemployed.
  • 25:02 - 25:07
    If that’s possible, do you think,
    with the UK census data?
  • 25:07 - 25:10
    Jeff: So you’re asking: Do I feel as
    though we should also be including
  • 25:10 - 25:15
    other kinds of demographic data?
    Yeah. I mean I do, but I think that
  • 25:15 - 25:19
    I shouldn’t be the one who’s deciding how
    to implement these programs. And I think
  • 25:19 - 25:23
    that we should be speaking with
    the communities themselves
  • 25:23 - 25:27
    and having them give their opinion. So if
    this is something that those communities
  • 25:27 - 25:30
    who feel that they’re being targeted
    or being discriminated against
  • 25:30 - 25:34
    want to include then I think that they
    should be taken into account. But
  • 25:34 - 25:37
    I don’t know that I should be
    the one who’s deciding that.
  • 25:37 - 25:41
    Herald: Okay, next question
    over there, please.
  • 25:41 - 25:45
    Question: To this ratio you’ve been
    talking about: So you compare
  • 25:45 - 25:50
    census data to – as you
    said in the definition
  • 25:50 - 25:54
    in the first slide –
    perceived ethnicity or race.
  • 25:54 - 25:58
    So it is an attribution of the
    persons themselves in a census
  • 25:58 - 26:02
    compared to attribution per
    police officers. And those
  • 26:02 - 26:05
    won’t necessarily match, I’m not
    sure. So I was just wondering
  • 26:05 - 26:09
    whether you could comment on
    that a bit. And this is related
  • 26:09 - 26:13
    to the second question when it comes
    about: We don’t get this data
  • 26:13 - 26:18
    maybe from the police, because it’s
    difficult for the state to collect it.
  • 26:18 - 26:22
    But maybe we could get the data from
    those which suffer from discrimination
  • 26:22 - 26:26
    in the first place. So do you see any
    possibility for public platforms…
  • 26:26 - 26:30
    So I was reminded of this
    idea from Egypt, HarassMap (?)
  • 26:30 - 26:34
    which is about sexual harassment
    of women. That just made visible,
  • 26:34 - 26:38
    with maps, similar to what you do,
    actually where this happened,
  • 26:38 - 26:43
    when this happened, and how this happened.
    But it’s been the people themselves
  • 26:43 - 26:47
    speaking out and making this
    heard. And I was wondering
  • 26:47 - 26:52
    whether that may be another source of the
    data you would be needing for your work.
  • 26:52 - 26:56
    Jeff: So the first question was talking
    about whether we should be using
  • 26:56 - 26:59
    ‘self-identified’ vs. ‘perceived’,
    right?
  • 26:59 - 27:02
    Yeah, I mean they may not line up, right?
  • 27:02 - 27:06
    People can be perceived in a way
    different than they identify.
  • 27:06 - 27:10
    Some groups in Germany
    are calling for both.
  • 27:10 - 27:14
    They’re calling for kind of like
    a two-ticket mechanism
  • 27:14 - 27:20
    where you have people who
    put how they self-identify
  • 27:20 - 27:24
    and also how the Police are identifying
    them. If we’re looking for patterns
  • 27:24 - 27:28
    of discrimination then it may actually
    be more interesting if we’re looking at
  • 27:28 - 27:32
    how people are perceived.
    Then, how people self-identify.
  • 27:32 - 27:36
    But I think it’s important to take both
    into account. And for the second question,
  • 27:36 - 27:38
    I’m sorry, I kind of forgot what that was.
  • 27:38 - 27:42
    Question: Like asking the
    people themselves for data
  • 27:42 - 27:46
    when they suffer from discrimination
    or [are] being stopped more.
  • 27:46 - 27:50
    Jeff: Yeah, no, I mean I think that’s a
    great idea. And there was a survey
  • 27:50 - 27:54
    that was actually just done,
    that was doing just that!
  • 27:54 - 27:57
    The findings haven’t been released,
    but it just finishes up. And it’s looking
  • 27:57 - 28:01
    at different types of experiences of
    discrimination that people are having.
  • 28:01 - 28:06
    There’s also organisations like
    social worker organisations
  • 28:06 - 28:09
    that have been collecting
    this data for a long time.
  • 28:09 - 28:14
    Having hundreds and hundreds
    of cases. Yeah, thanks!
  • 28:14 - 28:20
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  • 28:20 - 28:25
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Title:
Jeff Deutch: Profiling (In)justice
Description:

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Video Language:
English
Duration:
28:26

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