Patrick Stotz

Data journalist, SPIEGEL Online

Patrick Stotz is a data journalist at Spiegel Online.

Patrick is speaking at

Data
September 27, 2019
9:00 am - 10:15 am
Room 2.108, HafenCity Universit├Ąt (HCU)

Limited Seating

42 of 42 seats filled

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Speakers

Description

Last November, Der Spiegel and public broadcaster Bayerischer Rundfunk (BR) published a joint investigation on how Germany’s leading credit scoring company Schufa rates the creditworthiness of German citizens. Earlier reporting on the topic was forced to rely merely on anecdotal evidence, but the data teams of both newsrooms were able to analyze more than 2000 credit reports from consumers that had been collected by two German non-profit companies.

This panel explains how the crowdsourced sample of confidential credit reports was used to shed light on the covert and privately-owned scoring algorithm. The workshop will give insights into algorithmic accountability reporting and working with private consumer data, reflecting on obstacles and difficulties as well as learnings for similar future stories.

Data
September 28, 2019
9:00 am - 10:15 am
K10, Der Spiegel

Limited Seating

30 of 30 seats filled

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Speakers

Description

Many data-driven investigations start with a simple question and a tight deadline. Simply hacking something together, thus is tempting. However, things are rarely as simple as they first seem. Questions get refined, data needs processing and many collaborators need to be kept up to date. Without a proper structure, you’re doomed at this point.

Over time, we at Der Spiegel have developed a structure that allows us to keep all of our analysis in one place, protects raw data from being modified, preserves attribution, includes brief documentation and is language-agnostic. We work with Jupyter or R-Notebooks and share our results in real-time with non-ddj experienced reporters in-house via google sheets, shared Excel documents, hosted in a OneDrive-Cloud or rendered HTML Notebooks.

In this session we’ll present the project template that is at the core of our work, we’ll go through a couple of examples and will thus demonstrate how to include all the necessary data wizardry into the workflow, while easily and constantly communicating results with ordinary reporters.

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