3. Data Science Day - "Data in Journalism / Storytelling with Data"

organisiert durch The unbelievable Machine Company GmbH

@ ImmobilienScout24

Freitag, 07.12.2012 um 09:00

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  • 1. Data Science Day

    The unbelievable Machine Company Gmbh, ImmobilienScout24, IBM & Exasol  veranstalten am 7. Dezember 2012 den 3. Data Science Day zum Thema "Data in Journalism / Storytelling with Data" in Berlin.

    Getreu dem Motto "one day, many perspectives, millions of new ideas" bringt der 3. Data Science Day Experten und Interessierte unterschiedlichster Disziplinen zusammen, um diesmal gemeinsam die mannigfaltigen Facetten von Data Science & Big Data mit Blick auf Data Journalism, Data Visualization & Storytelling with Data zu beleuchten und zu diskutieren."


    Programm (preliminary)

    9:00 Doors open

    9:45 - 10:00 (we´ll start earlier this time as we have lots of interesting talks & sessions that day...)
    Klaas Bollhoefer, The unbelievable Machine Company & Thomas Kwiatkowski, ImmobilienScout24: "Welcome!"

    10:00 - 10:30 
    Lucy Chambers, Open Knowledge Foundation: "The Power of Open Data"

    Lucy will talk about the work & mission of Open Knowledge Foundation, Open Data & the new O'Reilly book "The Data Journalism Handbook" (more details soon....)

    10:30 - 11:15
    KEYNOTE: Geoff McGhee, Stanford University: "The New Rules of Data Storytelling"

    Computer-driven data visualization began as a tool for individual exploration and sense-making. Now a generation of journalists, artists and researchers are borrowing techniques from comics, cinema and video games to create data visualizations that inform, explain, delight and inspire. What are the new rules of data storytelling, and where are we headed?

    A veteran of online news, Geoff McGhee now runs a laboratory for information visualization at Stanford University's Bill Lane Center for the American West. He spent 2009-2010 as a John S. Knight Journalism Fellow at Stanford, during which he produced the acclaimed interactive documentary, "Journalism in the Age of Data." McGhee spent eight years at The New York Times, where he helped found its online infographics and multimedia team. He has also worked at Le Monde Interactif in Paris and ABCNews.com. 

    11:15 - 11:30 Coffee Break

    11:30 - 12:00
    Nicolas Kayser-Bril, Journalism++: "Teaching data literacy"

    Data-wrangling and data-visualizations are in fashion - that's great. Now, how do we ensure that users know what they do and prevent the rise of data-monsters? Nicolas has trained journalists in data literacy for the past 3 years and will share some lessons learned.

    12:00 - 12:30
    Stephan Thiel, Studio NAND: "Data Olympics"
    With the rise of social media and data-driven services, new perspectives onto public events and behavioural dynamics can be created using data analysis and visualization. For the first time in human history, we can track and make visible the traces of millions of social interactions happening every second on the internet. Yet, the question remains to which extend these perspectives reveal truly new insights as compared to traditional methods of journalism, social sciences and economics. Neither is it clear which ethical standards and contexts apply to the world of big data.

    Stephan Thiel of Studio NAND will talk about the potential and challenges of big data and visualization in the context of data-driven journalism by introducing the process behind emoto – a visualization project Studio NAND did together with Moritz Stefaner and Drew Hemment of FutureEverything to capture and visualize the excitement around the 2012 London Olympic Games.

    12:30 - 1:00
    Toms Baugis, parse.ly: "Data Viz for Publishers: Let me Show you My Pokemons"
    Parse.ly Dash is analytics and optimization platform for publishers with customers including Atlantic Media, Mashable and Thomson Reuters. Toms Bauģis is behind the screens of Dash and the talk will be about the challenges met and insights gained while working on the system.

    1:00 - 1:45 Lunch Break

    1:45 - 2:15
    Lorenz Matzat, OpenDataCity: "Stories made from data"

    From getting and wrangling data to finally tell stories with it: Lorenz Matzat gives an account on how his colleagues of OpenDataCity and him executed two data pieces for german newspapers: What went wrong and have been the hurdles; why it worked out and how this all fits into journalism. Secondly, Matzat gives a short overview on his data-driven mapping tool he's developing with his company Lokaler for local newspapers and municipalities.

    2:15 - 2:45
    Sebastian Mondial, Investigativer Datenjournalist / Trainer: "Lighthouses and Data-Mines - About the Changing Perception of Data-Journalism"
    Datajournalism is often percieved by the shiny lighthouses build by a few. Chief editors point there and say "Can you build me one of those?". But for a daily dose, someone needs to go into the data mines. [This presentation is about the change and change in perception about computer assisted reporting, data and data driven journalism.]

    2:45 - 3:00 Coffee Break

    3:00 - 3:30
    Dieter Haas, IBM: "Journalist Portal: An Information Hub for collaborative Journalism" 
    Journalism in today's digital era builds on the same basis as journalism has always built upon. What has changed is the way journalists communicate, work together, and the amount of data and information that needs to be investigated and researched. These challenges require new methods and tools. New business models for journalism, new players and platforms are emerging already but there is still a gap and need for enhanced technologies for collaboration and analytics. The vision is an agile platform supporting new models and enabling the integration of new technologies tailored to the data journalist needs. 

    3:30 - 4:00
    Eric von Czapiewski, Zalando: tbd. 

    ~ 4:00 Coffee Break & Workshop Setup

    4:30 - 6:00 Hands-Ons / Workshop Sessions

    1. Hands-On: Datawrapper (http://datawrapper.de/)
    One of the tools developed by Journalism++ (with Gregor Aisch, in a project led by Mirko Lorenz for ABZV) is Datawrapper, which offers users to make simple charts in seconds. The key element of Datawrapper is that it focuses strictly on correctness rather than fanciness. Nicolas will show the features of the tool as well as the technical, theoretical and business principles that underpin it.

    2. Hands-On: parse.ly Dash (http://www.parsely.com/)

    Plus: Two Interactive Sessions / Workshops with the speakers on different key topics (will be defined by speakers & participants during last coffee break)

    From 6:00 - open end
    Get-together with beer, pizza & lots of time to meet, share ideas & talk about the day!


    Das Ziel des 3. Data Science Day ist (as always):

    Impulse geben, Raum & Zeit für Diskussionen und den gegenseitigen Austausch bieten, das Themenfeld Big Data & Data Science aus der Technik-Ecke hervorholen und aus verschiedensten Perspektiven mit Schwerpunkt "Data in Journalism" beleuchten.


    Ein großer Dank geht an unsere Sponsoren:

    ImmobilienScout24, Exasol, IBM & The unbelievable Machine Company GmbH (*um)


    Für Essen & Trinken ist gesorgt. Talks & Diskussionen werden auf Englisch stattfinden!

    Wir sehen uns dort! :-)


  • Anfahrt

    Adresse des Veranstaltungsorts

    Andreasstraße 10 10243 Berlin Deutschland
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