Author: Philipp Hartmann

  • Project Groups (5) – Dutch Church Interior Paintings

    Project Groups (5) – Dutch Church Interior Paintings

    [The following text is written by the project group “Dutch Church Interior Paintings”. You will find more information on their project soon on their website, which will be linked here.]

    The genre of church interior paintings has developed in the Netherlands in the middle of the 17th century and lasted only a few decades. It is represented by a relatively small group of specialized artists, such as: Pieter Jansz Saenredam (1597-1665), Emanuel de Witte (1616-1692), Hendrick Cornelisz Van Vliet (1611-1675), Gerard Houckgeest (ca.1600–1661), Anthonie De Lorme (c.1610-1673) and others. In many cases, the same church’s interior was depicted by the same artists dozens of times, however, the iconography, composition and vantage point (a position from which the interior is viewed) varied. One of the main factors in the development of this type of painting was the Reformation and its consequences, particularly the Calvinist approach to art. The so-called Beeldenstorm in 1566, a series of events during which churches were plundered and their Catholic decorations removed or destroyed, was a starting point of this far-reaching transformation of church interiors in the Netherlands. The churches became obsolete civic spaces filled with everyday activities, not exclusively restricted to preaching the God’s word any more. The altars, statues and other decorative elements were replaced by white-washed walls and simple panels filled with biblical excerpts instead of representations of saints and miracles. This is reflected in the church interior paintings, where we can see, for example, a woman breastfeeding, children at play, groups of gentlemen involved in conversations about business, couples strolling down the aisles, beggars and even dogs urinating. The latter was perhaps the strongest symbol of this transition of the church as a building: from a holy temple to a civic, urban and mundane space.
    There are hundreds of church interior paintings scattered across collections around the world. The research of this subject to date has focused mainly on particular artists or churches, rather than the overall genre and its network of artists and places. This project, born at Coding Dürer 2017, addresses this issue by providing a platform for further research on the paintings and creating an insight into the bigger picture of the genre for the first time. This visualisation of over 200 paintings of 26 different churches by 16 different artists was created with the following research questions in mind:

    • In what places the artists were active and in what places they depicted church interior(s)?
    • Did the artists have ‘favourite’ church interiors?
    • In what places and when could the artists possibly meet?
    • What church interiors were depicted the most?
    • What church interiors were depicted by most artists?

     

    DATASET

    The starting point of the project was a spreadsheet listing the paintings, artists, collections, etc. that was created for research purposes 2 years ago. This re-purposed data needed cleaning and additional information, e.g. IDs (artists, churches, paintings), locations (longitude, latitude), stable URLs for images.

     

    GOAL

    To create a map/visualisation that shows:

    1. Dutch churches depicted in the paintings (25)
    2. Artists’ activity (16+)

    TOOLS

     

  • Project Groups (4) – Meta Data Group

    Project Groups (4) – Meta Data Group

    The topic of visualization is quite popular at Coding Dürer. We already saw an approach in visualizing interactions of photographers with an artwork as well as an attempt to show how the work of an artist moves around the world throughout time. The “meta data group” engages in a project that relates to the person who gave the Hackathon its name: Albrecht Dürer. The group wants to show to whom and how the artist was related. By creating a graphic plot they want to answer the question of the artist’s relationship to his contemporaries in a way that is intuitive and easy to understand. The main challenge the team faces is to find data that fits their research question. ULAN, thUnion List of Artist Names from the Getty Research Institute, might offer a solution, as its data is organized in a network of categories like “assistant” or “teacher” which the team uses in recreating a network.

    Screenshot of ULAN data (a standardized list of artist’s names)
    The data that ULAN provides (as well as data from online research) can be visualized with the help of WebVowl and Gephi.
  • Project Groups (3) – Tracing Picasso

    Project Groups (3) – Tracing Picasso

    Photo by @airun72

    Throughout his life Picasso created a huge body of work, including paintings, drawings as well as sculptures, that travelled around the world. It seems impossible to grasp how and where the objects moved. One project group at Coding Dürer tries to solve this problem and help us understand the provenience of Picasso’s work by using digital tools. They use OpenRefine to handle the metadata provided by the Met Museum and the MoMA. D3 offers great timeline librarys to visualize time and place. Combined with information about Picasso’s life and exhibitions their interactive tool can show us how Pablo and his work moved throughout time.

  • Project Groups (2) – Albot

    Project Groups (2) – Albot

    Photo from Wikimedia

    You’re at a museum and want to find out more about an artwork you like? Then just ask Albot, the art history chatbot. He will access the museum’s metadata for you and answer simple questions about the artwork, like: Who’s the artist? What’s the title? Which people are depicted? At least that’s the vision of one of the project groups at Coding Dürer. They start with Albrecht Dürer’s “Allerheiligenbild” and try to formulate questions. By extracting keywords, Albot can understand questions and find answers. The team still tries to figure out which chatbot to use. Dexter or the Microsoft bot framework seem to offer great solutions.

  • Project Groups (1) – Visualizing Vietnam War Memorial

    Project Groups (1) – Visualizing Vietnam War Memorial

    Victoria Szabo, Justin Underhill and Benjamin Zweig want to visualize the interactions at the Vietnam War Memorial in Washington. As the memorial is not “monumental”, there are no stereotypic, but rather a great variety of photos. Using different tools, they intend to visualize in which ways people experience the object. By looking at photos of the War Memorial they want to find out where people take photos and what kind of photos they take. For that, they use images from flickr as well as the flickr API. Microsoft Cognitive Services can be used for further analysis of the images.