I’m delighted to come speak at your institution about digital art history, the use and abuse of network analysis and machine learning in historical study, as well as collections data infrastructure for supporting research. Contact me at @matthewdlincoln or by email!

Recent invited lectures

• Linked Open Museum Data: Why Curators Should Care, AAMC Networked Curator Workshop, Getty Research Institute, Los Angeles (8 February 2018)

• Missing Data in Digital Provenance Research, ArtTracks and the Digital Humanities Symposium, Carnegie Museum of Art, Pittsburgh (6 November 2017)

• From Document to Event: Challenges and Opportunities in Remodeling the Getty Provenance Index, Golden Agents: Creative Industries and the Making of the Dutch Golden Age, Huygens ING, Amsterdam (12 April 2017)

• Computing with Genre in Paintings, Prints, and Purchases: Questions of Category and Measure, Department of Art History, Emory University, Atlanta (10 November 2016)

• In the Face of the Unknown: Missingness in (Digital) History, Creative Amsterdam: An E-Humanities Perspective, University of Amsterdam (28 October 2016)

• Linked Open Data: A Researcher’s Perspective, American Art Collaborative meeting, Information Sciences Institute, Los Angeles (3 October 2016)

• Linked Open Realities: The Joys and Pains of Using Linked Open Data for Research, Center for Textual and Spatial Analysis, Stanford University, (1 June 2016)

• Specialization and Diversity in Dutch and Flemish Printmaking (and Painting!): A Computational Approach, Digital Art History Lab, The Frick Collection, New York (7 April 2016)

• Continuity/Discontinuity: Network Dynamics in the Golden Age of Dutch Printmaking, DHRX: Digital Humanities Research at Pitt, University of Pittsburgh, (28 March 2016)

• Assessing Potential Pasts: Computation and Networks of the Golden Age of Dutch and Flemish Printmaking, Digital Humanities Center and the Department of Art History & Archaeology, Columbia University, New York (19 February 2016)

• The Art Historian’s Macroscope: Museum Data and the Academy, DASER Forum, National Academy of Sciences, Washington, DC (21 May 2015)