Music Encoding Conference, Dalhousie University, Halifax, Canada, 19-22nd May 2022

Awards

Two kinds of awards were granted at the Music Encoding Conference 2022, following seperate selection procedures:

The Best Paper and Best Poster Awards were granted by a special committee consisting of male and female members with backgrounds in musicology and computer science, selecting from a short-list of the best-reviewed paper and poster submissions, and basing their selection on both the submissions and the conference presentations.

The People's Choice: Best Paper and Best Poster Awards were determined following an anonymised online voting procedure among all conference participants.

Congratulations to the winners, and to all authors of the fantastic submissions presented at MEC 2022!


Best Paper

Jessica Grimmer, "Community-Centered Sustainability: A Case Study of the Music Encoding Initiative".

Best Poster

Peter Stadler, Omar Siam, Margrethe Støkken Bue, Clemens Gubsch, David Lewis, Kevin Page, Axel Teich Geertinger, Sigfrid Lundberg, Joshua Neumann, Daniel Jettka, Anastasia Wawilow, Zsofia Karolina Abraham, and Daniel Schopper. "Towards MerMEId 2.0".


People's Choice: Best Paper

Andrea Lindmayr-Brandl, Katharina Loose-Einfalt, Clemens Gubsch, Paul Gulewycz, Marlene Peterlechner, and Günther Koliander. "Watermarks and Where to Find Them: Digitization, Recognition, and Automated Clustering of Watermarks in the Music Manuscripts of Franz Schubert (DRACMarkS)".

People's Choice: Best Poster (A three-way tie!)

Johannes Kepper, Jan-Peter Voigt, Susanne Cox, Ran Mo, Epsa Novara, Richard York Sänger, and Agnes Seipelt. "Exppcating Revisions – How to mediate Beethoven's redaction instructions".

Lindsey Reymore, Matthew Zeller, Leigh VanHandel, Ben Duinker, Nicholas Shea, Christopher Wilpam White, Jeremy Tatar, Jade Roth, and Nicole Biamonte. "Encoding and Analyzing a New Corpus of Popular Songs".

Peter Stadler, Omar Siam, Margrethe Støkken Bue, Clemens Gubsch, David Lewis, Kevin Page, Axel Teich Geertinger, Sigfrid Lundberg, Joshua Neumann, Daniel Jettka, Anastasia Wawilow, Zsofia Karopna Abraham, and Daniel Schopper. "Towards MerMEId 2.0".