Haim, M. (2022). The German data journalist in 2021. Journalism Practice, Advance Online Publication. https://dx.doi.org/10.1080/17512786.2022.2098523

Haim, M. (2019). Datenjournalismus. [Data journalism.] Journalistikon. http://journalistikon.de/datenjournalismus/.

Haim, M., Pache, S., & Graefe, A. (6/2017). Visualisierte Unsicherheit. Wie (unsichere) Wahlprognosen kommuniziert und verstanden werden können. [Visualized uncertainty. How (uncertain) election forecasts can be communicated and understood.] Invited presentation at DDJ Monaco, Munich.

Haim, M. (2/2017). Daten, Maschinen, Automatisierung. Eine Chance für die Medien? [Data, Machines, Automation. A chance for the media?] Invited presentation at DJU, Nuremburg.

Haim, M. (9/2016). Computational Campaign Coverage with the PollyVote (a.k.a. the automated prediction parrot). Invited presentation at the Tow Center for Digital Journalism, Columbia University, New York.

2016: Part of an official LMU delegation to the 2nd forum of the LMU-China Academic Network (LMU-ChAN) in order to discuss possible research cooperations as well as share thoughs on the education of data journalism. http://www.en.uni-muenchen.de/about_lmu/international_net/lmu-chan/index.html

2016-2019, PollyVote: Computational Campaign Coverage. Funded by the Google Digital News Initiative (round 3). https://digitalnewsinitiative.com/dni-projects/pollyvote-computational-campaign-coverage/.

Haim, M. & Goodwin, B. (11/2016). Education for data journalism. Invited presentation at the 2nd LMU-ChAN Scientific Forum, Hangzhou.

Haim, M. (9/2016). Computational Campaign Coverage with the PollyVote (a.k.a. the automated prediction parrot). Invited presentation at Botland, CUNY Graduate School of Journalism, New York.

2016: Visiting scholar to the Tow Center for Digital Journalism at Columbia Journalism School, New York, NY. The visit dealt with both automated journalism throughout the course of the Computational Campaign Coverage project and the influence of audience metrics on online newsrooms.

Haim, M., Goodwin, B., & Graefe, A. (7/2015). A classification of technological advances in journalism. Presented at the Annual Conference of the IAMCR, Montreal.

2015: Guest lecturer on data-driven journalism at the University of Southern Denmark in Odense. The course lasted for three weeks, was located within the Master's program on journalism, and dealt with the whole process of story extraction from data.

2015-2016, Computational Campaign Coverage. Funded by Columbia University's Tow Center for Digital Journalism.

2015-2016, Data-Driven Campaign Coverage. Funded by the Volkswagenstiftung.

Berger, M., Haim, M., Graefe, A., Brosius, H.-B., & Hess, T. (2015). Aktuelles Stichwort: Computational Journalism. [Current Catchphrase: Computational Journalism.] Medienwirtschaft, 12(1), 20-23. https://dx.doi.org/10.15358/1613-0669-2015-1-22