[in case you are interested in information about the workshop CYBERPLAN at the INFORMATIK23 conference, please have a look here or here]

Critical Mathematical Economics and Progressive Computer Science

Thanks a lot for your interest in my homepage on Progressive Computer Science and Critical Mathematical Economics. It is still under construction and will be supplemented soon. Don't hesitate to contact me in case you have any questions/suggestions concerning the material collected below.

I would also be very happy if you have ideas for potential common research projects in the direction of CME and PCS, as it is a formidable task to build a coherent and appealing alternative to the mainstream currently dominating economics. Also, I am deeply convinced that the ecological crisis necessarily demands research on post-capitalist economic systems, to which computer science (as well as many other fields) urgently needs to contribute in order to achieve social progress.

In that context, I initiated and co-organized a workshop on democratic economic planning at the annual meeting of Gesellschaft für Informatik, the largest association of computer scientists in Germany. Please find an overview about the content as well as the organising team here (including a detailed programme with the list of speakers).

Critical Mathematical Economics (CME) stands for combining advanced tools from modern mathematics with a critical view towards economics, especially towards the "free market ideology", which claims that unregulated markets benefit everyone and achieve a "social optiumum" (see e.g. The Financial Crisis and the Systemic Failure of Academic Economics, Dahlem Report 2008).

A different term for such a project could be Mathematics for New Economic Thinking, this is the title of a workshop organized by Matheus Grasselli at the Fields Institute in Toronto - he has also given a video-interview How Advanced Mathematics Can Support New Economic Thinking. I did a Post-Doc with him in Canada 2014-2015 at McMaster University and at the Fields Institute, where I also co-organized a workshop on Complexity Economics and one on Inequality.

About me

Currently, I work as "Advisor for Data Engineering, Data Science and Machine Learning" at the Zukunft – Umwelt – Gesellschaft (ZUG) gGmbH. My project there is called "AI Commons Lab" (KI-Ideenwerkstatt in German), and deals with applications of artificial intelligence for the common good, with a focus on protecting the environement. Recently, I have organized two "Lab Talks" with topics related to Circular Economy (more info here and here, and a blog-entry I wrote together with a colleague on the topic can be found here, all in German).

Before, I have worked at the department for political strategy and fundamental policy questions at the federal office of the party DIE LINKE. I am also an Associated Member of the IPE Berlin and of the research group on Mathematics of Machine Learning at FU Berlin.

For more information on my earlier research interests, please have a look at the homepage of my former working group, the Nonlinear Dynamics Group at Free University Berlin. But please note that I am not using the email address provided there anymore, but johannes.buchner at z-u-g.org (replace the "at" by @).
The Finan­cial Cri­sis and the Sys­temic Fail­ure of Aca­d­e­mic Economics - See more at: http://www.debtdeflation.com/blogs/2009/02/26/and-you-think-im-ornery-the-dahlem-report/#sthash.4x9GUr0I.dpuf
The Finan­cial Cri­sis and the Sys­temic Fail­ure of Aca­d­e­mic Economics - See more at: http://www.debtdeflation.com/blogs/2009/02/26/and-you-think-im-ornery-the-dahlem-report/#sthash.4x9GUr0I.dpuf

Own Research CME and PCS

Other / Earlier Research Output

[to be supplemented soon]