Projects

Third-party projects (at SUB Göttingen)

A good part of my job at SUB involves applying for funding and implementing projects. Here is a list of ongoing and past projects that I have had the opportunity to work on. In some projects I had the opportunity to share my knowledge on research data management, in others I designed technological infrastructures. Currently, I am working with my team on text and data mining in research publications.

Ongoing Projects

NFDI4Biodiversity (DFG)

  • Official role as “Participant” (SUB)
  • Participate in some working groups (main focus: research data management)

Text+ (DFG)

  • Support TA Collections

MINE: TDM-Data Infrastructure for Göttingen (internal project)

  • Project design
  • Definition of scientific use-cases

UCD-Davis Identiciation of Sustainable Developlent Goals trough Text and Datamining (internal project)

  • Team management
  • Methodical development

Digital Geochemical Data Infrastructure (DIGIS) (DFG)

  • Support with data extraction and text & datamining

Finished projects

Discuss Data (DFG/LIS, 2016 - 2020)

  • Project design and proposal writing (with Bremen)
  • Team coordination

The German Federation for Biological Data (GFBio) III (DFG/LIS, 2018 - 2021)

  • Team coordination (SUB)
  • Part of the steering commitee

The German Federation for Biological Data GFBio II (DFG/LIS, 2015 - 2018)

  • Team coordination (SUB)
  • Part of the steering commitee

CRC 990 EFForTS Phase III: INF (DFG/SFB)

  • Team coordination (INF)

CRC 990 EFForTS Phase III: INF (DFG/SFB)

  • Team coordination (INF)

Promoting and Enhancing Reuse of Information throughout the Content Lifecycle taking account of Evolving Semantics Pericles (EU/FP7, 2013 - 2017)

  • Lead WP5

Humanities Data Centre Göttingen HDC (MWK Niedersachsen, 2014 - 2016)

  • Co-Lead

Collaborative European Digital Archival Research Infrastructure CENDARI (EU/FP7, 2012 - 2016)

  • Lead WP “Infrastructre”

European Holocaust Research Infrastructure EHRI (EU/FP7, 2010 - 2015)

  • Technical support
  • project management

Digital Research Infrastructure for the Arts and Humanities DARIAH-DE II (BMBF, 2014 - 2016)

  • Part of proposal team
  • technical architecture support

Digital Research Infrastructure for the Arts and Humanities DARIAH-DE (BMBF, 2011 - 2014)

  • Lead WP3 “Forschungsdaten” at GWDG
  • National Representative “Scholary Research Data” in DARIAH-EU

Göttingen eReseach Alliance (eRA) (Project initalisation) (internal project)

  • Project management (for first project-phase)
  • Support
  • Member of steering committee

Simulation projects

Computersimuations help us to understand complex systems or conditions, which we are might not be able not observe otherwise. I model complex social systems and build multi agent simulations. This is an appealing mixture of theoretical, philosohpical and practical work. It has some thinking, but also experiments and an parctical outcome. Unlike in classical philosophical work, I have results and experiments. But I can also get lost in definitons and fundational research. This unique mixture makes computer simulations in humanities based research interesting, even if some would not call it that anymore.

Simulation of research processes

I am interested in all aspects of research, but also in research as a system. In particular, the interaction of researchers as the actors of the research process. I investigate researchers by trying to describe research processes in models and looking at specific details. I wrote my doctoral thesis on this topic and looked at specific aspects, like the publication processes or the role of third-party funding.

Artificial Societies

  • I host a web-portal for our Book about programming Artificial Societies with Prolog. The portal Künstliche Gesellschaften gives some background information, additional material and examples for the book.

Munich Simulation Group

Philosophy

Limits of knowledge

Our ability to access knowledge and process that knowledge is limited. Physical and logical hurdles represent partly insurmountable borders for our cognition. Observations fail beyond this border, assumptions are no longer provable. I am interested in the fine line to what can still be experienced. Especially, if this limit is considered from different disciplines.

Artificial intelligence und maschien learning

Artificial intelligence research has experienced many ups and downs. In recent years, technological development has particularly boosted the field of machine learning. However, these developments, impressive as they are, are not a testament to intelligent action, but could certainly be a part of the development of real AI applications. A central issue here is, of course, the definition: What is artificial intelligence or intelligence in general?

Language data

(comming soon)