Christoph Schwenck
Biographic Data
| ID | 5774781 |
|---|---|
| NAME | Christoph Schwenck |
| GIVEN NAMES | Christoph |
| FAMILY NAME | Schwenck |
| SIGNATURE | SCHWENCK C |
| AFFILIATIONS | Leuphana University of Lüneburg |
| ORCID | 0009-0009-6938-9951 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
A coffee corridor for biodiversity and livelihoods
Around the world, restoration activities are underway to halt and reverse ecosystem degradation. A key challenge is to identify restoration approaches that work for both people and nature – i.e. approaches that can sustain livelihoods as well as biodiversity. Here, we focused on a mosaic landscape in western Rwanda. The landscape features two strictly protected remnant patches of Afromontane rainforest (Gishwati and Mukura forests), which are of …
Artificial intelligence in sustainable development research
Artificial intelligence (AI) holds significant potential to advance Sustainable Development Goals by enabling data-driven insights and optimizations. In this analysis, we review 792 articles that explore AI applications in Sustainable Development Goal-related research. The literature is organized along two dimensions: (1) the disciplinary spectrum, from natural sciences to the humanities, and (2) the focus, distinguishing economic from socioecolo…
Making mutual learning tangible
This paper proposes an approach to capture mutual learning within transdisciplinary research to develop future-oriented sustainability solutions to land use conflicts. While quality criteria for transdisciplinary research projects are increasingly discussed, there is still ample methodological potential to enable and better understand mutual learning as a key component of transdisciplinarity. Changes in the specific developments of perceptions of…
Making mutual learning tangible
This paper proposes an approach to capture mutual learning within transdisciplinary research to develop future-oriented sustainability solutions to land use conflicts. While quality criteria for transdisciplinary research projects are increasingly discussed, there is still ample methodological potential to enable and better understand mutual learning as a key component of transdisciplinarity. Changes in the specific developments of perceptions of…
Making mutual learning tangible
This paper proposes an approach to capture mutual learning within transdisciplinary research to develop future-oriented sustainability solutions to land use conflicts. While quality criteria for transdisciplinary research projects are increasingly discussed, there is still ample methodological potential to enable and better understand mutual learning as a key component of transdisciplinarity. Changes in the specific developments of perceptions of…
A coffee corridor for biodiversity and livelihoods
Around the world, restoration activities are underway to halt and reverse ecosystem degradation. A key challenge is to identify restoration approaches that work for both people and nature – i.e. approaches that can sustain livelihoods as well as biodiversity. Here, we focused on a mosaic landscape in western Rwanda. The landscape features two strictly protected remnant patches of Afromontane rainforest (Gishwati and Mukura forests), which are of …
Artificial intelligence in sustainable development research
Artificial intelligence (AI) holds significant potential to advance Sustainable Development Goals by enabling data-driven insights and optimizations. In this analysis, we review 792 articles that explore AI applications in Sustainable Development Goal-related research. The literature is organized along two dimensions: (1) the disciplinary spectrum, from natural sciences to the humanities, and (2) the focus, distinguishing economic from socioecolo…
Artificial Intelligence (2 works) · Computer Science (2 works) · Ecology (2 works) · Agriculture (1 works) · Agroforestry (1 works) · Archaeology (1 works) · Artificial Intelligence (1 works) · Biodiversity (1 works) · Biology (1 works) · Business (1 works)