Jorge Gustavo Rodríguez Aboytes
Projects
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Processes of Sustainability Transformation (Promotionskolleg)
Matthias Barth (Project manager, academic) , Lydia Kater-Wettstädt (Coordination) , Daniel Fischer (Partner) , Jantje Halberstadt (Partner) , Stefan Schaltegger (Partner) , Julia Leventon (Partner) , Harald Heinrichs (Partner) , Daniel J. Lang (Partner) , Arnim Wiek (Partner) , Klaus Kümmerer (Partner) , Henrik von Wehrden (Partner) , Ulli Vilsmaier (Partner) , Jorge Gustavo Rodriguez Aboytes (Project staff) , Karoline Pöggel (Project staff) , Charlott Hübel (Project staff) , Maike Buhr (Project staff) , Felix Beyers (Project staff) , Josefine Laudan (Project staff) , Stefanie Albrecht (Project staff) , Hanna Weber (Project staff) , Julius Rathgens (Project staff) , (Project staff) , Stefan Hilser (Project staff) , (Project staff)
→Project: Research
Publications
Journal contributions
- Major determinants of sustainable agriculture practices adoption: A systematic review
Neha Chauhan (Author) , Max Kretschmer (Author) , Jorge Gustavo Rodriguez Aboytes (Author) , Henrik von Wehrden (Author) , 01.05.2026 , in: Land Use Policy, 164 , 12 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Author Correction: Artificial intelligence in sustainable development research (Nature Sustainability, (2025), 8, 8, (970-978), 10.1038/s41893-025-01598-6)
Charlotte Gohr (Author) , Jorge Gustavo Rodriguez Aboytes (Author) , Sergey Belomestnykh (Author) , D. Berg-Moelleken (Author) , Neha Chauhan (Author) , John-Oliver Engler (Author) , Linda von Heydebreck (Author) , Marie J. Hintz (Author) , Max-Friedemann Kretschmer (Author) , C. Krügermeier (Author) , J. Meinberg (Author) , Anna-Lena Rau (Author) , C. Schwenck (Author) , I. Aoulkadi (Author) , S. Poll (Author) , E. Frank (Author) , F. Creutzig (Author) , O. Lemke (Author) , M. Maushart (Author) , Jannis Pfendtner-Heise (Author) , Julius Rathgens (Author) , Henrik von Wehrden (Author) , 01.11.2025 , in: Nature Sustainability, 8, 11 , p. 1408 , 1 p.Research output: Journal contributions › Comments / Debate / Reports › Research
- Artificial intelligence in sustainable development research
Charlotte Gohr (Author) , Jorge Gustavo Rodriguez Aboytes (Author) , Sergey Belomestnykh (Author) , Dagmar Berg-Moelleken (Author) , Neha Chauhan (Author) , John-Oliver Engler (Author) , Linda von Heydebreck (Author) , Marie J. Hintz (Author) , Max-Friedemann Kretschmer (Author) , Carlo Krügermeier (Author) , Jule Meinberg (Author) , Anna-Lena Rau (Author) , Christoph Schwenck (Author) , Iman Aoulkadi (Author) , Sabrina Poll (Author) , Elisabeth Frank (Author) , Felix Creutzig (Author) , Oska Lemke (Author) , M. Maushart (Author) , Jannis Pfendtner-Heise (Author) , Julius Rathgens (Author) , Henrik von Wehrden (Author) , 01.08.2025 , in: Nature Sustainability, 8, 8 , p. 970-978 , 9 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Correction to: Processes of sustainability transformation across systems scales: leveraging systemic change in the textile sector (Sustainability Science, (2024), 19, 2, (469-488), 10.1007/s11625-023-01436-8)
Julia Leventon (Author) , Maike Buhr (Author) , Lisa Keβler (Author) , Jorge Gustavo Rodriguez Aboytes (Author) , Felix Beyers (Author) , 01.05.2024 , in: Sustainability Science, 19, 3 , p. 1111 , 1 p.Research output: Journal contributions › Other (editorial matter etc.) › Research
- Processes of sustainability transformation across systems scales: leveraging systemic change in the textile sector
Julia Leventon (Author) , Maike Buhr (Author) , Lisa Keßler (Author) , Jorge Gustavo Rodriguez Aboytes (Author) , Felix Beyers (Author) , 01.03.2024 , in: Sustainability Science, 19, 2 , p. 469-488 , 20 p.Research output: Journal contributions › Journal articles › Research › peer-review
Contributions to collected editions/anthologies
- Assessment of Competencies for Sustainability in Secondary Education in Mexico
Jorge Gustavo Rodriguez Aboytes (Author) , Luz María Nieto-Caraveo (Author) , 01.01.2018 Cham , p. 199-216 , 18 p.Research output: Contributions to collected editions/anthologies › Chapter › Research › peer-review
Courses
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This seminar introduces students to the practical steps of conducting a systematic literature review as a transparent and reproducible research method. Together we will work on formulating clear research questions and translating them into structured search strings. Students will learn how to identify and select relevant academic databases and apply systematic screening procedures to titles, abstracts, and full texts. We will practice extracting and organizing metadata from articles while ensuring consistency and traceability of the review process. The seminar emphasizes transparency and reproducibility at each stage, from documenting search decisions to reporting screening outcomes. Students will engage with methods for synthesizing findings and critically reflecting on inclusion and exclusion choices. An innovative concept of textual abundance analysis will also be introduced, offering students a fresh perspective on identifying thematic patterns in large bodies of text. The course highlights common pitfalls and biases in literature reviews and how to address them. Finally, students interested in advanced approaches will be introduced to programmatic tools for automating parts of the workflow. Overall, the seminar combines hands-on exercises with critical reflection to prepare students for applying systematic review methods in their own fields.
Preliminar seminar structure:
week 1 - Why systematic reviews matter?
week 2 - Types of reviews, Topic selection, research problem and review methodology
week 3 - Creating search strings and databases
week 4 - Metadata retrieval from databased
week 5 - Abstract screening
week 6 - Full-text retrieval and full-depth search
week 7 - Meta-analysis and network analysis
week 8 - Content analysis
week 9 - Textual abundance analysis
week 10 - Reporting findings and creating visualizations
week 11 - Writing the methodolgy
week 12 - Putting everything together
week 13 - Round of questions/self-work
week 14 - Final presentations
Bonus (optional) - Workflow automation with Python
Preliminar seminar structure:
week 1 - Why systematic reviews matter?
week 2 - Types of reviews, Topic selection, research problem and review methodology
week 3 - Creating search strings and databases
week 4 - Metadata retrieval from databased
week 5 - Abstract screening
week 6 - Full-text retrieval and full-depth search
week 7 - Meta-analysis and network analysis
week 8 - Content analysis
week 9 - Textual abundance analysis
week 10 - Reporting findings and creating visualizations
week 11 - Writing the methodolgy
week 12 - Putting everything together
week 13 - Round of questions/self-work
week 14 - Final presentations
Bonus (optional) - Workflow automation with Python
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The tutorial is building on the Lecture on Statistics and Mathematics, and allows students to gain a deeper and more applied understanding of the topics from the lecture.