Pre-course Survey: 2026 Summer School on Environmental and Ecological Systems Engineering

Thank you for attending the 2026 Summer School on Environmental and Ecological Systems Engineering at Beijing Normal University. This short survey will help us understand your research background and interests, so that we can design the practical exercise around topics that are most relevant to participants.

Section 1: Basic information

1. Your name

2. Your university / institution

3. Your current research degree / role

Master’s studentPhD studentPostdoctoral researcherEarly-career researcherOther, please specify

4. Your research discipline / field

Section 2: Research background

5. What is the title of your Master’s or PhD research project?

6. Please briefly describe your research project in 2–3 sentences.

7. Which methods have you used before?

Material Flow Analysis (MFA)Life Cycle Assessment (LCA)Techno-economic Analysis (TEA)Input-output analysisGIS / spatial analysisOptimisation modellingMachine learning / data-driven modellingI have not used these methods beforeOther, please specify

8. Please rate your experience with the following methods

None
Basic
Intermediate
Advanced

Material Flow Analysis (MFA)

Life Cycle Assessment (LCA)

Techno-economic Analysis (TEA)

Systems modelling

Section 3: Learning interests

9. What would you most like to learn from using MFA, LCA, or TEA?

How to quantify material flows and resource demandHow to assess environmental impacts and carbon emissionsHow to compare different technologies or scenariosHow to evaluate circular economy strategiesHow to assess costs and economic feasibilityHow to combine environmental and economic analysisHow to use these methods in my own research projectOther, please specify

10. Which application areas are you most interested in for the practical exercise?

Electric vehicle batteriesHydrogenWind technologiesSolar technologiesPlasticsWaste management and recyclingUrban systemsFood, land, and agricultureWater and wastewater systemsOther, please specify

11. Which type of exercise would be most useful for you?

A beginner-friendly worked exampleA hands-on calculation exercise using ExcelA data analysis exercise using Python or other softwareA group-based case study discussionA scenario comparison exerciseA research design exercise linked to participants’ own projects

Section 4: Software and practical skills

12. What software or tools are you comfortable using?

ExcelPythonRMATLABSimaProopenLCAOther, please specifyNone of the above

13. Have you used Python before?

No, I have never used PythonYes, but only very basic experienceYes, I can read and slightly modify Python scriptsYes, I can write Python scripts for data analysisYes, I use Python regularly in my research

14. If you have used Python before, what have you used it for?

Data cleaning and processingData visualisationStatistical analysisModelling or simulationMachine learningGIS / spatial analysisAutomation of repetitive tasksI have not used Python beforeOther, please specify

Section 5: Expectations

15. Do you have any specific questions or topics you hope the summer school will cover?

16. Are you happy to work in a small group during the practical exercise?

YesNoMaybe

17. Is there anything else you would like the instructors to know about your background, interests, or expectations?

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