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Research direction
ESG, decarbonization, oil and gas, renewable energy, and the climate agenda — with publication opportunities.
About the direction
A project at the intersection of energy, climate, business, and public policy. Students learn to separate measurable sustainability indicators from broad claims and build an argument from evidence.
Outcome
A focused question connected to the intended field and realistic for the available timeline.
The work can combine company disclosures, policy documents, scenario comparison, sector data, and a review of current research.
A policy brief, analytical paper, or comparative ESG study suitable for an economics, sustainability, engineering, or public-policy profile.
Material for the activities list, CV, essays, portfolio, and a substantive conversation at interview.
Process
Each stage ends with a concrete decision or deliverable, so the student can see progress and the next step.
Discuss a topicConnect interests with the intended major, available evidence, and a question that can be answered.
Agree on sources, method, milestones, ethics, and what a strong final result will look like.
Work in short cycles with regular feedback, transparent revisions, and documented decisions.
Edit the paper or project, prepare the presentation, and explain how it should appear in the application.
Who it suits
You want to test a field through research, not add a decorative activity to the CV.
A strong project grows through weekly progress, reading, revision, and honest feedback.
The goal is a defensible paper, model, report, or presentation with a clear personal contribution.
FAQ
We agree the exact format, workload, and outcome after reviewing the student’s profile.
No. The starting scope and method are adjusted to the student’s current level, while the quality standards remain academic.
No ethical research program can guarantee publication. We prepare the work for a suitable journal, conference, or portfolio format and explain the review process.
The coordinator and professor compare the student’s interests, intended major, available evidence, skills, and timeline before approving the question.
Other directions
Engineering problems, modeling, materials, and technology case studies under supervision from engineering schools.
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Machine learning, data analysis, AI for good, and applied models — with a focus on research reproducibility.
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An intensive format with lectures, seminars, and a mini-research project in the academic environment of leading universities.
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