Seeking Research Teams for SCI Projects – Earn up to $3,800 per Manuscript, Teams Only

About Us

We maintain long-term, in-depth collaborations with research teams engaged in large-scale, data-driven research.

Our research areas are broad, covering but not limited to:

- Composite materials

- Engineering and applied modeling

- Computer science and artificial intelligence

- Social sciences and public / population health

We are data-centric and research-driven, and we do not adopt a task-based or single-manuscript writing cooperation model.

Who We Are Looking For

We are looking to connect with research leads or small research teams that already operate within a structured research framework. You or your team will be ideal partners if you have deep expertise in any of the following fields:

• Materials Science: composite materials, biomaterials, coatings and thin films
• Engineering: telecommunications engineering, environmental engineering, mechanics, automation and control systems, civil engineering, optics, etc.
• Chemistry: physical chemistry, nanoscience and nanotechnology, energy and fuels, medicinal chemistry
• Agricultural Science: agronomy, agriculture, dairy and animal science
• Mathematics: applied mathematics
• Earth Science: earth science (multidisciplinary), meteorology and atmospheric sciences, oceanography, physical geography

We hope you focus on more than just individual papers, and possess the following qualities:

- Maintain clear topic pipelines or long-term research agendas, rather than ad-hoc writing

- Skilled in conducting interdisciplinary research based on shared data or methodological frameworks

- Have publication experience across different disciplines or types of journals

How Collaboration Works (Important)

This is not a traditional employment relationship, nor a simple outsourcing arrangement.

We are looking for long-term, in-depth, research-level collaboration, as follows:

- Research directions are initiated jointly based on data and methodology

- Publication planning is structured and scalable

- Manuscript writing begins only after a clear consensus on research direction is reached

Relevant Background (Not Mandatory)

The following backgrounds will be considered a plus, but are not required:

- Long-term involvement in data-driven research (engineering, materials science, computer science, or interdisciplinary fields)

- Experience in large-scale data analysis, statistical modeling, or machine learning

- Experience leading or coordinating research teams

- Ability to think from the perspective of a research system, rather than focusing solely on individual papers

Our Philosophy

We value alignment in research philosophy more than formal titles and resumes.

If your work is data-centric and system-oriented, and you are focused on long-term, stable research collaboration, we would be very glad to start a conversation.