Project:Personas
In the mathematical research community, diversity in skills and needs isn't merely an abstract notion; it's a fundamental reality. To better understand and cater to this varied group, we've developed personas — fictional characters that embody the distinct goals, motivations, and challenges of our users. These personas help us fine-tune our services to provide real value not only in development but also in using them in real-world scenarios. They guide the design and enhancement of the portal and the offered services, ensuring that each user, from the seasoned researcher to the innovative data scientist, finds a pathway that resonates with their specific requirements. However, while these personas are instrumental in refining our understanding and approach, they are, of course, simplifications and should not be seen as exhaustive representations of our diverse community.
Dr. Emma Lorenz, Mathematics Researcher
- Background: Emma is an experienced mathematics researcher specializing in numerical methods.
- Goals: To find cutting-edge mathematical datasets that can enhance her research quality and output.
- Motivation: Emma is driven by the desire to contribute significant advancements in her field.
- Frustrations: Difficulty in quickly locating high-quality, relevant datasets and dealing with inconsistent data formats.
- Wishes: Emma wishes for a more intuitive and seamless access to diverse mathematical datasets and research collaborations.
Lucas Schmidt, PhD Student
- Background: Lucas is a doctoral candidate in applied mathematics.
- Goals: To access and utilize advanced mathematical tools and data for his thesis work.
- Motivation: Lucas is motivated by his ambition to become a leading expert in his area of study.
- Frustrations: Overwhelmed by the vast amount of information available and how to apply it effectively.
- Wishes: Lucas wishes for streamlined access to tutorials and examples that demonstrate the practical application of theoretical math.
Yasmin Abboud, Data Scientist
- Background: Yasmin is a data scientist in a tech company, using mathematical models for machine learning.
- Goals: To streamline the integration of theoretical mathematical approaches with practical machine learning models.
- Motivation: Yasmin aims to innovate within her field by leveraging the latest research.
- Frustrations: The gap between theoretical frameworks and their practical application.
- Wishes: Yasmin wishes for more collaborative tools and platforms that bridge the gap between theoretical math and practical applications.
