Jorge Humberto Mayorga Arnaiz
World Readiness
Jorge Mayorga Arnaiz (MSc Science and Technology Policy 2024) is a Support & Data Analyst at Researchfish, a platform that tracks research outcomes. Here, Jorge talks about how he transformed his newfound data science skills into real-world impact during his internship at Researchfish. His experience highlights the importance of measuring research outcomes, the value of hands-on data projects, and the power of collaboration in driving effective research policy.
Why did you want to work at Researchfish?
Two things drew me to Researchfish. Firstly, the impact of their work – measuring the outcomes of research funded in the UK. As a leukaemia survivor with a master's degree in Science and Technology Policy, I have a deep understanding of research's potential to save lives. To guide future impactful research, we must first understand what makes it effective.
Secondly, I was drawn to the opportunity. During my MSc, I took the Introduction to 'Data Science for Science, Technology and Innovation Studies module. Despite having little prior background in data science, I absolutely loved it. Before graduating and entering the job market, I wanted hands-on experience with a larger data project to build my skills and make me more employable.
I didn't have a data science background before my MSc. The 'Intro to Data Science' and 'Network Analysis & Infographics' modules at SPRU were essential. They taught me how to code in R, the theory behind data visualization, and most importantly, how to translate those insights into tangible policy recommendations.
Can you describe a key project you worked on?
I worked on two projects using live data from Researchfish. The first was a collaborative bibliometrics project related to the Research Excellence Framework (REF), a system used in the UK to assess research quality. Our task was to identify key indicators of high-impact research. The goal was to eventually build a predictive model to guide future impactful discoveries.
My second project was a network analysis focused on visualizing collaboration among Researchfish stakeholders. This helps identify new collaboration opportunities and develop funding strategies.
I collaborated with the Customer Success team and joined their meetings with clients. This gave me amazing insight into how clients use and value Researchfish data, helping me understand what challenges the company addresses.
What challenges did you face?
The main challenges revolved around finding the best approach for both projects within a time limit and designing presentations that clearly explained complex concepts to a non-technical audience. I overcame the first challenge by working with another intern, comparing our code to improve accuracy and efficiency. For the presentation challenge, I adapted techniques from my coursework and practiced extensively with Researchfish staff before presenting to clients.
What was your biggest takeaway about research impact?
Data has incredible power to inform decision-making. It leads to better research and ultimately, positive changes in society.
Any moments you're especially proud of?
Definitely! One was when I created the code to perfectly visualize the connections between researchers, funders, and organizations – it felt like an Eureka moment and a huge breakthrough. Another was presenting our project results to the Researchfish Best Practices Group, made up of important research organizations and funders.
Got any advice for future interns?
Develop your critical thinking skills. This will help you choose the best analysis methods and explain your reasoning confidently. And most importantly, believe in yourself!
Find out more about our MSc Science and Technology Policy