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The Analytical Scientist / Power List / 2025 / How do we help today's analytical scientists become tomorrow's science leaders? / Charlotta Turner

Charlotta Turner

Professor and Vice Dean of Education, Lund University, Faculty of Science, Sweden

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Meet Charlotta Turner

“To measure is to know, but measuring without knowledge is not knowing,” as stated by Werner von Siemens (1816-1892). Analytical chemistry is a measurement science that brings light to challenges of large complexity; and success only comes from a holistic view on the specific challenge. Analytical scientists are experts on holistic perspectives, and typically very interested in societal challenges from a broad outlook – food, health, environment, and policymaking. This means that analytical scientists are, or should be, a cornerstone in our society, and take lead on difficult issues that we face.

Tomorrow´s science leaders need to efficiently use generative artificial intelligence. What is absolutely crucial is to maintain a strong fundamental education in analytical science. We need to help our bachelor, master, and doctoral students to achieve a deep knowledge in analytical chemistry. We should train our students and young fellows in asking questions rather than answering questions, in order to become top-notch users of generative AI. Teachers and supervisors need to start using generative AI now, to keep up with the young generation´s already existing knowledge about AI tools and agents.

We can help today´s young analytical scientists by fostering engagement in societal challenges, and by embracing all aspects of analytical chemistry – from fundamental curiosity-driven research in analytical chemistry, to applied chemical analysis within collaborative projects, as well as routine analytical service. The success factors for our future analytical scientist leaders are three things: i) deep knowledge in analytical chemistry; ii) an ability to communicate and collaborate across disciplines; and iii) being a skilled user of generative AI.

Our future leaders, who are analytical scientists (of course), should actively think about what humans should do in the light of generative AI. Future leaders should not simply wait and see what roles will remain for humanity – what kinds of jobs generative AI agents might leave behind for us, like breadcrumbs scattered on a table. Leaders should already now carve out a strategy for how humans, together with generative AI, will take on the enormous challenges of climate change, food and water security, and life conditions in low-income and conflict-affected countries.

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