Using Storytelling to Communicate with Stakeholders

Using Storytelling to Communicate with Stakeholders

Author: Professor Margot Gerritsen, Chisoo Lyons October 19, 2023 Duration: 40:27
Michelle Katics, CEO and co-founder of BankersLab, emphasizes the significance of merging technical, business, and soft skills in risk management training. She stresses the value of simplifying complex ideas through storytelling and encourages women to engage in data science and entrepreneurship. Additionally, Katics highlights her involvement in volunteer work, urging collaboration and diversity to foster innovation and success.

Hosted by Professor Margot Gerritsen and Chisoo Lyons, Women in Data Science Worldwide is a conversation with researchers and practitioners at the forefront of a rapidly evolving field. Each episode moves beyond abstract theory to explore the tangible, often surprising, ways data science is applied. You’ll hear firsthand accounts of analytical work creating change, whether it’s developing new models for patient care, building equitable financial systems, or parsing complex climate datasets. The discussions are grounded in the professional journeys of the guests, who offer practical advice and reflect on the challenges they’ve navigated. This podcast provides a direct audio connection to a global community of experts, highlighting the diverse thought and innovation driven by women in the discipline. Listening reveals the human story behind the algorithms and the collective effort shaping the future of technology across every sector. It’s an ongoing series for anyone curious about the real-world impact of data, from students to seasoned professionals, offering perspective and insight naturally through each guest’s experience.
Author: Language: English Episodes: 59

Women in Data Science Worldwide
Podcast Episodes
Chiara Sabatti | Algorithms and the Human Genome [not-audio_url] [/not-audio_url]

Duration: 34:51
Chiara Sabatti, professor of biomedical data science and of statistics at Stanford University, discusses trends in data science in genetics.