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Event Name: Stop Saying "Motherhood Makes You Stronger" Event Date: March 6th @ 20:00 Event Format: • Online Roundtable Discussion • Guest Sharing and Interactive Discussion (may include introductory remarks from two guest speakers) • Open Mic Q&A Session Discussion Topics: • The "Invisible Work" of Household Chores: Gender Division of Labor and the Dual Burden on Women • After the Awakening of Gender Consciousness, How to Coexist with a Partner in a Family Relationship? From "Endurance" to "Negotiation" • The Conflict Between Intensive Motherhood and Gender Equality Among Partners • Work & Life Balance -Childcare Speaker Information: 👩‍🎓 Stephanie Gou • Loughborough University Doctoral Candidate at the Storytelling Research Institute, Former CIMA Accountant / UK Primary School Governor / Children's Book Translator / Columnist • Research Areas: Storytelling and Self-Identity, Storytelling and Community (Environmental) Development 👩‍🎓 Kefan Xue • PhD candidate at the University of Oxford, Master’s degree from the University of Cambridge, Bachelor’s degree from the University of Warwick • Research Focus: Sociology of Childhood and Family, with a focus on unpaid family care and gender inequality • Teaching Experience: Undergraduate tutor at the University of Oxford; has designed and taught courses on qualitative research methodology and gender studies at the University of Oxford, Shanghai Jiao Tong University, and Beijing Normal University 👨‍🎓 Haoyue Tan • PhD candidate in Sociology at University College London (UCL) • Research Focus: Sociology of Family, focusing on the culture and practice of fatherhood and masculinity in contemporary urban Chinese families • Academic Background: Master’s degree in Sociology from the University of Bristol, currently a PhD candidate at UCL

• Nan Nan Li is a passionate and versatile data & analytics leader, with over 20 years of experience primarily in the financial services industry. Currently, she is the Vice President, AI/ML & Statistical Practice at Nationwide Insurance, providing enterprise-wide advanced analytics services and solutions. Prior to Nationwide, Nan held various leadership roles at Bread Financial, Cardinal Health, etc. She’s well known in the data & analytics community and has presented at various data science conferences or meetups. Nan majored in Life Sciences for her undergrad study at the University of Science and Technology of China and received her MBA in Marketing from Case Western Reserve University. Outside work, she's also an avid community volunteer and leader, and serves on the board of Asian Festival.   www.linkedin.com/in/nanalytics   • Gary Gary has over 20 years of experience in corporate leadership roles, serving companies across industries as a top executive in data and analytics/AI/ML functions. Currently he is the principal of Chief Analytics Officer Advisory LLC. As a serial founder of internal data analytics startups at 8 organizations, Gary contributed to the maturity journey at Akron Children’s Hospital, U.S. Venture, Cardinal Health, Equifax, Anthem, Express, Chase, and Bank of America. Gary advises CEOs and Board of Directors on strategic topics including artificial intelligence, analytics, machine learning, and data management, and on making better decisions faster with higher confidence and accuracy. He also serves as fractional or interim Chief AI Officer or Chief Data and Analytics Officer. Gary focuses on designing and implementing strategic roadmap on data, analytics and AI / ML, building an agile and learning team, creating best in class tech infrastructure, and delivering measurable return on investment within a specific timeframe."   Gary's profile link is: https://www.linkedin.com/in/garycao/  Gary's thought leadership articles are here:https://www.linkedin.com/in/garycao/recent-activity/articles/   AI strategy & transformation • Over the past few years, what significant changes have you observed in the way companies or Nationwide approach AI strategy? Can you provide examples of how these strategies have evolved in the industries you are working with? • From your perspective, what are the main drivers that lead a company to adopt AI technologies? Are these drivers more internal or external? How are competitive pressures influencing changes in AI strategies?   AI Implementation • What are the most exciting applications of AI/ML that you are currently exploring or implementing?  • How do you measure the ROI of AI projects, and what metrics are most important in demonstrating value to CEOs and board members?    • What are the biggest concerns and challenges you’ve observed when businesses start to implement AI technologies? How can these challenges be mitigated?  • Based on your experience, what are the critical elements that contribute to the successful transformation of a business through AI? Can you share some specific examples of successes and what made them work?     Career Planning and advice: • For those not currently in AI/ML roles, what steps should they take to prepare for the digital transformation affecting their industries? How can they make themselves valuable in an AI-driven business environment? • For professionals who are passionate about AI/ML, how can individuals build a robust and adaptable career in AI? What are the most valuable experiences or skills that can help them advance?     AI Challenges: • What impact will generative AI have on businesses in the next 5-10 years?   • What are the most common misconceptions businesses have about AI, and how can they be addressed? 

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