Humans & Data: Empowering Skills & Shaping Careers

Workshops + mentorship + panel

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While our main conference in June explores the cutting-edge future of Data Science tools and impact, our Pre-Event in May focuses on the most critical component of the equation: the people.
"Humans + Data" is an interactive, hands-on prequel designed to bridge the gap between technical algorithms and human application. In the age of generative AI and autonomous systems, soft skills, ethical reasoning and career adaptability are becoming just as vital as coding. This event moves beyond lecture-style talks to foster deep connection, skill-building and practical problem-solving in smaller, intimate groups.

What to Expect 

This intensive session is designed to break down barriers between speakers and attendees. Through parallel workshops, an expert panel and extended mentorship, you will gain concrete tools to navigate the ethical and professional challenges of the AI era.

Program Highlights

1. The Panel: Biases in Data/Practice: Sources and Mitigation

 

This panel explores one of the most urgent challenges in modern data work: how biases created through data, models and deployment practices shape real outcomes for real people. We focus especially on how these biases influence the way women are perceived and evaluated in the job market and how they impact career progression in the age of AI.

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Our experts unpack where bias comes from — from data collection and annotation choices to model assumptions and organisational practices — and discuss what can be done to mitigate its impact in practical, measurable ways.

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We will also ask how women can stay relevant, grow influence and navigate uncertainty as AI reshapes roles, expectations and decision-making structures. Ethics is no longer a “nice to have”. It is a deployment requirement and a human one.

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2. Interactive Workshops (Parallel Tracks)

 

Choose the track that fits your current growth path:

1. Track A: Technical Ethics - Auditing AI Models for Fairness. 
   A hands-on deep dive into the methodologies and tools used to stress-test models for bias and ensure algorithmic fairness before deployment.

2. Track B: Professional Growth - Career Mapping in the Age of AI. 
   As AI automates routine tasks, data roles are shifting. This workshop helps you identify future-proof skills and map a strategic career trajectory in a changing landscape.

3. Track C: Core Competencies - Advanced Data Skills. 
   A practical session focused on sharpening specific, high-demand technical skills required for the modern data stack.

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3. Extended Mentorship & Networking 

After the panel, we move into an informal mentorship format designed for meaningful, small-group conversations. Participants can join tables hosted by speakers and invited experts to discuss career development, leadership, ethical challenges and the reality of working in data and AI today.

 

Attendees can ask questions, explore dilemmas and receive wisdom rooted in lived experience.

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This format extends the most valued part of our previous events: direct connection between practitioners across industry, academia and research.

 

Why Attend?

Connect Early: Build your network before the massive June conference.
Get Hands-On: Move from listening to doing with interactive workshops.
Interact: Smaller group sizes ensure you can ask questions and engage directly with experts.