Bridging the Gap: Light Code Solutions to Uniting Social Science and Modern Knowledge Graphs


How do Social Scientists with minimal coding experience leverage vast networks of research material? How can they validate their ideas based on large bodies of research?

In this presentation, Alison will take you through the example of one independent researchers journey from no-code to knowledge graph master. She will walk you thorugh the steps the researcher took, including how to format data stores, what data to collect, ways to leverage LLMs in the process and ultimately have a working knowledge graph in a dashboard with minimal coding experience.


Alison Cossette is a dynamic Data Science Strategist, Educator, and Podcast Host. As a Developer Advocate at Neo4j specializing in Graph Data Science, she brings a wealth of expertise to the field. With her strong technical background and exceptional communication skills, Alison bridges the gap between complex data science concepts and practical applications.

Alison's passion for responsible AI shines through in her work. She actively promotes ethical and transparent AI practices and believes in the transformative potential of responsible AI for industries and society. Through her engagements with industry professionals, policymakers, and the public, she advocates for the responsible development and deployment of AI technologies.

Alison's academic journey includes pursuing her Master of Science in Data Science program, specializing in Artificial Intelligence, at Northwestern University and research with Stanford University Human-Computer Interaction Crowd Research Collective. Alison combines academic knowledge with real-world experience. She leverages this expertise to educate and empower individuals and organizations in the field of data science.

Overall, Alison Cossette's multifaceted background, commitment to responsible AI, and expertise in data science make her a respected figure in the field. Through her role as a Developer Advocate at Neo4j and her podcast, she continues to drive innovation, education, and responsible practices in the exciting realm of data science and AI.

Open Data Science




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