Responsible Innovation in Data Science Research

This February our 2nd year Compass students will attend workshops in responsible innovation.

Run in partnership with the School of Management, the structured module constitutes Responsible Innovation training specifically for research in Data Science.

Taking the EPSRC AREA (Anticipate, Reflect, Engage, Act) framework for Responsible Innovation as it’s starting point, the module will take students through a guided process to develop the skills, knowledge and facilitated experience to incorporate the tenets of the AREA framework in to their PhD practice. Topics covered will include:
· Ethical and societal implications of data science and computational statistics
· Skills for anticipation
· Reflexivity for researchers
· Public perception of data science and engagement of publics
· Regulatory frameworks affecting data science

What to know before studying Data Science

by Dr Daniel Lawson, Senior Lecturer in Data Science, University of Bristol and Compass CDT Co-Director 

For the first time in history, data is abundant and everywhere. This has created a new era for how we understand the world. Modern Data Science is new and changing the world, but it is rooted in cleverness throughout history.

What is Data Science used for today?

Data Science is ubiquitous today. Many choices about what to buy, what to watch, what news to read – these are either directly or indirectly influenced by recommender systems that match our history with that of others to show us something we might want. Machine Learning has revolutionised computer vision, automation has revolutionised industry and distribution, whilst self-driving cars are at least close. Knowledge is increasingly distributed, with distributed learning ranging from Wikipedia to spam detection.

(more…)

Skip to toolbar