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Centroid Lab

Centroid LabLab Details

Co-Directors: Michael Broda, Ph.D. / Chi-Ning Chang, Ph.D.
Location: Oliver Hall, Room 4049  |  1015 W. Main St., Richmond,  Virginia 23220
Phone: (804) 827-2629
Email: mdbroda@vcu.edu, changc10@vcu.edu
Website: https://rampages.us/centroid

The mission of Centroid Applied Machine Learning Lab is to advance the use of machine learning and artificial intelligence in the social sciences in a responsible and ethical manner. We believe that machine learning can play a vital role in improving our understanding of human behavior and societal trends, but only if it is used with care and caution.

Our lab is dedicated to providing researchers and practitioners with the knowledge, tools, and resources they need to apply machine learning methods effectively and responsibly in their work. We believe that education is key to achieving this goal, and we are committed to training the next generation of data scientists and social scientists in the principles of ethical and responsible machine learning.

As part of our mission, we are committed to conducting cutting-edge research that pushes the boundaries of what is possible with machine learning in the social sciences. We believe that our work can have a positive impact on society by improving our understanding of complex social phenomena, identifying patterns and trends that would otherwise be difficult to discern, and helping to inform policy decisions.

We recognize the potential risks and challenges associated with the use of machine learning in the social sciences, and we are committed to working with stakeholders across academia, industry, and government to address these issues. We believe that by engaging in dialogue and collaboration with others, we can ensure that machine learning is used in ways that benefit society as a whole.

In summary, our mission is to promote the responsible and ethical use of machine learning in the social sciences through research, education, and collaboration. We are committed to advancing the field of applied machine learning while also ensuring that it is used in ways that align with our values and principles. We invite researchers, practitioners, and stakeholders in academia, industry, and government to join us.