“V Thompkins, a policy and data specialist at the Crime and Justice Institute, will join an expert panel on data science and its expanding use in law, non-profit work, and criminal justice later this month in Atlanta.
Thompkins, whose work at CJI focuses on pretrial and juvenile justice systems, will participate in the Legal Analytics Forum presented by Data Science Connect on April 25 at the Georgia State University College of Law in Atlanta.
Thompkins will offer insight into the use of data in the criminal justice sphere and how policy-focused non-profit organizations can partner with criminal justice agencies to bridge technological and analytical gaps.”
“Data Nerds is a Data Science meetup that meets both weekly and monthly. Our weekly meetings involve working on data science related projects. For more information about these weekly meetups, please reach out to one of our meetup organizers.
This meetup’s topic is Expanding Abstraction in Data Science: A Sociotechnical Perspective
Data scientists are increasingly called upon to account for the broader impacts of their work, through developing ethical standards, creating consensus around the concepts of fairness and bias, and other means. Theories of sociotechnical systems, which seek to organize and explain the ways in which technologies interact with society, can help data scientists develop more interdisciplinary perspectives and build practical frameworks to tackle these complex concepts. We will discuss theories of sociotechnical systems, the ways in which data science can create systemic impacts, and how we can integrate these concepts into our work.
V Thompkins is a Policy & Data Specialist at the Crime and Justice Institute (CJI). At CJI, he is committed to developing creative, data-driven solutions to issues in the criminal justice system, and to improving the management, analysis, and transparency of government data. In addition, he is passionate about the study and implementation of ethics in artificial intelligence and machine learning, and the development of data science tools and techniques that promote justice and equity.”
This “poster” was created for an assignment in a data visualization course during my graduate studies at Northeastern University. It was created using county-level elections data and American Community Survey data, which was merged and analyzed using R, and designed in Affinity Designer.