Tag: artificial intelligence

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Digital Humanities Text Analysis Training

TAPI 2024

Here is a hot-off-the-presses notice about this year’s edition of the Text Analysis Pedagogy Institute. It is free to attend, and workshop attendance now permits participants to claim a badge!

Unlock the Power of Text Analysis with TAP Institute

Are you looking to elevate your research skills and dive deep into the world of text analysis? The TAP Institute by Constellate offers an exceptional opportunity for scholars, educators, and data enthusiasts to gain expertise in text analysis and pedagogy.

What is TAP Institute?

The TAP Institute provides comprehensive training through expert-led sessions and practical experience. Participants will explore advanced text analysis techniques, access rich datasets, and join a vibrant community of like-minded professionals dedicated to digital scholarship.

Why Join TAP Institute?

  • Hands-On Learning: Engage with real-world datasets and tools.
  • Expert Instruction: Learn from leading figures in text analysis and pedagogy.
  • Community Building: Network with researchers and educators from various fields.
  • Whether you’re a seasoned researcher or just starting, the TAP Institute equips you with the knowledge and skills to excel in digital scholarship.

Ready to Enhance Your Skills?

Visit the TAP Institute page to learn more and register for upcoming sessions. Don’t miss this chance to advance your career and join a community committed to innovation in text analysis.

Start your journey with TAP Institute today and transform the way you approach research!

Categories
economics internet

Cybercrime as an Environmental Risk

An interesting article about the prevalence of cybercrime and the costs of defending against it: https://www.theglobeandmail.com/business/article-cybersecurity-cybercrime-hack-canada/. It is interesting that the move to remote work has created business opportunities for hackers, security consultants, and the cloud providers that host virtual private network access. Corporations and governments are almost guaranteed to lose money to crime, to security measures, or both. Should the costs of managing cyber risks be passed on to consumers/taxpayers? Or are they more like maritime shipping hazards that should be handled primarily by insurers? If so, digital services could only be delivered economically by the largest multinationals, much as in the maritime shipping industry.

To complicate the picture further, there are high environmental costs to maintaining all the processing power that supoorts AI-driven hacking and real-time security monitoring. But so are the costs of pushing the office workforce to commute more regularly. Should customers be asked to pay for carbon offsets for security measures, or should taxpayers and drivers be asked to pay for road maintenance, tolled roads, energy efficient vehicles, and so forth?

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research Technical

Machine Learning as a Research Tool

Here is a handy introduction to the basic principles of machine learning: Supervised vs Unsupervised Learning – What’s the Difference?. While reading it I paused to wonder whether there is any way to use machine learning for analyzing causal relationships. Machine learning automates the creation and evaluation of models but it doesn’t identify confounding variables, to run robustness checks, etc. I imagine that the predictions based on ML results tend to be rather conservative since they extrapolate the present to the future, rather than use a series of past events to identify root causes. Please feel free to correct me if there are already ML tools that have causal research functionality!