Settled enough: Climate science, skepticism, and prudence
John P.
Research
Using Machine Learning to Demystify Startups’ Funding, Post-Money Valuation, and Success
This chapter develops a novel approach to predict post-money valuation of startups across various regions and sectors, as well as their probabilities of success.
Using Machine Learning to Demystify Startups’ Funding, Post-Money Valuation, and Success
This chapter develops a novel approach to predict post-money valuation of startups across various regions and sectors, as well as their probabilities of success.
The accuracy, equity, and jurisprudence of criminal risk assessment
Jurisdictions across the country, including the federal government through its recently enacted First Step Act, have begun using statistical algorithms (also called “instruments”) to help determine an
Permafrost carbon feedbacks threaten global climate goals
Rapid Arctic warming has intensified northern wildfires and is thawing carbon-rich permafrost.
Data as Collectively Generated Patterns: Making Sense of Data Ownership
Data ownership is power. Who should hold that power? How should data be owned?
The Practices of Objectivity in Regulatory Science
Of all the noteworthy features of modernity, one of the most remarkable, yet least remarked, is our reliance on policy makers to know what is good for us.
Personal Narratives Build Trust Across Ideological Divides
Lack of trust is a key barrier to collaboration across ideological divides.
Partnership and innovation in the pharmaceutical industry: the case of clinical research
This study attempts to test the hypothesis that collaborative research projects boost R&D performance.
Beyond Porn and Discreditation: Epistemic Promises and Perils of Deepfake Technology in Digital Lifeworlds
Deepfakes are a new form of synthetic media that broke upon the world in 2017. Bringing photoshopping to video, deepfakes replace people in existing videos with someone else’s likeness.
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