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Discrimination, fairness and prediction in policing : fare evasion in New York City
(Massachusetts Institute of Technology, 2020)
Predictive policing has quickly become widespread in the United States. Practitioners claim it can greatly increase police efficiency and base decisions on objective statistics. Critics say that these algorithms reproduce ...
Learning from supply shocks in the energy market : evidence from local and global impacts of the shale revolution
(Massachusetts Institute of Technology, 2020)
In this thesis, we carry out three studies of the local and global impacts of supply shocks in energy markets, and also analyze certain properties of these markets. First, the relationship between US power plants and local ...
Networked interactions, graphical models and econometrics perspectives in data analysis
(Massachusetts Institute of Technology, 2020)
This thesis is composed of two independent parts. In Part I, we study higher-order interactions in both graphical models and networks, i.e., interactions between more than two nodes. In the graphical model setting, we do ...
Opportunities for U.S.-China scientific collaboration in building a bilateral quantum network
(Massachusetts Institute of Technology, 2020)
From advancements in time transfer to networked science, quantum networks can enable a new host of experiments that would not otherwise be achievable. We can learn a lot about building such a network to connect quantum ...
Estimating lower bounds for time series prediction error
(Massachusetts Institute of Technology, 2020)
Research on how to evaluate the time series prediction algorithms are relatively under investigated compared to those to develop prediction algorithms. This research presents a way to estimate lower bounds for a time series ...
Open innovation in the US Air Force
(Massachusetts Institute of Technology, 2020)
If the Air Force is to maintain lethality and readiness, we must learn to adapt technologies and praxis within an increasingly diffuse knowledge landscape. This thesis examines two efforts orchestrated through AFWERX that ...
A machine learning approach to evaluating renewable energy technology : an alternative LACE study on solar photo-voltaic (PV)
(Massachusetts Institute of Technology, 2020)
Currently, renewable technologies are often evaluated using the Levelized cost of electricity (LCOE), which is a measure of building and operating a generating plant over an assumed αnancial life and duty cycle. Naturally, ...