no code implementations • 19 Mar 2024 • Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit Rodolfa, Rayid Ghani
Rental assistance programs provide individuals with financial assistance to prevent housing instabilities caused by evictions and avert homelessness.
no code implementations • 29 Sep 2023 • Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari
While algorithmic fairness is a thriving area of research, in practice, mitigating issues of bias often gets reduced to enforcing an arbitrarily chosen fairness metric, either by enforcing fairness constraints during the optimization step, post-processing model outputs, or by manipulating the training data.
no code implementations • 12 Jul 2022 • Ka Ho Brian Chor, Kit T. Rodolfa, Rayid Ghani
The ML framework guides how child welfare agencies might conceptualize a target problem that ML can solve; vet available administrative data for building ML; formulate and develop ML specifications that mirror relevant populations and interventions the agencies are undertaking; deploy, evaluate, and monitor ML as child welfare context, policy, and practice change over time.
no code implementations • 24 Jun 2022 • Kasun Amarasinghe, Kit T. Rodolfa, Sérgio Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
Most existing evaluations of explainable machine learning (ML) methods rely on simplifying assumptions or proxies that do not reflect real-world use cases; the handful of more robust evaluations on real-world settings have shortcomings in their design, resulting in limited conclusions of methods' real-world utility.
no code implementations • 2 Mar 2022 • Oscar Giles, Kasra Hosseini, Grigorios Mingas, Oliver Strickson, Louise Bowler, Camila Rangel Smith, Harrison Wilde, Jen Ning Lim, Bilal Mateen, Kasun Amarasinghe, Rayid Ghani, Alison Heppenstall, Nik Lomax, Nick Malleson, Martin O'Reilly, Sebastian Vollmerteke
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing.
1 code implementation • 13 May 2021 • Hemank Lamba, Kit T. Rodolfa, Rayid Ghani
Applications of machine learning (ML) to high-stakes policy settings -- such as education, criminal justice, healthcare, and social service delivery -- have grown rapidly in recent years, sparking important conversations about how to ensure fair outcomes from these systems.
1 code implementation • 5 Dec 2020 • Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
Growing use of machine learning in policy and social impact settings have raised concerns for fairness implications, especially for racial minorities.
2 code implementations • 27 Oct 2020 • Kasun Amarasinghe, Kit Rodolfa, Hemank Lamba, Rayid Ghani
The contribution is 1) a methodology for explainable ML researchers to identify use cases and develop methods targeted at them and 2) using that methodology for the domain of public policy and giving an example for the researchers on developing explainable ML methods that result in real-world impact.
1 code implementation • 27 Aug 2020 • Isabelle Tingzon, Niccolo Dejito, Ren Avell Flores, Rodolfo De Guzman, Liliana Carvajal, Katerine Zapata Erazo, Ivan Enrique Contreras Cala, Jeffrey Villaveces, Daniela Rubio, Rayid Ghani
Since 2014, nearly 2 million Venezuelans have fled to Colombia to escape an economically devastated country during what is one of the largest humanitarian crises in modern history.
Computers and Society
1 code implementation • 26 Aug 2020 • Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang
In this paper, we introduce bandit data-driven optimization, the first iterative prediction-prescription framework to address these pain points.
1 code implementation • 30 Jul 2020 • Harrison Wilde, Lucia Lushi Chen, Austin Nguyen, Zoe Kimpel, Joshua Sidgwick, Adolfo De Unanue, Davide Veronese, Bilal Mateen, Rayid Ghani, Sebastian Vollmer
Rough sleeping is a chronic problem faced by some of the most disadvantaged people in modern society.
1 code implementation • 1 Jun 2020 • Avishek Kumar, Arthi Ramachandran, Adolfo De Unanue, Christina Sung, Joe Walsh, John Schneider, Jessica Ridgway, Stephanie Masiello Schuette, Jeff Lauritsen, Rayid Ghani
51% of PLWH are non-adherent with their medications and eventually drop out of medical care.
1 code implementation • 24 Jan 2020 • Kit T. Rodolfa, Erika Salomon, Lauren Haynes, Ivan Higuera Mendieta, Jamie Larson, Rayid Ghani
The criminal justice system is currently ill-equipped to improve outcomes of individuals who cycle in and out of the system with a series of misdemeanor offenses.
no code implementations • 15 May 2019 • Kit T. Rodolfa, Adolfo De Unanue, Matt Gee, Rayid Ghani
Like medicine, psychology, or education, data science is fundamentally an applied discipline, with most students who receive advanced degrees in the field going on to work on practical problems.
no code implementations • 21 Dec 2018 • Sebastian Vollmer, Bilal A. Mateen, Gergo Bohner, Franz J. Király, Rayid Ghani, Pall Jonsson, Sarah Cumbers, Adrian Jonas, Katherine S. L. McAllister, Puja Myles, David Granger, Mark Birse, Richard Branson, Karel GM Moons, Gary S Collins, John P. A. Ioannidis, Chris Holmes, Harry Hemingway
Machine learning (ML), artificial intelligence (AI) and other modern statistical methods are providing new opportunities to operationalize previously untapped and rapidly growing sources of data for patient benefit.
2 code implementations • 14 Nov 2018 • Pedro Saleiro, Benedict Kuester, Loren Hinkson, Jesse London, Abby Stevens, Ari Anisfeld, Kit T. Rodolfa, Rayid Ghani
Recent work has raised concerns on the risk of unintended bias in AI systems being used nowadays that can affect individuals unfairly based on race, gender or religion, among other possible characteristics.
1 code implementation • 9 May 2018 • Avishek Kumar, Syed Ali Asad Rizvi, Benjamin Brooks, R. Ali Vanderveld, Kevin H. Wilson, Chad Kenney, Sam Edelstein, Adria Finch, Andrew Maxwell, Joe Zuckerbraun, Rayid Ghani
A barrier to proactive maintenance is the city's inability to predict the risk of failure on parts of its infrastructure.
Applications