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279 results

279 results

Phebe Vayanos (University of Southern California)
April 28, 2025
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11:30AM - 12:30PM EDT
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SEC 3.301/302/303
In Person
Talk Title: Offline risk score and policy learning for responsible allocation of scarce housing to people experiencing homelessness We study two problems in homeless services provision: the problem of learning vulnerability scoring rules that accurately...

Critical Federal Data Preservation in 2025
April 16, 2025
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1:30PM - 2:00PM EDT
|
SEC LL2.221
In Person
Since inauguration, the Trump administration has targeted the United States scientific establishment through agency firings, censorship, and funding cuts. It has explicitly targeted data that the American taxpayers have paid for—some examples include data...

Lucy Lu Wang (University of Washington)
April 7, 2025
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11:30AM - 12:30PM EDT
|
SEC 3.301/302/303
In Person
Talk Title: Language Technologies to Improve Access to and Use of Medical Knowledge Rapid advancements in natural language processing (NLP) and LLMs have the potential to enhance accessibility and comprehension of medical knowledge. These technologies can...

Bhramar Mukherjee (Yale University)
March 10, 2025
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11:30AM - 12:30PM EDT
|
SEC 3.301/302/303
In Person
Talk Title: The Data Struggle of the Unseen Despite several proposed roadmaps to increase representation in scientific research, most of the world's research data are collected on selected populations. We rely on summary statistics from dominant groups...

Sharad Goel (Harvard University, Kennedy School)
February 24, 2025
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11:30AM - 12:30PM EST
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SEC 3.301/302/303
In Person
Talk Title: A simple, statistically robust test of discrimination Imagine auditing a bank for potential discrimination. If White loan recipients were found to repay their loans less often than racial minorities, it would suggest a double standard, with a...

CRCS Winter Showcase
February 19, 2025
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4:00PM - 5:30PM EST
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SEC 2.118
In Person
Please join us at this drop-in event to: Meet and network with CRCS Fellows and the CRCS Community, including the faculty Learn more about CRCS and get a glimpse of the ongoing projects of CRCS Fellows Discover ways to get involved and join the CRCS...

Koulik Khamaru (Rutgers University)
February 10, 2025
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11:30AM - 12:30PM EST
|
SEC 3.301/302/303
In Person
Talk Title: Automated inference with the Upper Confidence Bound algorithm. This talk examines statistical inference challenges in adaptive data collection. While adaptive sampling methods are increasingly prevalent in modern applications, they invalidate...

Tech and Global Health Career Panel
November 20, 2024
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6:00PM - 8:00PM EST
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Sever Hall 206
In Person
The Tech and Global Health Initiative at Harvard College and CRCS presents a Careers Panel on Wednesday, November 6, 2024. Join us to learn about career pathways in biotechnology, biostatistics, and more with bubble tea from Kung Fu Tea! Speakers include...

Danielle Bitterman (Mass General Brigham)

November 4, 2024
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11:30AM - 12:30PM EST
|
SEC 3.301/302/303
In Person
Evaluating the quality and risks of language models for healthcare There is immense enthusiasm about the potential of large language models to support clinical and administrative workflows in healthcare. In fact, large language models are currently being...

Judd Walson (Johns Hopkins University)

October 28, 2024
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11:30AM - 12:30PM EDT
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SEC 3.301/302/303
In Person
Targeting vulnerability; differentiating mortality risk to improve child survival Despite remarkable reductions in child mortality globally, more than 5 million children continue to die annually. Most of these deaths occur in low-income and middle-income...

Rada Mihalcea (University of Michigan)

October 21, 2024
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11:30AM - 12:30PM EDT
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SEC 3.301/302/303
In Person
Why AI is W.E.I.R.D and shouldn’t be this way Recent years have witnessed remarkable advancements in AI, with language and vision models that have enabled progress in numerous applications and opened the door to the integration of AI in areas such as...
Photo of Rada Mihalcea, a white woman with shoulder length brown hair who is wearing a red button down short sleeved shirt.

Kentaro Toyama (University of Michigan)
October 7, 2024
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11:30AM - 12:30PM EDT
|
SEC 3.301/302/303
In Person
What Good is AI for Good? Recent advances in AI have led to renewed optimism about computing's ability to help solve world problems, whether it's to cure disease, rein in climate change, improve education, or alleviate poverty. By now, however, we have...