Upcoming Special Seminar Upcoming Events
HDSI Affiliate News + Research
Featured Opportunities Full-Time Opportunities at Harvard
Engage + Connect
February 17, 2023
Dear Friends,
Join us in congratulating Himabindu Lakkaraju on receiving the National Science Foundation (NSF) CAREER award! This award will help accelerate her team's research on systematically characterizing and improving the trustworthiness of machine learning models.
Registration is open for the next seminar in this series, "Digital Trust as a Global Concept," taking place on Thursday, March 2 at 1:30 PM EST! We will welcome back Liz Grennan, Expert Associate Partner at McKinsey & Company, and Harvard Kennedy School alumnus Daniel Dobrygowski, Head of Governance and Trust at World Economic Forum. Register now!
Upcoming Seminar
Special Series: Data Leadership, Spring 2023
Join us in the Spring 2023 Term for a series of conversations with McKinsey & Company on digital trust, AI, data governance, ethics, and regulation, featuring industry experts from across sectors like life sciences, NGOs, finance, and more.
Digital Trust as a Global Concept Hosted by Harvard Data Science Initiative | Co-hosted by Harvard John A. Paulson School of Engineering and Applied Sciences
Featuring McKinsey & Company
Thursday, March 2, 2023
1:30 PM – 2:30 PM EST
Online
Speakers:
Daniel Dobrygowski, Head of Governance and Trust, World Economic Forum
Liz Grennan, Expert Associate Partner, McKinsey & Company
Thursday, February 23, 2023 4:00 PM – 5:00 PM EST FXB – G13
Featuring HDSI Planning Committee and Steering Committee Member Samuel Kou. Read abstract.
Speaker:
Samuel Kou, PhD, Chair of Department of Statistics, Harvard Faculty of Arts and Sciences; Professor of Biostatistics, Harvard T.H. Chan School of Public Health
Tuesday, February 28, 2023 7:30 PM – 9:00 PM PST Stanford University | Mackenzie Room, Huang Engineering Center
This event is the first Stanford Data Science Distinguished Lecture. HDSI Faculty Co-Director, Dr. Francesca Dominici, will speak on Decoding Climate Vulnerability: Harnessing the Power of Data Science and Causal Inference.
Speaker:
Francesca Dominici,PhD, Clarence James Gamble Professor of Biostatistics, Population, and Data Science, Harvard T.H. Chan School of Public Health
Thursday, March 2, 2023
3:30 PM – 5:30 PM EST Hawes Hall, Classroom 203, HBS
When should you adjust standard errors for clustering?
Abstract:
Clustered standard errors, with clusters defined by factors such as geography, are widespread in empirical research in economics and many other disciplines. Formally, clustered standard errors adjust for the correlations induced by sampling the outcome variable from a data-generating process with unobserved cluster-level components. Read more.
Friday, March 3, 2023
12:00 PM – 1:30 PM EST CGIS South, S050: Thomas Chan-Soo Kang Room
As of Tuesday, February 14, the total death toll of the recent 7.8 and 7.5 magnitude earthquakes that struck Turkey earlier in the month has risen to 41,219. Of that total, at least 35,418 people have been killed in Turkey and 5,801 in both government- and rebel-controlled areas of Syria. Read more.
Join CrisisReady for our next Data in Crises event, hosted in collaboration with the Harvard Data Science Initiative, where we will convene a group of experts to discuss how data can be used to attend to both the immediate and long-term impacts of this disaster. Representatives from the Syrian American Medical Society, Humanitarian OpenStreet Map in Turkey, and Yale University will be joining the discussion.
Speakers:
Caroline Buckee, Co-Director, CrisisReady; Professor of Epidemiology, Harvard T.H. Chan School of Public Health
Andrew Schroeder, Co-Director, CrisisReady; Vice President of Research and Analysis, Direct Relief
Özge Acar, Technical Coordinator, NeedsMap Social Cooperative
Can Unen, OpenStreetMap Trainer for the Asia-Pacific Regional Hub, Humanitarian OpenStreetMap, Turkey
Nathaniel Raymond, Lecturer, Yale University School of Public Health; Jackson Institute for Global Affairs at Yale University
Friday, March 10, 2023
8:00 AM – 4:30 PM EST Microsoft NERD Center
For the seventh year, MIT, Harvard, and Microsoft Research New England are proud to collaborate with Stanford University to bring the Women in Data Science (WiDS) conference to Cambridge, Massachusetts. This one-day conference will feature an all-female line up of speakers and panelists from academia and industry to talk about the latest data science-related research in a number of domains, to learn how leading-edge companies are leveraging data science for success.Panelists for the "Data, Climate Change, and Global Health" discussion include HDSI Faculty Affiliates Bethany Hedt-Gauthier and Rachel Nethery.
Registration is now open! The registration fee for this event is $20 for students and postdocs, and $40 for professionals and industry attendees. Breakfast, lunch, and snacks during coffee breaks are included.
All registrants are invited to apply for a registration fee waiver. Please email wids-cambridge@mit.edu to receive more information on applying for the fee waiver.
Friday, March 24, 2023
10:00 AM – 12:30 (CET) Het Trippenhuis, Kloveniersburgwal 29, Amsterdam
How does data science inform environmental policy? Why is it important that we value research outputs in a future-proof way? And how can we foster true-to-life and ethical data science? Some important discussions on the way we conduct research are taking place in the world of data science today. Exciting topics that will be addressed by 3 world-leading data scientists on Friday, March 24, 2023!
HDSI Faculty Affiliates Elena Glassman and Stratos Idreos of Harvard SEAS win the Alfred P. Sloan Foundation's 2023 Sloan Research Fellowship in computer science. Glassman and Idreos are among the early-career scholars who represent the most promising scientific researchers working today.
In a recent paper co-authored by HDSI Faculty Affiliate Soroush Saghafian, data from 2.6m patient visits show that physicians significantly alter care processes after vertical integration and that patients' post-procedure complications increase substantially.
A new study co-authored by HDSI Faculty Affiliate Peter Huybers found that over time, as industrial air pollution increased throughout Turner’s and Monet’s careers, skies in their paintings became hazier, too.
The HDSI (Harvard Data Science Initiative) Public Service Data Science Graduate Fellowship supports Master’s students in Harvard’s data science programs (Biomedical Informatics (HMS), Health Data Science (HSPH), Data Science (SEAS)) who want to explore career paths at not-for-profit and public sector organizations through a summer internship.
The fellowship includes a $15,000 stipend to support an unpaid summer 2023 internship at a not-for-profit or public sector organization that either (a) applies data science to solve social challenges, or (b) advocates for responsible data science. The stipend is intended to support living expenses during the summer and may not be used for tuition.
Interested in reading more about data science projects and news at Harvard? Check out our blog for features, top stories, and what we are learning now in the world of data.
Interested in engaging more with the Data Science community at Harvard? Join our Slack! The Slack is currently Harvard only, so if you are interested simply click the button below and send us an email from your Harvard email address.
