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In this issue:
HDSI + AWS Impact Computing
Featured Event
Upcoming Events
Postdoc Fellowship Opportunities
Full-Time + Internship Opportunities
Engage + Connect
November 10, 2022
Dear Friends, 

📣 A REALLY BIG ANNOUNCEMENT! 📣 This week, we launched the AWS Impact Computing Project at the HDSI. What is Impact Computing, you ask? Learn more at our HDSI Annual Conference next Wednesday 11/16. Come join us in-person or by livestream!

Did you miss out on reserving in-person tickets for the Day 1 tutorial on causal inference with Professor Jose Zubizarreta? We just added a virtual option! Register to join us for this session on Zoom.

We can't wait to see you next week at the conference!

All the best,

The Harvard Data Science Initiative
AWS Impact Computing Project at the HDSI
HDSI Announces a New Collaboration
Harvard Data Science Initiative, Amazon Web Services join to boost research, unlock solutions to health, climate, economic challenges.

"There are so many urgent societal problems where we can hope to make positive impacts by enabling access to better technology, better data, and better partners for our faculty through this project." – Francesca Dominici, HDSI Faculty Co-Director

"The cloud computing that this alliance allows us to engage in (is) a democratizing force ... We hope the project will act as an accelerant for Harvard as a whole and beyond." – David Parkes, HDSI Faculty Co-Director
Featured Event
Two days of in-person workshops, tutorials, + plenary sessions
Tuesday, November 15
9:00 AM – 5:00 PM EST

Science + Engineering Complex, Harvard SEAS
Wednesday, November 16, 2022
8:00 AM – 6:30 PM EST

Klarman Hall,
Harvard Business School
It's time to get ready for the Conference! Read the abstracts and schedules for the sessions you are registered for: Meet our speakers! View the full list of speakers for Day 1 and Day 2.
👩🏻‍💻 We just added the opportunity to join us virtually for the Day 1 tutorial on causal inference with Professor Jose Zubizarreta! Register now via Zoom here.

Don't miss out on this opportunity to connect with data science professionals, expert methodologists, and educators across disciplines to ignite new discoveries with impacts on health, education, economics, social policy, business, and the humanities.

🎟 This event is free and open to the public. Ticket required for admission. Please RSVP to reserve your spot.
Upcoming Events
Programming + Pizza // Maximizing imperfect data for decision-making
Hosted by Harvard Kennedy School
Tuesday, November 15, 2022
5:00 PM 7:00 PM EST
Library Commons
Each session of Programming + Pizza also features a presentation from a person or team working on an interesting data project. This session will feature Courtney Hall, the Director for Impact Assessment and Evaluation at the Bloomberg Harvard City Leadership Initiative at the Bloomberg Center for Cities. Courtney will address the common issue that in practice, the data we have to work with is rarely perfect – yet we still need to use them to make actionable recommendations to decision makers. Courtney will discuss ways to maximize the quality of survey and interview data, maintain rigor in analysis, and develop insights that are understandable and actionable for decision makers. She’ll also share how she has implemented these strategies in her work, both in her current role and in her past role as Senior Statistician for the New Mexico Public Education Department.
Causal Seminar: Fabrizia Mealli, University of Florence
Hosted by the Harvard Data Science Initiative
Thursday, November 17, 2022
3:30 PM  5:30 PM EST

Hawes Hall, Classroom 203, Harvard Business School
Selecting Subpopulations in RD Designs Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs

Abstract: The Brazil Bolsa Familia program is a conditional cash transfer program aimed to reduce short-term poverty by direct cash transfers and to fight long-term poverty by increasing human capital among poor Brazilian people. Eligibility for Bolsa Familia benefits depends on a cutoff rule, which classifies the study as a regression discontinuity (RD) design. Extracting causal information from RD studies is challenging. Following Li, Mattei, Mealli (2015)  and Branson, Mealli (2019), we formally describe the RD design as a local randomized experiment within the potential outcome approach. Under this framework, causal effects can be identified and estimated on a subpopulation where a local overlap assumption, a local SUTVA and a local ignorability assumption hold. We first discuss the potential advantages of this framework, in settings where assumptions are judged plausible, which concern both the definition of the causal estimands, as well as the design and the analysis of the study, and the interpretation and generalizability of the results. Read more.
Postdoctoral Fellowship Opportunities
Open Positions at the Zitnik Lab
Interested in artificial intelligence in medicine and science? Apply for the opportunity to join Professor Marinka Zitnik, recipient of the 2022 Young Mentor Award at Harvard Medical School, as a Postdoctoral Research Fellow in the Department of Biomedical Informatics (DBMI)!

Full-time + Internship Opportunities
Recently Posted Jobs at Harvard
Data Engineer
Harvard Medical School

DevSecOps Engineer
Harvard Medical School

Software Developer
Harvard Medical School

SQL Server Developer
Harvard Graduate School of Education
Senior Programmer
Harvard T.H. Chan School of Public Health

Bioinformaticist I
Harvard Faculty of Arts and Sciences

Bioinformatics Scientist
Harvard Faculty of Arts and Sciences
Data Science Internship Opportunity
Graduate Data Science Intern

CrisisReady, a research platform based at Harvard and Direct Relief, is looking for a graduate intern to help the team generate data analyses during a wide array of critical, rapidly-evolving global emergencies.
Engage + Connect
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.
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The era of data is upon us.
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