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December 8, 2022
HDSI Annual Conference 2022 Day 1 tutorial on causal inference led by Professor José R. Zubizarreta (Associate Professor, Harvard Medical School; Associate Professor, Harvard T.H. Chan School of Public Health) at the Harvard SEC | Photo by Hannah Rose Photography
Don't forget to join us TODAY for the HDSI Industry Seminar with Acentech at 1:30 PM on Zoom! We are delighted to welcome Kelsey Rogers, Senior Consultant and Acoustician at Acentech. Register now!
All the best,
The Harvard Data Science Initiative
Latest HDSI Blog Post
Looking back at two days of data science discovery and learning, brought to you by the Harvard Data Science Initiative
HDSI Annual Conference 2022
Welcome remarks are delivered by HDSI Faculty Co-Directors Francesca Dominici and David C. Parkes at Day 2 of the HDSI Annual Conference 2022 in Klarman Hall of Harvard Business School.
Check out our summary of the HDSI Annual Conference 2022, including a letter to our attendees and speakers, photos from both days, and the causal inference tutorial recording link. We look forward to seeing you at next year's conference!
An active classical pianist, Kelsey uses her background in music and dance to inform her technical practice of acoustics. Learn more about Kelsey.
Abstract:
Acentech’s vision is to enhance human comfort, communication, artistic expression, and technical function through design and innovation in acoustics, engineering, and technology. An acoustician’s primary role on a building design team is to communicate complex acoustical information in an efficient and compelling way.
In this talk, Kelsey will discuss how acousticians measure, predict, and interpret acoustical data, and how it informs the building design process from early concept design through construction.
As a case study, Kelsey will focus on the design of the recently completed and award-winning Science and Engineering Complex at Harvard SEAS, including acoustical simulation of the central atrium that allowed designers and key stakeholders to listen to what it would sound like under a variety of possible design conditions before it was built. Read more about this Acentech project.
In this talk, Dr. Dominici will provide an overview of data science methods, including methods for Bayesian analysis, causal inference, and machine learning, to inform environmental policy. This is based on her work analyzing a data platform of unprecedented size and representativeness. The platform includes more than 500 million observations on the health experience of over 95% of the US population older than 65 years old linked to air pollution exposure and several confounders. Finally, she will provide an overview of studies on air pollution exposure, environmental racism, wildfires, and how they also can exacerbate the vulnerability to COVID-19.
Programming + Pizza: Visualizing economic data with Metroverse + Viz Hub
Tuesday, December 13, 2022
5:00 PM – 7:00 PM EST
Library Commons
Hosted by Harvard Kennedy School
This session will feature the Development & Design Team at the HKS Growth Lab, speaking about Metroverse (their most recent economic visualization tool) and other digital tools in their Viz Hub, including the Atlas of Economic Complexity. The Development & Design Team is made up of Annie White (Senior Product Manager), Steven Geofrey (Front-End Software Developer), Brendan Leonard (Back-End Developer & Data Specialist), and Nil Tuzcu (UX/UI & Data Visualization Designer).
Tuesday, January 17, 2023
9:00 AM – 4:30 PM EST
HKS campus,Wex 434 A/b
Hosted by Harvard Kennedy School Library
The Carpentries teaches foundational coding and data science skills to researchers worldwide. Every semester, the HKS Library hosts a two-day, beginner-friendly Carpentries workshop that will give you the foundational knowledge to pursue data-intensive research with confidence. Not only can the basic tools and concepts taught in these workshops help you get your assignments done more quickly and with less frustration, they’ll help prepare you to contribute to a public policy landscape where data and technical skills are in higher and higher demand. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
In our Spring 2023 Data Carpentry workshop, you’ll learn:
Spreadsheets – how to enter, format, and organize your data in preparation for analysis
OpenRefine – how to clean and fix errors in your data in preparation for analysis
R – how to start analyzing and visualizing your data
Captain.tv seminar recording with speaker Tammy Levy
Thursday, November 10, 2022
Speaker:
Tammy Levy, Chief Games Officer at Captain.tv
Abstract:
Underneath the fun of games we can find complex economies. In the last 15 years, with the rise of accessible broadband internet, video game developers have been able to regularly release game updates or "patches" through a process called live servicing. In addition to new content, game designers often add, remove, and rebalance the resources in the game – effectively manipulating the game's economy on a regular basis. In this talk, Tammy covers the basic principles of game economies and the core business KPIs used to monitor a game's performance, then walks through real examples behind the data-driven decisions for game optimization.
HDSI Public Service Data Science Graduate Fellowship
Application Deadline: March 1, 2023, 11:59 PM EST
The Harvard Data Science Initiative (HDSI) Public Service Data Science Graduate Fellowship supports Master’s students in Harvard’s data science programs (Biomedical Informatics, Health Data Science, Data Science) 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.
Eligibility requirements:
To apply for an HDSI Public Service Data Science Graduate Fellowship, you must be a registered, current student in good standing in one of the three eligible Master’s programs with expected graduation date in Fall 2023 or Spring 2024.
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