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September 8, 2022
In this issue:
New HDSR Special Issue
Featured Event
Upcoming Events
Featured Student Opportunities
Full-Time Opportunities
Engage + Connect
Dear Friends, 

Harvard Data Science Review just released its third special issue, which introduces N-of-1 trials to data scientists, methodologists, clinicians, and students. Read it here.

The keynote lecture for the Trust in Science Workshop 2022 will be delivered by Professor Melissa Leach this evening at 5:00 PM EST in Science Center A. We hope to see you there!

Don't forget to register for the Harvard ESG Conference taking place at the Harvard Business School Campus on September 15! Join us to see speakers from Microsoft, Goldman Sachs, London Stock Exchange, the Executive Office of the President of the United States, and more.

If you are a student, check out the Postdoctoral Fellowship, PhD, and internship positions available now with Professor Hima Lakkaraju.

Looking for a job? View recently posted opportunities at Harvard, Equal Opportunity Ventures, AAAS, and Captain.tv below. 

All the best,

The Harvard Data Science Initiative
New HDSR Special Issue
Special Issue 3: Personalized (N-of-1) Trials: Methods, Applications, and Impact
A new special issue of Harvard Data Science Review (HDSR)
This special issue of HDSR serves as a primer for data scientists, methodologists, clinicians, and students about personalized (N-of-1) trials. Containing contributions representing a wide range in fields, this special collection covers personalized trial methods and design considerations, data analytic and statistical approaches, and best practices for reporting, ethics, and conduct. The issue concludes with use cases of personalized trials that range from presentation of results to patients, medication side-effect testing, lower back pain management, and multimorbidity disease management.

Edited By:
  • Karina Davidson (Feinstein Institutes for Medical Research, Northwell Health) Ken Cheung (Columbia University)
  • Jerry Suls, (Feinstein Institutes for Medical Research, Northwell Health)
All articles are freely available!

Stay up to date with HDSR. Sign up to be notified about new content and important announcements!
READ NOW
Featured Event
Reimagining the Role of Business in the Public Square:  Multistakeholder Engagement on ESG Commitments, Metrics, and Accountability
Thursday, September 15, 2022
9:00 AM – 6:00 PM EST
Location: Harvard Business School Campus
Hosted by HLS Center on the Legal Profession, HBS Institute for the Study of Business in Global Society, HKS Center for Public Leadership, and HDSI
Join an in-person, interdisciplinary event dedicated to facilitating an exchange of ideas among leaders from business, public policy, law, academia and civil society about practical, principled, and effective ideas to make meaningful progress on ESG commitments, metrics, and accountability. The event has no attendence fees, will take place in-person, and will be open to the public. In attendence will be a global audience of leaders from business, government and public policy, academia, law, civil society, the media, and other key stakeholders.
REGISTER NOW
Upcoming Events
Trust in Science Workshop 2022
Vaccine Hesitancy: Between Mistrust and Miracle
Keynote: Thursday, September 8, 5:00 PM EST (TODAY)
Research Showcase: Friday, September 9 (All Day)
Hosted by the Program on Science, Technology and Society (STS) at Harvard Kennedy School and Harvard Data Science Initiative
Keynote by Professor Melissa Leach, Director of the Institute of Development Studies at Sussex University
  • Vaccine anxieties: (re)situating science and trust in a world of epidemics, exclusions and inequalities
Research showcase and panels on topics including:
  • Safeguarding Information integrity
  • Communities and Silos
  • Trust in science in comparative perspective
  • Overcoming hesitancy
REGISTER NOW
CRCS Seminar: Diverse Swarms are Better Swarms!
Thursday, September 8, 2022
5:00 PM – 6:00 PM EST
Location: Virtual
Hosted by the Center for Research on Computation and Society (CRCS) at the Harvard John A. Paulson School of Engineering and Applied Sciences
Abstract:

A common assumption in existing research on swarms is that the swarm is "homogeneous," meaning all members have the same capabilities and decision-making procedures. In this talk, Professor Kaminka will highlight some of his group's work, which in contrast explores the role of diversity in swarms. Read more.


Speaker:
  • Gal A. Kaminka, Professor at Bar Ilan University
REGISTER NOW

Precision Medicine Annual Conference 2022:
The New “Normal”?

Tuesday, September 20, 2022
10:00 AM – 4:15 PM EST
Location: Joseph B. Martin Conference Center or Virtual
Hosted by the Harvard Medical School Department of Biomedical Informatics
This year's annual conference will focus on novel applications as well as long-standing challenges of genetic testing, a measurement modality central to precision medicine. While the clinical applications of genetic testing have broadened from a single gene focus to increasingly available whole genome sequencing and genome-wide risk scores, there remains much confusion around the appropriate evidentiary standards for their use in clinical practice and in R&D. Read more.
REGISTER NOW
Programming + Pizza // Using the HKS Library for data-driven & computational research
Tuesday, September 20, 2022
5:00 PM – 7:00 PM EST
Location: Library Commons
Hosted by Harvard Kennedy School Library and Knowledge Services (LKS)
Programming + Pizza is a peer-to-peer mentoring group where those interested in programming tools and computational research can build skills and community.

At this session of Programming + Pizza, the Research & Data Services team will talk about the ways they can help you with your data and computationally-driven projects. After their presentation, attendees will have plenty of time to work on the projects of your choice – and pizza!
REGISTER NOW

Towards Life 3.0 Talk Series: The Coming AI Hackers

Thursday, September 29, 2022
4:00 PM – 5:00 PM EST
Location: Virtual
Hosted by the Carr Center for Human Rights Policy
Towards Life 3.0: Ethics and Technology in the 21st Century is a talk series that draws upon a range of scholars, technology leaders, and public interest technologists to address the ethical aspects of the long-term impact of artificial intelligence on society and human life.

Speaker:
  • Bruce Schneier|, Adjunct Lecturer in Public Policy at Harvard Kennedy School
REGISTER NOW
Featured Student Opportunities
Postdoctoral Fellowship, PhD, and Internship Positions with Professor Hima Lakkaraju
Postdoctoral Fellowship Positions
  • Algorithms and Theory for Trustworthy Generative Models
  • Applied and Human-Centric Aspects of Trustworthy ML
PhD Positions Internship Positions and Collaborations
  • Year-round internship positions available for students who are already doing their graduate studies either in the US or abroad.
LEARN MORE
Full-Time Opportunities
Recently Posted Jobs at Harvard
SAS Programmer I
Center for Biostatistics in AIDS Research (CBAR), Harvard T.H. Chan School of Public Health

Applied Research Statistician
Harvard Law School

Senior Data Scientist
Digital, Data, and Design (D^3) Institute, Harvard Business School

Program Manager
Harvard Data Science Initiative


Bioinformaticist I
The Eddy Lab, Harvard Faculty of Arts and Sciences


Data Science Specialist
Institute for Quantitative Social Science (IQSS)
Statistician
Office of Global and Community Health, Harvard School of Dental Medicine

Research Associate, Bioinformatics Analyst and/or Trainer
Department of Biostatistics, Harvard T.H. Chan School of Public Health

Senior Programmer
Department of Biostatistics, Harvard T.H. Chan School of Public Health

Software and Web Developer
Harvard T.H. Chan School of Public Health
Recently Posted External Jobs + Fellowships
Data Scientist
Equal Opportunity Ventures

Senior Product Manager
Captain.tv
Graphics Editor
AAAS

Meta Research PhD Fellowship
Meta
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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