Since its launch in 2017, the HDSI has worked across Harvard to unite leading computer scientists, statisticians, and domain experts from law, business, public policy, education, medicine, public health, and myriad academic disciplines to derive meaningful and actionable insights that shape the new science of data. Its research drives data-driven policy and analyzes implications of big data for human society. We welcome your interest and hope you will explore this site to learn more.
COVID-19 Resources Collected by the HDSI
Researchers across Harvard are using data science to tackle the novel coronavirus in an attempt to understand its transmission and slow its spread. In this unprecedented period, we will post their stories on this website and across our social media accounts. Featured work may represent initial results of early stage research conducted at Harvard University and may not yet have undergone peer review. This research is evolving quickly.
If you know of important work or opportunities that you would like us to highlight, please email email@example.com.
Featured Job Listings
Harvard Data Science Twitter
- A Reminder… be sure to RSVP soon for .…. Machine Learning and Public Policy with @Soroush_Saghaf #publicpolicy #machinelearning 1/27 at 12:00 PM - 1:00 PM EST Online t.co/sqbtKzWMNd
- SAVE-THE-DATE for the Women in Data Science (WiDS)-Cambridge Conference on Monday, March 4, 2019. This event is free and open to the public but registration will be required. More info will be posted shortly t.co/Pmo821U3To. #WiDS2019
The second workshop in our Spatial #DataScience Workshop Series takes place this FRIDAY at 12:00 PM EST! This is a Harvard Affiliate Only event. Register:
#MachineLearning @Esri @HarvardCGA t.co/aqDIIcfrCN
- We are pleased to announce the launch of EPoD's Evidence Corps Internship Program! @EPoDHarvard is committed to connecting Harvard students with collaborators to help build the next generation of development economists. Learn more about the program here: t.co/l4RvepbgLB
- Today at 12 noon ET: the Workshop in Applied Statistics returns as Tracy Ke (Harvard) presents "Learning Research Areas and Author Research Interests from Bibtex and Citations." t.co/ds7Xqdka5E