Harvard Data Science Initiative Competitive Research Fund
Deadline: March 6, 2018 by 5:00PM
Award Amount: Up to $100,000
Eligible Applicants: Individuals who hold a faculty appointment at a Harvard school and who have principal investigator rights at that school
The goal of the Data Science Initiative Competitive Research Fund is to support research that advances data science at Harvard in new ways. In 2018, funds will be used to support planning grants within and across each of five themes:
- Data-Driven Scientific Discovery (includes discovery of new materials, drug and gene discovery, environment, astronomy, neuroscience)
- Markets and Networks (includes networks and influence, innovation and crowds, digital economy, jobs, fairness, privacy, accountability, crowdsourcing)
- Personalized Health (includes precision medicine, precision public health, medical informatics, diagnostics, personal devices)
- Evidence-Based Policy (includes equality of opportunity, healthcare economics, democracy and governance, climate change — resilience and mitigation)
- Advanced Methodologies (includes causal inference, deep learning, visualization, Monte Carlo methods, experimental design, interpretability, non-parametric Bayesian, high-dimensional inference, robust machine learning, control of false discovery, human-in-the-loop, reinforcement learning, data systems, reproducibility, data sharing)
This call invites innovative ideas for projects that will be foundational to longer-term research programs in any of the five themes listed above. Projects that span two or more themes are also encouraged.
Questions about the Data Science Initiative may be directed to email@example.com.