"Data-driven decision making" is the new catchphrase for smart leadership in government, business, and nonprofit organizations. But what does it mean and how do you put it into practice? Drawing on a popular Harvard professional development course, this talk will describe the basics of data-driven decision making, including ways to choose the best data sources and analytic approaches; seven principles for effective data-driven decision making; and what the real drivers of "data-driven decision making" need to be.
New uses of big data, clinical data, and AI are revolutionizing medicine and healthcare. The applications include new strategies for research, advanced clinical decision-making, better disease prevention, and more equitable, efficient healthcare for all Americans. This talk will describe how data is revolutionizing healthcare and medicine, how challenges in data privacy and analytics can be managed ethically, how patients can be partners in data-driven healthcare, and case studies on innovative uses of data for COVID-19, Sickle Cell Disease, Lyme disease, and fighting the opioid crisis.
Data is a powerful tool for social justice: It can reveal historical and current inequities, track progress, and help chart a course for a better society. The Biden administration has issued several mandates that will drive new data-driven social justice initiatives across the country. This talk will show how data is the key to environmental and social justice, improved healthcare for underserved communities, police reform, and racial equity in housing and workforce opportunity - using examples ranging from ambitious Federal programs to local community initiatives.
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