Tue, Apr 26|
Driving Social Impact With Data
A discussion about data science for social good featuring speakers from data.org, McKinsey & Company, AWS Global Impact Computing, and the Harvard T.H. Chan School of Public Health.
Time & Location
Apr 26, 2022, 3:00 PM – 4:30 PM EDT
About the event
- Danil Mikhailov (Executive Director at data.org)
- Ashley van Heteren (Partner at McKinsey & Company)
- Nelson R González (Head, AWS Global Impact Computing)
- Lisa Berkman (Director, Harvard Center for Population and Development Studies; Thomas D. Cabot Professor of Public Policy, Epidemiology, and Global Health and Population, Harvard T.H. Chan School of Public Health)
Danil Mikhailov, PhD | Executive Director @ data.org
Danil is the Executive Director of data.org. He has 20+ years experience setting up multiple start-ups and leading work across a range of diverse sectors, always investigating and innovating in the space where technology, culture, and society converge. Prior to data.org, Danil was at The Wellcome Trust, where he founded and directed the Wellcome Data Labs, an interdisciplinary team of data scientists, software developers, and social scientists, creating open-source data tools supporting Wellcome’s mission. Before joining The Wellcome Trust, Danil founded and chaired the Digital Strategy Forum for Science, Art, and Culture, in the UK. Danil holds a Ph.D. in Sociology and Communications from the University of Brunel, an MA in Philosophy, from Birkbeck, University of London, an MA in Chinese Studies, from SOAS, University of London, and a BSc in IT & Business Management, University of York.
Ashley van Heteren | Partner @ McKinsey & Company
Ashley is part of Digital McKinsey and a leader in the firm’s Healthcare Systems & Services and Pharmaceuticals & Medical Products Practices. She brings years of experience in applying digital and advanced-analytical techniques to innovation across the healthcare value chain. She engages patients, practitioners, institutions, and industry leaders to develop innovative wraparound digital services and solutions. Ashley is also a core leader in Noble Intelligence, McKinsey’s initiative on artificial intelligence (AI) for social good. This team uses analytics technology and AI to address humanitarian crises, such as helping victims of natural disasters and addressing long-term unemployment. She works with colleagues, communities, and industry leaders to develop and deploy innovative applications to help achieve the UN Sustainable Development Goals.
Nelson R. González | Head, AWS Global Impact Computing @ Amazon Web Services (AWS)
For more than 25 years, Nelson has used the power of innovation and entrepreneurship to ensure all, regardless of socioeconomic background, have meaningful life options. Using technology, public policy, and research to improve lifelong learning systems, his work has influenced policy, philanthropy, corporate innovation, and capital markets. Nelson co-founded Declara, a venture-backed collaboration platform that accelerates professional learning using cutting-edge applications of machine learning. He was Chief Strategy Officer of the Stupski Foundation, where he designed systems innovation methods for a national network focused on personalizing learning at scale. He advised the Colombian President on national innovation and poverty reduction strategies, and founded Advent Strategy, where he led dozens of engagements with impact investing, philanthropic, corporate, academic, and international development institutions focused largely on lifelong learning.
Lisa Berkman, P.h.D. | Director @ Harvard Center for Population and Development Studies; Thomas D. Cabot Professor of Public Policy, Epidemiology, and Global Health and Population @ Harvard T.H. Chan School of Public Health
Dr. Berkman is the director of the Harvard Center for Population and Development Studies (HCPDS) and the Thomas D. Cabot Professor of Public Policy and of Epidemiology at the Harvard T.H. Chan School of Public Health. She is an internationally recognized social epidemiologist whose work focuses extensively on social and policy influences on health outcomes. Her research orients toward understanding inequalities in health related to socioeconomic status, working conditions, social and economic policies, and social networks and isolation. Read more.