State of Data Science Series (SODS)
The DS-I Africa State of Data Science Series is a collection of online, interactive panel discussions that will take place on a weekly basis in September and October 2020. These sessions will feature presentations by experts in their field, a moderated discussion, and opportunities for Q&A. Registration is free and open to the public. Video recordings of each session will posted on this website as they become available.
Click on the links below for information on each session.
September 15, 9:00 am EDT | 4:00 pm EAT
This session will focus on opportunities and challenges at the intersection of biomedical imaging (including microscopy, diagnostic and interventional radiology, and digital pathology) and data science. The session will both consider new and emerging imaging modalities as well as computer-aided diagnosis and treatment planning tools and emerging AI/machine learning approaches to image analysis.
Paul Pearlman, Program Director/Lead, Global Health Technology, Center for Global Health, US National Cancer Institute (NCI), National Institutes of Health
- Dan Milner, Chief Medical Officer, American Society of Clinical Pathology (ASCP) Center for Global Health
- Michael Kawooya, Professor/Director, Ernest Cook Ultrasound Research and Education Institute (ECUREI)
- Celia Cintas, Research Scientist, IBM Research Africa
- Sameer Antani, Chief for the Communications Engineering Branch and the Computer Science Branch, Lister Hill National Center for Biomedical Communications at the US National Library of Medicine (NLM), National Institutes of Health
September 23, 9:00 am EDT | 4:00 pm EAT
Environmental Health challenges in Africa are complex, involving a broad range of exposures, including ambient and indoor air pollution, electronic waste, heavy metals, pesticides, vector-borne pathogens, and climate change, and a large proportion of the disease burden in Africa is linked to environmental factors. This session will explore unique aspects and analytic challenges of the various types of environmental health data and will highlight recent data science approaches to characterizing hazardous exposures on the African continent, connecting environmental exposures to health outcomes, and reducing the risk of disease connected to the environment. Video recording coming soon.
Gwen Collman, Acting Deputy Director, Associate Director for Extramural Research, National Institute of Environmental Health Sciences
- Kiros Berhane, Professor and Chair, Department of Biostatistics, Mailman School of Public Health, Columbia University
- Caradee Wright, Senior Specialist Scientist, Environment and Health Research Unit, South African Medical Research Council
- Engineer Bainomugisha, Associate Professor and Chair, Department of Computer Science, School of Computing & IT, Makerere University
September 30, 9:00 am EDT | 4:00 pm EAT
This session will address emerging opportunities and challenges in the application of Data Science and Informatics technologies in various biomedical domains. It will also highlight some key challenges in the areas of data mining, data quality, standards for various types of data, in addition to addressing how cutting-edge data analytics, predictive modeling and Machine Learning, and methods for simulations can advance human health in Africa.
- Darrell Hurt, National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH)
- Geetha Senthil, National Institute of Mental Health, NIH
- Abdoulaye Banire Diallo, University of Quebec-Montreal (UQAM)
- Elaine Nsoesie, Boston University
- Geoffrey Siwo, University of Notre Dame
- Dina Machuve, Nelson Mandela African Institution of Science and Technology
- Moustapha Cisse, Google AI
October 7, 9:00 am EDT | 4:00 pm EAT
Maternal and child health outcomes in Africa still lag behind the rest of the world despite prioritization as a topic of focus within the United Nations Sustainable Development Goals (SDGs). Partners from country-level governments, research institutions, private sector program funding agencies and non-governmental organizations are involved in various capacities and across disciplines, implementing activities to reduce the enormous burden of high mortality and morbidity of women and children on the African continent. Nonetheless, millions of women and children experience death and severe morbidity each year despite these efforts. In this session we will 1) address the gap in availability of existing databases and collective data focused on pregnancy and the peripartum period; 2) explore emerging use of linked data such as electronic medical records as a tool for conducting research, analyzing data and creating tools for interventions; and 3) develop concrete recommendations for a strategy to utilize data science to improve maternal and child health outcomes from pre-pregnancy to pregnancy and delivery and throughout the mother and child’s life course.
- Vesna Kutlesic, Ph.D., Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH)
- Naveen Rao, M.D., Senior Vice President & Senior Advisor to the President, Health Initiative, The Rockefeller Foundation
- Diana Bianchi, M.D., Director, NICHD, NIH
- Denise Russo, Ph.D., NICHD, NIH
- Marion koso-Thomas, M.D., MPH, NICHD, NIH
- Andre van der Kouwe, Ph.D., Associate Professor in Radiology, Harvard Medical School, Assistant in Physics, Massachusetts General Hospital
- Lilla Zöllei, Ph.D., Assistant Professor of Radiology, Harvard Medical School
- Moses Alobo, M.D., Program Manager, Grand Challenges Africa Programme at African Academy of Sciences
- Alash’le Abimiku, Ph.D., Professor in Epidemiology & Public Health, University of Maryland School of Medicine; Executive Director, International Research Center of Excellence at the Institute of Human Virology-Nigeria
- Amel Ghouila, Ph.D., Vice President, African Society of Bioinformatics and Computational Biology (ASBCB); Founder, Technovation Tuni
October 14, 9:00 am EDT | 4:00 pm EAT
This webinar will discuss the COVID-19 situation in Africa and will present application examples of Data Science for disease management. A panel of experts will touch on topics such as disease surveillance, generating dashboards with the latest statistics, and mining of text or social media to discover trends. Other topics will be data-interoperability, publication tracking, disease burden and mortality, and the effect of COVID-19 on diseases like HIV and malaria.Video recording coming soon.
- Stefan Jaeger, Ph.D., National Library of Medicine, National Institutes of Health
- Cecile Viboud, Ph.D., Fogarty International Center, National Institutes of Health
- Agnes Kiragga, Ph.D., Head of Statistics and Data Management Unit and Senior Research Scientist, Infectious Diseases Institute (IDI), Makerere University College of Health Sciences
- Nirmal Ravi, M.D., Ph.D., Director for Medical and Scientific Affairs, E-Health Africa, and Chief Innovation Officer, EHA Clinics
- Ali H. Mokdad, Ph.D., Professor of Health Metrics Sciences, the Institute for Health Metrics and Evaluation; Chief Strategy Officer, Population Health at the University of Washington
- Elaine Nsoesie, Ph.D., Assistant Professor of Global Health, Boston University School of Public Health
- Frank Kagoro, M.D., MSc, Research Physician, MORU Tropical Health Network and WorldWide Antimalarial Resistance Network; PhD Candidate, University of Cape Town
October 21, 9:00 am EDT | 4:00 pm EAT
This session will highlight the emerging field of health metrics sciences and its role in measuring and monitoring summary measures of health in Africa to better develop and implement measures to reduce the burden of disease. Identify challenges and opportunities relevant to the DS-I Africa initiatives. Address the increasing role that health metrics is playing in informing and prioritizing systems-level health interventions and broad public health-related decision making. Discuss how health metrics and data science can inform and evaluate more effective integrated care efforts at the intersection of infectious diseases and the rapidly growing burden of chronic, non-communicable diseases. Register to participate in this session.
- George A. Mensah, MD, FACC, Director, Center for Translation Research and Implementation Science, NHLBI, NIH
- Makeda Williams, PhD, MPH, Global Health Program Director, Center for Translation Research and Implementation Science, NHLBI, NIH
- Mayowa Owolabi, MBBS, MSc, DrM, Professor of Neurology and Director, Center for Genomic and Precision Medicine; Dean, Faculty of Clinical Sciences, University of Ibadan
- Laura Dwyer-Lindgren, Ph.D., Assistant Professor, Department of Health Metrics Sciences, School of Medicine, and Institute for Health Metrics, University of Washington
- Ana H Mocumbi, M.D., Ph.D., Senior Researcher and Head, Chronic & Non-Communicable Diseases Division, Ministry of Health, National Health Institute & Eduardo Mondlane University
- Ali H. Mokdad, Ph.D., Professor, Department of Health Metrics Sciences, School of Medicine, Institute for Health Metrics and Evaluation; Chief Strategy Officer, Population Health, University of Washington
This page last reviewed on October 20, 2020