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is an infectious disease epidemiologist whose research focuses on the use of mathematical and computational models of disease transmission, particularly the transmission of antimicrobial resistant infections within and outside healthcare settings, as well as emerging infectious diseases. His work often focuses on producing policy-relevant results, working hand-in-hand with clinicians and policy makers to produce reproducible, quantitative guidance for designing and evaluating public health interventions.

He tells us about his research into the Corrupted Blood Incident, the first virtual plague, how online data can yield useful research data about real life under the right conditions.

Michelle Meyer is an Assistant Professor at , where she co-directs an that investigates judgments and decision-making related to research, innovation, and healthcare. She is also Associate Director for Research Ethics at Geisinger, chairs Geisinger's IRB Leadership Committee, directs its Research Ethics Advice and Consulting Service, and serves on its AI Governance Committee..听 Her writing has appeared in leading journals of bioethics (American Journal of Bioethics, HastingsCenter Report, Kennedy Institute of Ethics Journal), law (Harvard Law Review, Administrative Law Review), and science (Nature, PNAS), as well as in popular media outlets (New York Times, Slate, Wired, Los Angeles Times, and Forbes.com). She has served on numerous boards and commissions, including National Academies study committees and working groups, an American Psychological Association blue ribbon commission, the editorial board of Advances in Methods and Practices in Psychological Science, the Board of Directors of Open Humans Foundation (formerly PersonalGenomes.org), and the Ethics and Compliance Advisory Board of PatientsLikeMe.听

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She talks to us about the 2014 Facebook Emotional Contagion Study, and why the public backlash against the experiment, and adversion to testing in general, could have lasting, harming on billions of people.

is an Associate Professor in the Khoury College of Computer Sciences at Northeastern University. He is a founding member of the Cybersecurity and Privacy Institute at Northeastern, and serves as director of the BS in Cybersecurity program. Professor Wilson's research focuses on online security and privacy, with a specific interest in algorithmic auditing. Algorithmic auditing is an emerging, interdisciplinary area that uses experimental techniques to measure the black-box algorithmic systems that pervade daily life in order to increase transparency and accountability of these systems. His work is supported by the U.S. National Science Foundation, a Sloan Fellowship, the Mozilla Foundation, the Knight Foundation, the Russell Sage Foundation, the Democracy Fund, the Data Transparency Lab, the European Commission, Google, and Verisign Labs.

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He tells us about his research into AB testing online, how some companies don鈥檛 even realise that they are undertaking human experimentation, and reveals some of the ways that testing is dividing people online, with potentially harmful results.