As the world of social science is increasingly reaching beyond the traditional college campus setting for their studies, new ethical questions are emerging. Sure, large amounts of data can be gathered in massive scale field experiments but are we neglecting the principles of informed consent? How should science and society work together to break new ground while pushing innovative thought forward? Explore these questions and more in this program.
“All the best models are the ones that you can improve in complexity to get closer and closer to the reality.”
The idea of a brain in a dish may sound like science fiction to some but scientists are becoming more and more adept at creating cortical organoids in the lab. The organoids are models of what is happening in utero as the brain forms. Being able to study this kind of human development not only opens new insights into neurological conditions but raises ethical questions.
Alysson Muotri, director of the UC San Diego Stem Cell Program, gives a look at how his lab is using these organoids to model specific conditions, treat disease, and explore fundamental brain mechanisms. Learn what the limitations, future projections, and ethical concerns are surrounding this exciting science.
We use recommender system all the time. A website will recommend something to you based on what you’ve watched, listened to, bought or who you’ve friended on Facebook. These systems attempt to predict your preferences based on past interactions.
The systems range from simple statistical approaches like Amazon’s people who bought X also bought Y links, to complex Artificial Intelligence-based approaches that drive feed ranking on sites like Facebook.
Julian McAuley, UC San Diego Computer Science and Engineering, explores the modeling techniques behind personalized recommendation technology on the web and the different systems that we encounter.
He reminds us that we often find these recommendations a bit “creepy,” but that actually the recommender system has no human intelligence; it’s really a simple statistical process. They focus on short-term predictions but could they be adapted to make long-term predictions or estimate more subjective qualities? Would that be bad?
Our life-spans are ever-increasing, but our health-spans are not, leading to long periods of unpleasant and expensive suffering with chronic conditions. Many of these conditions have recently been linked to the microbiome. We are constantly shaping our microbiomes through the foods we eat, the environments we experience, even the people we live and work with.
Through the American Gut Project, the largest crowdsourced and crowdfunded citizen-science project yet conducted, we now know about the microbiomes of many types of people, from the healthiest to the sickest. Potentially real-time analysis of our microbiomes could guide our daily decisions in a way that optimizes our microbiomes for extending our health-span. Although the potential benefits of such research are clear, what are the risks (e.g., privacy concerns) that need to be identified and addressed?
Rob Knight is Professor of Pediatrics, Bioengineering and Computer Science & Engineering and is Director of the Center for Microbiome Innovation at UC San Diego. He authored “Follow Your Gut: The Enormous Impact of Tiny Microbes” and co-authored “Dirt is Good: The Advantage of Germs for Your Child’s Developing Immune System.” His work combines microbiology, DNA sequencing, ecology and computer science to understand the vast numbers of microbes that inhabit our bodies and our planet. He was recently honored with the 2017 Massry Prize for his microbiome research.