We are proud to present our newest educational project: The ACIT Science Podcast!
This podcast is to provide a glimpse into the life of young researchers and professionals: to learn about the ideas they are passionate about, to find out what gets them out of bed every day to face the challenges and frustrations of working at the frontier to the unknown, and to share in some of the most important lessons they have learned in the first years of their career.
In this episode, we are joined by Ella Crane and Alexander Schuckert, two young researchers who are currently pursuing their PhDs in the fields of quantum computing and quantum simulation.
We get into the basics of quantum computing, the differences between quantum computers, quantum simulators, and classical computers, the potentially most useful applications of quantum simulators such as high-temperature superconductors and quantum chemistry, open-source packages such as IBMs Qiskit, the interaction between industry and universities, the pursuit of what is most interesting vs. the pursuit of what is most useful, and the most fascinating open questions that science has to offer.
For our second episode, we are joined by Cambridge-based biochemistry Ph.D. candidate Niklas Freund. We talk about the nuts and bolts of the genetic machinery at the heart of all living systems, about different layers of conceptualizing DNA, from the chemical to the biochemical to the biological, learn about the field of synthetic biology and the attempts to construct DNA with novel chemical ingredients like Xeno nucleic acids, and hear how researchers like Niklas are trying to teach polymerase to work for them based on fascinating, Nobel-prize winning lab techniques like directed evolution.
We address the current COVID crisis, what role PCR tests play in it, how genetics could shape medicine of the future, and what there is to fear and look forward to. We close by talking about what makes science so great and what makes it so difficult, the passion and emotion that young scientists should bring to the game, and what important lessons can be learned along the way.
In this episode, we are joined by Beatrice Ellerhoff, a Ph.D. student in climate physics at the Institute for Environmental Physics in Heidelberg.
We talk about her work in analyzing long term climate variations going thousands of years back, the different time scales involved in the climate, and why it is so important to understand them in order to predict future variance of the climate.
We talk about Beatrice’s book “Mit Quanten rechnen” about quantum computing that she recently released in collaboration with Springer, and her work with the science communication platform “Many-Body Physics“.
We chat about why changing fields can be helpful and fun, how theoretical methods from completely different fields can resurface in current research, how jazz music relates to science (and also does not), and what the most interesting scientific question currently being is.
In this episode, we are talking to Ph.D. candidate Travis Greene from the Institute of Service Science in Taipei, Taiwan, about the philosophical, ethical, and judicial implications of modern data science, machine learning algorithms, and recommender systems.
We talk about the ethical responsibilities of individual data scientists, a wider perspective on the role of behavioral big data in our societies, and the moral dilemma associated with building potentially harmful algorithms.
We discuss the difference between American and European approaches to data privacy and protection, the GDPR, the recent court rulings around Privacy Shield by the European Court of Justice, how we could shape online rights around ideas of building our own narrative online, how recommender systems of the future should take ideas around human well-being and flourishing into account, and how they are related to religions in giving us closure in complex information environments.
We end the conversation by talking about how scientific work prospers from personal contact, conferences, and collaborations.