What will 2018 bring? No one knows for sure. But as we did for 2017, we asked top scientists and thought leaders in innovation what they expect to see in the new year. Here, lightly edited, are their predictions.
Dr. Sean Carroll is a theoretical physicist at the California Institute of Technology in Pasadena. His most recent book is "The Big Picture: On the Origins of Life, Meaning, and the Universe Itself."
I'm going to go out on a limb and predict that we'll see dramatic advances in understanding the quantum nature of spacetime itself. I won't make any large bets on this possibility, since theoretical research is notoriously gradual and unpredictable. But the ingredients are in place for moving our understanding substantially forward.
Quantum mechanics is the wonderfully successful theory of how the world behaves at the microscopic level, while on large scales space and time are wedded together in Einstein's famous general theory of relativity. Reconciling how both of these ideas can be true at the same time has been a longstanding puzzle for theoretical physicists. Recently, we have been bringing new tools to bear: information theory, the many-worlds interpretation of quantum mechanics, and an improved understanding of black-hole entropy. The time is right to finally figure out the quantum ingredients out of which space and time are made.
Dr. Leroy Chiao is CEO and co-founder of OneOrbit LLC, a Houston-based training and education company. He served as a NASA astronaut from 1990 to 2005 and flew four missions aboard three space shuttles and once co-piloted a Russian Soyuz spacecraft to the International Space Station.
As an astronaut, I am always following developments in space exploration programs, both government and commercial. However, while not directly linked to space, my tech prediction for 2018 is about Bitcoin (BTC) and other cryptocurrencies. I believe that 2018 will see mainstream adoption of BTC in a significant part of the worldwide financial industry. In the coming years, the current 1,300 or so cryptocurrencies will battle it out, with just a few left standing. In the future, BTC or its successor would likely be the currency on the moon and Mars!
Dr. George Church is a professor of genetics at Harvard Medical School in Boston and director of personalgenomes.org. He is the author of "Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves."
The year 2018 will finally see the public embrace million-fold cheaper personal genomes, thanks to better education and awesome software. Leveraging such revolutionary diagnostic costs, therapeutics costs may follow — via radically engineered nutritional supplements, veterinary products, yogurts, citizen science, and preventing wild animals from carrying malaria or Lyme disease.
We'll see machine learning applied to drug delivery and to preventive medicine, thanks to shareable, rich, individual-patient-level precision medicine data sources like OpenHumans.org. 2018 will bring initiatives on multiple projects to make synthetic cells safe from all viruses — achieved via methods far more precise and more efficient than current gene-editing methods. Microscopes will blossom with images of chromosomes at super-resolution as well as wide fields of millions of cells retaining intricate connections among nerve cells. We'll see new data on embryos growing outside of a mouse body and human gene collections which enable forming in the lab any of our body organ systems. Among other things, this will enable new synthetic nerve cells for brain-computer-interfaces, gentle alternatives to invasive electrodes.
Esther Dyson, a veteran tech and healthcare angel investor, is executive founder of Way to Wellville, a 10-year project to demonstrate the value of investing in health vs. spending on healthcare. It operates in five small communities around the U.S. and is working with local organizations to enhance their capacity to train and deploy local people in caregiving and health-fostering programs.
In 2018, even as the country’s healthcare system is undergoing great turmoil, we may start looking more closely and use big data to understand what’s really going on. We will learn how to reduce costs — not just the costs of healthcare and drugs, but also of unemployment/low productivity and absenteeism, along with the social costs of poor health, addiction, depression, crime and drug overdoses.
Traditionally, we’ve used clinical trials in healthcare, but they really don’t work well with population health and social changes, with too many variables to control. Now, with big data, and more data available through everything from health records and fitness apps to public data such as high school graduation rates and population demographics, we are increasingly able to compare what happens with what would have happened without a particular intervention. These interventions include prenatal care, with measurable improvements in birth outcomes and reductions in NICU (neonatal intensive care unit) costs, diabetes-prevention programs now being offered by the YMCA and many other organizations, and mental health/addiction counseling programs (which remain in extremely short supply).
Progress in healthcare is notoriously slow, so actual practice won’t change that rapidly. But with luck, some communities will lead by example, and policy-makers will take note.
Dr. Oren Etzioni is CEO of the Allen Institute for Artificial Intelligence and a professor of computer science at the University of Washington, both in Seattle.
In 2018, artificial intelligence will cross over from razor-thin, narrow AI — the kind of bespoke AI that beats people at Go and Poker, and other narrowly delimited tasks but must be reconfigured manually for each new challenge — to broader, multipurpose AI systems that can tackle several challenges using the same software.
Get the mach newsletter.
For example, we will see a single AI that, once trained, can play multiple very different games, answer questions on topics ranging from politics to science to cooking to everyday life, and more. General AI is still decades away, but razor-thin AI is so very 2017.
Dr. Jacqueline Faherty is an astrophysicist at the American Museum of Natural History in New York City. She is co-founder of the citizen science project Backyard Worlds, which invites anyone to help uncover undiscovered worlds in the galaxy.
2018 will be the year of the Milky Way Galaxy. In April, the European Space Agency's Gaia Mission, among the most ambitious in modern times, will release its second catalog. It will include distances to over a billion stars and velocities for several million. Scientists have waited decades for this 10,000-fold increase in the number of stars calculated with unprecedented positional accuracy.
Based on this new data, we will be able to generate an exquisitely detailed 3D map of our home galaxy. We will uncover previously hidden structures of stars and traces of recent and long-past star formation. Exotic objects like hypervelocity stars will be revealed; we will be able to trace back and project forward the positions of stars in the nearby solar neighborhood and identify past or future stellar encounters. We will see immediate results after April and get revolutionary insights into how our galaxy formed and evolved.
Dr. Katherine Freese is a professor of physics at the University of Michigan in Ann Arbor and a noted expert on dark matter. She is the author of "The Cosmic Cocktail: Three Parts Dark Matter."
Last October, an amazing neutron star merger event was discovered via gravitational waves from the Laser Interferometer Gravitational-Wave Observatory (LIGO), and 1.7 seconds later in 70 different detectors in all different wavelengths of light. That means gravity travels at a speed very close to that of light. Combining all this information has already been used to rule out many models of gravity beyond Einstein’s relativity. As more events are discovered, we will learn more about relativity, and about the numbers of neutron stars and black holes of different masses. The black holes already discovered, up to 30 times the mass of the sun, are a surprise, and we will learn what other masses are out there.
Events in 2018 will also teach us about what astronomers call H0, the expansion rate of the universe. Right now there is an interesting discrepancy between the value of H0 measured by cosmic microwave background experiments (the early left-over light from the Big Bang) and the value measured from more recent supernovas (exploding stars). The combination of more black hole and neutron star events measured by both LIGO and electromagnetic detectors stands to resolve this issue. Is the discrepancy real? If so, what is the new physics it heralds?
Dr. Lawrence Krauss is a professor of earth and space exploration and director of the Origins Project at Arizona State University in Tempe. He is the author of nine books, including "A Universe from Nothing," "The Physics of Star Trek", and "The Greatest Story Ever Told."
Either the Large Hadron Collider or LIGO will observe events which are inconsistent with our current understanding of the standard model of physics and/or black hole physics. This is more a hope than a prediction, because we really need new empirical input if we are to move our ideas about fundamental physics beyond the purely speculative stage.
Nature needs to tell us the right direction to move in, and these two forefront experiments are the best bets we have, in my opinion. Experiments measuring dark energy are unlikely to reveal anything beyond what we know, and I don’t think the next generation of dark matter experiments will be online in time to report any discoveries next year.
Dr. Ainissa Ramirez is a scientist and science communicator, now writing a book on how technology transforms us. She speaks worldwide about science and education and hosts the podcast "Science Underground."
The year 2018 is the 200th anniversary of Mary Shelley’s "Frankenstein," in which a scientist neglects to ask about the consequences of his creation. I suspect (and hope) that there will be much debate on the impact of technology on our lives in the numerous lectures and events scheduled this year. It is a long-overdue discussion because scientists sometimes get so excited about their innovations that they forget to ask, “Am I building a monster?”
This anniversary offers a pause to see if society likes where it is headed. With recent headlines such as a former Facebook leader expressing remorse for his invention, the anniversary of "Frankenstein" provides an opportunity to better understand the impact of our creations.
Dr. J. Marshall Shepherd is the Georgia Athletic Association Distinguished Professor at the University of Georgia in Athens and director of the university's atmospheric science program. He served as the 2013 president of the American Meteorological Society.
Weather forecasting is often perceived as guesswork by the public. There is not a meteorologist alive who has avoided jokes about the accuracy of forecasts. But these are misperceptions. The current era of weather forecasts, as witnessed during the society-altering 2017 hurricane season, is quite extraordinary because of rapid advances in meteorological knowledge, satellites, radar systems, and computer models. We now have technology in place to provide significant lead time for landfalling hurricanes, potentially tornadic storms, and multi-day flood events.
In 2018, I foresee significant strides in the "other" side of the forecast and warning paradigm — the social science of meteorology. The weather community has become cognizant of confusion caused by hurricane cones, tornado warning "polygons," and "watch-advisory-warning" terminology. Emerging research is exploring how the public consumes, interprets, and acts upon weather messaging, warning colors, and risk factors. I predict that the type of language and symbols used to convey weather warnings will be streamlined and intelligently designed based on factors ranging from psychological theory to cultural norms.
Dr. Seth Shostak is the senior astronomer at the SETI Institute in Mountain View, California, and director of the institute’s Center for SETI Research. He is the author of "Confessions of an Alien Hunter: A Scientist’s Search for Extraterrestrial Intelligence."
“My very educated mother just served us nine pizzas” was the clunky mnemonic used by generations of school kids to remember the nine planets of the solar system. Alas, in 2006, the pizzas were trashed by the International Astronomical Union, which stripped Pluto of its planet status. In the following decade, the sun’s family suffered another indignity when we learned that the most common types of planet in the cosmos are the so-called super-Earths, bulked-up rocky worlds about twice the diameter of our own. Lamentably, our solar system doesn’t have one.
In 2018, remedies for both these affronts may be in the offing. It’s possible that a replacement for Pluto will be found — not literally a world to take its place, but one that can legitimately be called the ninth planet. Caltech astronomers Mike Brown and Konstantin Batygin have accumulated indirect evidence for an object that’s more than twice the diameter of Earth, but 10 times as far from the sun as Pluto. The hunt is on to find it, and the news will be big if astronomers succeed in bagging this prey. It will add a super-Earth to our solar system — one we can both study and possibly visit — and will give school kids a coveted ninth planet to love. Whatever name is chosen should begin with a “P.”
Dr. Eric Topol is a professor of molecular medicine at The Scripps Research Institute and founder and director of the Scripps Translational Science Institute, both in La Jolla, California. He's the author of "The Patient Will See You Now: The Future of Medicine is in Your Hands."
There are two parallel, powerful technology movements that will ultimately prove to be transformative in medicine: CRISPR genome editing and deep learning artificial intelligence. In late 2017 we saw the first patient receive genome-editing treatment for a rare disease; in 2018, more than 10 different medical conditions are moving forward in clinical trials, including rare eye diseases, hemophilia, and sickle cell anemia. Genome editing has the potential to cure many diseases for which effective treatments have never been available.
Likewise, deep learning, a subtype of artificial intelligence, is starting to show major potential in medicine. The algorithms have been demonstrated to interpret medical scans, skin lesions, heart rhythm abnormalities, and pathology slides as well as or better than specialist doctors. Deep learning will start to take hold in the clinic, first in ways to improve diagnostic accuracy and efficiency of doctors’ workflow, and ultimately for consumers as a virtual medical coach.
Dr. Sherry Turkle is the Abby Rockefeller Mauzé Professor of the Social Studies of Science and Technology at MIT in Cambridge, Massachusetts, and founder and current director of the MIT Initiative on Technology and Self. Her most recent book is "Reclaiming Conversation: The Power of Talk in a Digital Age."
Robots have always seemed like the cavalry that’s called in to do the jobs that put the human body in danger. But we have long had the fantasy that they would do more: that they would be our caring companions. And now our dream comes true. My prediction: In 2018, sociable robots will be able to convince us that they are able to be empathic by passing an emotional version of the Turing Test, a behavioral test we have taken as a measure of machine intelligence. In the Turing test, a machine seems to “think” like a person. But simulated thinking (say, for the purposes of playing chess) may be thinking, but simulated feelings are not feelings, and simulated love is never love. Our “success” in making robots that pretend empathy involves deception with significant consequence.
Time Magazine’s “invention of the year” was awarded to Jibo, a sociable robot that responds to “Hey, Jibo,” and aspires to be a family friend. With our fantasy-turned-reality comes the problem that we become attached to robots in essentially inauthentic relationships because no matter what they “say,” they have no fondness or compassion to give. And we do get attached. We are vulnerable. Roboticists have learned that nurturance is the killer app. When we teach or care for a robot, we imagine that the robot cares for us in return. When we offer sociable toys and digital pets to our children, we embark on an experiment in which our children are the human subjects.
Will we be honest enough to confront the emotional downside of living out our robot dreams?
Dr. Moshe Y. Vardi is the George Distinguished Service Professor in Computational Engineering and director of the Ken Kennedy Institute for Information Technology at Rice University in Houston. He is the author or co-author of more than 500 papers, as well as two books.
In 2017, there was a sudden recognition of several adverse societal consequences of information technology, from job losses due to automation to manipulation of public opinion, with significant political consequences. This recognition has been accompanied by a dramatic drop in the public view of Silicon Valley, long considered a hub of innovation and economic growth. This view is expressed, for example, by Wall Street Journal columnist Peggy Noonan, who referred to tech's CEO's as "our country's real overlords" and described them as "moral Martians who operate on some weird new postmodern ethical wavelength."
I expect this to become a major point of discussion in 2018, both inside the technology community, struggling to cope with its social responsibility, and at various levels of government, opening a discourse about the possible regulation of technology. We will hear more regrets from founders of tech companies about the addictive technologies they have launched. We will start a discussion of cryptocurrencies as a shadow banking system, which should be curtailed or tightly regulated.
Dr. Wendell Wallach is a senior advisor to The Hastings Center and chair of technology studies at Yale University's Interdisciplinary Center for Bioethics in New Haven, Connecticut. His most recent book is "A Dangerous Master: How To Keep Technology from Slipping Beyond Our Control."
A serious tragedy will direct the attention of international leaders, under public pressure, to finally take on the difficult but incredibly necessary task of putting in place effective oversight and governance of emerging technologies. The tragedy may be the result of a broadly deployed cyberweapon that brings down critical infrastructure like a power grid, or a database hack that exposes sensitive user data. A terrorist or crazy kid may arm a drone with poison, killing innocent people. The proposed treaty to limit the development of lethal autonomous weapons will suddenly become more likely, as will stringent controls on the handling of sensitive user data by social media and other companies. Industry leaders, fearful of more stringent restrictions on their activities, will lead the way for thoughtful oversight of digital technologies.
I may be wrong — nevertheless, reaping the benefits of innovation and managing risks must happen together.