Summary: A new deep learning algorithm identified key features underlying success in the art world. Researchers report a link between exploration and exploitation was associated with artistic success.
Source: Northwestern University
Before developing his famed “drip technique,” abstract artist Jackson Pollock dabbled in drawing, print making and surrealist paintings of humans, animals and nature.
According to a new study from Kellogg School of Management at Northwestern University,this period of exploration followed by exploitation of his new drip technique set up Pollock for a “hot streak,” or a burst of high-impact works clustered together in close succession. In Pollock’s case, this was a three-year period from 1947 to 1950, during which he created all his drippy, splattered masterpieces that he is still famous for today.
By using artificial intelligence to mine big data related to artists, film directors and scientists, the Northwestern researchers discovered this pattern is not uncommon but, instead, a magical formula.
Hot streaks, they found, directly result from years of exploration (studying diverse styles or topics) immediately followed by years of exploitation (focusing on a narrow area to develop deep expertise).
The research will be published on Sept. 13 in the journal Nature Communications.
With this new understanding about what triggers a hot streak, institutions can intentionally create environments that support and facilitate hot streaks in order to help their members thrive.
“Neither exploration nor exploitation alone in isolation is associated with a hot streak. It’s the sequence of them together,” said Dashun Wang, who led the study.
“Although exploration is considered a risk because it might not lead anywhere, it increases the likelihood of stumbling upon a great idea. By contrast, exploitation is typically viewed as a conservative strategy. If you exploit the same type of work over and over for a long period of time, it might stifle creativity. But, interestingly, exploration followed by exploitation appears to show consistent associations with the onset of hot streaks.”
Wang is a professor of management and organizations Kellogg School and of industrial engineering and management sciences in Northwestern’s McCormick School of Engineering. He also is director of the Center for Science of Science Innovationand a core member of the Northwestern Institute for Complex Systems.
Inspired by Van Gogh
In 2018, Wang and his colleagues published a paper in Nature, characterizing hot streaks in artistic, cultural and scientific careers. After establishing that these hot streaks do occur, Wang was motivated to discover what triggers them. He found a clue while visiting the Van Gogh Museum in Amsterdam.
Van Gogh experienced an artistic breakthrough from 1888-1890, during which he painted his most famous works, including The Starry Night, Sunflowers and Bedroom in Arles. Before that, however, his work was less impressionistic and more realistic. He also tended to use somber earth tones rather than the bright, sweeping colors, for which he is best known today.
“If you look at his production before 1888, it was all over the place,” Wang said. “It was full of still-life paintings, pencil drawings and portraits that are much different in character from the work he created during his hot streak.”
Mining data from artists, scientists, filmmakers
In the new study, Wang’s team developed computational methods using deep-learning algorithms and network science and then applied these methods to large-scale datasets tracing the career outputs of artists, film directors and scientists.
For artists, Wang’s team used algorithms for image recognition to mine data from 800,000 visual arts images collected from museums and galleries, which cover the career histories of 2,128 artists, including Pollock and Van Gogh. For film directors, the team collected data sets from the Internet Movie Database (IMDb), which included 79,000 films by 4,337 directors. For scientists, the team analyzed the career histories of 20,040 scientists by combining publication and citation datasets from the Web of Science and Google Scholar.
Wang and his collaborators quantified a hot streak within each career based on the impact of works produced, measured by auction price, IMDB ratings and academic paper citations. Then, they correlated the timing of hot streaks with the creative trajectories of each individual. Looking at careers four years before and after the hot streak, the researchers examined how each individual’s work changed around the beginning of a hot streak.
Combination of creative experimentation, implementation is ‘powerful’
The team found that when an episode of exploration was not followed by exploitation, the chance for a hot streak was significantly reduced. Similarly, exploitation alone — that was not preceded by exploration — also did not guarantee a hot streak. But when exploration was closely followed by exploitation, the researchers noted the probability of a hot streak consistently and significantly increased.
“We were able to identify among the first regularities underlying the onset of hot streaks, which appears universal across diverse creative domains,” Wang said. “Our findings suggest that creative strategies that balance experimentation with implementation may be especially powerful.”
“This knowledge can help individuals and organizations understand the different types of activities to engage in — such as exploring new domains or exploiting existing knowledge and competencies — and the optimal sequence to use in order to achieve the most significant impact,” added study co-author Jillian Chown, an assistant professor of management and organizations at Kellogg School.
On average, a hot streak lasts about five years. After that, the researchers found, individuals return to “normal” and no longer follow any pattern of exploration or exploitation.
Funding: The study, “Understanding the onset of hot streaks across artistic, cultural and scientific careers,” was supported by the Air Force Office of Scientific Research (award numbers FA9550-15-1-0162, FA9550-17-1-0089 and FA9550-19-1-0354).
Understanding the onset of hot streaks across artistic, cultural, and scientific careers
Across a range of creative domains, individual careers are characterized by hot streaks, which are bursts of high-impact works clustered together in close succession. Yet it remains unclear if there are any regularities underlying the beginning of hot streaks.
Here, we analyze career histories of artists, film directors, and scientists, and develop deep learning and network science methods to build high-dimensional representations of their creative outputs.
We find that across all three domains, individuals tend to explore diverse styles or topics before their hot streak, but become notably more focused after the hot streak begins.
Crucially, hot streaks appear to be associated with neither exploration nor exploitation behavior in isolation, but a particular sequence of exploration followed by exploitation, where the transition from exploration to exploitation closely traces the onset of a hot streak.
Overall, these results may have implications for identifying and nurturing talents across a wide range of creative domains.