Informing the health of people, places, and planet to drive economic growth.
It is the end of business-as-usual, and the beginning of our most critical decade.
Pioneering methods of computational journalism combined with expert networks cut through a cacophony of conflicting data.
Prescient information gives leaders sightlines into a tumultuous future, helping them build organizations that are responsible for change.
A new perspective of impact where gains are enabled by the health of people, places, and planet, and measured by its capacity for comprehensive, sustainable growth.
We are computational journalists, economists, mathematicians, engineers and data scientists obsessed with the health of people, places and planet as drivers of growth.
Co-founder and CEO
Francesco Marconi is a computational journalist and economist. He was previously R&D Chief at The Wall Street Journal and AI co-lead at the Associated Press. He was an adjunct instructor at Columbia Journalism School and a research associate at the Lab Social Machines at MIT Media Lab. His latest book "Newsmakers: Artificial Intelligence and the Future of Journalism” was published by Columbia University Press in January 2020. Francesco started his career as an economist at the Group of 77 at the United Nations.
Erin Riglin is an engineer and computational journalist. He served as the Wall Street Journal's first Automation Editor where he built machine learning-driven tools to support research and investigative journalism. Prior to that, he worked at Microsoft on data automation and cloud computing projects. Erin holds a Bachelor's degree in computer engineering from California Polytechnic University, Pomona, and Master's degrees in journalism and computer science from Columbia University.
Co-founder and Chairman
Scott is an entrepreneur and storyteller working across disciplines that leverage technology and design to grow impactful companies focused on public health. Scott is the co-founder of New Lab, director of the film Red Knot and FIPRESCI Grand Jury Prize Winner.
A transparent approach to reliable data
We apply computational journalism to the health of systems because stories are the most powerful tool for inspiring action and drive sustainable change. We believe in holding data to a higher standard, representing information with focus and clarity, while finding the narrative with human context.
Applied XL's mission is to democratize information. We build reliable information system powered by editorial algorithms that combine the precision of data science with the high standards of journalism.