It’s hard to create effective interdisciplinary teams or facilitate useful interdisciplinary exchanges. Research grants are increasingly calling for interdisciplinary collaboration as a requirement for funding. Interdisciplinary endeavors are popping up in academic settings and research foundations. Interdisciplinarity is a necessity for solving complex problems. But executing interdisciplinary collaboration is easier said than done. Data science and data visualization can help, by identifying fruitful common ground between people with different expertise. Software can systematize effective interdisciplinary collaboration.