“Journalism is a truly special medium; it is where data and narratives intertwine.”
An online journalist categorized mathematical journalism into three categories: data-driven investigations, explanatory pieces, and profiles.
(Foreign Press) - Data-driven investigations are demonstrated often through weather and/or natural journalism. Investigative journalists often traverse expansive datasets to uncover insight, which is necessary for reporting natural topics, such as climate change. This is helpful for tracking damage that previous climate change has caused and making predictions about future has caused and making predictions about future possible climate disasters in order to apply pressure on officials to enact data-based policies.
Explanatory narratives are key in uncovering important facts on nationwide, even worldwide effecting events, like COVID-19, for example. Explanatory pieces unlocked necessary information about the pandemic and its infectivity and reproduction rate.
Profiles are to offer an intimate glimpse into the personal lives of mathematicians, exploring the intertwining of their personal narratives with their research. Generally, mathematical angles can seem elusive, Cepelewicz emphasizes that pretty much any topic can harbor a mathematical facet.
Approaching mathematical stories necessitates a strategic game plan. Although math is not particularity easy, embracing the concepts of math and interpreting various data will overall create room for successful journalistic research and knowledge.
“Math is a very active area of research. that means there are lots of discoveries that are happening that experts find exciting, interesting, and important.” - Cepelewicz
Comments
Post a Comment