Each day, employees, supply chains, marketing efforts, finance teams, and more generate an abundance of data, too. Big data is an extremely large volume of data and datasets that come in diverse forms and from multiple sources. Many organizations have recognized the advantages of collecting as much data as possible. But it’s not enough just to collect and store big data—you also have to put it to use. The envisioned alignment should reflect also on the shift towards algorithmic knowledge production to identify and address eventual mismatches between the Big Data research and the extant research ethics regimes. In parallel, inquiry should be moved away from considering only traditional categories of harm (e.g. physical pain and psychological distress) to cover other types and forms (e.g. effects of the perennial surveillance on human behaviour and dignity and group discrimination). Likewise, the concept of the human subject and related foundational assumptions should be revisited to include not only individuals, but also distributed groupings or classifications. The services enabled by this technology aim to generate value from Big Data and renovate the Public Safety and Personal Security sector, positively influencing the welfare and protection of the general public. Initially, as the Hadoop ecosystem […]