Related Experiment Video
Updated: Feb 11, 2026

08:16
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
Published on: October 24, 2025
617
Mortality data in the age of drones ‡
1a Institute of Medical and Biomedical Education St George's, University of London , London , UK.
Medicine, Conflict, and Survival
|April 18, 2018
Summary
Collecting mortality data during drone warfare presents significant challenges. Public perception and framing of drone technology complicate accurate data collection for humanitarian responses.
Area of Science:
- Conflict studies
- Humanitarian response
- Data collection methodology
Background:
- Mortality data is crucial for humanitarian, legal, and ethical responses in conflict zones.
- The increasing use of drone warfare introduces novel challenges to data accuracy and reliability.
- Existing methods for mortality data collection may be insufficient in the context of drone conflict.
Purpose of the Study:
- To examine the methodological challenges in collecting mortality data during drone warfare.
- To investigate the political challenges affecting mortality data collection in drone conflict.
- To analyze how public discourse framing of drones impacts data collection.
Main Methods:
- Qualitative analysis of existing literature on conflict mortality data.
- Examination of case studies related to drone warfare and civilian casualties.
- Discourse analysis of media and policy documents concerning drone technology.
Main Results:
- Methodological hurdles include difficulties in verification, access, and attribution of casualties.
- Political challenges involve state secrecy, censorship, and the normalization of remote warfare.
- Public framing of drones as 'surgical' or 'precise' can obscure the reality of civilian harm and impede data collection.
Conclusions:
- The unique nature of drone warfare necessitates new approaches to mortality data collection.
- Addressing methodological and political barriers is essential for accurate humanitarian assessments.
- Critical examination of public discourse is vital to ensure accountability in drone conflict.
Related Concept Videos
Aging
801
Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
801
The Effect of Aging on Tissues
3.6K
Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
3.6K
How Data are Classified: Categorical Data
45.1K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
45.1K
How Data are Classified: Numerical Data
38.4K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
38.4K
Changes in the Appendicular Skeleton with Age
3.6K
The upper and lower limb initially develops as a small bulge called a limb bud, which appears on the lateral side of the early embryo. The upper limb bud appears near the end of the fourth week of development, with the lower limb bud appearing shortly after.
Initially, the limb buds consist of a core of mesenchyme covered by a layer of ectoderm. The ectoderm at the end of the limb bud thickens to form a narrow crest called the apical ectodermal ridge. This ridge stimulates the underlying...
Initially, the limb buds consist of a core of mesenchyme covered by a layer of ectoderm. The ectoderm at the end of the limb bud thickens to form a narrow crest called the apical ectodermal ridge. This ridge stimulates the underlying...
3.6K
Data Reporting and Recording
5.5K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.5K

