Related Experiment Video
Updated: Aug 20, 2025
09:55
Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
1.7K
"If you got a problem, I got a problem too": working toward making academic science more equitable.
1Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95060.
Molecular Biology of the Cell
|November 18, 2022
Summary
This essay discusses how academic science structures limit full participation, hindering innovation. The author hopes inclusivity awards become obsolete by addressing systemic barriers for scientists and leaders.
Area of Science:
- Scientific community
- Equity in science
- Academic leadership
Background:
- The author received the ASCB Prize for Excellence in Inclusivity.
- Current systems in academic science may limit equitable participation.
- Societal structures can impact who becomes a scientist or leader.
Purpose of the Study:
- To highlight systemic barriers in academic science.
- To advocate for a future where inclusivity awards are unnecessary.
- To explore how limitations on participation affect scientific advancement.
Main Methods:
- This essay is a reflective piece.
- It analyzes the structure of academic science.
- It connects societal structures to scientific participation.
Main Results:
- Academic science and society have structures that limit participation.
- These limitations hinder true innovation and advancement.
- Addressing these structures is key to achieving equity.
Conclusions:
- Awards for inclusivity highlight existing inequities.
- Systemic change is needed to ensure full participation for all scientists.
- Obsoleting such awards requires dismantling barriers to equity.
More Related Videos
Related Concept Videos
01:56Ethics in Research
23.2K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
23.2K
01:22Bias
4.8K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.8K
01:25Strategies for Assessing and Addressing Confounding
141
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
141
01:29Bias in Epidemiological Studies
499
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
499
01:32The Scientific Method
230.0K
The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
230.0K
01:49Hardy-Weinberg Principle
72.7K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
72.7K