Tactile Trivia: A Innovative Activity to Engage People with the Sciences

Our team hosted a science-themed Jenga activity at the Atlanta Science Festival After-Party. The game served as an engaging activity to teach festival-goers about contemporary topics in astrobiology, astronomy, and other space-related science topics. Our team started by brainstorming different activities that could be used to engage people with scientific concepts. In the end, we decided that combining Jenga and Trivia would be an effective way to engage participants while retaining the space-theme of the Atlanta Science Festival. We drew on our class and research-related experiences to come up with fun trivia questions. One of my questions referenced phenolphthalein — the type of indicator used in my final titration for one of my lab classes — among other fun scientific tools and concepts. 

First, a Jenga set was obtained from one of our members and the blocks were divided into three categories: “Dark Matter” (Chemistry and Astronomy), “Physics and Math”, and “Astrobiology”. Blocks corresponding to each category were painted a unique color (black, blue, and gold/silver respectively). Execution of the game itself involved first setting up the Jenga tower while ensuring that each layer contained a mix of blocks from multiple categories. Once setup was complete, players then took turns selecting a category of question to answer. If their answer was correct, it would be the next player’s turn. If their answer was incorrect, they would have to pull out a block of the color corresponding to their chosen trivia category. In typical Jenga fashion, the first player to knock over the tower was considered to have lost the game. 

In this way, the unique mechanics of Jenga were utilized in a manner complimentary to the trivia format. If a player didn’t answer a question correctly, their penalty was to remove a block from the Jenga tower which matched the color of the category they had selected. This increased engagement with the game by adding another avenue of strategy for players; they would need to select what category of question to answer based not only on their personal knowledge base, but also based on which color block would be easiest to remove if they got the question wrong. This mechanic encouraged players to ‘switch up’ which category of questions they selected as they were incentivized to pick colors whose removal wouldn’t impact the structural integrity of the Jenga tower. 

We also had to be mindful of the difficulty of the Trivia Questions we chose to ask participants. It took several rounds of revisions to get to our final question bank. In the end, it was key to make sure the difficulty of questions was appropriately balanced to our target audience. After all, our party attendees could be expected to have an above-average exposure to science, however questions would need to be easy enough that they could reasonably be answered by someone outside of that scientific specialty. I think we hit the right balance in the end, as partygoers were challenged by most questions, but were able to get enough right that they felt motivated to continue playing. 

Overall, our activity seemed extremely effective when it came to engaging participants with scientific concepts. Afterwards, one participant made a comment that they felt “like [they] learned a lot” by participating in the game. Some expansions/improvements to consider making in future could include a larger question bank to help avoid repeats, or an automated system that would select questions for participants so that the game-master doesn’t have to keep track of which questions have already been asked. I look forward to expanding upon this activity in future science-outreach related events. 

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  Timothy Durham was convicted of rape when a test showed his DNA genotype matched the DNA recovered from the crime scene. Eye witnesses testified that Durham was in a different state at the time of the incident, but he wasn’t exonerated from his 3000 year sentence until follow up DNA analysis showed that the preliminary forensic analysis used in the trial was misinterpreted (Thomas et al.). DNA testing serves an invaluable part in our criminal justice system, but it comes with complications and bias that can lead to wrongful convictions and misinformed juries.  

Background:

Forensic genetics aims to identify the origin of a biological sample. It can be traced back to Karl Landsteiner who discovered human ABO blood groups. With blood groups, suspects could be eliminated based on their blood type. For example, if a suspect had type A blood and there was type B blood left at the scene by the perpetrator, the investigators could rule out the suspect. Unfortunately, the reverse didn’t work. If the suspect and perpetrator both had the same blood type, it can’t be concluded that the suspect was guilty. Blood identifiers evolved into 8 distinct categories which improved the ability to eliminate suspects, but could only conclude that (if the system matched) it might be the perpetrator or this person might be related to the perpetrator (Jobling and Gill). The field evolved in the 1980s with the discovery of Minisatellites, lines of repetitive DNA that don’t encode proteins. Minisatellite patterns in DNA create what we know today as the DNA fingerprint, and it has a much higher accuracy rate than previous methods (Augustyn et al.). Around the same time, a breakthrough for victims of sexual assault was discovered. In the case of assault, bodily fluids of both the victim and the assaulter can get mixed. A process called differential lysis was created which could selectively increase the concentration of sperm in a fluid sample thereby allowing for accurate DNA testing (Jobling and Gill). Forensics evolved to use single-locus probe testing after several years because of its ease of interpretation. It looked at specific minisatellites that had high variability between subjects. This was the first DNA-based method to be used in a criminal investigation. Two murder homicides from several years apart were connected using DNA evidence. The evidence was then used to exonerate an innocent man, and the guilty party was found when he tried to evade mandatory DNA testing for all men in the small town. His guilt was then reinforced when the DNA profiles matched, and he gave a confession (Jobling and Gill). Finding DNA at a crime scene doesn’t guarantee that you’ll find a murderer. There are issues with non-pure samples and limited samples that make DNA work difficult, and accreditation of facilities and new techniques and take time (Jobling and Gill).  

Subjectivity of DNA Interpretation:

In a 2009 publication, the National Academy of Science discusses the possibility for subjective influence in lab based forensics. The interpretation bias happens in complex cases where, for example, there could be a mixture of DNA. A study published in 2011 looked specifically at this issue. A gang rape happened in Georgia, and the mixture in DNA from the case was used to prosecute one suspect after another suspect took a plea bargain to testify against him. With DNA mixtures, there are three possible conclusions: suspect excluded, suspect cannot be excluded, and inconclusive. If the suspect is excluded, it means that there’s little to no possibility that his DNA is part of the sample. If the suspect cannot be excluded, it means that there’s a possibility that his DNA is part of the sample. In the trial, the DNA examiners who knew the context of the case concluded that the suspect being prosecuted could not be excluded. The 2011 study gave the DNA evidence from this case and the DNA profiles of the suspects to 17 forensic examiners. These examiners had no context of the case, and they all worked independently. Of the 17, only 1 came to the same conclusion (suspect cannot be excluded) as the examiners who knew the context of the case. Twelve of the 17 concluded that the suspect who was prosecuted and convicted had no relation to the DNA found in the sample. Not only does this show that subjectivity occurs due to the context of the case, but the 17 examiners came up with different findings based on their past experiences meaning that not all DNA analysis is objective. Some organizations like the Scientific Working Group on DNA Analysis Methods say that quantitative statistical evidence should be presented with every categorical conclusion, but the US doesn’t require this (Dror and Hampikian).

False Positives:

There are two categories that cause wrongful identification in a DNA report: coincidental matches and false positives. Coincidental matches are DNA matches between two unrelated people. The probability of these matches is about 1 to 500,000 for white individuals and about 1 to 350,000 for black individuals. This small probability of coincidental matches makes people feel confident in DNA evidence. False positives, on the other hand, are matches between DNA and test DNA that result from issues in the forensics lab. There have been multiple cases of forensics labs accidentally switching victim and suspected rapist DNA which lead to convictions that were later overturned when the lab realized the error. There are also cases of misreading or misunderstanding a sample. In a case from 1993, a man was convicted of rape because someone interpreted a mixed sample of victim and perpetrator DNA as an individual sample. The conviction was again overturned. To prevent false convictions, retesting DNA is allowed, but it’s not an efficient solution. Many people are pushing for statistical information on the probability of false positives, so that the jurors can make accurate judgements based on DNA evidence (Thomas et al.).  

Conclusion:

DNA analysis is a useful tool for the criminal justice system, but subjectivity can be an issue in forensic testing. To combat wrongful convictions, there are organizations like The Innocence Project who use DNA testing to free the innocent, but reformed forensic testing standards should be put in place to prevent subjectivity and to ensure juries are correctly informed during trials. https://www.innocenceproject.org/    

Citation:

Augustyn , Adam, et al. “DNA Finerprinting.” Encyclopedia Britannica , 26 Apr. 2018, www.britannica.com/science/DNA-fingerprinting#ref153186. Dror, Itiel E., and Greg Hampikian. “Subjectivity and Bias in Forensic DNA Mixture Interpretation.” Science & Justice, vol. 51, no. 4, 2011, pp. 204–208., doi:10.1016/j.scijus.2011.08.004. Jobling, Mark A., and Peter Gill. “Encoded Evidence: DNA in Forensic Analysis.” Nature Reviews: Genetics, vol. 5, no. 10, Oct. 2004, pp. 739–751., doi:10.1038/nrg1455. Thompson, William C, et al. “How the Probability of a False Positive Affects the Value of DNA Evidence.” Journal of Forensic Sciences, vol. 48, no. 1, Jan. 2003, pp. 1–8., doi:10.1520/jfs2001171.