#forensic-science — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #forensic-science, aggregated by home.social.
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Our latest research (led by Sadie Barlow, with Dr Edoardo Manino) found LambdaG doesn’t need a calibration dataset for well-calibrated likelihood ratios, just a simple correction! This simplifies analysis and makes it the only authorship verification method without calibration. Paper on arXiv now.
http://andreanini.com/2026/07/13/lambdag-a-simplified-approach-to-authorship-verification/
#forensiclinguistics #forensicscience #nlp #authorshipanalysis #stylometry #digitalhumanities
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Modern forensic analysis leads to arrest in Georgia 1985 murder cold case https://www.theguardian.com/us-news/2026/jul/08/modern-forensic-evidence-1985-georgia-murder #UsCrime #UsNews #Ohio #Georgia #ForensicScience #Science
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Modern forensic analysis leads to arrest in Georgia 1985 murder cold case https://www.theguardian.com/us-news/2026/jul/08/modern-forensic-evidence-1985-georgia-murder #UsCrime #UsNews #Ohio #Georgia #ForensicScience #Science
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DATE: June 20, 2026 at 02:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Missing a full night of sleep leaves a distinct metabolic signature in your spit
Missing a night of sleep leaves a specific chemical signature in saliva that can be reliably detected with a high degree of accuracy. A recent study published in the Journal of Proteome Research provides evidence that acute sleep deprivation creates a unique pattern of molecules in the mouth, paving the way for rapid tests that could eventually identify exhausted drivers or workers. The research suggests that just ten to twelve specific biomarkers are enough to distinguish someone who has been awake for twenty-four hours from someone who is well rested.
A team of scientists from the University of Zurich in Switzerland designed this clinical trial to find a biological marker for sleep loss. The research group, led by authors Michael Scholz and Thomas Kraemer, aimed to characterize the oral fluid metabolome under different conditions of fatigue.
Sleep loss is a growing problem that negatively impacts public health, productivity, and traffic safety. At present, police officers and employers must rely on self-reported sleep habits or subjective observations to determine if someone is too tired to operate a vehicle or heavy machinery. Unlike alcohol intoxication, which can be easily measured with a standard breathalyzer, there is no simple, direct, or objective measurement for sleep deprivation.
To address this gap, the authors turned to a field called metabolomics. Metabolomics is the study of small molecules, known as metabolites, that are left behind in biological samples as the functional end products of cellular processes. Every time the body uses energy, repairs tissues, or responds to stress, it alters the concentration of these chemicals.
The research team suspected that extreme fatigue would alter the body’s chemistry enough to create a recognizable metabolic footprint. They specifically chose to examine oral fluid, or saliva, because it is non-invasive and easy to collect. Blood draws can be inconvenient or legally complicated for non-medical personnel to perform on the side of the road, making saliva an ideal medium for future point-of-care testing.
“Our study provides the first direct biomarkers of sleep deprivation in saliva under realistic conditions – a milestone for forensic research,” says Thomas Kraemer, professor of forensic pharmacology and toxicology at the UZH Institute of Forensic Medicine.
To test their hypothesis, the scientists recruited twenty healthy young men with an average age of about twenty-four. The study specifically focused on young men of normal weight because demographic data indicates they represent the highest-risk group for traffic accidents caused by sleepiness. All participants reported a habitual sleep duration of seven to nine hours per night and had no extreme morning or evening preferences.
The trial used a randomized crossover design, meaning each participant experienced three different sleep conditions in a random order, with at least one week of normal sleep between each session. The conditions were designed to replicate common real-world sleep scenarios. In the control condition, participants were allowed a standard eight hours of sleep.
For the two experimental conditions, the participants accumulated an identical eight-hour sleep deficit, but they achieved this debt in two different ways. The total sleep deprivation condition required the men to skip an entire night of sleep, keeping them awake for over twenty-four hours straight. The sleep restriction condition required the men to shorten their normal sleep time by two hours each night for four consecutive nights, resulting in six hours of sleep per night.
During each intervention, researchers collected unstimulated saliva samples at predefined times throughout the day and evening. Participants placed a small cotton swab under their tongues for two minutes without chewing to ensure the collection was consistent and free of contamination. To control for natural biological rhythms, the scientists also measured the participants’ dim-light melatonin onset. Tracking this natural hormone release provided a reliable way to map each individual’s internal biological clock.
The collected samples were analyzed using a technique called liquid chromatography coupled to high-resolution mass spectrometry. This sophisticated analytical method separates the complex mixture of chemicals found in saliva and identifies them based on their mass and electrical charge. The process yielded a massive dataset containing over six thousand robust molecular features.
To make sense of this massive amount of data, the authors employed interpretable machine learning techniques. They trained logistic regression models, which are mathematical algorithms used to predict outcomes, to classify whether an unidentified saliva sample belonged to the rested condition, the sleep-deprived condition, or the sleep-restricted condition. The algorithm was programmed to recognize patterns in the metabolic data without needing a baseline sample from the same individual for comparison. This reference-free approach is essential for real-world forensic applications, where a baseline sample is rarely available.
“We found that acute sleep deprivation affects about 10% of all biomolecules in saliva. The challenge was to identify, among tens of thousands of molecules, those that reliably indicate fatigue. Using state-of-the-art technology, we succeeded in identifying 10 biomarkers that do exactly that,” says first author Michael Scholz.
The analysis revealed that an acute loss of a full night of sleep produced a unique and highly distinct metabolic fingerprint. The machine learning model was able to detect total sleep deprivation with an impressive degree of precision using a reduced set of only ten to twelve molecular features. When the model flagged a sample as coming from a sleep-deprived donor, its prediction was correct roughly ninety-six percent of the time.
Interestingly, the predictive power of the molecular fingerprint tended to fluctuate depending on the time of day. The metabolic differences between rested and exhausted participants were most pronounced in the morning and midday hours. By the late evening, the chemical signatures began to converge, likely because the natural circadian rhythms that promote sleepiness at night temporarily masked the specific markers of prolonged wakefulness.
While total sleep deprivation left an obvious chemical trail, the four nights of sleep restriction did not lead to exploitable metabolic changes. The algorithm struggled to reliably differentiate between participants who slept six hours a night and those who slept eight hours. This suggests that the body might process chronic, moderate sleep loss differently than an acute, sudden period of sustained wakefulness. The authors suspect that a larger accumulated sleep debt may be necessary to trigger the specific metabolic fingerprint associated with extreme fatigue.
The ability to detect a full twenty-four hours of wakefulness has important practical applications for law enforcement. In some jurisdictions, such as New Jersey, specific laws classify driving after twenty-four consecutive hours of wakefulness as reckless driving. The models developed in this study show the theoretical potential to enforce such legal standards by providing objective evidence of severe exhaustion.
“Such a test could improve road safety and enhance safety in work environments where attention and concentration are critical,” says Scholz.
Despite these promising advances, the authors note several limitations that require further investigation. The current study only examined healthy young men adhering to a regular day-night schedule. Future research needs to test these molecular markers in women, older adults, and individuals with varied chronotypes or sleep disorders to ensure the findings can be generalized across the broader population.
Additionally, the biomarkers must be validated under a wider array of real-world scenarios. Scientists need to explore how factors like shift work, varying diets, alcohol consumption, and prescription medications might alter the oral metabolome and potentially interfere with the test’s accuracy. Identifying the exact chemical structure and names of the ten to twelve essential metabolites is also a necessary next step.
It is also important to recognize the difference between being biologically sleep-deprived and being functionally impaired. The current machine learning models were designed to detect the physiological state of having been awake for twenty-four hours, which does not automatically perfectly correlate with a person’s individual cognitive impairment. Individual tolerance to sleep loss varies from person to person. Some people might exhibit the chemical markers of fatigue while still performing adequately, while others might be severely impaired by just a few lost hours of sleep.
In the end, this proof-of-concept study demonstrates that reference-free, metabolomics-based sleep loss detection is theoretically possible. As research progresses, these findings lay the groundwork for a reliable, non-invasive tool that could eventually be deployed by police officers and workplace safety managers.
The study, “Leveraging the Metabolic Fingerprint of Sleep Deprivation and Sleep Restriction for Forensic Applications: A Machine Learning Study in Oral Fluid Metabolomics,” was authored by Michael Scholz, Andrea E. Steuer, Akos Dobay, Hans-Peter Landolt, and Thomas Kraemer.
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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #sleepdeprivation #salivametabolomics #medicalbiomarkers #forensicscience #metabolomics #sleepresearch #salivaanalysis #machinelearning #roadsafery #biomarkerdiscovery
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DATE: June 20, 2026 at 02:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Missing a full night of sleep leaves a distinct metabolic signature in your spit
Missing a night of sleep leaves a specific chemical signature in saliva that can be reliably detected with a high degree of accuracy. A recent study published in the Journal of Proteome Research provides evidence that acute sleep deprivation creates a unique pattern of molecules in the mouth, paving the way for rapid tests that could eventually identify exhausted drivers or workers. The research suggests that just ten to twelve specific biomarkers are enough to distinguish someone who has been awake for twenty-four hours from someone who is well rested.
A team of scientists from the University of Zurich in Switzerland designed this clinical trial to find a biological marker for sleep loss. The research group, led by authors Michael Scholz and Thomas Kraemer, aimed to characterize the oral fluid metabolome under different conditions of fatigue.
Sleep loss is a growing problem that negatively impacts public health, productivity, and traffic safety. At present, police officers and employers must rely on self-reported sleep habits or subjective observations to determine if someone is too tired to operate a vehicle or heavy machinery. Unlike alcohol intoxication, which can be easily measured with a standard breathalyzer, there is no simple, direct, or objective measurement for sleep deprivation.
To address this gap, the authors turned to a field called metabolomics. Metabolomics is the study of small molecules, known as metabolites, that are left behind in biological samples as the functional end products of cellular processes. Every time the body uses energy, repairs tissues, or responds to stress, it alters the concentration of these chemicals.
The research team suspected that extreme fatigue would alter the body’s chemistry enough to create a recognizable metabolic footprint. They specifically chose to examine oral fluid, or saliva, because it is non-invasive and easy to collect. Blood draws can be inconvenient or legally complicated for non-medical personnel to perform on the side of the road, making saliva an ideal medium for future point-of-care testing.
“Our study provides the first direct biomarkers of sleep deprivation in saliva under realistic conditions – a milestone for forensic research,” says Thomas Kraemer, professor of forensic pharmacology and toxicology at the UZH Institute of Forensic Medicine.
To test their hypothesis, the scientists recruited twenty healthy young men with an average age of about twenty-four. The study specifically focused on young men of normal weight because demographic data indicates they represent the highest-risk group for traffic accidents caused by sleepiness. All participants reported a habitual sleep duration of seven to nine hours per night and had no extreme morning or evening preferences.
The trial used a randomized crossover design, meaning each participant experienced three different sleep conditions in a random order, with at least one week of normal sleep between each session. The conditions were designed to replicate common real-world sleep scenarios. In the control condition, participants were allowed a standard eight hours of sleep.
For the two experimental conditions, the participants accumulated an identical eight-hour sleep deficit, but they achieved this debt in two different ways. The total sleep deprivation condition required the men to skip an entire night of sleep, keeping them awake for over twenty-four hours straight. The sleep restriction condition required the men to shorten their normal sleep time by two hours each night for four consecutive nights, resulting in six hours of sleep per night.
During each intervention, researchers collected unstimulated saliva samples at predefined times throughout the day and evening. Participants placed a small cotton swab under their tongues for two minutes without chewing to ensure the collection was consistent and free of contamination. To control for natural biological rhythms, the scientists also measured the participants’ dim-light melatonin onset. Tracking this natural hormone release provided a reliable way to map each individual’s internal biological clock.
The collected samples were analyzed using a technique called liquid chromatography coupled to high-resolution mass spectrometry. This sophisticated analytical method separates the complex mixture of chemicals found in saliva and identifies them based on their mass and electrical charge. The process yielded a massive dataset containing over six thousand robust molecular features.
To make sense of this massive amount of data, the authors employed interpretable machine learning techniques. They trained logistic regression models, which are mathematical algorithms used to predict outcomes, to classify whether an unidentified saliva sample belonged to the rested condition, the sleep-deprived condition, or the sleep-restricted condition. The algorithm was programmed to recognize patterns in the metabolic data without needing a baseline sample from the same individual for comparison. This reference-free approach is essential for real-world forensic applications, where a baseline sample is rarely available.
“We found that acute sleep deprivation affects about 10% of all biomolecules in saliva. The challenge was to identify, among tens of thousands of molecules, those that reliably indicate fatigue. Using state-of-the-art technology, we succeeded in identifying 10 biomarkers that do exactly that,” says first author Michael Scholz.
The analysis revealed that an acute loss of a full night of sleep produced a unique and highly distinct metabolic fingerprint. The machine learning model was able to detect total sleep deprivation with an impressive degree of precision using a reduced set of only ten to twelve molecular features. When the model flagged a sample as coming from a sleep-deprived donor, its prediction was correct roughly ninety-six percent of the time.
Interestingly, the predictive power of the molecular fingerprint tended to fluctuate depending on the time of day. The metabolic differences between rested and exhausted participants were most pronounced in the morning and midday hours. By the late evening, the chemical signatures began to converge, likely because the natural circadian rhythms that promote sleepiness at night temporarily masked the specific markers of prolonged wakefulness.
While total sleep deprivation left an obvious chemical trail, the four nights of sleep restriction did not lead to exploitable metabolic changes. The algorithm struggled to reliably differentiate between participants who slept six hours a night and those who slept eight hours. This suggests that the body might process chronic, moderate sleep loss differently than an acute, sudden period of sustained wakefulness. The authors suspect that a larger accumulated sleep debt may be necessary to trigger the specific metabolic fingerprint associated with extreme fatigue.
The ability to detect a full twenty-four hours of wakefulness has important practical applications for law enforcement. In some jurisdictions, such as New Jersey, specific laws classify driving after twenty-four consecutive hours of wakefulness as reckless driving. The models developed in this study show the theoretical potential to enforce such legal standards by providing objective evidence of severe exhaustion.
“Such a test could improve road safety and enhance safety in work environments where attention and concentration are critical,” says Scholz.
Despite these promising advances, the authors note several limitations that require further investigation. The current study only examined healthy young men adhering to a regular day-night schedule. Future research needs to test these molecular markers in women, older adults, and individuals with varied chronotypes or sleep disorders to ensure the findings can be generalized across the broader population.
Additionally, the biomarkers must be validated under a wider array of real-world scenarios. Scientists need to explore how factors like shift work, varying diets, alcohol consumption, and prescription medications might alter the oral metabolome and potentially interfere with the test’s accuracy. Identifying the exact chemical structure and names of the ten to twelve essential metabolites is also a necessary next step.
It is also important to recognize the difference between being biologically sleep-deprived and being functionally impaired. The current machine learning models were designed to detect the physiological state of having been awake for twenty-four hours, which does not automatically perfectly correlate with a person’s individual cognitive impairment. Individual tolerance to sleep loss varies from person to person. Some people might exhibit the chemical markers of fatigue while still performing adequately, while others might be severely impaired by just a few lost hours of sleep.
In the end, this proof-of-concept study demonstrates that reference-free, metabolomics-based sleep loss detection is theoretically possible. As research progresses, these findings lay the groundwork for a reliable, non-invasive tool that could eventually be deployed by police officers and workplace safety managers.
The study, “Leveraging the Metabolic Fingerprint of Sleep Deprivation and Sleep Restriction for Forensic Applications: A Machine Learning Study in Oral Fluid Metabolomics,” was authored by Michael Scholz, Andrea E. Steuer, Akos Dobay, Hans-Peter Landolt, and Thomas Kraemer.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #sleepdeprivation #salivametabolomics #medicalbiomarkers #forensicscience #metabolomics #sleepresearch #salivaanalysis #machinelearning #roadsafery #biomarkerdiscovery
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On my latest “Looking Back on Genre History” segment on the #StarShipSofa podcast (Episode 780), I discuss the books of #FrankTallis, the series #ViennaBlood, and the phenomenon of #SigmundFreud in #GenreFiction. #ScienceFiction #HistoryOfScience #Mystery #CrimeFiction #Gothic #Horror #HistoricalFiction #SFF #ForensicScience #Books #Bookstodon
Here is the link: https://podcasts.apple.com/us/podcast/starshipsofa-780-p-a-cornell/id166360307?i=1000770891894
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On my latest “Looking Back on Genre History” segment on the #StarShipSofa podcast (Episode 780), I discuss the books of #FrankTallis, the series #ViennaBlood, and the phenomenon of #SigmundFreud in #GenreFiction. #ScienceFiction #HistoryOfScience #Mystery #CrimeFiction #Gothic #Horror #HistoricalFiction #SFF #ForensicScience #Books #Bookstodon
Here is the link: https://podcasts.apple.com/us/podcast/starshipsofa-780-p-a-cornell/id166360307?i=1000770891894
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Dig begins for remains of Troubles victim 50 years after disappearance https://www.theguardian.com/uk-news/2026/may/26/dig-begins-troubles-victim-seamus-maguire-disappeared-county-antrim #NorthernIreland #UkNews #Ireland #Ira #HilaryBenn #ForensicScience
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Dig begins for remains of Troubles victim 50 years after disappearance https://www.theguardian.com/uk-news/2026/may/26/dig-begins-troubles-victim-seamus-maguire-disappeared-county-antrim #NorthernIreland #UkNews #Ireland #Ira #HilaryBenn #ForensicScience
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Expansion of Surveillance and Forensic Reach in Chhattisgarh
Chhattisgarh now has 400 new emergency vehicles and 33 mobile forensic labs to improve police, medical, and fire services across all 33 districts. This expands the 'CG Dial 112' platform.
#Chhattisgarh #Dial112 #ForensicScience #EmergencyResponse #AmitShah
https://newsletter.tf/chhattisgarh-new-vehicles-forensic-labs-dial-112/
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Chhattisgarh has launched 400 new emergency response vehicles and 33 mobile forensic labs, a significant upgrade from limited coverage in 16 districts to all 33 districts.
#Chhattisgarh #Dial112 #ForensicScience #EmergencyResponse #AmitShah
https://newsletter.tf/chhattisgarh-new-vehicles-forensic-labs-dial-112/ -
A novel, nondestructive methodology utilizing dry cytology brushes to extract cellular and genetic material from ancient animal-skin parchments without compromising the physical integrity of the historical artifacts.
#MolecularGenetics #Bioarchaeology #VeterinaryGenetics #ForensicScience #sflorg
https://www.sflorg.com/2026/05/gen05182601.html -
A novel, nondestructive methodology utilizing dry cytology brushes to extract cellular and genetic material from ancient animal-skin parchments without compromising the physical integrity of the historical artifacts.
#MolecularGenetics #Bioarchaeology #VeterinaryGenetics #ForensicScience #sflorg
https://www.sflorg.com/2026/05/gen05182601.html -
CW: Blood sample, decapitated head.
A TV-Show You Started But Never Finished: #dexter
#michaelchall #dextermorgan #serialkiller #moralcode #darkpassenger #bloodsample #jennifercarpenter #jamesremar #juliebenz #davidzayas #cslee #desmondharrington #forensicscience #decapitatedhead #chainsaw
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Science Guides Justice: AIIMS Patna Hosts Landmark CME on Forensic Medicine.
https://aliyesha.com/sub/articles/news/display/bh_forensic_medicine_aiims_patna
#AIIMSPatna #ForensicMedicine #NationalForensicMedicineDay #JusticeDelivery #ForensicScience #News
Enjoy tracker free reading with us. #privacy #privacymatters
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Science Guides Justice: AIIMS Patna Hosts Landmark CME on Forensic Medicine.
https://aliyesha.com/sub/articles/news/display/bh_forensic_medicine_aiims_patna
#AIIMSPatna #ForensicMedicine #NationalForensicMedicineDay #JusticeDelivery #ForensicScience #News
Enjoy tracker free reading with us. #privacy #privacymatters
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Today feels like a good day to start work on a book that I've been pondering for a few months. #writing #ForensicScience #DFIR
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Today feels like a good day to start work on a book that I've been pondering for a few months. #writing #ForensicScience #DFIR
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A team of Malayali researchers has developed an AI-powered interrogation system, SEMS, designed to detect deception in real time and improve forensic accuracy. https://english.mathrubhumi.com/technology/science/ai-interrogation-system-sems-malayali-researchers-crime-detection-technology-giiu83gn?utm_source=dlvr.it&utm_medium=mastodon #AIInnovation #ForensicScience #LieDetection #SEMS
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Understanding sadism—specifically in its subclinical or "everyday" manifestations—is no longer merely an academic exercise relegated to #forensic #psychology or criminal pathology. As will be explored in this intense analysis, everyday sadism is deeply embedded in the current state of humanity.
#WhatIs #Psychology #BehavioralScience #ForensicScience #Sadism #sflorg
https://www.sflorg.com/2026/03/wi03112601.html -
Understanding sadism—specifically in its subclinical or "everyday" manifestations—is no longer merely an academic exercise relegated to #forensic #psychology or criminal pathology. As will be explored in this intense analysis, everyday sadism is deeply embedded in the current state of humanity.
#WhatIs #Psychology #BehavioralScience #ForensicScience #Sadism #sflorg
https://www.sflorg.com/2026/03/wi03112601.html -
Recent behavioral research demonstrates that deeply ingrained societal myths and stereotypes about male rape directly compromise the judicial process by significantly influencing how potential jurors evaluate evidence, judge credibility, and render verdicts in male-on-male sexual assault trials.
#BehavioralScience #ForensicScience #Psychology #sflorg
https://www.sflorg.com/2026/03/bs03102601.html -
Recent behavioral research demonstrates that deeply ingrained societal myths and stereotypes about male rape directly compromise the judicial process by significantly influencing how potential jurors evaluate evidence, judge credibility, and render verdicts in male-on-male sexual assault trials.
#BehavioralScience #ForensicScience #Psychology #sflorg
https://www.sflorg.com/2026/03/bs03102601.html -
How a clump of moss helped convict grave robbers in Illinois https://www.theguardian.com/science/2026/mar/05/how-moss-helped-convict-grave-robbers-illinois #Science #Chicago #Illinois #UsNews #ForensicScience #WorldNews
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How a clump of moss helped convict grave robbers in Illinois https://www.theguardian.com/science/2026/mar/05/how-moss-helped-convict-grave-robbers-illinois #Science #Chicago #Illinois #UsNews #ForensicScience #WorldNews
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Disappointing to see the latest HoL report on Forensic Science continues the myth that "defence" forensic science is different to other forensic science. Science is the key element, not who pays the bill.
https://publications.parliament.uk/pa/ld5901/ldselect/ldsctech/256/256.pdf (paras 102 et seq.)
I fear we are will see expansion of a poorly worded set of codes and delays while people wait to be told not just what to do, but how to do it, giving up when they see how expensive it is.
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I am frustrated, and a little bit angry. Digital Forensics is broken. https://www.linkedin.com/pulse/digital-forensic-research-does-exist-uk-angus-marshall-s6hke #DFIR #forensics #forensicscience #research #academia
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I am frustrated, and a litte. bit angry. Digital Forensics is broken. https://www.linkedin.com/pulse/digital-forensic-research-does-exist-uk-angus-marshall-s6hke #DFIR #forensics #forensicscience #research #academia
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The Forensic Science Laboratory Delhi has invited applications for Junior Scientific Assistant posts on a one-year contract basis. https://english.mathrubhumi.com/education/career/delhi-fsl-jsa-recruitment-2026-k5fav4em?utm_source=dlvr.it&utm_medium=mastodon #FSLDelhi #ForensicScience #GovernmentJobs #Delhi
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The Kerala Cabinet has approved leasing five acres of land at Technocity for setting up a Central Forensic Science Laboratory. https://english.mathrubhumi.com/news/kerala/kerala-technocity-central-forensic-science-lab-ho4lowh8?utm_source=dlvr.it&utm_medium=mastodon #ForensicScience #Technocity #CFSL #KeralaGovernment
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I'm exploring how people find best practice for writing SOPs and what it looks like. You can help by completing the survey online at https://forms.gle/t26bsCqtBCwhq2YV9 or downloading a copy from https://drive.google.com/uc?export=download&id=1Xre41M1MSSf-kjSsxI8lHuThf6RvekWq
and emailing it back to me.
Input from ANY industry is useful - and more is probably better.
Responses are confidential and no detail of SOP asked for.
#forensics #SOPs #quality #ISO17025 #standards #DFIR #forensicScience
Please repost/boost for coverage.
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Researchers at Los Alamos National Laboratory have, for the first time, used a breakthrough technique with a goal of better identifying the origin of #nuclear materials — a tool that could someday help efforts to prevent the spread of nuclear material around the globe.
#ForensicScience #sflorg
https://www.sflorg.com/2025/12/fs12092501.html -
Researchers at Los Alamos National Laboratory have, for the first time, used a breakthrough technique with a goal of better identifying the origin of #nuclear materials — a tool that could someday help efforts to prevent the spread of nuclear material around the globe.
#ForensicScience #sflorg
https://www.sflorg.com/2025/12/fs12092501.html -
The New York Times - Breaking News, US News, World News and Videos [Unofficial] @[email protected] ·Arrests in Louvre Heist Show Power of DNA Databases in Solving Crimes
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The New York Times - Breaking News, US News, World News and Videos [Unofficial] @[email protected] ·
Inside the Louvre Jewel Heist That Shocked the World
https://web.brid.gy/r/https://www.nytimes.com/2025/10/30/world/europe/inside-louvre-jewel-heist.html
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The New York Times - Breaking News, US News, World News and Videos [Unofficial] @[email protected] ·
2 Louvre Heist Suspects Have ‘Partially Admitted’ to the Crime
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DNA Analyst Career and Education Information 2026
Ever been fascinated by how a single strand of hair or a drop of blood can solve a mystery?
That’s exactly what DNA analysts do they decode genetic clues that can identify suspects, uncover family ties, and even push the boundaries of medical research.
👉 Read the full article: https://scholarinfohub.com/dna-analyst-career-and-education-information/
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Sparking Young Minds with Forensic Science and Storytelling
Sparking Young Minds with Forensic Science and Storytelling
September 29, 2025| Guest Contributor
What do fingerprints, footprints, and fiber analysis have in common?
Picture a group of kids huddled over a table in your library, dusting for “mystery” fingerprints they just read about in a story. Their eyes widen as the patterns appear! It’s discovery, excitement, and learning all at once.
Fingerprints, footprints, and fibers found at crime scenes are types of forensic trace evidence. They help solve mysteries and uncover what happened at a location. Kids love solving mysteries—and they love playing detective. These clues can spark curiosity and imagination while introducing cause and effect.
From Crime Labs to Library Tables
My background in biotechnology and forensic science, combined with my passion for STEMM education, has shaped how I bring science to life for children. Kids of all ages are naturally curious, especially when they’re solving mysteries or exploring the world around them.
I asked myself: How can I capture the thrill of scientific discovery in a way children can enjoy and understand?
The answer came by blending playful storytelling with hands-on science activities. Each letter of the alphabet became a chance to introduce a real-world forensic concept—from “A is for Analysis” to “Z is for Zero Contamination.” One of the biggest challenges was taking complex science and translating it into language kids could understand, without losing its meaning.
Librarians face similar challenges. Turning complicated ideas into age-appropriate, engaging content is a powerful way to bring STEMM into storytime and library programming. Whether it’s exploring forensic mysteries with fingerprint kits after reading a picture book or hosting a scavenger hunt for “evidence,” these science activities can be both fun and educational.
Why Forensic Literacy Matters in Early Education
Forensic science isn’t just about solving crimes—it’s about developing observation, reasoning, and ethical thinking. Introducing these skills early can help children become thoughtful problem-solvers for life.
By bringing forensic science activities into early
education, we give children tools that go beyond
the lab. These hands-on lessons encourage logical
reasoning, attention to detail, and critical thinking,
all while turning science into a fun and interactive
experience.Simple Forensic Activities for Library Programming
Looking for easy ways to bring forensic science into your programs? Try these:
- Fingerprint Fun: Have kids “dust” for their own fingerprints using pencils, tape, and paper. Pair this with a mystery-themed picture book.
- Fiber Detective: Provide small fabric samples and magnifying glasses. Kids can compare fibers to guess which “suspect” they came from.
- Animal Track Hunt: Hide paper animal tracks around the library and challenge kids to match them to the right animals.
- Fruit DNA Extraction: For older children, extract DNA from strawberries—a simple way to connect biology to real-world science.
- Invite a Local Expert: Host a Q&A with a forensic scientist or local law enforcement to help inspire future investigators.
These activities support inquiry-based learning and align with science standards in fun, meaningful ways!
Encouraging Lifelong Curiosity
During a recent STEMM demo, a child looked up at me wide- eyed and asked, “Can I be a scientist too?” That moment reminded me why early exposure matters. Children often see themselves in the roles we show them—whether that’s a storyteller, an explorer, or a scientist.
Librarians can open those doors. Every mystery solved during
storytime, every question encouraged in a program, helps build a
generation of critical thinkers, innovators, and problem-solvers.Continue/Read Original Article: https://www.alsc.ala.org/blog/2025/09/sparking-young-minds-with-forensic-science-and-storytelling/
#2025 #ALA #ALSC #America #AmericanLibraryAssociation #Books #Children #Coaching #Education #ForensicScience #History #Librarians #Libraries #Library #LibraryOfCongress #PlayResearcher #Reading #Storytelling #Teaching #TheAssociationForLibraryServiceToChildren #UnitedStates #YoungMinds #YoungPeople
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Sparking Young Minds with Forensic Science and Storytelling
Sparking Young Minds with Forensic Science and Storytelling
September 29, 2025| Guest Contributor
What do fingerprints, footprints, and fiber analysis have in common?
Picture a group of kids huddled over a table in your library, dusting for “mystery” fingerprints they just read about in a story. Their eyes widen as the patterns appear! It’s discovery, excitement, and learning all at once.
Fingerprints, footprints, and fibers found at crime scenes are types of forensic trace evidence. They help solve mysteries and uncover what happened at a location. Kids love solving mysteries—and they love playing detective. These clues can spark curiosity and imagination while introducing cause and effect.
From Crime Labs to Library Tables
My background in biotechnology and forensic science, combined with my passion for STEMM education, has shaped how I bring science to life for children. Kids of all ages are naturally curious, especially when they’re solving mysteries or exploring the world around them.
I asked myself: How can I capture the thrill of scientific discovery in a way children can enjoy and understand?
The answer came by blending playful storytelling with hands-on science activities. Each letter of the alphabet became a chance to introduce a real-world forensic concept—from “A is for Analysis” to “Z is for Zero Contamination.” One of the biggest challenges was taking complex science and translating it into language kids could understand, without losing its meaning.
Librarians face similar challenges. Turning complicated ideas into age-appropriate, engaging content is a powerful way to bring STEMM into storytime and library programming. Whether it’s exploring forensic mysteries with fingerprint kits after reading a picture book or hosting a scavenger hunt for “evidence,” these science activities can be both fun and educational.
Why Forensic Literacy Matters in Early Education
Forensic science isn’t just about solving crimes—it’s about developing observation, reasoning, and ethical thinking. Introducing these skills early can help children become thoughtful problem-solvers for life.
By bringing forensic science activities into early
education, we give children tools that go beyond
the lab. These hands-on lessons encourage logical
reasoning, attention to detail, and critical thinking,
all while turning science into a fun and interactive
experience.Simple Forensic Activities for Library Programming
Looking for easy ways to bring forensic science into your programs? Try these:
- Fingerprint Fun: Have kids “dust” for their own fingerprints using pencils, tape, and paper. Pair this with a mystery-themed picture book.
- Fiber Detective: Provide small fabric samples and magnifying glasses. Kids can compare fibers to guess which “suspect” they came from.
- Animal Track Hunt: Hide paper animal tracks around the library and challenge kids to match them to the right animals.
- Fruit DNA Extraction: For older children, extract DNA from strawberries—a simple way to connect biology to real-world science.
- Invite a Local Expert: Host a Q&A with a forensic scientist or local law enforcement to help inspire future investigators.
These activities support inquiry-based learning and align with science standards in fun, meaningful ways!
Encouraging Lifelong Curiosity
During a recent STEMM demo, a child looked up at me wide- eyed and asked, “Can I be a scientist too?” That moment reminded me why early exposure matters. Children often see themselves in the roles we show them—whether that’s a storyteller, an explorer, or a scientist.
Librarians can open those doors. Every mystery solved during
storytime, every question encouraged in a program, helps build a
generation of critical thinkers, innovators, and problem-solvers.Continue/Read Original Article: https://www.alsc.ala.org/blog/2025/09/sparking-young-minds-with-forensic-science-and-storytelling/
#2025 #ALA #ALSC #America #AmericanLibraryAssociation #Books #Children #Coaching #Education #ForensicScience #History #Librarians #Libraries #Library #LibraryOfCongress #PlayResearcher #Reading #Storytelling #Teaching #TheAssociationForLibraryServiceToChildren #UnitedStates #YoungMinds #YoungPeople
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Term Professor Forensic Science (Open-Rank)
George Mason UniversityGeorge Mason University’s Forensic Science Program is seeking a #ForensicScience #Chemistry Professor (open-rank, NTT, renewable)!
See the full job description on jobRxiv: https://jobrxiv.org/job/george-mason-university-27778-term-professor-forensic-science-open-rank/
#forensicscience #toxicology #ScienceJobs #hiri...
https://jobrxiv.org/job/george-mason-university-27778-term-professor-forensic-science-open-rank/?fsp_sid=263 -
Term Professor Forensic Science (Open-Rank)
George Mason UniversityGeorge Mason University’s Forensic Science Program is seeking a #ForensicScience #Chemistry Professor (open-rank, NTT, renewable)!
See the full job description on jobRxiv: https://jobrxiv.org/job/george-mason-university-27778-term-professor-forensic-science-open-rank/
#forensicscience #toxicology #ScienceJobs #hiri...
https://jobrxiv.org/job/george-mason-university-27778-term-professor-forensic-science-open-rank/?fsp_sid=263 -
Oxford University Press to stop publishing China-sponsored science journal https://www.theguardian.com/science/2025/jul/16/oxford-university-press-stop-publishing-china-sponsored-academic-journal-forensic-sciences-research #UniversityofOxford #Highereducation #Forensicscience #AsiaPacific #Worldnews #Academics #Education #Genetics #Science #Uyghurs #Ethics #China
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Oxford University Press to stop publishing China-sponsored science journal https://www.theguardian.com/science/2025/jul/16/oxford-university-press-stop-publishing-china-sponsored-academic-journal-forensic-sciences-research #UniversityofOxford #Highereducation #Forensicscience #AsiaPacific #Worldnews #Academics #Education #Genetics #Science #Uyghurs #Ethics #China
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Slightly selfish post. My written evidence to the APPG commission on forensic science was written 2 years before their report was published. You can read both.
The report : https://futurejustice.org.uk/wp-content/uploads/2025/06/FS_Digital.pdf #DigitalForensics #DFIR #ForensicScience #Forensics #Law #Justice
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Miscarriages of justice more likely due to forensic science crisis, report finds https://www.theguardian.com/law/2025/jun/09/forensic-science-crisis-miscarriages-of-justice-england-and-wales-report #UKcriminaljustice #Forensicscience #Politics #Science #Police #UKnews #Crime #Law
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Miscarriages of justice more likely due to forensic science crisis, report finds https://www.theguardian.com/law/2025/jun/09/forensic-science-crisis-miscarriages-of-justice-england-and-wales-report #UKcriminaljustice #Forensicscience #Politics #Science #Police #UKnews #Crime #Law
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Wednesday 17 April 1963
A “millionaire-class” mini-car conversion with electrically-operated windows and a chromium-plated gear lever, is announced today by Harold Radford, the London coach-building firm. It is based on the £567 mini-car with the Cooper engine, and will cost £1,088.
#SocialHistory #History #Motoring #Space #Cricket #1960s #ForensicScience
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Wednesday 17 April 1963
A “millionaire-class” mini-car conversion with electrically-operated windows and a chromium-plated gear lever, is announced today by Harold Radford, the London coach-building firm. It is based on the £567 mini-car with the Cooper engine, and will cost £1,088.
#SocialHistory #History #Motoring #Space #Cricket #1960s #ForensicScience
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Hawaii man freed after 30 years in prison due to new DNA evidence https://www.theguardian.com/us-news/2025/feb/24/hawaii-man-freed-gordon-cordeiro #Forensicscience #UScrime #Hawaii #USnews
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Hawaii man freed after 30 years in prison due to new DNA evidence https://www.theguardian.com/us-news/2025/feb/24/hawaii-man-freed-gordon-cordeiro #Forensicscience #UScrime #Hawaii #USnews
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Forensic science centre that inspired BBC show Traces at risk of closure https://www.theguardian.com/science/2025/feb/23/forensic-science-centre-that-inspired-bbc-show-traces-at-risk-of-closure #UniversityofDundee #Forensicscience #Highereducation #Education #Research #Scotland #Science #UKnews
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Forensic science centre that inspired BBC show Traces at risk of closure https://www.theguardian.com/science/2025/feb/23/forensic-science-centre-that-inspired-bbc-show-traces-at-risk-of-closure #UniversityofDundee #Forensicscience #Highereducation #Education #Research #Scotland #Science #UKnews
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"Of Chile’s 1,469 officially-recognized cases of forced disappearance, only 306 victims have ever been found."
Fletcher Reveley 📝 and Kitra Cahana 📷 for Undark: https://longreads.com/2025/02/20/grave-mistakes-the-history-and-future-of-chiles-disappeared/