Brooks Kushman P.C.’s Post

The Effect of Public Science on Corporate R&D - Our findings question the belief that public science represents a non-rival public good that feeds into corporate R&D through knowledge spillovers - https://lnkd.in/drqjBnsc

Interesting article in todays Scotsman from Susan Nightingale

I had the opportunity to write about Dr. Clement's fascinating life for the latest issue of MarshallMD. You can read it here: https://lnkd.in/gNzmRrdj

Digital Age Civilization does not allow uncivilized behavior. Science is methods that used to get or verify truth. Scientist is one who sacrifices himself, histime and allowed resources so as to get result of his/her specific area of study. It is necessary to remind, the process of civilization guides us his scientific result may be published, universally accepted and applied until another scientist (current or future) who has the same profession bring new improved and applied result. https://lnkd.in/eMgDgRuD

Her insights into the instability of genes and their location on chromosomes still hasn‘t been digested by the community. There isn‘t a single human genome. We each have a unique set including millions of mutations, deletions, rearrangements and duplications. These are the dominant source of human variation which far surpass any acretion of novel mutations during our lifetime, e.g. from cosmic radiation, fall-out or mechanical stress. The increase of defect genes in sperm of older men is, however, statistically significant. Still: avoid UV in sunlight and use UV-blockers! (melanoma)

Next in our ongoing blog series on #ScientificIntegrity, we hear from Scott Findlay (a Researcher-in-Residence at the Office of the Chief Science Advisor). Scott reflects on the promise of the federal scientific integrity policies, their progress and the problems in their implementation. Check it out: https://lnkd.in/gWRE5m5Y

For scientists and science communicators working in the face of powerful opposition:

Just read an eye-opening study on socioeconomic bias in large language models! 📚💡 - LLMs often show bias against underprivileged groups. - The study uses a unique dataset called SilverSpoon. - Findings highlight a lack of empathy from LLMs towards disadvantaged individuals. #TechForGood #AI #Inclusion Additional Details: - Study Focus: Examined how LLMs handle scenarios involving socioeconomically disadvantaged individuals. - Dataset: SilverSpoon, with 3,000 diverse scenarios. - Key Insight: Most LLMs show a preference for privileged perspectives. - Call to Action: More research needed to mitigate these biases. - Implications: Biased AI can reinforce social inequalities. - Next Steps: Developers need to prioritize fairness and inclusivity in AI. - Community Role: Collaboration among researchers, policymakers, and developers is crucial.

Our recent webinar surrounding trust in science featured a discussion with moderator Mariette DiChristina (Boston University) and panelists Katherine Ognyanova (Rutgers University), Arthur Lupia (University of Michigan), and Liz Hamel (KFF). They considered the differences between credibility, confidence, and trust; described new empirical findings; and discussed the implications for how to communicate science in a complex information landscape. Watch the archived video now: https://ow.ly/z23g50S8txM #ScienceCommunication #SciComm #Research

There is a global debate of children and young people's involvement in research, decision-making, and policy. In my blog on BMJ, I pose a critical question: Are we genuinely prepared to cede our positions to children to prioritize and honour their needs and perspectives 👇 ✍ https://lnkd.in/eFjzvTNs