Threat Overview – DarkGate Malware DarkGate malware variant was first observed in the wild in 2018 (seemingly in production since 2017), evolving into a more dangerous and widespread version of itself in recent years – more notably after the takedown of the Qbot infrastructure, there has been a surge in cases involving the variant. DarkGate […]

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"We present the results of a meta-analysis of all empirical studies on the effects of these warnings. Overall, we found that warnings had no effect on affective responses to negative material or on educational outcomes. However, warnings reliably increased anticipatory affect. Findings on avoidance were mixed, suggesting either that warnings have no effect on engagement with material or that they increased engagement with negative material under specific circumstances."

Full Abstract: "Trigger warnings, content warnings, or content notes are alerts about upcoming content that may contain themes related to past negative experiences. Advocates claim that warnings help people to emotionally prepare for or completely avoid distressing material. Critics argue that warnings both contribute to a culture of avoidance at odds with evidence-based treatment practices and instill fear about upcoming content. A body of psychological research has recently begun to empirically investigate these claims. We present the results of a meta-analysis of all empirical studies on the effects of these warnings. Overall, we found that warnings had no effect on affective responses to negative material or on educational outcomes. However, warnings reliably increased anticipatory affect. Findings on avoidance were mixed, suggesting either that warnings have no effect on engagement with material or that they increased engagement with negative material under specific circumstances. Limitations and implications for policy and therapeutic practice are discussed." Citation: Bridgland, V. M. E., Jones, P. J., & Bellet, B. W. (2023). A Meta-Analysis of the Efficacy of Trigger Warnings, Content Warnings, and Content Notes. Clinical Psychological Science, 0(0). https://doi.org/10.1177/21677026231186625 Note that the Association for Psychological Science has a more public-facing writeup about the research, if you'd prefer a non-researcher-oriented read. If, instead, you'd like to read more research, you might take a look at the articles citing/responding to the meta-analysis.

In 2021, when a massive container ship became wedged in the Suez Canal, you could almost hear the collective sigh of frustration around the globe. It was a here-we-go-again moment in a year full of supply chain hiccups. Every minute the ship remained stuck represented about $6.7 million in paralyzed global trade.

The 12 months leading up to the debacle had seen countless manufacturing, production, and shipping snags, thanks to the covid-19 pandemic. The upheaval illuminated the critical role of supply chains in consumers’ everyday lives—nothing, from baby formula to fresh produce to ergonomic office chairs, seemed safe.

For companies producing just about any physical product, the many “black swan” events (catastrophic incidents that are nearly impossible to predict) of the last four years illustrate the importance of supply chain resilience—businesses’ ability to anticipate, respond, and bounce back. Yet many organizations still don’t have robust measures in place for future setbacks.

In a poll of 250 business leaders conducted by MIT Technology Review Insights in partnership with Infosys Cobalt, just 12% say their supply chains are in a “fully modern, integrated” state. Almost half of respondents’ firms (47%) regularly experience some supply chain disruptions—nearly one in five (19%) say they feel “constant pressure,” and 28% experience
“occasional disruptions.” A mere 6% say disruptions aren’t an issue. But there’s hope on the horizon. In 2024, rapidly advancing technologies are making transparent, collaborative, and data-driven supply chains more realistic.

“Emerging technologies can play a vital role in creating more sustainable and circular supply chains,” says Dinesh Rao, executive vice president and co-head of delivery at digital services and consulting company Infosys. “Recent strides in artificial intelligence and machine learning, blockchain, and other systems will help build the ability to deliver future-ready, resilient supply chains.”

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.