Institutional Review Processes

A major global academic publisher has recently retracted nine research papers at once by the same author. The author is a well-known senior professor in Economics and Business Administration at one of Ireland’s leading universities—widely regarded as a destination for sponsored and international postgraduate students. The papers were published in two top-tier Q1 journals, both with impact factors above 10 (≈10 and 11). All nine papers were published between 2018 and 2023. The retractions occurred at different times, but the reason was the same. Reason for retraction: The author was simultaneously the editor handling submissions for the two journals. He received his own manuscripts, assigned reviewers, and ultimately made the final publication decision on his own work. Following an investigation supported by an independent research-integrity adviser, the publisher concluded that this constituted a serious conflict of interest and proceeded with retracting all nine papers. The professor has publicly objected to the decision, arguing that there is no scientific flaw in the papers. However, the issue here is not scientific validity, but ethical integrity—specifically, the fundamental principle that no individual should act as judge over their own work. A look at the author’s Google Scholar profile shows an exceptionally high output, with an H-index exceeding 85, classifying him as a hyper-prolific author. As the saying goes: Not everything that glitters is gold. #ResearchRetraction #ResearchIntegrity #ConflictOfInterest #AcademicPublishing #Elsevier #NotEverythingThatGlittersIsGold

I'm lucky to be surrounded by friends and colleagues who make me think about the less obvious things. One recently asked if I'd seen the latest fallout from Trump's visa restrictions. I hadn't. They told me that American universities were in a panic and that Cornell alone expects to lose 800 international students in the autumn. As we discussed the implications, it became clear that while America's universities struggle with the consequences of isolationist policies, Britain faces an opportunity to become the world's educational destination of choice. Now I may be late to this, but I've not heard one political leader in the UK say that. Why not? The opportunity is clear. Trump's inflammatory rhetoric and recent executive order restricting student visas have sent shockwaves through US campuses. The Chronicle of Higher Education reports emergency meetings at over 200 American institutions facing potential revenue losses of $1.2 billion collectively. International applications to US universities have already dropped 7% since November's election. Britain's academic ecosystem offers global excellence that extends far beyond Oxbridge. Imperial College leads in engineering, Edinburgh in artificial intelligence, UCL in medical research, Manchester in graphene technology, Loughborough in sports, and St Andrews in international relations. This breadth of specialised excellence provides international students options that increasingly nervous American institutions cannot match. To seize this moment, however, Britain must urgently reform counterproductive policies. First, international students must be permanently removed from net migration targets; a change the Russell Group estimates would increase export earnings by £9 billion annually. Second, the graduate visa pathway should be extended from two to five years, matching competitor nations like Canada. Third, visa processing must be streamlined, with application fees reduced to competitive levels. All of three push up against an overly politicised debate around immigration, which is, regrettably, why short termist politicians are yet to step up. We need them to step up. The soft power implications are profound. British Council research shows 81% of international alumni maintain professional connections with the UK, while 77% report increased trust in British institutions. As former UN Secretary-General Ban Ki-moon noted, "Education is the most powerful weapon for changing the world", and by extension, the most effective tool for projecting influence. While American universities cancel recruitment events and scramble to reassure nervous applicants, Britain has a fleeting window to position itself as education's global hub. The question for British policymakers isn't whether we can afford to welcome more international students… it's whether we can afford not to while America surrenders its educational leadership in real time.

"This working paper will argue that standardization is the ideal route for establishing robust and adaptive AI governance for the research sector internationally. This is mainly because of the ability for standardization to engage multiple stakeholders with different interests while ensuring accountability and robust requirements through conformity assessment and certification within a standard. The first section of the paper will begin with an evaluation of the primary global risks posed by AI use within research institutions. The second section will discuss how these global risks require global governance structures and what that might look like in the research context. The third section will address some of the primary concerns or critiques of standardization as a method of governance and potential paths to ensure those shortcomings will not affect efficacy and robustness of an international standard for AI use in research. The fourth section will review the existing landscape of international standards for AI, the process of international standard development through the International Organization for Standardization (ISO) and other key institutions and organizations that might play a role in an ISO standard for AI in research. The fifth section will detail the essential elements of any ISO standard for AI in research. The final section will provide conclusions and recommendations for institutions to develop the CAN/DGSI 128 standard into an international standard." Great work from Matthew da Mota, Ph.D. at the Centre for International Governance Innovation (CIGI) #AI #AIgovernance 

Most universities face a governance challenge hiding in plain sight: How do you bring together and coordinate your entrepreneurial ecosystem? Research, technology transfer, and entrepreneurship centres are often scattered across different portfolios and reporting lines. Sometimes, tech transfer sits outside as a university-owned subsidiary. Each part may be strong on its own, but without deliberate coordination, the ecosystem as a whole is harder to navigate for researchers, students, and external partners. The University of New England (US) has just taken a step to address this, and while it’s not the answer for everyone, it’s a case study worth considering. UNE has realigned its research and innovation enterprise by: 🔹 Creating the Office of Research and Innovation (signalling that innovation is core to research, not an add-on) 🔹 Bringing the Centre for Innovation and Entrepreneurship under the same umbrella (removing silos while preserving local strengths) 🔹 Coordinating the full continuum from discovery → application → commercialisation 🔹 Making it simpler for students, faculty, and partners to access the whole ecosystem The point isn’t centralisation or uniformity — it’s governance. Strengthening the connective tissue so the ecosystem can flourish: 🔹Researchers have clearer, supported pathways to move ideas forward 🔹Students find opportunities without hitting organisational walls 🔹External partners connect quickly to the right expertise and infrastructure UNE’s approach shows what’s possible when governance is intentional. Every university has to grapple with this in its own way, shaped by its structures, culture, and priorities, but the question they face is the same: How do you align research, entrepreneurship, and commercialisation so they reinforce each other rather than compete for attention? #UniversityGovernance #InnovationEcosystem #Entrepreneurship #ResearchImpact #HigherEducation #TechTransfer #Universities 👉 https://lnkd.in/gxUeTjmN

🔍 What Is a Risk Assessment Methodology? A risk assessment methodology is the structured approach an organization uses to identify, analyze, evaluate, and prioritize risks. It ensures consistent, repeatable assessments across all business areas and is essential for risk-informed decision-making. ⸻ ✅ Core Components of a Risk Assessment Methodology: 1. Risk Identification • Pinpoint what could go wrong (risk events). • Sources: business processes, historical incidents, regulatory changes, third-party risks, IT systems, etc. • Tools: brainstorming, risk checklists, process walkthroughs, SWOT, interviews, PESTLE. 2. Risk Analysis • Determine the likelihood and impact of each risk. • Approaches: • Qualitative (e.g., High/Medium/Low or Heat Maps) • Semi-quantitative (e.g., scoring systems 1–5 for likelihood and impact) • Quantitative (e.g., Monte Carlo, VaR, financial modeling) 3. Risk Evaluation • Compare risk levels to your risk appetite and tolerance thresholds. • Decide which risks are acceptable, and which need treatment or escalation. 4. Risk Prioritization • Rank risks based on their score to allocate resources effectively. • Often visualized in a risk matrix or heat map. 5. Risk Treatment (Optional in Assessment Phase) • Recommend how to handle critical risks: • Avoid • Transfer • Mitigate (via controls) • Accept 📊 Common Methodologies Used: 1️⃣ISO 31000 Framework Emphasizes integration, structure, and continuous improvement in risk management. 2️⃣ COSO ERM Framework Aligns risk with strategy and performance across governance, culture, and objective-setting. 3️⃣ Basel II/III for Financial Risk Used in banking and finance, focusing on credit, market, and operational risk. 4️⃣ NIST Risk Assessment Applied in cybersecurity and federal agencies, emphasizing threats, vulnerabilities, and impacts. 🎯 Best Practices: • Use both inherent and residual risk ratings. • Involve first-line teams for accurate process-level risk input. • Align methodology with risk appetite and strategic objectives. • Document risk criteria (likelihood/impact definitions) clearly. • Update the risk assessment periodically or after significant events.

China Courts Displaced Talent as U.S. Shuts Doors on International Researchers Introduction: A Turning Point in Global Scientific Collaboration As the U.S. tightens immigration and research funding policies—particularly under the Trump administration—China is positioning itself to benefit. With U.S. actions targeting institutions like Harvard and limiting visas for Chinese students, China sees an opportunity to attract top-tier international researchers and bolster its innovation engine. ⸻ Key Developments and Strategic Shifts U.S. Policy Actions Against International Scholars • A federal judge blocked a Trump administration plan that would prevent Harvard from enrolling international students. • The administration also froze billions in research funding for U.S. universities, intensifying legal clashes with institutions like Harvard. • Secretary of State Marco Rubio announced a policy to aggressively revoke visas for many of the 280,000 Chinese students currently studying in the U.S. • International students—who contributed $44 billion to the U.S. economy in 2024—are often vital to university research and finances due to their full-tuition payments. China’s Talent Magnet Strategy • In response, China is proactively seeking to attract the very researchers and students being turned away by the U.S. • By offering advanced lab infrastructure, generous research funding, and fast-tracked visas, China is courting displaced global talent. • Chinese universities and institutions are adapting Western academic models to make their campuses more appealing to foreign researchers. Implications for Higher Education and Innovation • U.S. universities face shrinking research budgets and declining international enrollment, which could erode their global leadership in science and technology. • China’s science and tech ecosystem stands to gain momentum, especially in fields like AI, quantum computing, and biotechnology, where global collaboration is essential. • The shift may alter the global flow of ideas, with long-term consequences for both economic and geopolitical dynamics. ⸻ Why This Matters This moment represents a pivotal redirection of global research talent. By restricting international students and cutting academic funding, the U.S. risks undermining its innovation economy. Meanwhile, China is accelerating efforts to become a scientific superpower by welcoming displaced talent. The long-term impact may redefine which nations lead the next wave of technological breakthroughs—and who gets left behind. Keith King https://lnkd.in/gHPvUttw Arzan Alghanmi

After testing 50+ AI tools, these 8 free options maintain complete academic integrity. Most academics avoid AI completely. They're terrified. But here's what they're missing: Not all AI tools violate integrity. Some actually enhance it. The difference is knowing which ones. Picture this researcher nightmare: You use ChatGPT for literature review. Submit your paper. Editor runs plagiarism detection. Flags AI-generated content. Immediate rejection. Your reputation damaged permanently. After testing every major AI research tool, I found the truth. Eight tools actually improve academic integrity. They help you find better sources. Analyze research more thoroughly. Never generate content for you. The 8 integrity-safe AI research tools: 1. Semantic Scholar - Discovers relevant research papers using AI search - Helps find sources you'd never locate manually - Shows citation context and paper influence 2. Elicit - Assists systematic literature reviews - Extracts key findings from multiple papers - Organizes research themes automatically 3. Research Rabbit - Maps citation networks visually - Reveals research connections and trends - Helps identify influential papers quickly 4. Connected Papers - Creates visual literature landscapes - Shows relationships between studies - Guides research direction discovery 5. Scite - Analyzes how papers cite each other - Distinguishes supporting vs contradicting citations - Improves research quality assessment 6. Litmaps - Visualizes research evolution over time - Tracks how ideas develop chronologically - Identifies research gaps and opportunities 7. Inciteful - Recommends papers based on your interests - Uses AI to suggest relevant literature - Personalizes research discovery process 8. Consensus - Synthesizes evidence across studies - Provides AI-powered research summaries - Helps evaluate scientific consensus The secret successful researchers know: AI can be your research accelerator. Not your content creator. Use it to find and analyze. Never to write or generate. These tools enhance human intelligence. They don't replace it. Help you work smarter. Never compromise your ethics. Your research deserves the best tools available. As long as they maintain your integrity. Which AI research tool will you try first? Save this post. Your research efficiency depends on it. Follow me for more ethical AI strategies that enhance academic work.

𝐖𝐡𝐲 𝐬𝐡𝐨𝐮𝐥𝐝 𝐀𝐋𝐂𝐎𝐀++ 𝐛𝐞 𝐚 𝐡𝐚𝐛𝐢𝐭, 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐚 𝐫𝐮𝐥𝐞? If you’re in pharma or biotech, ALCOA++ is probably second nature to you. But it’s more than just a compliance rule - it’s a way of working that keeps data reliable and trustworthy. We talk about it all the time, but what does it actually look like in real-world scenarios? Let’s look at some real-world examples. 📌 𝐀𝐭𝐭𝐫𝐢𝐛𝐮𝐭𝐚𝐛𝐥𝐞 – Who did what? 🔹 𝐄𝐱𝐚𝐦𝐩𝐥𝐞: A sample analysis is recorded, but without the analyst's initials. Later, an OOS (Out of Specification) result is found. If we don’t know who performed the test, investigating root cause becomes a nightmare! 📌 𝐋𝐞𝐠𝐢𝐛𝐥𝐞 – Can you read it? 🔹 𝐄𝐱𝐚𝐦𝐩𝐥𝐞: Handwritten temperature logs in a cleanroom are smudged and unreadable. When auditors ask for records, nobody can verify whether storage conditions were maintained. 📌 𝐂𝐨𝐧𝐭𝐞𝐦𝐩𝐨𝐫𝐚𝐧𝐞𝐨𝐮𝐬 – Recorded in real-time 🔹 𝐄𝐱𝐚𝐦𝐩𝐥𝐞: A stability study result is noted two days later from memory. Could you recall exact values? Real-time data entry = real credibility. 📌 𝐎𝐫𝐢𝐠𝐢𝐧𝐚𝐥 – The first, unaltered record 🔹 𝐄𝐱𝐚𝐦𝐩𝐥𝐞: A QC analyst re-enters test results in a new sheet after realizing an error. Instead of correcting the original entry with an explanation, they discard the first record. Oops! Major compliance risk. 📌 𝐀𝐜𝐜𝐮𝐫𝐚𝐭𝐞 – No room for errors 🔹 𝐄𝐱𝐚𝐦𝐩𝐥𝐞: An autoclave run is recorded as 121°C for 15 minutes, but the printout shows it only reached 118°C. A small slip, but a huge impact on sterility assurance. 𝐀𝐧𝐝 𝐧𝐨𝐰, 𝐭𝐡𝐞 "++" 𝐩𝐚𝐫𝐭 – 𝐰𝐡𝐞𝐫𝐞 𝐰𝐞 𝐠𝐨 𝐛𝐞𝐲𝐨𝐧𝐝 𝐀𝐋𝐂𝐎𝐀: 📌 Complete – No missing pages, no hidden data 📌 Consistent – Follows a standard, traceable format 📌 Enduring – Stored securely for the required retention period 📌 Available – Accessible for audits and investigations anytime 𝐖𝐡𝐲 𝐝𝐨𝐞𝐬 𝐀𝐋𝐂𝐎𝐀++ 𝐦𝐚𝐭𝐭𝐞𝐫? Because in pharma, "Good enough" isn’t good enough. Patients rely on our integrity. Regulators demand transparency. It’s not just about compliance - it’s about trust. #ALCOA #Dataintegrity #Qualitymanagementsystem #Pharma #QA

The new UK BAC compliance criteria are now starting to bite! The Times Higher Education confirmed that the University of Hertfordshire is the latest higher education institution (HEI) to be placed on a student visa Action Plan. They join a growing list of HEIs under enhanced UK Home Office scrutiny. Including the University of Essex & Glasgow Caledonian University, which were added to the list over the summer & the University of Lancashire, which was put on a six-month action plan approximately one year ago. De Montfort University & Nottingham Trent University were put on action plans at a similar time but have since been taken off & several private or alternative providers are operating under restrictions. The pattern is becoming clear. As we have highlighted before institutions with significant cohorts from Nigeria, Pakistan & Sri Lanka are at the greatest exposure, but no university is immune. At least eight HEI sponsors have been placed on action plans in the past 12 months. Further breaches of sponsor requirements could result in a HEI's licence to enrol international students being revoked. The reputational damage to UK higher education would be immediate & severe. Universities must get ahead of the risk. They must evidence that the majority of their international students return home to successful careers following their UK degree. This directly challenges the misconception that international students add to migration or increase pressure on housing & public services. They do not, the vast majority return home. Compliance is no longer about recruitment, it is about proving outcomes. It is about showing governments, students & families that UK international graduates move into professional roles at home & that a UK degree delivers strong ROI. Asia Careers Group tracks more than 120,000 graduates across China, India, ASEAN, the Gulf & beyond. This longitudinal data shows employability, graduate destinations & average salaries, demonstrating which universities deliver sustained economic value through their alumni. Compliance risk will shape the next phase of UK international education. Universities that can evidence the career impact of their degrees will navigate this environment with confidence. Those that cannot will face escalating risk. Asia Careers Group SDN BHD - Investing in International Futures Jacqui Smith Bridget Phillipson Yvette Cooper MP Shabana Mahmood AGCAS British Council BUILA Department for Business and Trade Department for Education Department for Work and Pensions (DWP) Higher Education Policy Institute Jisc Office for Students UCAS UKCISA Universities Scotland Universities UK Universities UK International Universities Wales https://lnkd.in/eWFnBzim #internationalstudents #highereducation #highered #compliance #ukhe #migration #Nigeria #Pakistan #SriLanka #China #India #ASEAN #ROI #careers #AsiaCareersGroup #internationalgraduateoutcomes

In security management, risk is not a feeling or assumption. It is a measurable and assessable condition that exists when a threat has the potential to exploit a vulnerability and cause harm to an asset. To fully understand risk, we must break it down into its three inseparable components: threat, probability (likelihood), and impact. 1️⃣ Threat: Identifying What Can Go Wrong A threat refers to any potential source of danger that may cause harm to people, property, information, or operations. Threats may be human, technological, or environmental in nature. Examples include criminals, insiders, vandals, terrorists, fire, floods, and system failures. Threat Formula (Conceptual) Threat = Source + Capability + Intent Source – The origin of the threat (internal or external) Capability – The ability of the threat to cause harm Intent – The motivation or willingness to act Practical Scenario A delivery driver who frequently accesses a facility: Source: External individual ✔ Capability: Has access and knowledge of operations ✔ Intent: Unknown ❓ This individual represents a potential threat. Without proper access control and monitoring, the threat can easily escalate into an incident. 2️⃣ Probability (Likelihood): Assessing How Likely It Is to Happen Probability measures the likelihood that a specific threat will occur, considering existing vulnerabilities and control measures. A strong security system reduces probability, while weak controls increase it. Probability Formula Probability = Frequency of Exposure × Vulnerability Frequency of Exposure – How often the asset is accessible Vulnerability – Weaknesses in security controls Practical Scenario Consider a factory gate that: Remains open during shift changes Has no proper visitor screening Lacks CCTV coverage Even if theft has never occurred before, the probability is high because the environment invites exploitation. 3️⃣ Impact: Understanding the Consequences Impact refers to the severity of damage or loss that would occur if the threat materializes. Impact may be tangible or intangible and can affect multiple aspects of an organization. Impact Formula Impact = Asset Value × Severity of Damage Impact may involve: Loss of life or injury Financial loss Damage to reputation Legal liability Operational disruption Practical Scenario The theft of office stationery may have minimal impact, while the theft of company data, fuel, or weapons may cripple operations and damage public trust. 🔴 The Risk Equation: Bringing It All Together Once threat, probability, and impact are analyzed, risk can be calculated. Risk Formula Risk = Threat × Probability × Impact This means: A high threat with low probability may still be manageable A low threat with high probability and high impact can be extremely dangerous follow John Okumu SRMP-C,SRMP-R,CSA® for daily security insights