AI will reorganise science. Will research remain a human enterprise? A coevolutionary AI loop of "epistemic autophagy" may emerge where machine-generated studies are increasingly judged by AI evaluators and then used to train future models. www.pnas.org/doi/10....

New Responsible Research with AI (RRAI) framework, an extension of the Responsible Research and Innovation #RRI tradition; 3 mechanisms of divergence between private and social returns, 4 principles that operate at different levels of the research system arxiv.org/pdf/2607.2...

Theorizing societal impact of research. A theory of change for societal impact of research with explicated assumptions academic.oup.com/rev... doi.org/10.1093/rese...

A Conceptual Framework for Outcome-Based Impact Assessment of Responsible Management Education (PRME) effectiveness across educational, career, organisational, and societal dimensions. osf.io/preprints/soc...

Preparing Business Professionals for AI-Enabled Future: An Outline for AI for Business Competency Framework for business schools for new educational offerings, enabling graduates in the development, deployment, and use of AI solutions in business aisel.aisnet.org/cgi...

The decline of research productivity? Hindering factors, remedies and the role of open science. A lens to understand the mechanisms affecting research productivity, and the conditions under which they operate. doi.org/10.1080/1043...

Are academics publishing too much? With AI tools, quality control mechanisms and peer review are buckling under the weight of submissions. Muhammad Aamir Cheema argues it is possible and desirable for academics to publish less.

As AI writing proliferates academics should publish less - LSE Impact

AI tools have accelerated the production of academic writing to the point where quality control mechanisms and peer review are buckling under the weight of submissions. Muhammad Aamir Cheema argues…

blogs.lse.ac.uk

Societal Impact Demands-Resources-Meaning (SI-DRM) framework: explaining how well-intentioned initiatives may unintentionally undermine faculty capacity 3 Pathways: I Role demand overload II Meaning-driven overinvestment III Resource-buffered engagement doi.org/10.1080/0883...

Judges matter more than papers in post-publication research assessment; judge-related effects account for substantially more variance in ratings than the evaluated papers, demonstrating the necessity of noise audits in high-stakes scientific evaluation. arxiv.org/pdf/2607.0...

Stanford Digital Economy Lab / July 13, 2026 “We Must Act Now”: Sixteen Nobel Laureates Join Leading Economists and AI Researchers in Call to Prepare for AI’s Economic Transformation digitaleconomy.stanf... http://wemustactnow.ai/

New tools drive scientific discovery: evidence from all nobel-prize and major non-nobel breakthroughs. Wonderful long views on the science system: For example the 10 most common methods and tools used to make discoveries in each field, 1900 to 2022 doi.org/10.1057/s415...

Discovery tools: How powerful new scientific methods and instruments emerge and catalyze innovation; Scientific table of methods: a taxonomy of science’s methods and tools—by type, purpose, interdisciplinary scope, and cognitive demand. doi.org/10.1093/pnas...

Uncovering 6 drivers and 5 scenarios for the future of management education and research doi.org/10.1111/emre...

Aligning Business Education with Workforce Demands: A Comparative Analysis of Emerging Workforce Competencies and Business School Competency Frameworks journalajeba.com/ind...

Economic Evaluations of Language Models. Introducing ECONEVALS as an open-source evaluation suite to measure capabilities relevant to tasks, work activities, and occupations in the labor economy. www.econevals.com/Ec...

Includes a flag to show if it is an indicator of actual impact or just the pathway (mixing up impact and pathway is of course one of the weaknesses of the frameworks it draws upon). Thanks for putting in the work to make this possible @wmijnhardt.bsky.social! impactcodex.netlify.app

Wilfred Mijnhardt has combined 20 different impact evaluation frameworks used by Universities and Business Schools internationally to create this codex - a really useful source of ideas for measurable impacts you can plan for or evaluate across a range of categories...

2026 AI Inflection Point. The Preliminary Report of the UN Independent International Scientific Panel on AI: Evidence-based assessment of opportunities, risks and impacts of AI is. Preparing the stage for the Global Dialogue on AI Governance, July 2026 www.un.org/independe...

Advancing the social impact of business schools: A Mission-Aligned Research Framework consists of six sequential components, developing structural support for mission-aligned research and measuring social impact of mission-aligned research. doi.org/10.1108/JSIB...

Designing societal impacting architectures for business schools: an architecture to deliberately design, implement and refine frameworks that incentivize, measure and reward the societal contributions of business researchers and educators. doi.org/10.1108/JSIB...

The future of social impact in business schools; a conceptual framework for incentivising, measuring and rewarding social impact in business schools organised around strategy, initiatives, resources and culture, alongside risks to avoid. doi.org/10.1108/JSIB...

Mental health in business school academics; Opportunities for future research. doi:10.1017/jmo.2026.10105

From Inference to Prediction: How Machine Learning is Reconfiguring Science (1990-2025); This map visualises the distribution of all 255 machine learning techniques across the scientific landscape arxiv.org/abs/2606.2... arxiv.org/pdf/2606.2...

Very inspiring: High-growth Institutional Entrepreneurship in Africa: What AI does and does not tell you. papers.ssrn.com/sol3...

Scholarship reimagined: creating the DARSHE framework (Description of Activities Relating to Scholarship in Higher Education), an inclusive and flexible framework for developing scholarship in higher education link.springer.com/co...

Towards Ethical AI Adoption in Academic Research: Taxonomy of AI ethics tools and their research applications. Adoption of responsible AI in research will require stronger institutional policies, cross-disciplinary frameworks, and practical ethics tools. doi.org/10.1609/aaai...

An assessment of progress in reforming research assessment under the Agreement on Reforming Research Assessment (ARRA), as implemented by signatories - many of whom are members of the Coalition for Advancing Research Assessment (CoARA). op.europa.eu/s/Aixb

Who is relevant to engage in environmental decision-making processes by interests, influence and impact: The 3i framework doi.org/10.1016/j.je...

Lost in transmission: Knowledge, academia and the origins of design thinking doi.org/10.1016/j.ji...

Rethinking the language that many governments, funders and institutions use to frame, understand, and train researchers to assess research impact. Examples: from "planning" to "navigating", from "theories of change" to "practice of change" doi.org/10.1093/rese...