Nature Portfolio–aligned “Information Systems + IT” perspective, especially if you frame AI/ML not merely as business automation but as infrastructure for information discovery, prediction, risk management, and decision-making.

 

This is a strong direction for a 2026 Nature Portfolio–aligned “Information Systems + IT” perspective, especially if you frame AI/ML not merely as business automation but as infrastructure for information discovery, prediction, risk management, and decision-making.

A useful conceptual model is:

Data → Algorithms → Information Systems → Decisions → Economic/Societal Outcomes

How the technologies fit together

• AI/ML models: Transform large datasets into predictions, classifications, recommendations, and automated decisions.

• Graph networks: Reveal relationships among people, organizations, transactions, locations, events, and digital entities—particularly valuable for fraud, financial crime, supply chains, and systemic-risk analysis.

• NLP for news: Converts unstructured news and public information into machine-readable signals such as topics, sentiment, events, narratives, and emerging risks.

• Predictive models: Estimate future demand, credit risk, market conditions, operational failures, cyber threats, and other outcomes.

• Fraud detection: Combines behavioral analytics, anomaly detection, graph methods, and machine learning to identify suspicious activity.

• Geospatial risk mapping: Connects AI predictions with geographic information to visualize exposure to climate, infrastructure, supply-chain, demographic, or financial risks.

Global effects

The important point is that these technologies can create second-order effects. A predictive model may change a bank's lending decisions; those decisions can affect household credit, business investment, employment, and ultimately regional economic growth. Similarly, AI-based news analysis can influence investors, while geospatial risk models can alter insurance pricing, infrastructure investment, and disaster preparedness.

This creates both opportunity and risk:

Potential benefits

• Faster and more informed decision-making

• Earlier detection of financial and operational risks

• More efficient allocation of capital

• Improved fraud prevention

• Better disaster and climate-risk preparedness

• More responsive public services

• Personalized digital services

• Increased productivity and innovation

Potential risks

• Algorithmic bias and discrimination

• False positives in fraud detection

• Model hallucination or unreliable predictions

• Privacy and surveillance concerns

• Cybersecurity vulnerabilities

• Concentration of technological power

• Feedback loops in financial markets

• Overreliance on automated decisions

• Lack of explainability

• Unequal access to advanced technology

The “Information Systems + IT” connection

For an academic or professional article, I would distinguish AI models from the information systems that operationalize them.

The model itself is only one component. A real-world AI system also requires:

Data infrastructure → data governance → model development → IT infrastructure → information system → human decision-maker → monitoring and feedback

That distinction makes the argument considerably stronger. It moves the discussion from “AI is powerful” toward the more meaningful question:

How does the deployment of AI-enabled information systems change economic, organizational, financial, and societal outcomes?

For your larger DR. R. P. Sinha series, this could become a dedicated section titled:

“Global Effects of Advanced Technology and Algorithms: AI/ML, Graph Networks, NLP, Predictive Intelligence, Fraud Detection, and Geospatial Risk Mapping.”

It would fit naturally after the 101 emerging impacts and provide a more research-oriented bridge between AI deployment, Information Systems, IT, financial growth, digital transformation, and global economic resilience.

Top 10 Environmental Technologies driving transformative change on Earth

Top 10 Environmental Technologies driving transformative change on Earth

 The environmental technology landscape has shifted from experimental concepts to high-impact deployment. As energy demands soar alongside global climate pressure, environmental tech is prioritizing efficiency, resilience, and industrial-scale impact.

Here are the Top 10 Environmental Technologies driving transformative change on Earth:

1. Direct Lithium Extraction (DLE)

• The Breakthrough: Traditional lithium mining relies on massive, water-intensive evaporation ponds that can take up to two years to process. DLE uses engineered sorbents and membranes to extract lithium from brine and geothermal fluids in a matter of hours, returning filtered water back underground.
  
  
• Impact: Drastically reduces land degradation and water depletion while supplying the critical battery minerals required for global electrification.
  
  

2. Advanced PFAS Destruction Methods

• The Breakthrough: Per- and polyfluoroalkyl substances ("forever chemicals") are notoriously difficult to eliminate due to their near-indestructible carbon-fluorine bonds. Emerging commercial tech utilizes supercritical water oxidation (SCWO), UV-catalyzed reactions, and electro-chemical breakdown to destroy 99.99% of PFAS molecules.
  
  
• Impact: Eliminates persistent toxins from municipal water supplies and industrial runoff, replacing containment with true environmental cleanup.
  
  

3. Everything-to-Grid (V2G & Distributed Storage)

• The Breakthrough: Instead of firing up dirty peaker plants during peak evening energy hours, smart grid platforms mobilize distributed assets—such as idle electric vehicles, commercial battery walls, and data center backups—to feed stored clean electricity back into the main grid.
  
  
• Impact: Stabilizes renewable energy grids, prevents blackout events, and dramatically reduces fossil fuel reliance during high-demand hours.
  
  

4. Passive Radiative Cooling Coatings

• The Breakthrough: Advanced paints, films, and building materials designed to reflect over 95% of incoming sunlight while radiating heat directly into deep space via infrared wavelengths.
  
  
• Impact: Cools structures below ambient temperature without consuming electricity, cutting air conditioning energy consumption by up to 20% in urban heat islands.
  
  

5. AI-Driven Smart Grid Orchestration

• The Breakthrough: With energy demand surging from data centers and artificial intelligence, power grids are balancing volatile renewable supply with unprecedented load spikes. AI models predict localized solar/wind output, monitor infrastructure stress in real time, and dynamically manage energy distribution.
  
  
• Impact: Prevents power grid failures and maximizes the absorption of clean energy into traditional transmission lines.
  
  

6. Long-Duration Iron-Air & Sodium-Ion Energy Storage

• The Breakthrough: Moving beyond standard lithium-ion, next-generation battery chemistries—such as sodium-ion and multi-day iron-air oxidation systems—utilize abundant, non-toxic, earth-abundant materials.
  
  
• Impact: Provides low-cost, grid-scale energy storage capable of backing up solar and wind farms for multiple days, making renewable grids reliable through extended weather lulls.
  
  

7. Direct Air Capture (DAC) with Mineralization

• The Breakthrough: DAC systems capture atmospheric $\text{CO}_2$ and inject it into deep basalt rock formations, where chemical reactions naturally transform the gas into permanent solid stone within two years.
  
  
• Impact: Delivers permanent, audit-verifiable carbon removal rather than temporary storage offset credits.
  
  

8. Precision Fermentation & Cellular Agriculture

• The Breakthrough: Industrial bioreactors culture specific proteins, lipids, and dairy-identical compounds directly using micro-organisms—eliminating the need to raise livestock.
  
  
• Impact: Cuts agricultural methane emissions, frees up millions of acres of arable land for rewilding, and slashes water footprint in food production.
  
  

9. Small Modular Reactors (SMRs) & Advanced Fission

• The Breakthrough: Factory-fabricated nuclear reactors that can be deployed faster and cheaper than traditional megastructures, equipped with passive safety systems that shut down automatically without human intervention or backup power.
  
  
• Impact: Delivers continuous, zero-carbon baseload electricity directly to heavy industrial hubs, desalting plants, and high-demand data centers.
  
  

10. Autonomous Precision Agriculture & AI Water Management

• The Breakthrough: Sub-surface IoT sensors paired with autonomous field robotics and satellite imaging monitor crop health, soil nitrogen levels, and moisture down to individual plants.
  
  
• Impact: Cuts commercial fertilizer runoff, reduces agricultural water waste by up to 50%, and prevents topsoil degradation.

  

  
  

Core Trend Comparison

Technology Category	Primary Environmental Problem Solved	Key Operational Shift
Grid Resilience & Storage	Peak fossil fuel reliance & grid instability	Mobilizes localized, distributed assets into a dynamic grid
Toxin & Material Removal	Forever chemicals (PFAS) & mining destruction	Moves from containment to molecular destruction & fast extraction
Passive Efficiency	High cooling & industrial energy demand	Uses materials science to lower energy input needs natively