Current Affairs 21 November 2025
Content Judiciary Cannot Impose Timelines on President/Governor for Bill Assent AI-Driven Transformation of Election Data Analysis in India South Asia’s Transboundary Air Pollution Crisis Over 50% Cases Pending in Juvenile Justice Boards: India Justice Report Second-Generation Wild Cheetah Birth in India: Milestone for Project Cheetah India’s Indigenous CRISPR Gene Therapy Breakthrough: Birsa-101 Mount Semeru Eruption: Why Volcanic Eruptions Occur and Why Some Are Explosive Judiciary Cannot Tie President or Governor to Timelines Why Is It in News? A 5-judge Constitution Bench delivered its opinion on the 16th Presidential Reference. The Court held that: Judiciary cannot impose fixed timelines on the President/Governors for assent to State Bills. Judiciary cannot presume “deemed consent” if they fail to act within a court-mandated deadline. The Court simultaneously criticised “prolonged and evasive inaction” by Governors and the Centre. Relevance GS-2: Polity, Constitution, Governance Federal relations (Centre–State dynamics). Powers & discretion of Governor/President. Doctrine of separation of powers. Judicial review and limits of judicial activism. Article 200–201 interpretation. GS-2: Executive–Legislature Relations Impact of delayed assent on State legislative functioning. GS-2: Constitutional Bodies Presidential Reference jurisdiction under Art. 143. Constitutional Provisions on Assent to Bills Articles Involved Art. 200: Governor’s options on State Bills— • Assent • Withhold assent • Return for reconsideration • Reserve for President Art. 201: President’s options— • Assent • Withhold assent • Return (if not a Money Bill) No explicit time limit in Constitution for either office to act. Principle of Constitutional Morality Offices must act “within a reasonable time” as part of constitutional trust. What Triggered the Presidential Reference? Growing friction between Opposition-ruled States and Governors. Allegations of: Bills being kept pending for months/years. Governors reserving Bills excessively for the President. High Courts (notably Madras HC) began discussing soft timelines. Union Government sought clarity via Presidential Reference. Supreme Court’s Key Findings A. Judiciary cannot prescribe hard timelines Timelines imposed by courts are “one-size-fits-all” and violate: Separation of Powers (basic structure). Explicit constitutional design of discretionary spaces for constitutional heads. B. No “deemed consent” at expiry of timelines Courts cannot assume assent if deadlines lapse. Such assumption = judiciary usurping constitutional functions. C. But constitutional heads cannot sit indefinitely Court strongly criticised “prolonged and evasive inaction” by Governors/President. Observed: Constitutional heads must record reasons, avoid indefinite delay. Inaction cannot be used as a political veto. D. Presidential Reference is NOT an “appeal in disguise” Some States argued the Centre used this as an appeal against unfavourable HC rulings. SC held: Advisory opinions can correct or clarify the law. Not bound by lower court decisions. Constitutional Overview A. Doctrine of Separation of Powers (cited by Court) Cites Kesavananda Bharati, Indira Gandhi, Puttaswamy. Judiciary cannot intrude into executive discretion of constitutional offices. B. Federal Balance Constitution assigns the Governor a limited discretionary role, not a political one. Indefinite delays threaten: Basic federalism (S.R. Bommai, Nabam Rebia). Legislative autonomy of States. C. Reasonableness Standard Though no timelines prescribed, Court implies: “Reasonable time” must be context-specific. Non-action is reviewable if it becomes arbitrary or mala fide. Related Case Law Nabam Rebia (2016): Governor cannot interfere with legislative process except where Constitution permits. Shamsher Singh (1974): Governor acts on aid & advice, except in limited areas. Rameshwar Prasad (2006): Discretion subject to judicial review if mala fide. Implications for Centre–State Relations Positive Reaffirms judicial restraint. Avoids courts overriding federal constitutional design. Concerns Gives administrative space for Governors to delay Bills. States fear misuse in politically sensitive Bills. Net Effect A balanced but status-quo reinforcing opinion: No mandatory deadlines. Strong moral-constitutional rebuke of delays. Election Data Analysis: From the Dark Ages to the AI Era Why Is It in News? The Article published a reflective analysis on how election-related data journalism evolved from manual scraping in 2017 to full AI-driven code generation during the 2025 Bihar Assembly elections. Marks a technological inflection point: • Entire election-night mapping, charting, and analysis produced using AI-generated scripts. • Demonstrates how AI reshapes media workflows without replacing journalists. Raises policy questions on data access, algorithmic transparency, media ethics, and election integrity. Relevance GS-2: Governance Transparency in electoral information. Role of technology in elections. Data access, public accountability. GS-3: Science & Tech AI adoption in public communication. Algorithmic governance & data systems. GS-3: Cybersecurity Risks of automated misinformation. Need for secure election data pipelines. What Is Election Data Analysis? Systematic extraction, cleaning, mapping, and interpretation of election results & political patterns. Core components: • Scraping live results from Election Commission. • Constituency-level mapping. • Vote-share/swing calculations. • Trend/seat projections. • Visualisations for public communication. Pre-2017 “Dark Ages” – Manual & Slow A. Manual Data Scraping Live results had to be copied/scraped manually. Slow scraping due to: • Limited coding skills. • Unstable ECI website structure. Results flowed like “water droplets” into spreadsheets. B. Mapping Challenges Tools used: Google Fusion Tables, Indiemapper.io. Manual KML boundaries, manual colour-coding. Duplication of effort for colour and monochrome print versions. C. Charting Copy-pasting data → Excel → pivot tables → charts. High human dependency & narrow deadlines. 2017–2019: Transition to “Industrial Tools” Key Shifts Tableau adopted for mapping → reduced processing time. Faster scripts due to communities like Stack Exchange. Partial automation in Google Sheets (formulae, scripts). Enabled simultaneous print + web coverage. Limitations Heavy manual interventions required. Tools remained fragmented (separate for maps, charts, tables). 2019–2024: The Industrial Revolution Characteristics Heavy machinery, faster workflows. Automated formula pipelines. More realtime analysis, especially during 2019 and 2023 elections. Still required: • Script debugging • Cross-tool integration • Designer intervention for visuals 2025 Bihar Assembly Election – The AI Era A. AI-Generated Code Google AI Studio generated mapping + scraping + visualization scripts. JupyterLab executed AI-written pipelines. No need for: • Tableau • Excel pivot tables • Mapping software • Manual charting tools B. What AI Automated Live data ingestion Data cleaning & transformation Charting (auto-generated) Geo-mapping Statistical summaries First-draft insights C. Output Gains Faster online analysis. Backend + frontend automation for livestreams. Print edition wrapped up by 10:30 PM (earlier than ever). Why AI Didn’t Replace Journalists Core Functions Still Human Interpretation of trends. Identifying misleading patterns. Contextualising swings, alliances, caste shifts. Writing coherent narratives. Editorial judgement and ethics. The Principle AI accelerates production; journalists give meaning. Deeper Analysis: Impact on Indian Democracy & Media A. Strengthening Public Information Faster dissemination → more informed electorate. Real-time mapping exposes micro-trends (regional, demographic). B. Risks Data quality vulnerability: Errors in source data propagate quickly. Algorithmic opacity: AI-generated code may be non-auditable. Deepfake + misinformation risks if AI visualisations are misused. Over-automation reduces cross-verification, increasing error probability. C. Digital Divide Smaller media houses without AI capability may be disadvantaged. Structural Issues Highlighted A. Election Commission Website Historically inconsistent formats, unstructured HTML. High friction for scraping. Need for open APIs, standardised data formats. B. Dependence on External Tools Shift from proprietary tools (Tableau) → open-source + AI pipelines. Greater technological sovereignty for newsrooms. Implications for Future Elections AI-native election rooms become standard. Hybrid workflows: AI for computation, humans for interpretation. Increasing demand for: • Data journalists • Policy-aware technologists • Election-law literate analysts Sets the stage for predictive analysis, probabilistic modelling like U.S. outlets (538 model equivalents for India). South Asia’s Air Pollution Crisis Why Is It in News? North India and eastern/northern Pakistan experienced an extreme cross-border smog episode in Nov 2024, popularly termed the “2024 India–Pakistan Smog”. Delhi and Lahore recorded among the highest AQI readings globally, with “brown clouds” visible in satellite images. The episode re-opened debates on regional airshed management, cross-border pollution flows, and South Asia’s anthropogenic emissions crisis. Relevance renewed in 2025 as Delhi and Lahore again top global pollution charts. Relevance GS-1: Geography & Society Transboundary environmental phenomena. Urbanisation impacts. GS-2: Governance Inter-governmental coordination, regulatory institutions (CAQM). Cross-border environmental diplomacy. GS-3: Environment Air pollution, climate change, anthropogenic emissions. Reports: Greenpeace 2023, WHO AQG 2021, UNEP 2023. Economic impacts of pollution. What Was the 2024 India–Pakistan Smog? A severe, transboundary pollution event across: • Eastern & northern Pakistan (esp. Lahore) • North India (Delhi NCR, Punjab, Haryana, UP) Visible as brown aerosol clouds in satellite imagery. Triggered by a convergence of: Low wind speeds → pollutant stagnation Post-harvest biomass burning across Punjab–Haryana–Punjab (Pakistan) belt Industrial emissions Vehicular exhaust accumulation Winter inversion layers trapping pollutants Winds shifted from Pakistan towards Delhi, worsening Delhi’s AQI. How Has Air Pollution Become Rampant Across South Asia? A. Shared Meteorology Indo-Gangetic Plain behaves as a single airshed. Winter inversion + low dispersion + high humidity increases PM2.5 concentration. B. High Anthropogenic Emissions Pakistan: crop-burning, brick kilns, industrial clusters near Lahore. India: vehicles, industries, solid fuel, construction, crop burning. Bangladesh: brick kilns, diesel generators, transport. Nepal: valley trapping effect in Kathmandu. C. Rapid Urbanisation + Weak Governance Poor public transport, land-use mismanagement, unregulated construction, and old diesel fleets. D. Climate Change Feedback Loop Heatwaves → increased ozone formation. Erratic winds → stagnant air pockets. E. Political–Administrative Fragmentation No formal regional clean air treaty despite identical airshed. What Does the Greenpeace 2023 World Air Quality Report State? Core Findings for South Asia World’s most polluted region, with PM2.5 levels exceeding WHO standards by 7–10 times. Key drivers: Industrial emissions (steel, cement, brick kilns). Vehicular emissions. Burning of solid fuels (biomass, crop residue, waste). Coal-based power generation. Pakistan, India, Bangladesh, Nepal dominate list of most polluted countries/cities. Notes lack of coordinated regional action despite shared geography. Economic Impact of Deteriorating AQI Levels in India A. Direct Economic Loss Lancet Journal (2019): India’s GDP fell by 1.36% due to premature morbidity & mortality. Other estimates: 3% of GDP lost due to healthcare costs + lost labour productivity. India loses ~8.5 lakh lives annually from air pollution (IHME data context). B. Labour Productivity Decline Fatigue, respiratory illness → lower work hours. Outdoor workforce (construction, transport) hit hardest. C. Healthcare Burden Escalating treatment of asthma, COPD, cardiovascular diseases. D. Impact on Investment & Tourism Pollution deters FDI inflow in key cities. Reduced tourist footfall during peak winter season. E. Agriculture & Climate Impact Pollution-induced dim sunlight (global dimming) → reduced crop yields. Ozone exposure damages staples: wheat, rice, pulses. Way Ahead A. Regional Airshed Governance (Key Recommendation) Adopt a South Asian cross-border airshed management framework. Model: California’s Bay Area Air Quality Management District or ASEAN Transboundary Haze Agreement. IIT Bhubaneswar’s study supports “airshed-scale” governance. B. Strengthen Domestic Governance Move from episodic GRAP responses → to permanent emission-reduction plans. Mandate 24×7 industrial monitoring, strict action on non-compliant units. C. Sectoral Reforms Agriculture: • MSP-linked crop diversification • In-situ residue management (Happy seeder incentives) Transport: • Electrification • Bus fleet expansion • Non-motorised mobility Urban Planning: • Greening, heat-island mitigation, dust control • Construction regulation Energy: • Phase-down of coal • Scale rooftop solar + clean cooking fuel D. Data, Science, Monitoring Real-time satellite-based emission tracking. Unified Air Quality Data Portal for South Asia. E. Political Will & Social Model A “caring human development model” prioritising health, workers, farmers, and urban poor. Over 50% Cases Pending in Juvenile Justice Boards (JJBs): India Justice Report Why Is It in News? India Justice Report (IJR) released a dedicated study on capacity and performance of Juvenile Justice Boards (JJBs)—first such national-level, empirical assessment. Found 55% pendency, severe vacancies, weak data architecture, and institutional incapacity despite a decade of the JJ Act, 2015. Justice Madan B. Lokur called the findings “deeply worrying”, highlighting systemic neglect. Relevance GS-2: Governance, Vulnerable Sections Systemic failure in delivering justice to minors. GS-2: Judiciary Pendency, quasi-judicial bodies, institutional delays. What Are JJBs? Created under Juvenile Justice (Care & Protection) Act, 2015 to handle cases of Children in Conflict with Law (CICL). Mandated composition: 1 Judicial Magistrate (First Class) 2 Social Workers (at least one woman) Philosophy: Child-friendly inquiry Rehabilitation > Punishment Speedy resolution (within 4 months, ideally) Key Data (India Justice Report 2023) Pendency 55% of 1,00,904 cases pending (as of Oct 31, 2023). State variation: Odisha: 83% pendency Karnataka: 35% pendency 154 cases pending per JJB annually on average. Vacancies & Institutional Weakness 24% JJBs not fully constituted → breaks statutory requirement. Staff shortages in Child Care Institutions (CCIs): counsellors, probation officers, house parents. 30% JJBs lack Legal Services Clinics → affects access to representation. Weak Data Governance No NJDG-like centralised data portal for JJBs. From 250+ RTI filings: 11% rejected 24% no response 29% transferred Only 36% valid responses Reveals poor transparency and weak record-handling culture. Inter-agency Coordination Failures Weak linkage among: Police → JJB District Child Protection Units CCIs Child Welfare Committees Delays in Social Investigation Reports and counselling assessments. Why the System is Failing ? Underfunding of juvenile justice mechanisms. Lack of trained personnel → high turnover of social workers. Weak monitoring by State Child Protection Societies. Policing-oriented mindset, not child-centric. Poor infrastructure, digitalisation, reporting. Impact Delays compromise: Child rehabilitation Schooling, social reintegration Rights under Article 21 Prolonged detention increases: Trauma Risk of repeat offending Institutionalisation effects Way Forward Fill vacancies, professionalise cadre of social workers. National data grid for JJBs. Independent performance audits. Adequate funding for CCIs, mental health support. Mandatory training for JJB members. Strengthening convergence with DCPUs, CWCs, and legal aid bodies. Indian-born Cheetah Mukhi Gives Birth to Five Cubs – Milestone for Project Cheetah Why Is It in News? At Kuno National Park (MP), Mukhi, the first India-born female cheetah, has given birth to five cubs. First instance of second-generation wild breeding in India post-reintroduction. Raises total cheetah population to 32, including 21 India-born. Termed a breakthrough by Union Environment Ministry for proving ecological adaptation. Relevance GS-3 (Environment & Biodiversity) Species reintroduction, ecological restoration. GS-3 (Conservation Governance) Role of NTCA, scientific protocols. GS-3 (Science & Tech) Animal telemetry, habitat modelling. Project Cheetah Launched 2022 for reintroduction of cheetahs from Namibia & South Africa. Objective: Establish self-sustaining, genetically diverse cheetah metapopulations. Restore open forest–savannah landscapes. Managed by: NTCA WII State Forest Departments Why Mukhi’s Birth Is Historically Significant A. First India-born cheetah to reproduce Establishes evidence of successful biological integration of reintroduced cheetahs. B. Proof of suitability of Indian habitats Indicates: Sufficient prey base Acceptable predator competition Healthy adaptation cycle C. Wild reproduction despite early adversity Mukhi was: Born to Namibian cheetah Jwala (2023) Abandoned at birth Hand-raised by Kuno staff Later rewilded successfully Demonstrates adaptive success of human-assisted rearing + wild integration. Population Update Total cheetahs: 32 29 in Kuno 3 in Gandhi Sagar Wildlife Sanctuary 21 are India-born → large F1 generation emerging. Scientific and Conservation Significance A. Genetic viability Second-generation births critical for: Genetic mixing Minimising founder-effect bottlenecks Stability of future populations B. Behavioural adaptation Shows: Successful hunting skills Reproductive acceptance Habitat fidelity C. Indicator of ecological restoration Cheetahs returning to Indian landscapes after 70+ years (extinct since 1952). Challenges still present Mortality among translocated cheetahs. Kuno’s limited carrying capacity (approx. 20–21 adults). Need for multiple cheetah landscapes (Gandhi Sagar, Nauradehi, Mukundra Hills). Radio-collar issues. Potential human–wildlife conflict. Way Forward Diversify release sites to prevent overcrowding in Kuno. Strengthen veterinary and monitoring teams. Improve prey base and grassland restoration. Scientific population management (genetic mapping, soft-release protocols). Community engagement to prevent conflict. Indigenous Gene Editing Tool (Birsa-101) Why Is It in News? CSIR-IGIB (Institute of Genomics & Integrative Biology) has developed India’s first fully indigenous CRISPR-Cas9–based gene editing platform. Technology transferred to Serum Institute of India (SII) for Phase II–III clinical trials. Using this platform, IGIB developed a curative gene therapy for sickle cell disease (SCD) named Birsa-101 (after Birsa Munda, as SCD is highly prevalent among tribal communities). Expected to be significantly cheaper than the US-approved gene therapy Casgevy (USD 2.2 million per patient). Phase I trials will be conducted with AIIMS Delhi; manufacturing facility already set up. Relevance GS-2 (Health, Governance) National SCD Elimination Mission. Inclusive tribal health policy. GS-3 (Science & Technology) Biotechnology, genetic engineering, indigenous R&D. CRISPR applications and ethical concerns. GS-1 (Society) Tribal health challenges. Disease burden in vulnerable populations. What Is Sickle Cell Disease (SCD)? Inherited blood disorder caused by mutation in the HBB gene → defective haemoglobin (HbS). Results in: Rigid, sickle-shaped RBCs Blocked blood vessels Pain crises, anaemia, organ failure Infections, stroke risk India’s tribal belts in MP, Chhattisgarh, Jharkhand, Odisha, Maharashtra, Gujarat have highest burden. Basics of CRISPR-Cas9 Gene Editing What is CRISPR-Cas9? A bacterial immune-system protein that acts as “genetic scissors”. Precisely cuts specific DNA segments → allows correction of disease-causing mutations. Awarded the 2020 Nobel Prize for Chemistry. Indian Improvement IGIB scientists created an indigenous Cas9 variant (2016): Avoids expensive Western IP. Optimised for reduced off-target effects (major global concern). Allows editing exactly at the mutation site (curative edit). What Is Birsa-101 Gene Therapy? Mechanism Directly corrects the defective mutation in HBB gene. One-time infusion of edited stem cells. Once corrected, the body begins producing normal haemoglobin. How it differs from Casgevy (US therapy) Feature Birsa-101 (India) Casgevy (US/UK) Strategy Corrects the original mutation Increases fetal haemoglobin (HbF) to bypass defect Technology Indigenous CRISPR-Cas9 Licensed CRISPR tech (very expensive) Cost Expected to be fraction of $2.2 million $2.2 million per patient Long-term effect Potential cure Functional cure but mechanism bypasses root cause Why Is This a Major Scientific Breakthrough? A. Complete Indigenous Development All patents held by Indian scientists. Avoids global IP licensing → drastically lower cost → scalable for India’s tribal SCD mission. B. Addresses a Major Public Health Challenge SCD affects: ~1 in 86 births in certain tribal districts. 10–11% carrier prevalence in many Adivasi populations. Aligned with National Mission to Eliminate Sickle Cell Anaemia (2023–2030). C. Global-Standard Gene Editing Platform India becomes one of very few countries with: Own CRISPR tool Own clinical-grade manufacturing Capability for gene-editing therapy trials D. Reduced “Off-Target” Risk IGIB Cas9 engineered to minimise unintended edits: Off-target mutations can cause cancer, developmental defects, organ damage. Many global Cas9 variants unsuitable for therapy due to unpredictable cuts. What Happens Next? Clinical Pathway Phase I trials (AIIMS Delhi, 2025) → safety, dosing. Phase II–III trials (Serum Institute) → efficacy, scalability. Regulatory review by CDSCO + DBT + ICMR. Integration into national SCD elimination programme after approval. Industrial Pathway IGIB already built GMP-grade manufacturing for clinical batches. SII to scale production for national deployment after Phase I. Wider Scientific Significance Positions India in the global gene therapy market (currently dominated by US/EU). Opens doors for editing therapies for: Thalassemia Gaucher’s disease Duchenne muscular dystrophy Rare genetic disorders (India has 70M affected) Establishes a sovereign biotechnological ecosystem: Indigenous gene-editing IP Indigenous manufacturing Indigenous clinical trial pipeline Challenges Ahead Ensuring long-term safety (off-target monitoring for years). Cost reduction for mass rollout in rural tribal belts. Infrastructure for genetic testing, counselling, and follow-up. Ethical and regulatory oversight for gene editing. Mount Semeru Eruption Why is it in News? Mount Semeru, one of Indonesia’s most active volcanoes, erupted again on Wednesday, releasing ash clouds, pyroclastic flows, and volcanic debris. Located in Java, Semeru is part of the Pacific “Ring of Fire,” making it prone to frequent eruptions. The eruption renewed concerns over Indonesia’s high volcanic risk, evacuation readiness, and the science behind explosive eruptions. Relevance GS1 (Geography): Physical geography, volcanism, tectonic processes. GS3 (Disaster Management): Hazard assessment, early warning, mitigation. What causes volcanic eruptions? Heat inside Earth melts rocks into magma in the mantle. Magma is lighter than surrounding solid rock → rises through cracks. It accumulates in magma chambers beneath volcanoes. As more magma enters the chamber, pressure builds. When pressure > strength of the overlying rock → magma forces its way out through vents. Once it reaches the surface, it is called lava. Why are some eruptions explosive and others gentle? a) Low-viscosity magma (runny/thin) → Gentle eruptions Basalt-rich, low silica. Gases escape easily → low pressure buildup. Produces lava flows (e.g., Hawai’i volcanoes). b) High-viscosity magma (thick/sticky) → Explosive eruptions Andesitic/rhyolitic, high silica. Traps gases → enormous pressure builds. Sudden release = explosive eruption, throwing ash, pumice, tephra. Produces pyroclastic flows (like Semeru). Why Semeru is so explosive? High-silica magma → very viscous. Closed conduit system traps gases effectively. Located on a subduction zone (Indo-Australian plate under Eurasian plate), which naturally produces gas-rich, sticky magma. Generates deadly pyroclastic flows, ash columns, lahars. Indonesia’s Volcanic Vulnerability Sits on the Ring of Fire with 120+ active volcanoes. Subduction of tectonic plates produces high-pressure volcanic systems. Dense population on volcanic slopes increases risks. Overview A. Causes of volcanic eruptions Mantle convection & heat → melting of rocks. Buoyancy of magma → upward movement. Gas pressure in magma chambers. Weak zones / fractures created by tectonic movements. B. Types of volcanic eruptions Effusive (Hawaii-like) – lava flows, low danger. Explosive (Semeru, Krakatoa) – ash columns, pyroclastic flows. Phreatomagmatic – interaction with water increases explosivity. C. Hazard profile of explosive eruptions Pyroclastic density currents: fastest and deadliest. Ash clouds: aviation risk, respiratory hazards. Lahars: volcanic mudflows; long-term destruction. Climate impacts: large eruptions can inject aerosols → global cooling. D. Why some volcanoes erupt repeatedly Constant magma supply due to subduction tectonics. Structural weakness of volcanic conduits. Recharge of magma chambers over time.