Category: POLITY
Context: The Union Cabinet has approved the Multidisciplinary Education and Research Improvement in Technical Education (MERITE) Scheme.
Key Features
Objectives & Benefits
Implementation
Administered by a central nodal agency under the Ministry of Education in collaboration with states/UTs, AICTE, NBA, IITs, and IIMs.
Learning Corner:
Schemes on Higher Education – India
Scheme / Initiative | Ministry / Body | Objective | Key Features |
---|---|---|---|
Rashtriya Uchchatar Shiksha Abhiyan (RUSA) | Ministry of Education | Improve quality, access, and equity in State higher education | Funding for infrastructure, faculty development, accreditation, and innovation. Centrally Sponsored Scheme (CSS). |
Institutions of Eminence (IoE) | Ministry of Education & UGC | Develop world-class teaching & research institutions | 10 public (funded) & 10 private (no funding) institutions given greater autonomy. |
National Institutional Ranking Framework (NIRF) | Ministry of Education | Rank institutions based on performance | Annual rankings based on parameters like teaching, research, outreach. |
Impacting Research Innovation and Technology (IMPRINT) | MoE & DST | Address engineering & technology challenges | Joint research projects across higher institutions. |
Global Initiative for Academic Networks (GIAN) | MoE | Bring foreign faculty to teach in Indian institutions | Short-term courses, knowledge exchange. |
Scheme for Promotion of Academic and Research Collaboration (SPARC) | MoE | International research collaboration | Partnerships with top global universities. |
Unnat Bharat Abhiyan | MoE & IITs | Link higher education to rural development | Faculty & students work on local challenges. |
National Apprenticeship Training Scheme (NATS) | MoE | Provide skill training to graduates/diploma holders | Industry-linked apprenticeships with stipends. |
PM Research Fellowship (PMRF) | MoE | Attract talent for PhD in IITs/IISc/NITs | High-value fellowships for research excellence. |
Source: PIB
Category: POLITY
Context : IndiaAI (MeitY) and the National Cancer Grid (NCG) have launched the Cancer AI & Technology Challenge (CATCH) Grant Program to boost AI-based innovations in cancer screening, diagnosis, and treatment across India.
Key Highlights
Timeline
Features
Learning Corner:
Artificial Intelligence (AI) in the Medical Field
Use of algorithms, machine learning (ML), and deep learning (DL) to analyze medical data, assist diagnosis, predict disease progression, personalize treatment, and improve healthcare delivery.
Key Applications & Examples
Application Area | Role of AI | Specific Examples |
---|---|---|
Medical Imaging & Diagnostics | AI algorithms detect abnormalities in X-rays, MRIs, CT scans faster and often more accurately than humans. | Google’s DeepMind – detects eye diseases from retinal scans; IBM Watson Health – cancer diagnosis support; Qure.ai – TB & stroke detection from imaging in India. |
Predictive Analytics & Disease Outbreaks | Predict patient deterioration or epidemic spread using large datasets. | BlueDot – predicted COVID-19 spread before WHO alert; AI-based sepsis prediction tools in ICUs. |
Drug Discovery & Development | AI accelerates drug molecule screening & clinical trial design. | BenevolentAI – repurposed drugs for rare diseases; Insilico Medicine – AI-designed drug candidates for fibrosis. |
Personalized Medicine | Tailors treatment based on patient’s genetic and lifestyle data. | Tempus – uses AI for cancer genomics to personalize therapy. |
Surgical Assistance & Robotics | AI-powered robots improve precision and reduce recovery time. | Da Vinci Surgical System – minimally invasive surgeries with AI guidance; Versius – robotic-assisted laparoscopic surgeries in India. |
Virtual Health Assistants | AI chatbots & voice assistants provide basic medical advice and reminders. | Babylon Health – symptom checker; Practo AI – appointment and teleconsultation in India. |
Administrative Automation | Reduces time spent on paperwork, billing, and patient records. | AI-based Electronic Health Record (EHR) automation tools like Epic Systems. |
Source: PIB
Category: ENVIRONMENT
Context: Mystery of 5 billion Starfish Deaths Solved
Over 12 years, more than 5 billion starfish along the Pacific coast of North America died from sea star wasting disease (SSWD), marked by lesions, limb loss, and body disintegration. The worst hit was the sunflower sea star, with population losses of up to 90%. As a keystone predator, its disappearance triggered sea urchin population booms, devastating kelp forests.
Discovery Journey
The Culprit Identified
Why It Took a Decade
Learning Corner:
Sunflower Sea Star (Pycnopodia helianthoides)
Source: THE INDIAN EXPRESS
Category: ENVIRONMENT
Context: The government has drafted rules to penalise automakers exceeding fleet-level emission norms under the Energy Conservation (Amendment) Act, 2022.
Key Features
Impacted Automakers
Eight carmakers exceeded norms in FY23, including Kia, Hyundai, Renault, and Honda, facing penalties worth hundreds of crores. Maruti Suzuki, Tata Motors, and Toyota complied due to cleaner fleets.
Policy Context
Previously, no clear penalty process existed. New rules, effective January 2023, replace earlier lighter fines. Industry seeks non-retroactive application and broader recognition of hybrid, ethanol, and CNG vehicles.
Significance
The framework strengthens enforcement, accelerates cleaner vehicle adoption, and aligns with India’s emission-reduction goals, while sparking debate over competitiveness and transition timelines.
Learning Corner:
Schemes to Prevent Automotive Emissions in India
Bharat Stage Emission Standards (BS Norms)
Faster Adoption and Manufacturing of Hybrid & Electric Vehicles (FAME)
Vehicle Scrappage Policy
Energy Conservation (Compliance Enforcement) Rules, 2025
Promotion of CNG and Alternative Fuels
National Electric Mobility Mission (NEMM)
Source: THE INDIAN EXPRESS
Category: ENVIRONMENT
Context The Solar Energy Corporation of India (SECI) held its first auction for Green Ammonia under the SIGHT Scheme (Mode-2A) of the National Green Hydrogen Mission (NGHM).
Learning Corner:
Green Ammonia
Definition:
Green ammonia is ammonia (NH₃) produced using renewable energy sources instead of fossil fuels. The key difference lies in the hydrogen source:
Chemical Reaction:
N2+3H2→2NH3N_2 + 3H_2 \rightarrow 2NH_3
Why Green Ammonia is Important
Applications of Green Ammonia
Fertilizers (Primary Use – ~80% of ammonia production)
Shipping Fuel
Power Generation
Hydrogen Carrier
Industrial Chemicals
Emerging Uses
Production Pathway
Challenges
Table comparing Grey, Blue, and Green Ammonia
Type of Ammonia | Production Method | Feedstock | Carbon Emissions | Carbon Mitigation | Approx. Cost (2024) | Major Applications |
---|---|---|---|---|---|---|
Grey Ammonia | Haber–Bosch process using hydrogen from steam methane reforming (SMR) or coal gasification | Natural gas (CH₄) or coal | High (≈ 2.6 tonnes CO₂ per tonne ammonia) | None | ~USD 450–550/MT | Fertilizers (urea, DAP), explosives, chemicals |
Blue Ammonia | Same as Grey, but with carbon capture, utilisation, and storage (CCUS) | Natural gas/coal | Moderate (≈ 90% CO₂ captured) | CCUS technology applied | ~USD 600–750/MT | Low-carbon fertilizers, fuel for shipping, hydrogen carrier |
Green Ammonia | Haber–Bosch process using hydrogen from electrolysis powered by renewables, nitrogen from air separation | Water (H₂ source) + Air (N₂ source) | Zero direct CO₂ emissions | Uses 100% renewable energy | ~USD 600–900/MT (falling with scale) | Green fertilizers, clean marine fuel, hydrogen storage & transport, energy export |
Source: PIB
The Supreme Court recently refused to entertain a plea seeking the extension of the Sexual Harassment of Women at Workplace (Prevention, Prohibition and Redressal) Act, 2013 (POSH Act) to political parties. The Court held that the matter lies within the policy domain of the legislature and the executive.
The Sexual Harassment of Women at Workplace (Prevention, Prohibition and Redressal) Act, 2013 (referred to as the POSH Act) is a landmark Indian legislation aimed at creating a safe and dignified work environment for women.
This Act is to provide
The Supreme Court has recently refused to entertain a petition seeking application of the Sexual Harassment of Women at Workplace (Prevention, Prohibition and Redressal) Act, 2013 to political parties, saying it falls in the domain of the policymakers.
However, the petitioner said that despite the expansive definitions of “employee” and “workplace” in the Act, women engaged in political work, particularly at the grassroots, continue to face rampant sexual harassment with no structured mechanism in place to address this.
Internal Complaints Committee (ICC) to handle sexual harassment complaints are missing in political parties.
The P0SH Act can be difficult to determine for a political party. Party workers, for instance, who parties tend to employ in droves, often have little interaction with high-level officials and are hired temporarily to operate on the field without a defined “workplace”.
Supreme Court stated it is a legislative/executive policy matter, not for judicial mandate.
Kerala High Court view (2022)
Such verdicts highlight gaps in workplace protection laws for women in political spaces and raise questions about safeguarding women in informal and unregulated work environments.
The Supreme Court’s refusal to bring political parties under the ambit of the POSH Act underscores the existing legal vacuum in protecting women from sexual harassment in political spaces.
While the Act has been instrumental in formal workplaces, its limited applicability leaves vast informal sectors—including political organisations—outside its scope.
Bridging this gap requires proactive legislative intervention, coupled with internal party reforms and robust grievance redressal mechanisms, to ensure that women’s participation in politics is free from intimidation, harassment, and discrimination.
Q The POSH Act 2013 has significantly strengthened workplace safety for women, yet its limited applicability leaves gaps in political organisations. Discuss the challenges and possible reforms to ensure comprehensive protection. (250 words, 15 marks)
Source: UPSC current affairs | POSH Act & Hema Committee: Workplace Safety for Women
The National Education Policy (NEP) 2020 has replaced the 10+2 system with a 5+3+3+4 school structure, aligning education stages with a child’s cognitive development. While the model promises holistic transformation, challenges remain in infrastructure, teacher preparedness, parental awareness, etc.
The 5+3+3+4 model replaces the traditional 10+2 system and divides the educational journey into four stages based on the cognitive and developmental needs of children:
Foundational Stage (5 years):
Preparatory Stage (3 years):
Middle Stage (3 years):
Secondary Stage (4 years):
This model is built on the recognition that a child’s brain development is most rapid in the early years, and therefore, Early Childhood Care and Education (ECCE) must be formally integrated into the education system.
The emphasis shifts from rote memorisation to experiential, multidisciplinary, inquiry-based learning, along with flexible subject choices and holistic assessment.
For the NEP and its 5+3+3+4 model to succeed, we must:
The 5+3+3+4 model is not just a structural reform but a shift in mindset about what education should achieve. Its success depends on collective action by policymakers, educators, parents, and communities. With sustained investment in infrastructure, teacher capacity, and community awareness, India can turn this policy into a global benchmark for school education reform.
Q What is the 5+3+3+4 school structure under NEP 2020 and why is it significant for India’s education system? (250 words, 15 marks)
Source: NEP’s 5+3+3+4 education overhaul: Promise, gaps, and the road to transformation – The Hindu