GK One-Liners

What: The Viksit Bharat — Guarantee for Rozgar and Ajeevika Mission (Gramin) Act, 2025 (VB-G RAM G), notified by the Ministry of Rural Development (MoRD) in May 2026, will take effect from 1 July 2026, repealing the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), 2005. It guarantees 125 days of wage employment per rural household — up from 100 days under MGNREGA.

How: The scheme focuses on four core work areas: water security, rural infrastructure, livelihood infrastructure, and climate resilience. Wages are paid through Direct Benefit Transfer (DBT), processed within 3 days and credited to beneficiary accounts within 15 days, with the entire framework aligned to the Viksit Bharat@2047 vision.

Why: A successor to a 20-year flagship Act is a near-certain exam item. Expect UPSC Prelims questions on repeal date, day-count, and four work areas, and GS-II Mains on social justice, rural employment, and federal scheme architecture. Banking, SSC, and State PSC papers will likely test acronym expansion and ministry attribution. Key MCQ anchors: 1 July 2026; 125 days; MoRD; DBT in 3 days, 15 days to account.

What: The Bharat Maritime Insurance Pool (BMIP) was launched in May 2026 in New Delhi by the Department of Financial Services (DFS) under the Ministry of Finance (MoF). It is a USD 1.5 billion insurance pool backed by a USD 1.4 billion (₹12,980 crore) sovereign guarantee from the Government of India, designed to cover Indian-flagged vessels on international sea routes including conflict and war zones.

How: The pool reduces Indian shipping’s dependence on foreign reinsurers (especially London-based protection & indemnity clubs) by pooling underwriting capacity from Indian insurers, with the sovereign guarantee absorbing catastrophic-tail risk. It complements India’s strategy to build domestic maritime financial infrastructure, including GIFT City–based insurance entities.

Why: A textbook GS-III Economy + Infrastructure overlap. UPSC may test ministry attribution (DFS/MoF), corpus size, and the link to Atmanirbhar Bharat in financial services. Banking exams (RBI Grade B, IBPS PO) commonly ask on sovereign guarantees and insurance pool design. Key MCQ anchors: USD 1.5 Bn pool; USD 1.4 Bn / ₹12,980 cr sovereign guarantee; DFS under MoF; war-zone coverage.

What: The 10th Indian Ocean Dialogue (IOD-10) was hosted by India in New Delhi on 7–8 May 2026 in its capacity as Chair of the Indian Ocean Rim Association (IORA) for 2025–27. The theme was ‘Indian Ocean Region in a Transforming World’, co-organised by the Ministry of External Affairs (MEA), the Indian Council of World Affairs (ICWA), and the IORA Secretariat.

How: The dialogue reaffirmed India’s MAHASAGAR vision (Mutual and Holistic Advancement for Security and Growth Across Regions) and the Neighbourhood First policy, while advancing IORA’s six priority areas — maritime security, trade & investment facilitation, fisheries management, disaster risk management, science & technology, and tourism/cultural exchange.

Why: Indo-Pacific and Indian Ocean Region (IOR) are evergreen GS-II International Relations themes. Expect UPSC Mains questions linking IORA, SAGAR/MAHASAGAR, Quad, and Neighbourhood First, and Prelims questions on IORA chair tenure and member-state count. Key MCQ anchors: India IORA chair 2025–27; 10th IOD; 7–8 May 2026; MEA + ICWA + IORA Secretariat.

What: The Indian Cyber Crime Coordination Centre (I4C), under the Ministry of Home Affairs (MHA), and the Reserve Bank Innovation Hub (RBIH), a wholly-owned subsidiary of the Reserve Bank of India (RBI), signed a Memorandum of Understanding (MoU) in New Delhi to deploy AI-based detection of mule accounts and cyber financial frauds.

How: The MoU operationalises data-sharing from the I4C-MHA Suspect Registry to banks via the RBIH-developed AI tool MuleHunter.ai, which flags transactional patterns characteristic of accounts being used to launder fraud proceeds. Banks integrate the model into their core systems to freeze suspect accounts and block onward transfers in near-real time.

Why: Cyber financial fraud is a recurring GS-III theme — internal security, economy, and emerging technologies overlap. Expect UPSC Prelims questions on parent ministries (I4C = MHA, RBIH = RBI), Mains questions on AI in financial regulation, and Banking exams on cyber fraud control architecture. Key MCQ anchors: I4C under MHA; RBIH = RBI subsidiary; MuleHunter.ai; I4C-MHA Suspect Registry.

What: Dr Kuljeet Kaur Marhas has been elected the first Indian woman Fellow of the Meteoritical Society for 2026, becoming only the third Indian scientist overall to receive this recognition. She is a scientist at the Planetary Science Division of the Physical Research Laboratory (PRL), Ahmedabad, an autonomous unit of the Department of Space (DoS).

How: The Meteoritical Society — founded in 1933, headquartered in the United States — elects Fellows in recognition of distinguished contributions to meteoritics and planetary science. Dr Marhas’s research focuses on isotopic studies of meteorites and presolar grains to trace the origins of the solar system.

Why: A classic ‘first in India’ awards-and-honours item that fits Prelims directly. UPSC Science & Tech sections often test institutional parentage (PRL ↔ DoS), and Mains GS-III may use this to anchor questions on India’s planetary science capability. Key MCQ anchors: First Indian woman, 3rd Indian overall; PRL Ahmedabad; PRL = autonomous unit of DoS.

What: The India Meteorological Department (IMD) launched its first AI-enabled weather forecast products: (1) ‘Forecast of Monsoon Advance over Different Parts of the Country’ providing weekly forecasts up to 4 weeks ahead, and (2) ‘High Spatial Resolution Rainfall Forecast for Uttar Pradesh’ at 1-km resolution up to 10 days ahead. They were launched by Union Minister Dr Jitendra Singh.

How: The products were co-developed by IMD with two key partners — the Indian Institute of Tropical Meteorology (IITM), Pune, and the National Centre for Medium Range Weather Forecasting (NCMRWF). The models blend traditional numerical weather prediction with machine-learning post-processing trained on decades of observational data to push spatial resolution down to 1 km.

Why: Monsoon forecasting is a perennial GS-I (geography) and GS-III (disaster management, agriculture, science & tech) item. AI in governance and weather forecasting features in UPSC Mains and Banking GA. Key MCQ anchors: Two AI products; IITM Pune + NCMRWF partners; 1-km resolution; 4-week monsoon advance forecast; launched by Dr Jitendra Singh.