PIB Analysis — 31 October 2026
National Social Security Board Notified: Bringing Gig and Platform Workers Into India’s Welfare Architecture
The Ministry of Labour & Employment has notified the National Social Security Board for Unorganised Workers and Gig & Platform Workers under the Code on Social Security, 2020. Chaired by the Union Labour Minister, the Board will recommend, monitor and review welfare schemes for workers who fall outside traditional employer–employee relationships.
- Social security: protection against life risks — old age, sickness, disability, maternity, unemployment, death — through pensions, insurance and benefits.
- Unorganised worker: a home-based, self-employed or wage worker in the unorganised sector, or a worker not covered by the main formal-sector social security laws.
- Gig worker: a person who performs work or participates in a work arrangement and earns outside a traditional employer–employee relationship — e.g. freelance or task-based work.
- Platform worker: a gig worker who uses an online platform to access customers or organisations and get paid — e.g. food delivery, ride-hailing, home services. All platform workers are gig workers, but not vice versa.
- Aggregator: a digital intermediary or marketplace that connects buyers or users of a service with providers — the platform company.
- Why the gap: India’s social security laws were built around a clear employer who pays contributions (as in EPF and ESI). Gig and platform work has no such employer, so these workers fell outside the net.
- DPSPs: Article 38 (social order and welfare), 39(e) (health of workers), 41 (public assistance in unemployment, old age, sickness), 42 (just and humane conditions of work, maternity relief), 43 (living wage).
- Seventh Schedule: “social security and social insurance” — Entry 23, and “welfare of labour” — Entry 24, both in the Concurrent List; hence both Centre and States legislate.
- Lineage: the Unorganised Workers’ Social Security Act, 2008 created a National Social Security Board for unorganised workers; it was subsumed by the Code on Social Security, 2020, which for the first time defined gig and platform workers in law.
- The four Labour Codes: the Code on Wages (2019), Industrial Relations Code (2020), Code on Social Security (2020) and Occupational Safety, Health and Working Conditions Code (2020) consolidated 29 central labour laws; they were brought into force in November 2025.
- Legal basis: Code on Social Security, 2020; one Board serves both unorganised workers and gig & platform workers.
- Chair: Union Minister for Labour & Employment.
- Members: Central and State Government representatives, aggregator companies, employers, civil society, workers’ unions and gig & platform associations.
- Meetings: at least three times a year.
- Functions: recommend schemes for different categories of workers; advise the Centre; monitor central welfare schemes; review State-level record keeping; review expenditure from the fund; other assigned tasks.
- e-Shram portal (2021): national database of unorganised workers, with over 30 crore registrations; gig and platform workers are being registered and issued ID cards.
- Health cover: the Union Budget 2025–26 announced Ayushman Bharat PM-JAY coverage for registered gig and platform workers.
- Pensions: PM Shram Yogi Maan-dhan (2019), a contributory pension scheme for unorganised workers.
- State laws: Rajasthan (2023) passed India’s first law on platform-based gig workers; Karnataka (2025) and others have followed with welfare boards and cesses on aggregators.
- Scale: about 90% of India’s workforce is informal; the gig economy is one of its fastest-growing segments, especially among urban youth.
- Formal voice: including aggregators, unions and gig associations on one Board creates a tripartite forum for a sector without collective bargaining.
- Fiscal model: aggregator contributions create a dedicated source of funding rather than relying only on the budget.
- Advisory, not executive: the Board recommends and monitors; outcomes depend on schemes actually notified and funded.
- Employment status unresolved: gig workers are not treated as employees, so protections tied to employment (minimum wages, working hours, dismissal rules) may not apply. Abroad, the UK Supreme Court (Uber v Aslam, 2021) classed drivers as “workers”, and the EU Platform Work Directive (2024) introduced a presumption of employment.
- Algorithmic management: account “deactivation”, opaque pay algorithms and safety are concerns not addressed by social security alone.
- Federal overlap: parallel State laws and central schemes need coordination on registration, contributions and portability as workers move across States and platforms.
- Balanced view: India is among the first countries to legislate social security specifically for platform workers; the Board’s notification moves the framework from paper towards practice.
The gig and platform economy creates jobs but challenges the traditional employer-based model of social security. Examine how the Code on Social Security, 2020 and the newly constituted National Social Security Board address this challenge, and what gaps remain. 15 marks · 250 words
Geospatial Capabilities as an Engine of Growth: Survey of India, the 2022 Policy and the Push for Industry Partnership
At a Survey of India workshop on government–industry synergy, the Union Minister for Science & Technology described geospatial capability as a key determinant of India’s growth, calling for an approach of “enable, invest and adopt” and wider use of geospatial AI under the National Geospatial Policy, 2022.
- Geospatial data: information tied to a location on Earth — coordinates, boundaries, elevation, roads, land use — collected by satellites, aircraft, drones and ground surveys.
- GIS (Geographic Information System): software that stores, layers and analyses location data on maps.
- GNSS and CORS: satellite navigation systems (GPS, NavIC) give positions; a network of Continuously Operating Reference Stations on the ground corrects them to centimetre-level accuracy.
- LiDAR: laser-based scanning that builds precise 3-D models of terrain and structures.
- DEM (Digital Elevation Model): a 3-D representation of the Earth’s surface, used in flood modelling, roads and irrigation design.
- Digital twin: a live virtual replica of a city or asset built from geospatial data.
- Geospatial AI: machine learning applied to imagery and maps — e.g. automatically detecting buildings, crops or encroachments.
- Founded 1767 — among the oldest scientific departments in the world; headquartered in Dehradun; functions under the Department of Science & Technology. Its head is the Surveyor General of India.
- Great Trigonometrical Survey (from 1802): began under William Lambton to measure the subcontinent precisely; Radhanath Sikdar computed the height of Peak XV (1852), later named after Surveyor General George Everest.
- Today: moving from labour-intensive ground surveys to satellite, drone and computer-based mapping, and building national positioning infrastructure (CORS).
- 2021 Guidelines: removed prior approval requirements for acquiring and producing geospatial data and maps; Indian entities can collect and use data freely except for a negative list of sensitive attributes; the most accurate data are reserved for Indian entities.
- National Geospatial Policy, 2022: aims to make India a world leader in the geospatial sector by 2035; DST is the nodal department; an apex Geospatial Data Promotion and Development Committee (GDPDC) guides implementation; envisages national frameworks for high-resolution maps, elevation data and an integrated data infrastructure.
- Related policies: Drone Rules, 2021; Indian Space Policy, 2023.
- Flagship users: SVAMITVA (2020) — drone mapping of rural inhabited areas for property cards; PM GatiShakti National Master Plan (2021) — multi-layer GIS platform for infrastructure planning; urban land-record mapping; disaster management.
- Governance: accurate maps underpin land records, taxation, infrastructure planning, disaster response and welfare targeting.
- Economy: geospatial services feed agriculture (crop insurance assessment), logistics, telecom, real estate, insurance and urban planning; startups and MSMEs can build on open data.
- Energy transition and climate: siting renewable plants, mapping resources and modelling floods and heat depend on geospatial data.
- Strategic autonomy: indigenous high-accuracy positioning (CORS, NavIC) reduces dependence on foreign systems.
- Openness vs security: liberalisation must be balanced with protection of sensitive locations; the negative-list approach needs clear, regularly updated rules.
- Privacy: high-resolution imagery and location data can reveal personal information; alignment with the DPDP Act is needed.
- Capacity and standards: many departments lack GIS skills; data from different agencies often use incompatible formats and scales.
- Market maturity: demand from government still dominates; building commercial markets requires procurement reform and data-sharing norms.
India has moved from a restrictive mapping regime to an open geospatial policy. Discuss the significance of geospatial technologies for governance and economic growth, and the challenges of balancing openness with security and privacy. 15 marks · 250 words


