{"id":18218,"date":"2026-10-17T06:52:26","date_gmt":"2026-10-17T10:52:26","guid":{"rendered":"https:\/\/globalriskforum.com\/research\/?page_id=18218"},"modified":"2026-10-18T21:21:07","modified_gmt":"2026-10-19T01:21:07","slug":"research-methods-dialogue","status":"publish","type":"page","link":"https:\/\/globalriskforum.com\/research\/topics\/research-methods-dialogue\/","title":{"rendered":"Research methods dialogue"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/globalriskforum.com\/research\/topics\/research-methods-dialogue\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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HXSaPH83G63GCikIpmBfxr1UX\/x\/Hx6wkD79MfPz29bLHOPlbKImizXFM\/czCgL3dT0yqLAzKhp4ECfAfDuiaP0Uh\/8yQkb7uRE\/kvUykFBgjHNXK5Sav24hz6QexcWHwwKimJyVsDaSSo3c2omEvSO\/5KKxZWCNTCDvQqW10vK0fcy3wmgmkeRkbAhhYAqW7rlTNnCnQDtyPVX0NXJbQwvb0nHDck4aZSMY4uYCKfktlLcFQwoh+CPnfHIdd2ikVM00p1daA1v7S8dKh8AQGbWliu5lFt+UDCzvNhcAUufnGPwwkxsUdvchDiNHMYrRwFfljOxw3iiJoojFbSye8U0kpGD0jLKBxsHyXgndZZ0AYqN9BVrb9Fqc0csZP5f29xj7ona5r6tbW7gTnJ3Q8TpWIaZIOJ0Irc3RJzACATDr4w45WD6pdL0i61Umn6pNP24lZamX+ACB2hBIKjupPa23FG+6\/Ui9DH79iSMA4xqehmHwKbr2\/NOqPy5LRao6PhBrbFIhBcRutpuh\/0nbmBqrYNkEZOuVUpw355Tp\/ZEyxFLkRywhLJSzsBTn3YCN1lnlaGYsbAXSQdqBoZi9qZtt34oYld7kDCUo3nosZJa4wC0xiHL7Yjldsrst6eUTdxfjBbLWG4PWG4LCGFJZXDCfsYKpQPmNR1wL+oX7qAYlt26E6OYAPtcPBQm\/z0uEmxG9YLCZj4jXRLzEXFqxRLJZJaApymMJ8eEdpavUmcWyFvqbsV7PfKlWTeDHZpMm322bqmK4lTzttqFqdoA62fnFs15vUZR4Sf3dr1ZVdAc1C2btWw\/iePazPxqak9tjKPJCTwdqwepL6Am\/kmp4Z9AH5Om8zbezWas\/5YfH7ePiUOIwvkr9KvFXAOuhK1ggbfW6T72NzX\/MMod1ICmbiDhnEslixa0MExSHo5imQQEPlEY2DIkIqxBpVbl9sA81Za9pli9PVmzw7MgnB88TaM4c8lYiJlzdLRYLOzFWztJR0ftH3\/88ehpLKYROUD\/p6vcnwuJiHPIufIqTy\/mVAXh\/JxonBjyZpZ\/jRMvPMHToRdFNXb8uBn2Pzkuw\/5vW1rY\/xTD\/qd\/Iez\/y54YPwuwelcwn8lAfqfIjHzMva1wbtjAzHNkHBjOTcqHNmVDN5APyzZlg\/KhtdPfDQNqmkBYRXR9SZXDihMklq8xgoE1VJs\/\/NMhXHzDe8IsYtJNrFPHL5wasmops266A+vvzhAC4Bsbo97BVjwh3BURfiFR4nu6L2L8YgZFU0QZNZUg9EYFbrZYGFQSyazyEiaqWFRQDkQVD8v1jAoFdwEDLRwLwf5Ga6lzS\/oSevgy0jVfiFZG\/d3BqlktIpRZxJzoEmVS2sh1\/XeiGVxJDM9JXAvQ+k84zwlGzvwlzmcCcTOWOhMVyapYBiTbZX+NZWS+JwRPawzjm9BzGw0P0yiBcfx4ynj5jElDLHV\/iodwSGLJctcqfwe4ewO31Qmq7MQAMFukUYexkTLRC\/q0k1fKTS6LMPnMdd2UrnI3NWXCboaKSUMSttWm7JjF1gllkfuLkbKcceste0srpbAJkkL7yiBgExk4cF9KQb+cpZ+nlZJfDeh4UNORel9YZgwkZZc6bLyv17RkwUsBs5mXTrZCZjGGzLgKi6lwnyMJ57Ups3EScxki3EotyDazFDKPYFJCUiQlmI2vbaYkZJF8LVRvNGycbCPMmwVEEn1m+AXJw5psOsPkfi5wy3zI7oBNcWyfrPVct0zUU66NuKTidgsMj6aO20zQF1cmRE1yY2G4SQ5Oyf+jddkSUSL1pJMBrLjWpl\/6FIzStsT0S2pvONBEnVf67\/R+RwZ\/k9LNzjXUXtf0iYBHwlM4OzzLZl5cV30ms9CakwMJgUsmxW8RuxI\/qBQpf53UiKCTcwJumjwORXdXr3nxKrTS34R0BdPwdr4YKBCCMJVp8J4dhOnzMxlGniCQEi\/rR0kSQAPDs\/FnEU5Wy+iUxTCPgn2T2MMupK4nDfYt2MAq9gRvhHAWRpECABtJENUb2PNZeKDRWYHGs9+OwnOtKfgXMet0Y\/RqIa9qC+knUT6NpaWeJalQkgNOK4gx94LzM5GeQxZ8jhw1dVudtLL10kJqBngmgWVugL1USCPOoQQbiwGtcTeWKa4BiMNu3Gv3z1td4mU+jwOIkDsk4NoD7hD1Bw8uKMdfoNJhZob6RZ0mxGapXJTAzmCx73nkiXDOD7LwD17DUoeb7uGZGB9kfjLjLnpM5YL4SSSXAyFGGEwjsON82j2ULeJ8qhbkEJc6w9MTxgYyIufwbJALAeenljCEfFCjAKwKR9pI54dmhEDKtucKZDE+J2s41wG\/03Mskas1SILlOdEWSzpat1YsVB5YOEqCHYmUmEaIa3J4oOktEqCwAOigyLdwSYscQNKGi5Ewtco84r7ggat2yyF0mcRdRQR+nqY8Fjqu5NYI7WE5ajHgEDFd1GMnhROwhmyAraiblNBWLxOFjtxtdfKKdnPdRZT3GUh08A9mPR\/m2mdDN1EHaroqWwMC\/CSRBmU3cVbCSdbwPyHSJBq4xtDOFt3Ds3CDCBcFKUn4oBUic+eOljMb2qkXT8pTPo2cA1pIEpett\/mObw+8tJsJYwg\/9DQGLGBD26fO0AYW9Cd4k3zhNaxpaNeZIZbUnKjQAqebTT04BHyGf8+JRBX8Vh3IYpiWItqAwPz2bEU1e1UL86\/VDu1sruFXzXJeLtNcI8Kh7Tc09qvWvt4cOMBAbtagtlmr32qvFmJUgLpQRz0WVQwCHwvRALq8YkZC8UK1zfChaKaMOR0sLsGCzvRjXfeaZDg8C6I6KAF4MvYeQZI6F5wR6sABI\/CanJ8FApeRy5MT4PkQ52cBLBu4EjRWk+SK90G5hnVwRZQLU5EfFNdnBWXtYpDgvHCylEeVZEWkz\/hO2Ty7FZkdcvk1ZO\/pRF+NeVnHcjivD4iHj1NesFZFANvL6smFNcmBN\/LCOBNwxM4eVMt9jn1XDPpczg6nMlbAqmqpBIAA4WmhXsGTVCQOi0k0dVAJSI9sbsDG3s\/CGieEifj7WaE+3VdDM\/iL0AxeBc3g9dC8AIDsLwiHw2uZDE3ehcMhT3ns19STgpq3NqAu3PVdKIW73IqHzaRQFujAyI3aNK\/tmfByb0xc4nuHZlxq0XVFX27Mv9LpYF+nx3+q00PgJSclLwkKPnLSwEfe9htwv8FJsKjc1u8b3SfojdHcJyIZjSLOUvfwLN\/grxEfgTvvHFXkw7MobKq2hJx7LMGLQiUMyxOwqOOILR0ncAXoOJl7+ALTKnRpUF79JMf80VLeNfBHbEPqTBzLnE01dlb0uKmgKH3+sLYTA7kPUdHOxt6Md9VfyGfNHkkpEaCseAUfisXErlOQQ4Al0wC7q1H7rluKfElA5a7kklwyRSyVmTjfUNQlVsHGz7i0HwM7ibesR4lvhZKsptk3mi8FPEZgDyf\/atbNVVWdijMNyxWxFCScYkkOwhCPVAl3hZLGuRIsiJx7wUDwOXeCKXnkXAomSdB5LxjPfGfGhnAZifMTU\/dlOFyw4VQ4f7AojJ1fWJSMMkcIBj5wxxMMXcjOzywOfX7jPTmpYDxynlg2Hzl\/Y+Bfcv7BIPjyCX4GgkGc0fkX9MadC+gnzZwbODjuCedBsDLu4dwKpjyazqNg6ERzvgkGPhsnE2wyCy+TYOlcY7OIf0iTqfMfqbL\/0+2RJ8LIkjCCnhDCiHSCEEZ8qPGhCtwpT2347xgaw68l\/IIYQnnCg8gAylC4R1b3t+DNb3b3t8A0ug7vWWYfftPu0SjslDzDF9tHRqk9xXtfhqK6JKLr2VNvps6BUqfXr9jOJ\/0Aa9uqrnOw6pekvKuxp1Zn4yqe6sKcoWBlXnV5vt\/rxaZZxOgNXpxotQnttfvykGt54Q633xyFDIoKk7M2lHZjQvpm6\/YJ8Mfl7C2l6tqJ5jrdbf3xtRPDNen9FrC+XJg3R6OdM2W7ZqmmJFnqT+B0LleJl9d7wEnfs1Y3qIZmcAkRoU6gQ57sWf0GYLfIoQQ+LglAHQGOt0am6zrZjEtHKdwbUFKQut8IvaYsdVdrlsN\/AcvKbKsRF\/dJIm6TgHdrT4Y6rhC6UTey4TajOX8f8SmPhYpuoC2NgTN5wtyG43iguxohpSvfDaG7CyHScJDDISnlv6TPz401ijtSeSo0wSgiT5cP6IJI0osoMkhP9tFXIlIGBJJaQEBmUCS9oL9jeDZwV2vtCoN\/1q4wkDGj7df\/CZca4Hnd8laOQQ8K++5kvU57w74rDw3Am2Mv2xxYxITSVQ7tsAm4FK+SWPBYrNdwlUzM04+fb65dD5NbioMCG0gwDnuVX8Q3D0n\/kD4\/72hUyRTVEnpe4lotbfRn0xXcdaUejNUs5XMeiwc\/TaLIAclWXlv1jq7W8vwlt1Me5D6v0djC5XagB1lOjlsOFuENNota41u4Oubz69f389b63rufe0GffXLvd63x1E17nzBPaEpX+9Z67MIisvlmV2PKbtxpb4x9zPWbWG7qt7TgY3Eq1ocjluwO\/s4R3ddqQNd174rbhlZaOV3dypjSikfOPfOEM2YXzjW7dO6YmEXOfE0793ZWg4zdULzsBeNrvU99DR6ZRH6vUxd7cBOB7Si7gJ+PCNhDBdiFDtiD\/qB6f9yAEnpH8mAXzgO7dC4Q1EcEVRvZhdcR0CINi9s8FjzVjg\/UpybXD9ugIAbVCqf53W0JlkZIV5DtWMY7gUah6RVdXbnv1jJVXIsKGe+sK3q0oOyj+0kY7ysl+4vb6nw5K0bofClI49K97X3ps69F+BHKPritzoezS7s8b\/oBWn+V2Lm0L3of+qZxaV\/2PvQt+UjffMRI6KWMIqwubR7VsPQe7lm6tAGFH4WBP9hXlZKGjWsourQ9wbRX3lWvSFS9P8PL1x5znomLOJxCXCr+kHpTbshE4B01JSK\/bATdYM0F49MBD+B2H9z8TszQfeKs1izjkRQI46SQDHBuD6r8bC5LZvFI\/sjmo7tcNRtDMgVPoeW6PLhW52TEVn6zcAYuQtDASzEZMp+uDLgFSHbTC\/tu7QnyT6hcGZ+uO9zm01BsvC9FzdZr5XrLhNqkllALPDPpDfvQq+SOA+COUAymfzaDsvfASY2YLw6u8kwkU\/lM4idnOLGIGbJVwIUXRo7PBvlgEPFM7ihQvpOMB4r91kbocPtRg1+76KSOtRBn++i9oi1wXdk843XcsISuuAxCAWb98lqNrfcrcQN9kEMzVOKmQKI8zjGsneQY9gb9jc2vW1yEKRUK2zUw+Tmh1HULRcunZeROGmbFubv94EZhwNMmiJduq7M8mxQQL5ElCGPSW\/aZT5XI29v3Yszj\/1FdO7W+b91W5\/ZsUfR9C30verd9W5nw+LtZP4JOCf3OdUNMk\/aRNeI6AWkbxB978QhC9OBLdkKG4VjHX1OknRHfpP5S1S2XuRTgvlOVwsvgCdgkj1dQhPICv5oidMbooz7VSCqVA5ewRGmMr19szYaA8f52xNAvWqhIRakteCZQl91HFkATTYSMuJcJZD7I6w4oTjGAsAONMiYV1s8W71LsIHNBQ6wTop41LMXjGDKCfbYq2XWQp46RSK9VkKcMhWxZgk9r2okM2hkJY0iLnECwFmR2dofbOGidgnLkDXJyw5Rn40b+GnabZtcL+07oqFvd4FJEI6d7Ga+knLwHzBdu7HkZPdCyWtjvBvUrQ76baM9yfTVzdmL7EZy4\/gXcCPL9pda+WE5jwgbGkk0oLnOnujv3nkNM+m6ASSIpXYEsqJcZ2p27RQxXGxP6KjNlQyugcOWJWt\/AxRXP6Mr3Yp9HG\/I8w7TyRlGvjSlXVS2cgTJ5BXTSUtSBrHQN5jm1Ewlz7TbTSIN7ly4vjZA+oczHtfXdVsevckH9Yl0TN+z5\/X12IQRwCxveIbTX6qsgLciuqAvBXPxlB+EU2aN8CgM5j47kEdweJ0I1HidCawxPtcZLqaV2UHHN1IVIQ30YqXAO6GqJ2SNSJR\/QFU6lgWMlcaXWon6HDVM+Tea8oS3qjZPd3Y0x++qV\/UFj7HC5u8MgnL6+Q2iMHTYsHLjpCcW01mRBGges5RcQNtgS4OsK76IJWNQ3IsKaF13BL3YAr16Gw7q2N5tFyxsvnWRuhIoQwLSDS0taK4d0XTcs7ngoR9bVEklOiqiwhesXd2PjhRZD+WcVhFMnZGHglK+ukRsXol1CRVjVUAclDJR6neSpz53k+ZnkIaSDdoCu5zuFTh2WRiBUIoTcNzv2DMG1NobdYVk3VOUduSMU28I33GFtZgifPjHoZt+ERDjbmg7sw\/Jq7UItSguVCiiroxmOQ3X2OJEBHboaQlwhE2kSjzBiVFRIp7sqX+MbEIdTL0DweUOlSWoBvIHmUZIBvEG\/M1SxdGIaEy1krgIlk1q0nKiAu2q5L9iD7eH9emAepzNpDKQPZdoChtBxanEiClzMFBqwCN+cQbRB81MNOyV6dZZZk2Bs4aZ2MhxmXD3fls8f0SnfkRfAhWb7xFycL63TbmgtrPaJAyXs3vXN9gks1L15e170LN+0Tunq3vWtW6t9vE7tTCwjbpeue7d2OZMm1MuE0VO4AcEksye2q\/5e1lOiaO6i2XZEp+klvBzGoyuE8J77AglchJC7JMH+aoEyMxSsKPjVSuBULPMLov6QpH9uBDaUPtY9ow9xTDW0ObQxJnJ0zIYwtATAHNoyQnJ0rGAZhwH\/rG8y3F\/pxoZClbbinUblOa80hLloupd\/Q1hU6vI0BC8p469o6T0Rdfdi6vLzuNucCVzetUnxxnK4t5xSpwXxgPQN3Gpf3sF\/TE3yX6QjdqryMVwPofiiR2l5f84exUeM8+kAVJ9sf7thGEV9LeorzzMEtbMMARwFqcGGJcIb3XpTjp8pWPD0ysu4gXJXZWt3IejlQEgsl2clpL4G173Vr3oDz8fG3CE2livj6mdRGCi\/cG9ygxcKVXfyd0G3VRXItyu33KiWnrqNBAxT9moJUToqZFqE15AR4fXiPktdbvtRkoGhpnxFBK5B5zsUSZl+Uyxe2k3tb9+Gk4cklS4pvOcciT3o5X26igWcl+\/leDMg\/sXLkuU5huJt9UdZy2QYRqA7EzPvY59lx1ndb5yVPuUIRsnQp1uiLd5wwglbXCZByOHiJDRF6v731L1IU2+p3Y2NhxnUldhSZuHR+4YFGPeKNBsg1cC12izTwiN5zWWOTuGsUU+HBFsgPQ+O4mIjSNP4CYJoHXxs0v+SVBAW70kYVnrc\/g5UNjGqjMFZ+ZEJkAtJKiqTJ2JhkSMaqeTQQM8UDVTE1\/W7ftMUszkmuLKBm3STPQ2UraGYzxBO36rfg+K+2DC79W6NCS20xyG1I\/zQyJUM0BuqfECpI9suaddqOxNrWfDZxZtY3bkiVyqtrRTyZh4HV+MwCowUwlcafUU1xqxTV1d\/QMpx8Iqx6gIumYccb6Ug53gtvRH30mY7DiJ\/qNQcELUB8QMacNKxCwLFyauQa3GzHD0HBgA9KsnzXaA2KTfddrEVRQMTUMHNPUxA2s+SIWYvOrEQE5hKUvNkNdmzaO3onqzCQqD6Fh\/UOONoh4GDV8Qh4lgMgQjY+15103TxBZvCMP5fjXfKdeIN68QBoeqNZ9z0vX7xFYi8d9Kv3XPd2ZJM26fsQjdD+VRa5xgWrkJMx3QVqLNTaiOEoKey8qGNp7bWsQozYdKSkwPb9Z0cTv1BIomT947xMu2MsKGT997iA+lKrqq2ieoSaintwh9HL2IzkWHcvsRguSAfNvbETGSI7ngj9nRw68kz3mduLG+NrdYDntv9dfUdgXaHV1uFKxaKb8qPB8jIOZ5RLj9sc6Yqu3GPy\/v7nVh+XEAxe8OzVFWrT48M1bwqw8+ylCCpPkxDdWKVRfA9mRIRvVi7H7etJRdMt76h8h84TNNIsE8ZKHD5nhZLaNGp22uKGzS786auuiFTefECoKUtq14d16KdYENMVOk8rGYUjIwUvggl722lipHsAloeuJRMBYHpZX112Hkg4KM4PsS0k53vPw1JcbdD0A0apLBS1yCr42UnOciHGJM0FB4kj4e6SsmbuK3OpGJMk2KrLt0Pwgh7kz6LN76PtaSae9NX2xVayhxC9oexZPg4pPKv36eVxpQXt0QEiZ9Dlojtp9wTRc7I7YPRcNb+uNVqHeEBvRIDncXGAmLWVqupYlkq5NVxYjh+unGNdC7PDS8p\/tvqBkLNb+3jhgHUETs1WSAtXaQuigvMbyFDxoiZT50Vug2cP4yYJd0aP0oo7SZO+eAoTZChWPHRb8zB0QVGG57Ox5P6t3QtitiOvCV2haToZOzJifXso59qzOuVWymmq3hjzmofsXJDrUVhDxq00wzMS7vmSV7ho0H770K7haCpSlI6gKx3cGYnw4PLKBl0YwfMCvhpgK6\/Ar3W8daF1ddMZwbx0AL4cn+tKmSA4cv9tcEp+CxSPnTzTmrDBRhR4gXwKSY7hUz8OElmPOYp6RQOBYjmRt7SlQpmpxwSTnrU9Svo2o9Cf2LQTsbF53DKk1zo3naAKOXzZKJBlOMypNqOBiN7x\/5O6XrNTlqtkrWjFS7jw9VXwKTTXvtSX\/2TGLVMs0qR2E5Bk6ui9lesfdsv1r7tFxewHPUI+y3uq5gZp13I9eX1z\/YdEnIoXVt8TdWdt4zQ8vdvMSiHv8VaFvZE05F6ffk1GvgBpoz4yL2gq\/5K71pL2hxZwUWl9ZjXrMdUMra8F9d0NFuk4dSgdO3J+rSy8F\/QjbWRgi07NSuSR+QXhQIYFUGsqQTqBGRZ2cOvmiEcUaOpBXbG83O0bwIZbfioT1g\/LBolMcdcPzwYjodGt0XTGwIeGa+5Ru1FNHvhjhjwlU54+cMqcnDVI9xh74GlShhJZp4fCvgF71rVo2qr1SexsIbeNIzKJzzuqX4vivzeiEPOMJy698F0ZGTmhbGwkhROQ\/Q3kurjhqT6ERdgfuWCBw+w\/40Y3AB4ucmGCpzWVODMdNNeJC\/HD2DBim9S\/QyeIwPqqEk66GYNSqbiKraC7xNV6kBRh6zh41UbrBlZEgFPQRF0U+fXbbh76GcPUjK3ZtBgGj0\/C7oNJLHwfJQ3g48ZggHQ8Tb9QXBjDkiG3WKcbr2kCEDxkVA6IN8c0+2WRZp22VQWYFt1Nddf0yzwOD1c3tAIGWm3Wv\/VUF1mje+oV6uBxOvgqUW5AeEGn3EoOMEphnHGU3HJ4fYiI2GePQzTTCA\/rzR0vjj4enP9wNPQi8I\/eGpQ\/HAHPnxOSp+j9iW6LY0c+vhp6o14J7UTKdY2gsv5ToHpe\/Hcywjt5HJ1XK+TK+S7cSe3kaZiYDUGOQ4ItYPUW+BgRsparIWSHD4vmaCs1r9MyY0AwscIFE9T3cENlej\/gtos9V1kbU4I\/cLCmU\/TqAMaBCQV5WII9++bPPaTgH+5\/wmIPIkB\/NrnNeuHdgRkzzWqJkjhw3CUp7z2Idr\/8aw\/WtaPVv9oFDJiqS88oT8VWG7pjPOzeRf\/V1nShUuuyGLj0WYi2w4\/J3fT7kQYqexmLbXAfxuxSaB3Iq8LOsKfM5CrBVMvv146Ax+ZNCJn8Qg0yBl4k7SvVcK1ZkWfM2SLEsf4O6LrNdVDY3kj9CoNDxW6A7nRK5U\/cPNNTtR5EkaI1+oHxY5nQbmh2Z8Db3PKOP6q8Py8FtisGEQyhRqdERYKI1MJlHKMMRzapKuvSGAVhX0tvkapfSD5Ln7Hp14c0FVDoUFtMeaxrghqrR5gGFsSIgxEbanOaa3X+vBLPc9foN9Z0+3gUTmEyiTOjix2ufoBvm7If98VUk+5FyzLJIDmtMytpL9+r35aCl\/WvWRS5KYNIhe+1Lgjv69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\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class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>R01 \u00b7 TOPIC \u00b7 research-methods-dialogue<\/strong>GRF dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GRF<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Research Nexus<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Research Nexus<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Research methods dialogue<\/h1><p class=\"nx-tagline\">Risk evidence comes from experiments, observational studies, models, case studies, expert judgement and lived experience, and each answers some questions well and others poorly. Methods dialogue is the comparison of those designs: what each assumes, where each fails and how evidence from different designs can be weighed together. This page sets out why methods choices carry governance consequences, how their quality can be checked, and who decides which evidence counts.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskforum.com\/research\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskforum.com\/research\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">R01 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">7<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GRF \u00b7 Established \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Hazards and exposure in Europe<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Research network directory, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Research methods dialogue: how the\u2026<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Research methods dialogue is the comparison of study designs, from experiments and observational studies to models, case studies and expert judgement: what each assumes, where each fails and how evidence from different designs can be weighed together. Choices of method carry governance consequences, because they decide which evidence counts.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Hazards and exposure in Europe.<\/h2><p class=\"nx-lede\">For research methods dialogue, in GRF's situational-awareness reading, the map opens on true-colour imagery, population density and flood water with clouds now from NASA GIBS, framed on Europe; 3 further NASA layers wait in the list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"europe:risk\" data-ml-points=\"on\" data-ml-src=\"risk\" data-ml-plan=\"p-d8a24298\"><div class=\"nx-wm\" data-nx-water=\"ctx-risk\" data-wm-domain=\"ctx-risk\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-25,34,45,71\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Hazards and exposure, Europe: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood,people||||\" aria-pressed=\"false\">People and floods<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood||||\" aria-pressed=\"false\">Floods this week<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Hazards and exposure, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"fires\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-op=\"1\" data-wm-breaks=\"10,50,200\" data-wm-short=\"Fires and flares\" data-wm-prov=\"NASA LANCE FIRMS\" data-wm-kind=\"Satellite detection; clouds and overpass timing leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Active fires and thermal anomalies, last day<\/span><span class=\"nx-wm-layer-src\">NASA LANCE FIRMS VIIRS NOAA-20 375 m (FIRMS) \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"fires\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 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stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"nD8AHC9C+3M3ObZpd9R\/Lxb2bo29sfEuijTslQu3cAY=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For research methods dialogue, in GRF's situational-awareness reading, the map opens on true-colour imagery, population density and flood water with clouds now from NASA GIBS, framed on Europe; 3 further NASA layers wait in the list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 NASA EONET \u00b7 GDACS \u00b7 NOAA GOES-East ABI GeoColor<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.firms\">NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Live: NASA EONET Events are indicative, not official warnings.<\/li><li>Live: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Live: NOAA GOES-East ABI GeoColor (CIRA). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Optional layers (12 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/li><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/grf\/R01\/topics\/research-methods-dialogue\/#map\" data-nxf-title=\"Research Nexus live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Research network directory, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-research-network\" data-cx=\"research.network\" data-variant=\"section\" aria-label=\"Research network directory: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Research network directory<\/h3><p class=\"nx-fk-sub\">Research methods dialogue \u00b7 Research network A \u00b7 Year 2<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Call open<\/span><span class=\"nx-cx-prod\">GRF \u00b7 Research Nexus<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"map\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Collaboration graph<\/h4><p class=\"nx-fk-panel-sub\">nodes: institutions \u00b7 placeholder<\/p><\/div><\/div><div class=\"nx-cx-map\"><svg class=\"nx-cx-svg\" viewBox=\"0 0 480 250\" role=\"img\" aria-label=\"Collaboration graph: schematic on placeholder geography. Illustrative.\" focusable=\"false\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Joint projects<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-research-network-t1\"><table class=\"nx-fk-table\" data-fk-table=\"cx-research-network-t1\" aria-label=\"Joint projects\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Project<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Partners<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Stage<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-research-network:r1-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Compound risk methods<\/td><td data-num=\"true\" data-sv=\"4\">4<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Active<\/span><\/td><\/tr><tr data-fk-key=\"cx-research-network:r1-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Local knowledge in warnings<\/td><td data-num=\"true\" data-sv=\"5\">5<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Proposal<\/span><\/td><\/tr><tr data-fk-key=\"cx-research-network:r1-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Open data for risk<\/td><td data-num=\"true\" data-sv=\"10\">10<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Reporting<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Research network directory: the screen's structure, terms and states for Research methods dialogue.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Research methods dialogue: how the risk develops.<\/h2><p class=\"nx-lede\">Comparative methods and limitations. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Hierarchies are misapplied<\/h3><p class=\"nx-p nx-mt-1\">Evidence hierarchies built for clinical questions are applied to policy problems where trials are impossible or unethical. Relevant evidence from other designs is discounted, and decisions wait for evidence that cannot exist.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M4.268 21a2 2 0 0 0 1.727 1H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3\"\/><path d=\"m9 18-1.5-1.5\"\/><circle cx=\"5\" cy=\"14\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Assumptions stay hidden<\/h3><p class=\"nx-p nx-mt-1\">Every model and estimate rests on assumptions about data, mechanisms and context. When these go unstated, users cannot judge transfer, and disputes about results are really unacknowledged disputes about assumptions.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 3v18h18\"\/><path d=\"m19 9-5 5-4-4-3 3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Flexibility inflates findings<\/h3><p class=\"nx-p nx-mt-1\">Many analytic choices remain open after data are seen. Choosing among them by result produces findings that do not replicate, and the problem compounds across a literature that favours positive results.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21.54 15H17a2 2 0 0 0-2 2v4.54\"\/><path d=\"M7 3.34V5a3 3 0 0 0 3 3v0a2 2 0 0 1 2 2v0c0 1.1.9 2 2 2v0a2 2 0 0 0 2-2v0c0-1.1.9-2 2-2h3.17\"\/><path d=\"M11 21.95V18a2 2 0 0 0-2-2v0a2 2 0 0 1-2-2v-1a2 2 0 0 0-2-2H2.05\"\/><circle cx=\"12\" cy=\"12\" r=\"10\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Context does not travel<\/h3><p class=\"nx-p nx-mt-1\">An effect estimated in one setting depends on its institutions, population and timing. Transferring it without stating those conditions misleads decisions elsewhere, especially when evidence moves between very different settings.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Preregistration<\/td><td data-label=\"Definition\">Recording a study's hypotheses, design and analysis plan in a public registry before data are collected or analysed.<\/td><\/tr><tr><td data-label=\"Term\">Reproducibility<\/td><td data-label=\"Definition\">Obtaining the same results from the same data and code; replicability means obtaining consistent results from new data.<\/td><\/tr><tr><td data-label=\"Term\">Certainty of evidence<\/td><td data-label=\"Definition\">A judgement of how confident one can be in a body of evidence, made with a stated framework such as GRADE.<\/td><\/tr><tr><td data-label=\"Term\">Sensitivity analysis<\/td><td data-label=\"Definition\">Repeating an analysis under different assumptions to show how much the result depends on them.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Studies with preregistered protocols<\/td><td data-label=\"Unit\">percent of studies on a theme<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Registry and publication records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Replication and reproduction attempts<\/td><td data-label=\"Unit\">count per theme<\/td><td data-label=\"Cadence\">periodic<\/td><td data-label=\"Source type\">Replication databases and journals<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Outputs sharing analysis code<\/td><td data-label=\"Unit\">percent of outputs<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Publication and repository metadata<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Syntheses rated with a stated certainty framework<\/td><td data-label=\"Unit\">percent of syntheses<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Synthesis libraries<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Mix of study designs on a theme<\/td><td data-label=\"Unit\">count by design type<\/td><td data-label=\"Cadence\">periodic<\/td><td data-label=\"Source type\">Evidence and gap maps<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Studies reporting sensitivity analysis<\/td><td data-label=\"Unit\">percent of studies reviewed<\/td><td data-label=\"Cadence\">periodic<\/td><td data-label=\"Source type\">Content review<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/grf\/R01\/topics\/research-methods-dialogue\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Research methods dialogue as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-r01-topics-research-methods-dialogue-pris-t nx-dag-r01-topics-research-methods-dialogue-pris-d\" data-nx-z=\"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\"><title id=\"nx-dag-r01-topics-research-methods-dialogue-pris-t\">Research methods dialogue: systematic evidence synthesis<\/title><desc id=\"nx-dag-r01-topics-research-methods-dialogue-pris-d\">A question is framed with its owner and a protocol registered; records are searched, screened and checked for eligibility by two reviewers; data are extracted, synthesised and graded for certainty before a brief is written. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">Campbell Collaboration evidence and gap maps<\/td><td data-label=\"What it gives\">Study designs and coverage across social policy questions<\/td><td data-label=\"Licence class\">Open access, attribution<\/td><\/tr><tr><td data-label=\"Source\">Cochrane Handbook and methods guidance<\/td><td data-label=\"What it gives\">Standard methods for systematic reviews and their known limitations<\/td><td data-label=\"Licence class\">Free to read; reuse terms per item<\/td><\/tr><tr><td data-label=\"Source\">GRADE working group guidance<\/td><td data-label=\"What it gives\">A framework for rating the certainty of evidence and the strength of recommendations<\/td><td data-label=\"Licence class\">Free to read, working group terms<\/td><\/tr><tr><td data-label=\"Source\">OSF Registries<\/td><td data-label=\"What it gives\">Preregistered protocols and registered reports<\/td><td data-label=\"Licence class\">Open, terms of service<\/td><\/tr><tr><td data-label=\"Source\">FORRT Replication Database<\/td><td data-label=\"What it gives\">Records of replication attempts in the social and behavioural sciences<\/td><td data-label=\"Licence class\">Open, terms per release<\/td><\/tr><tr><td data-label=\"Source\">EQUATOR Network reporting guidelines<\/td><td data-label=\"What it gives\">Reporting standards by study design, such as CONSORT and STROBE<\/td><td data-label=\"Licence class\">Free to read, terms per guideline<\/td><\/tr><tr><td data-label=\"Source\">OECD Global Science Forum reports<\/td><td data-label=\"What it gives\">Policy analysis on reproducibility and research infrastructure<\/td><td data-label=\"Licence class\">Free to read, OECD terms<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/grf\/R01\/topics\/research-methods-dialogue\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Research Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Research funders<\/td><td data-label=\"The question\">Whether to require preregistration, data and code sharing, or to fund replication<\/td><td data-label=\"Evidence this page serves\">Comparative policies; evaluations of their effects with stated limits<\/td><\/tr><tr><td data-label=\"Who decides\">Evidence synthesis and guideline bodies<\/td><td data-label=\"The question\">Which study designs and certainty frameworks to use for a policy question<\/td><td data-label=\"Evidence this page serves\">Methods comparisons; known failures of design hierarchies in policy settings<\/td><\/tr><tr><td data-label=\"Who decides\">Government evaluation units and statistical offices<\/td><td data-label=\"The question\">Which evaluation designs to require for public programmes<\/td><td data-label=\"Evidence this page serves\">Methods dialogue records; feasibility and ethics of experimental and quasi-experimental designs<\/td><\/tr><tr><td data-label=\"Who decides\">Journal editors<\/td><td data-label=\"The question\">Whether to adopt registered reports and reporting guidelines<\/td><td data-label=\"Evidence this page serves\">EQUATOR guidance; replication evidence by field<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Methods seminars comparing designs on a shared risk question<\/li><li>Peer learning briefs on weighing mixed evidence for decisions<\/li><li>Dialogue records of methodological disagreements and their sources<\/li><li>Plain-language notes on the assumptions behind common methods<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What methods dialogue asks.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>What kind of claim can this method support: correlation, causation, mechanism, possibility?<\/li><li>How do results change when a different but defensible method is used?<\/li><li>How can quantitative and qualitative evidence be combined without losing the strengths of either?<\/li><li>What are the known failure modes of the methods most used in this field?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Why methods comparison matters.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Analyses of the same data by different expert teams often reach different conclusions, because each team makes defensible choices about variables, models and assumptions. This variation is a real source of uncertainty that single studies hide. Comparing methods openly reveals it and helps users judge how robust a finding is.<\/p><p class=\"nx-p\">Different methods also answer different questions. A randomized evaluation can show whether an intervention worked on average in one setting; a case study can show how and why it worked; a simulation can explore what might happen elsewhere. Confusion arises when one kind of evidence is asked to answer another kind of question.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and limits<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Practices for comparing methods.<\/h2><p class=\"nx-lede\">Methods comparison is most useful when it is routine rather than reserved for disputes. Several practices make it so, each with its own cost.<\/p><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Methods seminars<\/h3><p class=\"nx-p nx-mt-1\">Sessions where researchers present and challenge each other's methods. Limits: depend on openness and good faith.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Multi-team analyses<\/h3><p class=\"nx-p nx-mt-1\">Several teams analyse the same question independently. Limits: resource-intensive.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Causal inference frameworks<\/h3><p class=\"nx-p nx-mt-1\">Explicit causal assumptions and identification strategies, from <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/research\/stem\/causal-inference\/\">causal inference and impact evaluation<\/a>. Limits: assumptions cannot always be tested.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Mixed-methods synthesis<\/h3><p class=\"nx-p nx-mt-1\">Combining statistical and qualitative evidence, with <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/research\/stem\/probability-statistics\/\">probability and statistics<\/a>. Limits: no single agreed approach.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/research\/stem\/causal-inference\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Causal inference and impact evaluation<\/span><span class=\"nx-mledger-role\">Evaluating funder policy changes \u00b7 Assessing knowledge brokerage schemes<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\" aria-label=\"Causal inference and impact evaluation: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/research\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Building bibliometric indicators \u00b7 Detecting selective reporting<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\" aria-label=\"Probability and statistics: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/research\/stem\/policy-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Policy, institutional and decision science<\/span><span class=\"nx-mledger-role\">Comparing science advice systems \u00b7 Mapping integrity procedures<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/policy-science\/\" aria-label=\"Policy, institutional and decision science: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">No single design answers every question, and any comparison of methods depends on which outcomes are valued. Replication evidence is concentrated in a few fields and may not generalise. Certainty frameworks involve judgement that reasonable reviewers apply differently. Research Nexus convenes comparison and records disagreement; it does not rank methods for any institution, and evidence standards remain with the bodies that set them.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Is a randomised trial always the strongest evidence?<\/summary><div class=\"nx-answer\">No. It answers some causal questions well where it is feasible and ethical. Many policy questions need observational, quasi-experimental, modelling or qualitative evidence, judged against their own quality criteria.<\/div><\/details><details><summary>What is preregistration?<\/summary><div class=\"nx-answer\">Recording a study's hypotheses, design and analysis plan before seeing the outcome data. It separates planned from exploratory analysis and makes selective reporting visible.<\/div><\/details><details><summary>Why do methods disagree?<\/summary><div class=\"nx-answer\">Often because they rest on different assumptions or answer slightly different questions. Methods dialogue makes those differences explicit, so users can see which conclusion depends on which assumption.<\/div><\/details><details><summary>Is one method best for studying risk?<\/summary><div class=\"nx-answer\">No. Each method has strengths and limits. Robust conclusions usually draw on several.<\/div><\/details><details><summary>Why do expert teams reach different conclusions from the same data?<\/summary><div class=\"nx-answer\">Because many analytical choices are defensible, and different choices lead to different results. This is a real source of uncertainty.<\/div><\/details><details><summary>Can I present my methods at a seminar?<\/summary><div class=\"nx-answer\">Write to <a class=\"nx-link\" href=\"mailto:dialogues@globalriskforum.com?subject=Research%20Nexus%3A%20methods%20seminar\">dialogues@globalriskforum.com<\/a>. Seminars are scheduled only when their records are created; no date is promised in advance.<\/div><\/details><details><summary>Are seminar records published?<\/summary><div class=\"nx-answer\">Records are published in agreed form after participants have checked them for accuracy, and they state any attribution rule that applied.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around Research Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskforum.com\/research\/topics\/risk-research-dialogue\/\">Risk research dialogue <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/research\/topics\/risk-knowledge-translation\/\">Risk knowledge translation <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/research\/topics\/research-integrity\/\">Research integrity <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/research\/topics\/collaborative-research\/\">Collaborative research <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/research\/topics\/science-policy-interface\/\">The science-policy interface <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/research\/topics\/global-research-networks\/\">Global research networks <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/research\/\">Research Nexus home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/research\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/\">The Global Risks Forum home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskforum.com\/trust\/\">GRF governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Research Nexus<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@globalriskforum.com?subject=Research%20Nexus%3A%20Research%20methods%20dialogue\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskforum.com\/research\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/globalriskforum.com\/research\/topics\/research-methods-dialogue\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskforum.com\/research\/topics\/research-methods-dialogue\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Is a randomised trial always the strongest evidence?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. It answers some causal questions well where it is feasible and ethical. 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