#COVID19, lockdowns, social distancing etc. have imposed limitations on the usual research methods. In this new environment, we have to rethink not only how we do research but the kinds of research questions we ask. @tharaka__ and @Isusamaratunga discuss
https://t.co/BlkP0kJqlK
46% of #lka 5-59 population are 'digitally literate' as per @LankaSTAT's 2019 (Annual) Computer Literacy Statistics report https://t.co/GNdENdVrHD But digital literacy is more than just being able to 'use' a device independently. @AfterAccess
@sanjanah@agalappatti More here. There are still approximately 331K Sri Lankans out if the reach of mobiles, so other complimentary options needed to reach such people. https://t.co/4bh8aFBl6w
@Kauship1@LIRNEasia@ColomboUni Even if a household has a working and connected device, there are still further barriers of data affordability and lack of skills (not just basic but to ensure safe/secure experience, particularly if you're talking about kids, but applies for other vulnerable groups also).
#MSMEs have been hit hard by #COVID19 and the future for #lka#MSMEs looks bleak according to @FT_SriLanka https://t.co/wizPgxAidq
If more MSMEs got online and improved their capability for digital payments, could this help them bounce back?
For example our study found that despite the good supply side policies in #Rwanda from our @AfterAccess work we found it to have less than 10% Internet uptake and a 60% gender gap @rightscon#cyberpolicy
Tax on data services now 16.67% (prev 11.35%). Other services now 27.77% (prev 21.96%).
Unfortunate as just 13% of Bangladeshis (15-65 yrs) reportedly used the internet; 1/3rd of #Bangladesh internet users (15-65 yrs) cited costly data as a barrier. @AfterAccess@LIRNEasia
@AfterAccess@LIRNEasia findings showed 61% of #Bangladesh mobile phone owners had internet-enabled phones. Even with supposedly cheaper locally made handsets available in the market, 35% of Bangladeshis (15-65) said they could not afford a device.
In the @AfterAccess The digital gender gap mirrors offline gender inequality. Education levels and their associated income are what drive women across the regions to adopt new servicesand technologies. @UNSGdigicoop @LIRNEasia@olatics@rightscon#RightsCon2019