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Asia-Pacific tech monitor. Vol. 21, No. 2, Mar - Apr 2004
No full textDeveloping entrepreneurialism : The "inno-preneurship" paradigm / Anthony S. C. Teo and Bee-Leng Chua
Technology commercialization : Recent activities in Korea / Dongseop Kim and Jungwon Hwang
Japanese technology policy on technology transfer : Development of technology licensing organizations and incubators / Yuko Harayama
University spin-offs in Japan : From university-industry collaboration to university-industry crossover / Masayuki Kondo
Internal incubators in Chinese state-owned enterprises : Management challenges / Max von Zedtwitz and Li Que
Innovations and national policies : Taiwan's flat panel display industry / Yao-Jen Liu and Shang-Jyh Liu
Transnational R&D in China : Analyzing the potential and the hurdles / Oliver Gassmann and Zheng Ha
Key elements for developing ageing policies in Asia and the Pacific
Get PDFThe working paper provides guidance on what should be considered when policies on population ageing and older persons are being developed. It provides information on the policy context and existing global policy instruments that inform ageing policies. It further discusses how policy responses to population ageing and addressing the situation of older persons can be developed, ranging from establishing institutional arrangements, policy planning, stakeholder engagement as well as planning for implementation and monitoring. The paper provides a range of policy options and good practice examples of policies and processes from countries in the Asia-Pacific region. The paper concludes with a checklist of policy elements and processes to consider in the policy process.</p
VATIS update : biotechnology. Vol. 1, No. 80, Jul-Aug 2006
Get PDFVATIS Update Biotechnology is published 4 times a year to keep the readers up to date of most of the relevant and latest technological developments and events in the field of Biotechnology. The Update is tailored to policy-makers, industries and technology transfer intermediaries.Highlights •
IVF could cause errors in genetic imprinting •
Statins stop replication of hepatitis C virus •
Molecular mechanism of a diabetes vaccine revealed •
New oestrogen receptor opens up drug possibilities •
Killer tomatoes target human diseases •
Hepatitis B antigen expressed in potato root •Contents
Vol. 1 No. 80 Jul-Aug 2006
IN THE NEWS 4
United Nations commission to study HIV/AIDS in Asia-Pacific Africa Seeks common stance on genetic modification ✓ A global health centre to fight against diseases ✓ EU and the United States work jointly on biotechnology research ✓ US$3 billion bid to boost biotech in Brazil
Funding boost for research into TB and malaria drugs
MARKET NEWS 6
Celera Genomics and Medarex set to collaborate against cancer ✓ Invitrogen and HUPO enter research partnership SemBioSys obtains rights to platform enhancing technologies from Syngenta ✓ EiRx therapeutics and bioMérieux announce collaboration Novozymes acquires Delta Biotechnology
GlaxoSmithKline and Galapagos enter into alliance in osteoarthritis
GENOMICS 8
A gene predisposing to pituitary tumours identified ✓ Gene therapy for cancer found effective in mice✓ IVF could cause errors in genetic imprinting ✓ Species split more recent, human and chimp genomes reveal ✓ Down syndrome gene identified
MEDICAL BIOTECH 10
New potential drug target in tuberculosis treatment ✓ Asthma drug effectiveness dependent on genes ✓ Central nervous system beckons attack in MS-like disease ✓ New source of multi-potent adult stem cells in humans ✓ Statins stop replication of hepatitis C virus
PROTEOMICS 12
Molecular mechanism of a diabetes vaccine revealed
that targets leukemia and lymphoma cells New hybrid method sequences genome quicker and cheaper ✓ Scientists identify protein
with a crucial role in cell death ✓ Structure determined for DNA-bound p53 tumour suppressor protein ✓ The role of transcription factor protein in cell death Unusual mechanism keeps repair protein accurate New oestrogen receptor opens up drug possibilities
AGRI BIOTECH 15
‘Plantibody’ breakthrough for hepatitis vaccine
anti-cancer activity in research ✓ Killer tomatoes target human diseases
✓ Hepatitis B antigen expressed in potato root Plants yield key to “silencing” HIV genes Rice gene makes tobacco disease-resistant, salt-tolerant Scientists to get to the root of plant cell fate
RECENT PUBLICATIONS 18
TECH EVENTS 1
Big data for the SDGs : country examples in compiling SDG indicators using non-traditional data sources
Get PDFTo support implementation at all levels, the 2030 Agenda for Sustainable Development recognises the need to exploit the contribution to be made by a wide range of data including Earth observations and geospatial information. Five years on, there are few examples of countries exploiting non-traditional data sources for the global SDG monitoring framework. Furthermore, where examples do exist, they are making use of only two types of non-traditional data: Earth observations and geospatial information, and citizen-generated data. And in the case of citizen-generated data, only examples from one country (the Philippines) are found. Significantly, the examples found were all classified as experimental. This paper encourages countries to make more use of a wide range of data for addressing the data challenges of the 2030 Agenda for Sustainable Development.TABLE OF CONTENTS
Introduction ......................................................................................................... 1
Global Working Group on Big Data for Official Statistics Task Team on Big Data for the SDGs ......... 1
Which SDG indicators can benefit from big data sources? .................................... 1
Which SDG indicators are countries exploiting big data for?................................... 2
Are there any countries assessing the potential of big data for the SDG indicators?. 3
Further research opportunities................................................................................ 3
Figure 1. SDG indicators that can be supported by big data and that have specific country examples.................4
Table 1. List of SDG targets that could be supported with big data source...............
