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1
On
Computer Science Trends
and Priorities in Palestine
Workshop onّ IT Research Trends and Priorities
Islamic University of Gaza, Palestine
28 March, 2015
Mustafa Jarrar
Computer Science
Birzeit University, Palestine
mjarrar@birzeit.edu
http://sina.birzeit.edu
‫االتجاهات‬‫المعلومات‬ ‫تقنية‬ ‫مجال‬ ‫في‬ ‫العلمية‬‫واألولويات‬‫فلسطين‬ ‫في‬
2
Good News – Be Prepared!
Source: http://www.geekwire.com/2014/analysis-examining-computer-science-education-explosion/
3
Outline
On Current Trends in Computer Science
 Trends in ACM and IEEE datasets (study)
 ICT Trends in Horizon 2020
 Current Trends in some top IT conferences.
Research Trends/Projects at Sina Institute – Birzeit University
Arabic Language Projects
e-Government Projects
Industry Related Projects
The Annual iArabic Symposium
On Palestinian ICT Priorities
The Palestinian Challenges and Opportunities
Why to Palestinians Research Thematic Priorities
4
Trends in Computer Science Research, 2013
Apirak Hoonlor, Boleslaw K. Szymanski and M. Zaki,
Communications of the ACM, 56(10), Oct. 2013, pp.74-83
This study was conducted by:
Top 20 Trends Bottom 20 Trends
ACM Dataset (2005-2010):
* Cloud Computing
* Social Networks
* Privacy
* Design
* Recommender systems
* Collaboration
* fpga
* User experience
* Virtualization
* Wireless sensor networks
* Wikipedia
* Visualization
* Evaluation
* Web 2.0
* Collaboration filtering
* Search
* Sustainability
* Performance
* Internet
* fault tolerance
* Approximation algorithm
* Cryptography
* Optimal control
* Neural network
* Finite elements
* Scheduling
* Computational complexity
* xml
* Web services
* Quality of services
* Wireless networks
* Stability
* Sensor Networks
* 02.30.yy
* Genetic algorithms
* Grid computing
* Ad hoc networks
*Neural networks
5
Trends in Computer Science Research, 2013
Apirak Hoonlor, Boleslaw K. Szymanski and M. Zaki,
Communications of the ACM, 56(10), Oct. 2013, pp.74-83
This study was conducted by:
Top 20 Trends Bottom 20 Trends
IEEE Dataset (2005-2010):
* Network
* Sensing
* Database
* regression
* Cloud Computing
* Clustering
* Information Systems
* support Vector Machine
* Neural Networks
* Data mining
* Network model
* Machine Learning
* Data transformation
* clustering algorithm
* factor analysis
* virtual machine
* image processing
* different evolution
* Finite element method
* Computer vision
* Network architecture
* Error correction
* Software Engineering
* Reinforcement learning
* Software agents
* Microelectronics
* Genetic algorithm
* Finite differences
* xml
* Integrated circuit
* Telecommunications
* Ubiquitous computing
* vhdl
* Microprocessor
* Distributed system
* Grid computing
* Internet
* Digital signal processing
* Montecarlo
6
ICT Trends in EU Horizon 2020
 Horizon 2020 is the largest research program in the history
 A seven-years program
 ICT is seen as a horizontal, rather than a vertical sector.
 The most heighted ICT vertical sectors are (not ordered):
• Big data
• Social Networks and social media
• Natural Language Processing
• e-learning
• Smart System Integration
• e-Government
• Software Development
• Cybersecurity
• gaming technologies
• Human computer interaction
• Cloud Services
• Robotics
• Nano technologies
• Internet of Things
• Smart Cyber-Physical Systems
• Thin/Organic Electronics
• Smart Networks
• 5G Network
• Green computing
* Some themes are re-names for simplicity
7
VLDB 2015 (Data)
SIGMOD 2015 (Data)
ISWC 2015 (Web)
WWW 2015 (Web)
Current Trends in Top Conferences (selected)
Storage, Indexing, Scalable Data Analysis, Data Models and Languages, semi-structured;
multi-media, temporal and spatial data; Domain-Specific, Web and Heterogeneous Data:
User Interfaces and Social Data:
Storage, indexing, Text database, XML, Cloud computing, MapReduce, Security, privacy,
data warehouses, analytics, Streams, Knowledge discovery, data mining, Spatial, temporal,
multimedia and scientific databases, Graph management, RDF, social networks, Database
models, integration, Crowd sourcing
Linked Data, Web Databases, Retrieval, Extraction, Knowledge representation, reasoning,
Semantic data analysis, Ontology engineering, Ontology-based integration,Multilinguality,
visualization,Personalized access,Geospatial, streams
Behavioral Analysis, Personalization, Crowdsourcing, Social Media, Content Analysis,
Security, Privacy, Semantic Web, Social Networks, Graph Analysis, Datacenters, Content
Delivery Networks, Cloud, Web Mining, Web Search
8
ACL 2015 (Natural Language Processing)
COLING 2015 (Natural Language Processing)
KDD 2015 (Data Maning)
ICDM 2015 (Data Maning)
Current Trends in Top Conferences (selected)
Search, Classification, Morphological Analyses, Lexical semantics and ontologies, NLP
applications, Tagging and chunking, Sentiment, Text mining, information extraction,
Phonology, word segmentation, Cognitive modeling …..
cognitive, mathematical and computational models of language processing, generation
and summarization, information extraction and knowledge base linking, machine learning
for natural language, applications and language resources, tagging and chunking, sentiment
analysis, opinion mining
Big Data, social network analysis, recommender systems, data mining model selection,
distributed data mining platforms and algorithms, distributed computing, web mining,
bioinformatics, semi-supervised learning
statistical methods for data mining, Machine learning, Mining text, theory of data mining,
spatio-temporal, streaming, graph, Data mining systems and platforms, Data mining
9
SECRYPT 2015 (Information Security)
SIGGRAPH 2015 (Computer Graphics)
ICSE 2015 (Software Engineering)
Current Trends in Top Conferences (selected)
Data Integrity, Data Protection, Database Security and Privacy, Digital Forensics, Network
Security, Applied Cryptography, Biometrics Security and Privacy, Formal Methods, Human
Behavior Recognition, Software Security, PKI, Digital Signature
Computer Animation, Image and Video Processing, Rendering Techniques, Applications of
Computational Geometry, Computer Theory and Engineering, Information Visualization,
Computer Vision, Virtual Reality and Augmented Reality, 3D Printing
Agile software development, Cloud computing, Human-computer interaction, Middleware,
frameworks, Mobile applications, Parallel, distributed systems, Reverse engineering,
Program analysis, Ubiquitous, pervasive, Software architecture, Security, privacy, Software
modeling and design
10
Outline
On Current Trends in Computer Science
 Trends in ACM and IEEE Datasets (study)
 ICT Trends in Horizon 2020
 Current Trends in some top IT conferences.
Research Trends/Projects at Sina Institute – Birzeit University
Arabic Language Projects
E-Government Projects
Industry Related Projects
The Annual iArabic symposium
On Palestinian ICT Priorities
The Palestinian Challenges and Opportunities
Why to Palestinians Research Thematic Priorities
11
Research Tends and Projects
@ Sina Institute, Birzeit University
Ontology Engineering, Arabic Natural language ,
Arabic Lexical Semantics, Knowledge Management,
Semantic Web, Interoperability, eGoverments, Web
Data Management, Information Systems, Database,
Data Modeling, Logic, Business Rules, Legal
ontologies. processing, Information Retrieval,
Artificial Intelligence , Reasoning, Computers and
Society, Mobile Applications.
12
Sina Institute
Birzeit University, Palestine
• Founded in 2011.
• Among the top R&D centers in the Arab world.
• Coordinator of several FP7, TEMPUS projects.
http://sina.birzeit.edu
13
We have
Tools, Content, and Solutions
MashQL
A query formulation
language for
querying/mashing up web
semi-structured data
Graph Signature
Indexing and query
optimization for big
datasets, RDF/Graph
databases
(Much faster than Oracle 11g ST)
Lexical Database
100s of multilingual
dictionaries digitized and
Integrated into one huge
Lexical database
Arabic Ontology
Can be used as Arabic
Wordnet, but it’s much
more sophisticated, with
clean Top level concepts.
Arabic NLP Tools
Categorizer, Spelling tools,
root extractor, Query
Expansion, Language
detector, and many tools
Multilingual Ontology
Studio
Cross-lingual Mapping
framework, Matching
Algorithms. Smart portal
Arabic Entities
A repository of Arabic
named entities, and tools
extract, process, and link
them
E-Learning Material
500 teaching hours (10
courses) in advanced topics
related to e-Governance
(slides and video online)
(e-Government Academy)
Interoperability
Framework
E-Gov Ontology, Service
Repository, Service Bus,
address server
implemented by all ministries
14
Our Projects
Arabic Ontology
Project Coordinator
To build a formal Ontology to represent
all meanings of Arabic terms.
Palestinian Dialect
Corpus
Project Coordinator.
Build a corpus, map to the Arabic Ontology,
and tools for processing it.
Web Content Quality
Project Coordinator
Techniques to evaluate and increase quality
Arabic web content.
Wojood
Project Coordinator
Research Excellency in tools and APIs for
Arabic NLP.
funded
VerbMesh
Project Coordinator
To build a large-scale graph of Arabic
Verbs.
SIERA
Project Coordinator (5 partners).
Multilingual & Multicultural Knowledge
Sharing Technologies.
15
MOSAIC
Project partner, (12 partners)
Link EU Mediterranean ICT industries and
prepare them for Horizon 2020.
E-Gov Academy
Project Coordinator (11 partners).
Establish the e-Government Academy &
train ministries to build e-services.
Tempus
Zinnar
Inventor and knowledge Partner
Help Palestinian ministries build The e-
Government interoperability framework.
CovSeer
Partner, (2 partners)
Help On Interoperability of e-Government
Services
Cooper
Link
Our Projects
16
Organizing Annual Symposium @Sina Institute
‫فلسطين‬ ‫في‬ ‫العربي‬ ‫والمحتوى‬ ‫ة‬ّ‫ي‬‫الحاسوب‬ ‫ات‬ّ‫ي‬‫للسان‬ ‫الثالثة‬ ‫ة‬ّ‫ي‬‫نو‬ّ‫س‬‫ال‬ ‫دوة‬ّ‫ن‬‫ال‬
The Annual Palestinian Symposium on Computational Linguistics and
Arabic Content
http://sina.birzeit.edu/iarabic2013-en/
17
Arabic Ontology Project (funded by Birzeit University)
http://sites.birzeit.edu/comp/ArabicOntology
Formal Ontology to represent
all meanings of Arabic terms
18
SIERA Project (FP7 funded)
On developing Multilingual Search Engines
Test beds : Cultural Heritage, environment &ecosystems
http://sina.birzeit.edu/SIERA
19
To building a high coverage and well-annotated corpus for the
Palestinian Arabic dialect to be used to create NLP tools such as
machine translation.
http://sina.birzeit.edu/projects/curras/
Funded by
Corpus for the Palestinian dialect
‫الفلسطينية‬ ‫العامية‬ ‫اللهجة‬ ‫مدونة‬
20
Wojood (Google funded)
http://www.wojoodapis.com
On developing tools and APIs for Arabic Language Processing
21
Graph of Arabic Verbs
‫العربية‬ ‫األفعال‬ ‫شبكة‬
To build a large-scale pattern-based inflectional verbs
morphology (Graph Database)
VerbMesh (funded by Birzeit University)
22
MashQL (cooperation with the university of Cyprus)
A query formulation language and
query optimization for Graph Databases
A query formulation language for querying and mashing up structured data
on the Web (including a novel query optimization technique )
Was funded by the EU
SearchIn Project
http://sites.birzeit.edu/comp/mashql/
23
GovSeer Project (Italian funded)
http://sites.birzeit.edu/comp/GovSeer
On Interoperability of e-Government Services
24
E-government Academy (by Tempus)
Establish the Palestinian e-Government Academy
and train Palestinian ministries to build e-government
services
www.egovacademy.ps
25
Zinnar (The Palestinian e-Government framework)
www.egovacademy.ps
A framework for e-government interoperability
26
Cooperation with Mediterranean Partners to build Opportunities
around ICT and Societal And Industrial Challenges of Horizon 2020
http://www.mosaic-med.eu/web/
27
Outline
On Current Trends in Computer Science
 Trends in ACM and IEEE Datasets (study)
 ICT Trends in Horizon 2020
 Current Trends in some top IT conferences.
Research Trends/Projects at Sina Institute – Birzeit University
Arabic Language Projects
E-Government Projects
Industry Related Projects
The Annual iArabic symposium
On Palestinian ICT Priorities
The Palestinian Challenges and Opportunities
Why to Palestinians Research Thematic Priorities
28
The Palestinian Context
Some Key Challenges and Weakness
• Political: instability – national needs and priorities keep changing.
• Political: brain-drain –Intellectuals attracted by other countries.
• Economical: Weak state – little money and experience.
• Economical: No/little national research funding.
• Social: Palestinians love certificates more than knowledge.
• Bureaucracy: No incentives for researchers –not necessary money!
• Bureaucracy: Old-style research, old-style staff in administration.
• Bureaucracy: Universities became teaching-oriented.
• … among others!
29
Some Key Strengths and Opportunities
• Political: Real-life difficulties are drivers of innovation!
• Political: Many Palestinians intellectuals abroad to network with!
• Political: Many international donors like to support Palestinians.
• Political: Palestinians have access to most EU programs.
• Social: Palestinians are energetic and handworkers.
• … among others!
The Palestinian Context
30
Why to set ICT Thematic Priorities
Improve Teaching: update curricula with modern topics - to meet
market needs and improve employability.
Guide New Staff: encourage PhD students (future instructors) to seek
and target more relevant themes.
Foster Innovation: encourage sound and more relevant research –
meet national needs.
Build Excellency: encourage researchers to build excellency in some
important themes.
Why Palestinian universities should define their thematic
priorities (i.e., the important ICT topics)?
Thematic priorities will help to:
31
Suggested Thematic Priorities (For Discussion)
Based on personal observations (IT needs)
The most important themes we should target in Palestine are:
Research/Excellency
1. Computational Linguistics
2. Social Networks
3. Security
4. Software Localization
5. E-Services
Teaching
1. Security
2. Social Networks
3. Data mining
4. Machine learning
5. System/Data Integration
6. Business Process Manag.
7. GIS
8. Cloud Computing
9. Big Data
10. IT laws
32
http://sina.birzeit.edu
https://www.facebook.com/SinaInstitute

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On Computer Science Trends and Priorities in Palestine

  • 1. 1 On Computer Science Trends and Priorities in Palestine Workshop onّ IT Research Trends and Priorities Islamic University of Gaza, Palestine 28 March, 2015 Mustafa Jarrar Computer Science Birzeit University, Palestine mjarrar@birzeit.edu http://sina.birzeit.edu ‫االتجاهات‬‫المعلومات‬ ‫تقنية‬ ‫مجال‬ ‫في‬ ‫العلمية‬‫واألولويات‬‫فلسطين‬ ‫في‬
  • 2. 2 Good News – Be Prepared! Source: http://www.geekwire.com/2014/analysis-examining-computer-science-education-explosion/
  • 3. 3 Outline On Current Trends in Computer Science  Trends in ACM and IEEE datasets (study)  ICT Trends in Horizon 2020  Current Trends in some top IT conferences. Research Trends/Projects at Sina Institute – Birzeit University Arabic Language Projects e-Government Projects Industry Related Projects The Annual iArabic Symposium On Palestinian ICT Priorities The Palestinian Challenges and Opportunities Why to Palestinians Research Thematic Priorities
  • 4. 4 Trends in Computer Science Research, 2013 Apirak Hoonlor, Boleslaw K. Szymanski and M. Zaki, Communications of the ACM, 56(10), Oct. 2013, pp.74-83 This study was conducted by: Top 20 Trends Bottom 20 Trends ACM Dataset (2005-2010): * Cloud Computing * Social Networks * Privacy * Design * Recommender systems * Collaboration * fpga * User experience * Virtualization * Wireless sensor networks * Wikipedia * Visualization * Evaluation * Web 2.0 * Collaboration filtering * Search * Sustainability * Performance * Internet * fault tolerance * Approximation algorithm * Cryptography * Optimal control * Neural network * Finite elements * Scheduling * Computational complexity * xml * Web services * Quality of services * Wireless networks * Stability * Sensor Networks * 02.30.yy * Genetic algorithms * Grid computing * Ad hoc networks *Neural networks
  • 5. 5 Trends in Computer Science Research, 2013 Apirak Hoonlor, Boleslaw K. Szymanski and M. Zaki, Communications of the ACM, 56(10), Oct. 2013, pp.74-83 This study was conducted by: Top 20 Trends Bottom 20 Trends IEEE Dataset (2005-2010): * Network * Sensing * Database * regression * Cloud Computing * Clustering * Information Systems * support Vector Machine * Neural Networks * Data mining * Network model * Machine Learning * Data transformation * clustering algorithm * factor analysis * virtual machine * image processing * different evolution * Finite element method * Computer vision * Network architecture * Error correction * Software Engineering * Reinforcement learning * Software agents * Microelectronics * Genetic algorithm * Finite differences * xml * Integrated circuit * Telecommunications * Ubiquitous computing * vhdl * Microprocessor * Distributed system * Grid computing * Internet * Digital signal processing * Montecarlo
  • 6. 6 ICT Trends in EU Horizon 2020  Horizon 2020 is the largest research program in the history  A seven-years program  ICT is seen as a horizontal, rather than a vertical sector.  The most heighted ICT vertical sectors are (not ordered): • Big data • Social Networks and social media • Natural Language Processing • e-learning • Smart System Integration • e-Government • Software Development • Cybersecurity • gaming technologies • Human computer interaction • Cloud Services • Robotics • Nano technologies • Internet of Things • Smart Cyber-Physical Systems • Thin/Organic Electronics • Smart Networks • 5G Network • Green computing * Some themes are re-names for simplicity
  • 7. 7 VLDB 2015 (Data) SIGMOD 2015 (Data) ISWC 2015 (Web) WWW 2015 (Web) Current Trends in Top Conferences (selected) Storage, Indexing, Scalable Data Analysis, Data Models and Languages, semi-structured; multi-media, temporal and spatial data; Domain-Specific, Web and Heterogeneous Data: User Interfaces and Social Data: Storage, indexing, Text database, XML, Cloud computing, MapReduce, Security, privacy, data warehouses, analytics, Streams, Knowledge discovery, data mining, Spatial, temporal, multimedia and scientific databases, Graph management, RDF, social networks, Database models, integration, Crowd sourcing Linked Data, Web Databases, Retrieval, Extraction, Knowledge representation, reasoning, Semantic data analysis, Ontology engineering, Ontology-based integration,Multilinguality, visualization,Personalized access,Geospatial, streams Behavioral Analysis, Personalization, Crowdsourcing, Social Media, Content Analysis, Security, Privacy, Semantic Web, Social Networks, Graph Analysis, Datacenters, Content Delivery Networks, Cloud, Web Mining, Web Search
  • 8. 8 ACL 2015 (Natural Language Processing) COLING 2015 (Natural Language Processing) KDD 2015 (Data Maning) ICDM 2015 (Data Maning) Current Trends in Top Conferences (selected) Search, Classification, Morphological Analyses, Lexical semantics and ontologies, NLP applications, Tagging and chunking, Sentiment, Text mining, information extraction, Phonology, word segmentation, Cognitive modeling ….. cognitive, mathematical and computational models of language processing, generation and summarization, information extraction and knowledge base linking, machine learning for natural language, applications and language resources, tagging and chunking, sentiment analysis, opinion mining Big Data, social network analysis, recommender systems, data mining model selection, distributed data mining platforms and algorithms, distributed computing, web mining, bioinformatics, semi-supervised learning statistical methods for data mining, Machine learning, Mining text, theory of data mining, spatio-temporal, streaming, graph, Data mining systems and platforms, Data mining
  • 9. 9 SECRYPT 2015 (Information Security) SIGGRAPH 2015 (Computer Graphics) ICSE 2015 (Software Engineering) Current Trends in Top Conferences (selected) Data Integrity, Data Protection, Database Security and Privacy, Digital Forensics, Network Security, Applied Cryptography, Biometrics Security and Privacy, Formal Methods, Human Behavior Recognition, Software Security, PKI, Digital Signature Computer Animation, Image and Video Processing, Rendering Techniques, Applications of Computational Geometry, Computer Theory and Engineering, Information Visualization, Computer Vision, Virtual Reality and Augmented Reality, 3D Printing Agile software development, Cloud computing, Human-computer interaction, Middleware, frameworks, Mobile applications, Parallel, distributed systems, Reverse engineering, Program analysis, Ubiquitous, pervasive, Software architecture, Security, privacy, Software modeling and design
  • 10. 10 Outline On Current Trends in Computer Science  Trends in ACM and IEEE Datasets (study)  ICT Trends in Horizon 2020  Current Trends in some top IT conferences. Research Trends/Projects at Sina Institute – Birzeit University Arabic Language Projects E-Government Projects Industry Related Projects The Annual iArabic symposium On Palestinian ICT Priorities The Palestinian Challenges and Opportunities Why to Palestinians Research Thematic Priorities
  • 11. 11 Research Tends and Projects @ Sina Institute, Birzeit University Ontology Engineering, Arabic Natural language , Arabic Lexical Semantics, Knowledge Management, Semantic Web, Interoperability, eGoverments, Web Data Management, Information Systems, Database, Data Modeling, Logic, Business Rules, Legal ontologies. processing, Information Retrieval, Artificial Intelligence , Reasoning, Computers and Society, Mobile Applications.
  • 12. 12 Sina Institute Birzeit University, Palestine • Founded in 2011. • Among the top R&D centers in the Arab world. • Coordinator of several FP7, TEMPUS projects. http://sina.birzeit.edu
  • 13. 13 We have Tools, Content, and Solutions MashQL A query formulation language for querying/mashing up web semi-structured data Graph Signature Indexing and query optimization for big datasets, RDF/Graph databases (Much faster than Oracle 11g ST) Lexical Database 100s of multilingual dictionaries digitized and Integrated into one huge Lexical database Arabic Ontology Can be used as Arabic Wordnet, but it’s much more sophisticated, with clean Top level concepts. Arabic NLP Tools Categorizer, Spelling tools, root extractor, Query Expansion, Language detector, and many tools Multilingual Ontology Studio Cross-lingual Mapping framework, Matching Algorithms. Smart portal Arabic Entities A repository of Arabic named entities, and tools extract, process, and link them E-Learning Material 500 teaching hours (10 courses) in advanced topics related to e-Governance (slides and video online) (e-Government Academy) Interoperability Framework E-Gov Ontology, Service Repository, Service Bus, address server implemented by all ministries
  • 14. 14 Our Projects Arabic Ontology Project Coordinator To build a formal Ontology to represent all meanings of Arabic terms. Palestinian Dialect Corpus Project Coordinator. Build a corpus, map to the Arabic Ontology, and tools for processing it. Web Content Quality Project Coordinator Techniques to evaluate and increase quality Arabic web content. Wojood Project Coordinator Research Excellency in tools and APIs for Arabic NLP. funded VerbMesh Project Coordinator To build a large-scale graph of Arabic Verbs. SIERA Project Coordinator (5 partners). Multilingual & Multicultural Knowledge Sharing Technologies.
  • 15. 15 MOSAIC Project partner, (12 partners) Link EU Mediterranean ICT industries and prepare them for Horizon 2020. E-Gov Academy Project Coordinator (11 partners). Establish the e-Government Academy & train ministries to build e-services. Tempus Zinnar Inventor and knowledge Partner Help Palestinian ministries build The e- Government interoperability framework. CovSeer Partner, (2 partners) Help On Interoperability of e-Government Services Cooper Link Our Projects
  • 16. 16 Organizing Annual Symposium @Sina Institute ‫فلسطين‬ ‫في‬ ‫العربي‬ ‫والمحتوى‬ ‫ة‬ّ‫ي‬‫الحاسوب‬ ‫ات‬ّ‫ي‬‫للسان‬ ‫الثالثة‬ ‫ة‬ّ‫ي‬‫نو‬ّ‫س‬‫ال‬ ‫دوة‬ّ‫ن‬‫ال‬ The Annual Palestinian Symposium on Computational Linguistics and Arabic Content http://sina.birzeit.edu/iarabic2013-en/
  • 17. 17 Arabic Ontology Project (funded by Birzeit University) http://sites.birzeit.edu/comp/ArabicOntology Formal Ontology to represent all meanings of Arabic terms
  • 18. 18 SIERA Project (FP7 funded) On developing Multilingual Search Engines Test beds : Cultural Heritage, environment &ecosystems http://sina.birzeit.edu/SIERA
  • 19. 19 To building a high coverage and well-annotated corpus for the Palestinian Arabic dialect to be used to create NLP tools such as machine translation. http://sina.birzeit.edu/projects/curras/ Funded by Corpus for the Palestinian dialect ‫الفلسطينية‬ ‫العامية‬ ‫اللهجة‬ ‫مدونة‬
  • 20. 20 Wojood (Google funded) http://www.wojoodapis.com On developing tools and APIs for Arabic Language Processing
  • 21. 21 Graph of Arabic Verbs ‫العربية‬ ‫األفعال‬ ‫شبكة‬ To build a large-scale pattern-based inflectional verbs morphology (Graph Database) VerbMesh (funded by Birzeit University)
  • 22. 22 MashQL (cooperation with the university of Cyprus) A query formulation language and query optimization for Graph Databases A query formulation language for querying and mashing up structured data on the Web (including a novel query optimization technique ) Was funded by the EU SearchIn Project http://sites.birzeit.edu/comp/mashql/
  • 23. 23 GovSeer Project (Italian funded) http://sites.birzeit.edu/comp/GovSeer On Interoperability of e-Government Services
  • 24. 24 E-government Academy (by Tempus) Establish the Palestinian e-Government Academy and train Palestinian ministries to build e-government services www.egovacademy.ps
  • 25. 25 Zinnar (The Palestinian e-Government framework) www.egovacademy.ps A framework for e-government interoperability
  • 26. 26 Cooperation with Mediterranean Partners to build Opportunities around ICT and Societal And Industrial Challenges of Horizon 2020 http://www.mosaic-med.eu/web/
  • 27. 27 Outline On Current Trends in Computer Science  Trends in ACM and IEEE Datasets (study)  ICT Trends in Horizon 2020  Current Trends in some top IT conferences. Research Trends/Projects at Sina Institute – Birzeit University Arabic Language Projects E-Government Projects Industry Related Projects The Annual iArabic symposium On Palestinian ICT Priorities The Palestinian Challenges and Opportunities Why to Palestinians Research Thematic Priorities
  • 28. 28 The Palestinian Context Some Key Challenges and Weakness • Political: instability – national needs and priorities keep changing. • Political: brain-drain –Intellectuals attracted by other countries. • Economical: Weak state – little money and experience. • Economical: No/little national research funding. • Social: Palestinians love certificates more than knowledge. • Bureaucracy: No incentives for researchers –not necessary money! • Bureaucracy: Old-style research, old-style staff in administration. • Bureaucracy: Universities became teaching-oriented. • … among others!
  • 29. 29 Some Key Strengths and Opportunities • Political: Real-life difficulties are drivers of innovation! • Political: Many Palestinians intellectuals abroad to network with! • Political: Many international donors like to support Palestinians. • Political: Palestinians have access to most EU programs. • Social: Palestinians are energetic and handworkers. • … among others! The Palestinian Context
  • 30. 30 Why to set ICT Thematic Priorities Improve Teaching: update curricula with modern topics - to meet market needs and improve employability. Guide New Staff: encourage PhD students (future instructors) to seek and target more relevant themes. Foster Innovation: encourage sound and more relevant research – meet national needs. Build Excellency: encourage researchers to build excellency in some important themes. Why Palestinian universities should define their thematic priorities (i.e., the important ICT topics)? Thematic priorities will help to:
  • 31. 31 Suggested Thematic Priorities (For Discussion) Based on personal observations (IT needs) The most important themes we should target in Palestine are: Research/Excellency 1. Computational Linguistics 2. Social Networks 3. Security 4. Software Localization 5. E-Services Teaching 1. Security 2. Social Networks 3. Data mining 4. Machine learning 5. System/Data Integration 6. Business Process Manag. 7. GIS 8. Cloud Computing 9. Big Data 10. IT laws