Meet us at MWC

This year, yet again, OpenSignal will be at Mobile World Congress. The conference in Barcelona is one of the high points of the year for everyone involved in the mobile space and a great space to see the developing trends in mobile and related industries. Our stand is in the same place as last year, so if you’re going to be at MWC then do come and look us up. The map below is a handy guide on how to find us, we’ll be in Hall 7 at booth 7b15. mwc_booth_directions


The map is slightly confusing (the aerial walkway looks suspiciously like a river) but if you’re in that area then the booth (and people within it) will look something like this:

2014-02-27 16.14.24We hope to see you at MWC, the conference is always productive and exciting and we’re looking forward to forming many more fruitful partnerships there again this year.

See you at booth 7b15!

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Mobile Sensor Networks: Creating a Social Laboratory

What is a smartphone? That seems like a simple question. On one level a smartphone is a communication device that allows people to communicate with each other, either by text or call, or over the Internet. The focus is always on person-to-person communication, but the modern smartphone is capable of communicating in ways that don’t require the involvement of any person at all.

Smartphones are increasingly laden with sensors, with common devices containing a barometer, lightmeter and compass amongst others. This means that the surface of the earth is increasingly being covered by a dense network of always-on sensors, capable of gathering huge amounts of information about the world and its inhabitants. This network is now being tapped into for the purposes of scientific research.

Our new White Paper on Mobile Sensor Networks examines the new research that can be carried out with this technology, arguing that crowdsourced mobile sensor networks have the potential to revolutionise scientific study; as they allow for the collection of sensor data at a hitherto-impossible scale and granularity.

Read the full paper here – Mobile Sensor Networks: Creating a Social Laboratory

Posted in Mobile Trends, Reports, Sensors | Tagged , , , , , , , | 1 Comment

New Report: The Global Prevalence of Dual-SIM Android Devices

Dual-Sim Android devices, we thought, were relatively uncommon. No one at OpenSignal owns a Dual-SIM device, despite being more aware than most about the coverage blackspots that plague every city in the world – including our own office.

We had assumed that Dual-Sim Android devices were a curiosity, with little commonplace application and low levels of popularity. Frankly, we couldn’t have been more wrong. Upon analysing the OpenSignal device library we discovered that 25% of global devices are Dual-SIM (or Multi-SIM) and that there are huge disparities between countries and regions. For this report, when we refer to ‘dual-SIM devices’ we refer to devices that are dual-SIM capable, as opposed to whether or not that capability in use (something that we cannot detect using this specific database). We have also used Multi-SIM and Dual-SIM interchangeably, as they show up the same in our investigative methodology but most Multi-SIM devices are Dual-SIM.

The US and UK both have low levels of Dual-SIM device penetration, at 1% and 4% respectively. Markets, including Indonesia, India, Russia, Thailand and the Phillippines (which account for almost 2 billion people), see multi-SIM Android device usage at over 40% – illustrating the dangers of basing one’s understanding of the mobile ecosystem on one’s immediate surroundings. The country with the highest prevalence of Dual-SIM devices was Nigeria, where Dual-SIM Android Devices account for 66% of the Android market.

Read the full report here:  The Global Prevalence of Dual-SIM Android Devices

Posted in Mobile Trends, Reports | Tagged , , , , | Leave a comment

The Spring 2015 iPad Translation Challenge!

As many of you may know, the first iPad Translation Challenge ran from 1 Dec 2014 to 1 Jan 2015. We recently announced the results of that challenge, and at the end, promised a new challenge very soon.

iPad won by Serbian translator Nikola Stojanović

The iPad won by Serbian translator Nikola Stojanović

Well here it is!

The Spring 2015 iPad Translation Challenge will run from 22 January to 22 April 2015. The 22nd of April is Earth Day – which represents the global community we hope will participate in OpenSignal’s mission of crowdsourcing signal and sensor networks.

What are we translating?

The last translation challenge focused on the OpenSignal Android app, but this time, we have the OpenSignal Android app, the OpenSignal website, and the WeatherSignal app (learn more about WeatherSignal here) available to translate. To access the translation system, click on the following links for the project you want to translate:

Don’t forget that to submit translations, you need to register – otherwise we won’t know how many words you’ve translated! Registering only takes 15 seconds. If you have any questions on how to get started, just email me at

What is the challenge?

To determine the goal for this translation challenge, we’re going to play around with some language and smartphone statistics.

  • 6,909 – the number of distinct living languages in the world (Ethnologue)
  • 12 – the number of letters in the smallest alphabet, from the language Rotokas
  • 2 – the number of billions of smartphones expected to be in use in 2015
  • 41,454 = 6,909 * 12 / 2- the number of words that we hope to translate by 22 April!
Human Language Families Map

Human Language Families Map; Source: Wikimedia

What about the iPad Prize Draw?

It wouldn’t be an iPad Translation Challenge without an iPad Prize Draw! This time, we’re changing the rules a little to give more people the chance to participate in the draw. For every 500 words that you translate, you will get a ticket in the draw. So, if you have translated 1500 words, you’d get three tickets. Translated even more? More tickets still!

As with the last translation challenge, the prize will be an iPad Mini. If an Apple store is not available in your location, we will get you a comparable, alternative tablet.

Are you still giving out T-shirts?

Definitely! The rules for T-shirts haven’t changed. If you translate 1500 words, or refer someone who translates 1500 words, then you get an OpenSignal T-shirt!

Ready, get set, GO! Please join us for this massive, 41,454-word translation effort during our Spring 2015 iPad Translation Challenge. By helping us you help millions of people in the world get coverage or weather data, and you participate in new waves of crowdsourcing, technology, and citizen science.

Thank you!

Posted in Competition, Help Needed!, Translation | Leave a comment

“Can you hear me now?” The December iPad Translation Challenge

The results are in!

Our December Translation Challenge ran from 1 December 2014 to 1 January 2015 – we asked our community to help us reach 50% translation in every language for our Android App. How did we all do?

Translation progress, 1 Dec to 1 Jan

Translation progress, 1 Dec to 1 Jan

At the end of the translation challenge, there were 9 languages at 100% and 16 languages over 50%, out of 35 languages in the translation system. So, while we didn’t make it so that all languages were over 50%, we nearly had 50% of all languages at 50% translation!

What about the iPad draw?

As promised, anyone who translated 1500 words or more was entered into our iPad draw (as this was the first ever translation challenge + iPad Draw, translators who translated over 1500 words before the challenge was announced on 1 Dec were included in the draw). And the winner is:

Nikola Stojanović
Nikola Stojanović (19), from Belgrade, Serbia, is a student; translator, designer and video-maker in his free time. He attends the School of Electrical and Computer Engineering of Applied Studies, and his section is Audio-Video Technologies. He is already enjoying his new iPad Mini!


Nikola won the iPad Prize Draw! Photo Credit: Nikola Stojanović

We would also like to thank all of our other contributors who have participated in our crowdsourcing translation effort. We gratefully thank our participants who have translated 1500 words or more:

Some users chose to remain anonymous
Ferhad Fidan
Desy Kristianti
Thomas Lautenschlager
Francisco Palaio
Maikel Simões
Nikola Stojanović
Georgios Varsos
Univ. of Cambridge

Thank you to our participants who have contributed any amount up to 1500 words to our translation effort:

Some users chose to remain anonymous
Irena Atnaguzina
Univ. of Glasgow
Andrej Guseff
Pi R Square
Santiago Lorenzo
Lasuardi Permana
Jeremy Rieunier
Alessandro Vaccaro
Guiliano Zamboni

Thank you so much to all of you! With your help, our apps and mission can reach more people around the world, increasing our global community for crowdsourcing objective signal and sensor data.

Want to be part of the next iPad draw? Stay tuned for the launch of the next iPad Translation Challenge this week!

Posted in Competition, Translation | Leave a comment

Our academic partners

At OpenSignal we like to promote and keep track of all research related to our fields of interest. If, like us, you speak crowdsourcing, mobile sensor technology and big data, you might want to check out some of these papers and on-going research projects that use our data.

Featured papers and major academic collaboration

Many academics in different fields – from computer science to medicine, meteorology or economics – have shown interest in what we do. We’ve been contacted by teachers and students with the most interesting research topics and have willingly shared our data with them, often getting involved in their projects.

Here is a brief presentation of some of the awesome papers and on-going research projects produced by our academic partners.

Matteo Venanzi, University of Southampton

–  “Trust-Based Fusion of Untrustworthy Information in Crowdsourcing Applications”, by Matteo Venanzi, Alex Rogers and Nicholas R. Jennings.

-  Trust-Based Algorithms for Fusing Crowdsourced Estimates of Continuous Quantities, by Matteo Venanzi, Thesis for the degree of Doctor of Philosophy.

Matteo Venanzi’s research focuses on the reliability of information obtained through crowdsourcing applications. Particularly, he’s interested in the way information provided by individuals or devices of varying degrees of trustworthiness is aggregated. With this in mind, he developed a series of algorithms that aim to improve the accuracy of crowdsourced data, which he has applied to the OpenSignal dataset. His results have shown trust-based models to outperform other fusion methods.

Aart Overeem, Royal Netherlands Meteorological Institute 

 – “Country-wide rainfall maps from cellular communication networks”, by A. Overeem, H. Leijnse, and R. Uijlenhoet.

Overeem et al show how rainfall can be monitored in real time by studying microwave links employed in cellular communication networks; they use data from OpenSignal to understand the potential scope. As demonstrated by the authors, path-averaged rainfall intensity can be estimated, by means of an algorithm, from radio signals’ attenuation between transmitter and receiver.

- “Crowdsourcing urban air temperatures from smartphones battery temperatures”, by A. Overeem, J. C. R. Robinson, H. Leijnse, G. J. Steeneveld,B. K. P. Horn, and R. Uijlenhoe.

This article featuring our very own CTO, James Robinson, as co-author proves that urban air temperatures can be retrieved with relative accuracy from crowdsourced smartphone battery temperatures. Applying a heat transfer model to the OpenSignal dataset, estimated daily mean air temperatures were calculated for eight major cities. These values were then validated against data provided by World Meteorological Organisation certified stations, with satisfactory results.

If you want to read more about this research, check out this previous blogpost:

Clifford F. Mass, University of Washington

- “Surface Pressure Observations from Smartphones: A Potential Revolution for High-Resolution Weather Prediction?”, by Clifford F. Mass and Luke E. Madaus.

Professor Mass and Luke Madaus look into the potential of pressure readings crowdsourced from smartphones via applications like WeatherSignal. The uses of this readily available data include the forecasting of short-term mesoscale phenomena such as rainfall and winds. This study suggests that exploiting pressure readings from smartphones along with more conventional weather observations leads to better predictions.

Catherine Muller, University of Birmingham Urban Climate Lab (BUCL)

“Crowdsourcing for Climate and Atmospheric Sciences: Current Status and Future Potential”, by C.L. Muller, L. Chapman, S. Johnston, C. Kidd, S. Illingworth, G. Foody, A. Overeem, R. Graves.

Catherine Muller and collaborators – including OpenSignal’s Brand Strategist Samuel Johnston – carry out a comprehensive review of the existing methods to crowdsource atmospheric data, from Citizen Science projects and smartphone devices to social media and “hidden” networks. As well as providing a brief description of each of these approaches, the paper deals with both the question of assessing the accuracy of the data thus obtained and its many potential applications.

Sagi Dalyot, Technion- Israel Institute of Technology

– “Towards the Use of Crowdsourced Volunteered Meteorological Data for Forest Fire Monitoring”, by Sagi Dalyot and Shay Sosko (to be published).
– “Densification and Fusion of Static GeoSensor Networks Monitoring Forest Fires via Crowdsourcing”, by Shay Sosko (on-going research for a Master thesis, supervised by Sagi Dalyot).

Both these works employ the WeatherSignal dataset to study the use of Volunteered Geographic Information (VGI) as a way of monitoring and predicting forest fires. Environmental data crowdsourced from smartphones appears to be an efficient way of complementing the static geo-sensor network used to provide hazard early warnings and compensating for its limitations – such as lack of mobility, coverage issues and low density.

Pantelis Koutroumpis, Imperial College London & Berthold Horn, CSAIL at MIT

Pantelis Koutroumpis is one of our longtime academic collaborators and his research explores the intersection of telecommunications and economic development. Together with Aija Leiponen, Pantelis has been using some of the OpenSignal data to study femtocells in the city of Boston.

This is a subject that has also interested another of our closest partners, Berthold Horn from MIT. Co-author of one of the papers mentioned above, several of our blogposts feature his insightful remarks and he has written a report on femtocells that has appeared on our website.

Rumi Chunara, NYU Computer Science & Engineering and the Global Institute of Public Health

Rumi Chunara and her research group have been studying the way local urban weather relates to certain health outcomes. That is, in what way could climate variations at the street or neighborhood level affect the health of the population living in that specific area? The OpenSignal and WeatherSignal datasets were used as a mean to analyse climate variation from neighbourhood to neighbourhood in the cities of London and New York. Clusters where climate is similar were then studied for similarities in specific health outcomes, including asthma, depression and blood pressure. Professor Chunara’s on-going research suggests that crowdsourced weather data from smartphones are a promising resource to study the relationship between climate variation and health outcomes.

To learn more about Rumi’s work and research, have a look at her web site:

From the OpenSignal team

– “Modelling Download Throughput of LTE Networks”, by Joe Cainey, Brendan Gill, Samuel Johnston, James Robinson and Sam Westwood.

Last but not least, we conduct our own research too! In a recently published paper, Data Scientist Joe Cainey, together with part of our team, has presented a novel model to study download throughput of LTE networks. Applying his linear model to a set of data collected with the OpenSignal application, Joe shows that download throughput is dependent on a number of variables, including signal quality and strength, temporal factors, network operator and even the type of device. This is a crucial result in understanding how to create the best mobile experience for users.

If you want to read further…

We love the breadth of research citing OpenSignal or WeatherSignal – there are over 80 papers mentioning us, you can find them all in the table below.

Included in the same table are another dozen academic publications made by members of our team on various subjects – you might want to check out Pau Pérez’s work on privacy and security issues or James Robinson’s incursion into digital edition.

Get in touch!

If you’re interested in working with our data for an academic project, we’d love to hear from you. You can get in touch with us  through the contact form of our website: We’re also teaming up with disaster agencies such UNMEER (the UN’s Ebola Response team) and FEMA to provide realtime data via our app CrisisSignal. Read Ellie’s blogpost for more information: CrisisSignal launched in ebola afflicted regions.

And if you want to know more about, or even join, our fabulous team – 4 PhDs, 8 nationalities and a lot of languages (from R and Python to Russian and Mandarin) – check out our team page.

Happy reading!


Publisher / Published in
"Crowdsourcing for Climate and Atmospheric Sciences: Current Status and Future Potential"International Journal of ClimatologyMuller, C.L., Chapman, L., Johnston, S., Kidd, C., Illingworth, S., Foody, G., Overeem, A., Graves, R.2015/01
"Making Sense Out of Information Chaos"SIGUCCS '14 Proceedings of the 2014 ACM SIGUCCS Annual Conference on User Services Conference, pages 33-36Mark Fitzgerald2014/11
"Practical challenges for large-scale deployment of mHealth solution insights from a field trial"Global Humanitarian Technology Conference (GHTC), 2014 IEEE, 235 - 241Kuntagod, N. ; Paul, S. ; Kumaresan, S. ; Ganti, S.2014/10
"Caiipa: Automated Large-scale
Mobile App Testing through Contextual Fuzzing"
MobiComChieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao2014/09
"Surface Pressure Observations from Smartphones: A Potential Revolution for High-Resolution Weather Prediction?"Bulletin of the American Meteorology Society, Volume 95, Issue 9Clifford F. Mass, Luke E. Madaus2014/09
"Modelling Download Throughput of LTE Networks"2014 IEEE 39th Conference on Local Computer Networks Workshops (LCN Workshops)Joe Cainey, Brendan Gill, Samuel Johnston, James Robinson, Sam Westwood2014/09
"Atmos: a hybrid crowdsourcing approach to weather estimation"UbiComp '14 Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, pages 135-138Evangelos Niforatos, Athanasios Vourvopoulos, Marc Langheinrich, Pedro Campos, Andre Doria2014/09
"Smart Health: A Context-Aware Health Paradigm within Smart Cities"IEEE Communications Magazine, volume 52, issue 8Agusti Solanas, Constantinos Patsakis, Mauro Conti, Ioannis S. Vlachos, Victoria Ramos, Francisco Falcone, Octavian Postolache, Pablo A. Pérez-Martínez, Roberto Di Pietro, Despina N. Perrea, and Antoni Martínez-Ballesté2014/08
Trust-Based Algorithms for Fusing Crowdsourced Estimates of Continuous QuantitiesThesis for the degree of Doctor of Philosophy, University of Southampton, Faculty of Physical Science and Engineering, Electronics and Computer ScienceMatteo Venanzi2014/08
"UK Citizen Rainfall Network: a pilot study"Weather, Volume 69, Issue 8, pages 203–207Samuel Michael Illingworth, Catherine Louise Muller, Rosemarie Graves and Lee Chapman2014/08
"The CantApp: Chaucer's Canterbury Tales on mobile phone and tablet"New Chaucer Society conference, Reykjavik, 18 July 2014Barbara Bordalejo, Claire Campbell, Terry Jones, Richard North, James Robinson, Peter Robinson, Mari Volkosh2014/07
"Characteristics of Citizen-contributed Geographic Information"Huerta, Schade, Granell (Eds): Connecting a Digital Europe through Location and Place. Proceedings of the AGILE'2014 International Conference on Geographic Information Science, Castellón, June, 3-6, 2014.Spyridon Spyratos, Michael Lutz, Francesco Pantisano2014/06
"Extended Kalman Filtering and Pathloss modeling for Shadow Power Parameter Estimation in Mobile"International Journal on Smart Sensing and Intelligent Systems vol. 7, no. 2George P. Pappas, Mohamed A. Zohdy2014/06
"SEEDS: A Software Engineer’s Energy-Optimization Decision Support Framework"International Conference on Software Engineering (ICSE)Irene Manotas, Lori Pollock, James Clause2014/06
"SDN/NFV Based Web Cache Consistency and JavaScript Transmission Acceleration Scheme to Enhance Web Performance in Mobile Network"The Journal of Korea Information and Communications Society '14-06, Vol.39B, No.06Gijeong Kim, Sungwon Lee2014/06
"Urban WiFi Characterization via Mobile Crowdsensing"Network Operations and Management Symposium (NOMS), 2014Arsham Farshad, Mahesh K. Marina, Francisco Garcia2014/05
"Towards Evaluating Type of Service Related Quality-of-Experience on Mobile Networks"7th IFIP Wireless and Mobile Networking Conference (WMNC 2014), Vilamoura, Algarve, PortugalChristos Tsiaras, Anuj Sehgal, Sebastian Seeber, Daniel Doenni, Burkhard Stiller, Jürgen Schönwälder and Gabi Dreo Rodosek2014/05
"On the Evaluation of a User-centric QoE-based Recommendation Tool for Wireless Access"Institute of Computer Science (ICS) of the Foundation for Research and Technology - Hellas (FORTH)Michalis Katsarakis, Vasileios Theodosiadis, and Maria Papadopouli2014/05
"On the use of mobile phones and wearable microphones for noise exposure measurements : calibration and measurement accuracy"Student thesis, Ecole de technologie supérieure, Université du QuébecRomain Dumoulin2014/05
"Upgrading Your Android, Elevating My Malware: Privilege Escalation Through Mobile OS Updating"35th IEEE Symposium on Security and PrivacyLuyi Xing, Xiaorui Pan, Rui Wang, Kan Yuan and XiaoFeng Wang2014/05
"Forecasting mobile transmission reliability using crowd-sourced cellular coverage data"Systems and Information Engineering Design Symposium (SIEDS), 2014Martin, Michelle C.; Kwan, Anne M. ; Forte, Eric J. ; Zhang, Stan F. ; Patek, Stephen D.2014/04
"Using Combinatorial Approaches for Testing Mobile Applications"2014 IEEE International Conference on Software Testing, Verification, and ValidatiSergiy Vilkomir and Brandi Amstutz2014/04
"Predictive Radio Access Networks for Vehicular Content Delivery"Student thesis, Queen's University, Kingston, Ontario, CanadaHatem Abou-zeid2014/04
"Australian mobile broadband network performance: Mobile apps as one possible way to provide consumer information"Australian Journal of Telecommunications and the Digital Economy, volume 2, issue 1Shara Evans2014/03;dn=187252544779517;res=IELBUS
"A Study on Security Threats and Dynamic Access Control Technology for BYOD, Smart-work Environment"Proceedings of the International MultiConference of Engineers and Computer Scientists 2014 Vol II, IMECS 2014, March 12 - 14, 2014, Hong KongEun Byol Koh, Joohyung Oh, and Chaete Im2014/03
"Mobile Quality of Experience: Recent Advances and Challenges"International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014Vasilios A. Siris, Konstantinos Balampekos and Mahesh K. Marina2014/03
"Big Data for Big Business? A Taxonomy of Data-driven Business Models used by Start-up Firms"Cambridge Service AlliancePhilipp Max Hartmann, Mohamed Zaki, Niels Feldmann and Andy Neely2014/03
"A Feasibility Study and Development Framework
Design for Realizing Smartphone-based
Vehicular Networking Systems"
Transactions on Mobile Computing, IEEE (Volume:PP, Issue: 99 )Yongtae Park, Jihun Ha, Seungho Kuk, Hyogon Kim, Chieh-Jan Mike Liang, and JeongGil Ko2014/03
"Is Node.js a viable option for building modern web applications? A performance evaluation study"Computing, SpringerIoannis K. Chaniotis, Kyriakos-Ioannis D. Kyriakou, Nikolaos D. Tselikas2014/03
"Työkalut etätyönä toteutetussa Android-pelikehityksessä"Student thesis, Karelia University of Applied Sciences, FinlandToni Paavola2014/03
"Mobile Application
as a Business Strategy"
Student thesis, Turku University of Applied SciencesRudy Dordonne2014/02
"Towards Scalable Automated Mobile App Testing"Microsoft ResearchRanveer Chandra, Börje F. Karlsson, Nic Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath Sivalingam, and Feng Zhao2014/01
"Opportunistic mobile games using public transportation systems: a deployability study"Multimedia SystemsDario Maggiorini, Christian Quadri, Laura Anna Ripamonti2014/01
"Spatially Resolved Monitoring of Radio-Frequency Electromagnetic Fields"SENSEMINE'13 Proceedings of First International Workshop on Sensing and Big Data MiningDavid Hasenfratz, Silvan Sturzenegger, Olga Saukh, and Lothar Thiele2013/11
"Long-term fairness in multi-cell networks using rate predictions"7th IEEE GCC Conference and Exhibition (GCC), 2013Abou-zeid, H.; Hassanein, H.S. ; Zorba, N.2013/11
"Designing public safety mobile applications for disconnected, interrupted, and low bandwidth communication environments"IEEE International Conference on Technologies for Homeland Security (HST), 2013Erickson, P.; Weinert, A. ; Breimyer, P. ; Samperi, M. ; Huff, J. ; Parra, C. ; Miller, S.2013/11
"Study, analysis and implementation of an Enterprise Mobility Management System"Student thesis, Universitat Politècnica de CatalunyaDavid Arance Garcia2013/11
"Predictive green wireless access: exploiting mobility and application information"Wireless Communications, IEEE, Volume 20, Issue 5H. Abou-Zeid, H.S. Hassanein2013/10
"Predicting mobile network bandwidth fluctuation to enhance video stream service quality"Science and Information Conference (SAI), 2013Peart, A.; Lockett, A. ; Adda, M.2013/10
"Pazl: A Mobile Crowdsensing based Indoor WiFi Monitoring System"9th International Conference on Network and Service Management (CNSM), 2013Valentin Radu, Lito Kriara and Mahesh K. Marina2013/10
"u-map: a User-centric QoE-based Recommendation Tool for Wireless Access Markets"MobiComMichalis Katsarakis, Vasileios Theodosiadis, Manos Dramitinos, and Maria Papadopouli2013/09
"Context Virtualizer: A Cloud Service for Automated Large-scale Mobile App Testing under Real-World Conditions"Microsoft ResearchChieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Zhang, Börje Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao2013/09
"Attacco ad Android: obiettivi, rischi e contromisure"Published online, Università degli Studi di Verona http://profs.scienze.univr.itAlessandro Menti, Mattia Zago2013/09
"An Empirical Study of API Stability and Adoption in the Android Ecosystem"29th IEEE International Conference on Software Maintenance (ICSM), 2013Tyler McDonnell, Baishakhi Ray, Miryung Kim2013/09
"m-Carer: Privacy-Aware Monitoring for People with Mild Cognitive Impairment and Dementia"IEEE Journal on Selected Areas in Communications, (Volume:31, Issue: 9 )Agusti Solanas, Antoni Martinez-Balleste, Pablo A Pérez-Martinez, Albert Fernandez de la Pena, Javier Ramos2013/09
"Crowdsourcing urban air temperatures from smartphone battery temperatures"Geophysical Research Letters, vol. 40A. Overeem,J. C. R. Robinson, H. Leijnse, G. J. Steeneveld,B. K. P. Horn, R. Uijlenhoet2013/08
"The Social Audit and Corruption in Developing Countries"Published online, University of North CarolinaRobert M. González2013/08
"Identification of Present-Day Transport Pilot Workflow and Derivation of Mobile Aids"2013 AVIATION TECHNOLOGY, INTEGRATION, AND OPERATIONS CONFERENCE, volume 3Theo Hankers, Peter Hecker, Nima Barraci, Jens Schiefele2013/08
"Crowdsourcing urban air temperatures from smartphone battery temperatures"Geophysical Research Letters, vol. 40, issue 15A. Overeem, J. C. R. Robinson, H. Leijnse, G. J. Steeneveld,B. K. P. Horn, and R. Uijlenhoe2013/08
"Crowdsourcing and its Impact on Future Internet Usage"Information Technology Methoden und innovative Anwendungen der Informatik und Informationstechnik. Volume 55, Issue 4Phuoc Tran-Gia, Tobias Hoßfeld, Matthias Hartmann, Matthias Hirth2013/07
"Fostering innovation: Factors that attract and retain third party developers in mobile ecosystems"Student thesis, Lund UniversitySinan Deniz, Ferdia Kehoe2013/06
"Comments of CTIA – The Wireless Association"Before the Federal Communications Commission Washington, DCMichael F. Altschul, Christopher Guttman-McCabe,
Robert F. Roche,
Krista L. Witanowski
"The pursuit of citizens' privacy: a privacy-aware smart city is possible"IEEE Communications Magazine, (Volume:51, Issue: 6 )Antoni Martinez-Balleste, Pablo A. Perez-Martinez, Agusti Solanas2013/06
"Trust-Based Fusion of Untrustworthy Information in Crowdsourcing Applications"Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), Ito, Jonker, Gini, and Shehory (eds.), May, 6–10, 2013, Saint Paul, Min- nesota, USA.Matteo Venanzi, Alex Rogers, Nicholas R. Jennings2013/05
"Netradar - Measuring the wireless world"11th International Symposium on Modeling & Optimization in Mobile, Ad Hoc & Wireless Networks (WiOpt), 2013Sonntag, S.; Manner, J. ; Schulte, L.2013/05
"Developing a user interface
for a cross-platform web application"
Student thesis, Helsinki Metropolia University of Applied SciencesMaxim Dolgobrod2013/05
"2D-ANIMAATIOT OSANA ANDROID-SOVELLUSTA"Student thesis, Jamk University of Applied SciencesHenri Honkonen2013/05
"Mobile network measurements - It's not all about signal strength"Wireless Communications and Networking Conference (WCNC), 2013 IEEES. Sonntag, L. Schulte, J. Manner2013/04
"The hidden costs of mobile applications: A cross-layer analysis of energy and spectrum waste of mobile applications"Student thesis, Fitzwilliam College, University of CambridgeNarseo Vallina-Rodriguez2013/04
"Android Tablet -Google Asus Nexus 7 with Android OS 4.2 (Jellybean)"Journal of the Canadian Health Libraries Association, 34Dale Storie2013/04
Contextual Fuzzing: Automated Mobile App Testing Under Dynamic Device and Environment ConditionsMicrosoft ResearchChieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Zhang, Börje Karlsson, Ranveer Chandra, and Feng Zhao2013/03
"Erkennen und Abwehren von Angriffen im Mobilfunknetz auf Smartphones"Student thesis, Wilhelm Büchner Hochschule, Darmstadt, GermanyMarcus Prem2013/03
"Sensorium — The Generic Sensor Framework"Networked Systems 2013Albert Rafetseder, Florian Metzger, Lukas Pühringer, Yanyan Zhuang, Justin Cappos2013/03
"Country-wide rainfall maps from cellular communication networks"Proceedings of the National Academy of Sciences, vol. 110, issue 8Overeem, A.; Leijnse, H.; Uijlenhoet, R.2013/02
"Fast Text Rendering on Embedded GPUs"Student thesis, University of GothenburgJonathan Gustafsson2013/02
"Massive WiFi Data Gathering"Journal of CSE GradOSF12, vol. 0, no. 1Salvador Aguinaga, Jianxu Chen2012/11
"Comparison of the Performance and Capabilities of Femtocell versus Wi-Fi Networks"Student thesis, Naval Postgraduate School, Monterey, CaliforniaJames K. Bare2012/09
"Predictive protocol for the scalable identification of RFID tags through collaborative readers"Computers in Industry (volume 63, issue 5)Rolando Trujillo-Rasua, Agusti Solanas, Pablo A. Pérez-Martínez, Josep Domingo-Ferrer2012/08
"W3-Privacy: the Three Dimensions of User Privacy in LBS"MobiHoc 2011, the Twelfth ACM International Symposium on Mobile Ad Hoc Networking and ComputingPablo A Pérez-Martínez, Agusti Solanas2011/05
"Location Privacy Through Users' Collaboration: A Distributed Pseudonymizer"Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, 2009. UBICOMM '09Pablo A. Pérez-Martínez, Agusti Solanas, Antoni Martinez-Balleste2009/10
"Exploring the potential of volunteered geographical information as a source for special data acquisition"IOP Conf. Series: Earth and Environmental Science, 20Izyana Ariffin, Badariah Solemon, Rina Md. Anwar, Marina Md. Din, Nor Nashrah Azmi2014
Android Best PracticesSpringerGodfrey Nolan, Onur Cinar, David Truxall2014
"Mobile Phones as Ubiquitous Social and Environmental Geo-Sensors"to be published in Yan, Z., ed., Encyclopedia of Mobile Phone Behavior (Volumes 1, 2, & 3). Hershey, PA: IGI GlobalGünther Sagl, Bernd Resch2014
"An Examination of Typographic Standards and Their Relevance to Contemporary User-Centred Web and Application Design"Cross-Cultural Design, Lecture Notes in Computer Science Volume 8528, SpringerIan Christopher Dyer2014
"Enhancing Mobile Video Streaming by Lookahead Rate Allocation in Wireless Networks"Proc. IEEE Consumer Commun. and Netw. Conf.(CCNC)Hatem Abou-zeid, Hossam S. Hassanein, and Nizar Zorba2014
"Efficient Lookahead Resource Allocation for Stored Video Delivery in Multi-Cell Networks"Proc. IEEE Wireless Commun. and Netw. Conf.(WCNC)Hatem Abou-zeid and Hossam S. Hassanein2014
"Mobilna aplikacija za daljinsko upravljanje fotoaparata"Student thesis, University of Ljubljana, Faculty of Computer and Information ScienceDušan Strgar2014
"Event-driven Middleware for Body and Ambient Sensor Applications"Student thesis, Technische Universität DarmstadtChristian Seeger2014
"The Indian App Ecosystem"The Indian Council for Research on International Economic RelationsRajat Kathuria and Sugandha Srivastav2014
"A Study of DNS Resolution Reducing Scheme for Web Performance Enhancement"Korea Information and Communications Society, Conference Winter 2014Gijeong Kim, Sungwon Lee2014
"GeoSpy: a Web3D platform for geospatial visualization"MapInteract '13 Proceedings of the 1st ACM SIGSPATIAL International Workshop on MapInteractionNikita Sharakhov, Nicholas Polys, Peter Sforza2013
"Comparing HTML5 Based Apps With Native Apps"Student thesis, Linnaeus University, Faculty of Technology, Department of Computer ScienceRebreniuk, Oleksii2013
"Saffy looks for the entry point into digital: simply read books and their first children’s book app"Student thesis, Simon Fraser UniversityLohnes, Heather Jillian2013
"APPLICATION LAYOUT TESTING FOR ANDROID MOBILE DEVICES"Student thesis, University of GroningenDaniël Kok2013
Android Design Patterns: Interaction Design Solutions for DevelopersWileyGreg Nudelman2013
"Optimal Predictive Resource Allocation: Exploiting Mobility Patterns and Radio Maps"Proc. IEEE Global Telecommunications Conference (GLOBECOM)Hatem Abou-zeid, Hossam S. Hassanein and Stefan Valentin2013
"Touch-Optimised Mobile Interface for Invenio Digital Library"Student thesis, Ecole polytechnique générale de LausanneYannick Tapparel2013
"Accounting for roaming users on mobile data access: issues and root causes"MobiSys '13 Proceeding of the 11th annual international conference on Mobile systems, applications, and servicesGuan-Hua Tu, Chunyi Peng, Chi-Yu Li, Xingyu Ma, Hongyi Wang, Tao Wang+, Songwu Lu2013
"Proposta de uma visita virtual 3D ao claustro do Museu de Aveiro"Student thesis, Universidade de AveiroRuben João Martins Carvalho2013ção.pdf
"Study of automatic adjusting Content depending on Screen Size and Context"Student thesis, Norwegian University of Science and TechnologyMathias Moen2013
"Business Model Analysis On Android App Stores"Student thesis, University of JyväskyläLauri Heikkinen2013
"Evaluation und Klassifikation der
Anforderungen an Datenverbindungen
mobiler Endgeräte"
Student thesis, Universität UlmTill Fischer2013
"Vývoj mobilních aplikací pro platformu Apple iOS"Student thesis, Masarykova Univerzita Fakulta Informatiky, Brno, Czech RepublicVojtěch Bělovský2013
"The Impact of Perceived Quality, Perceived Sacrifice, and Perceived Value on Consumer’s Purchase Intention
-An Empirical Study of 4G LTE Internet Service"
Students thesis, National Taiwan University of Science and TechnologyHo-chung Wang2013
"Bringing internet to a village"Published online, Mälardalen University, SwedenJavier Del Sol Rodríguez2012
Posted in Academic, CrisisSignal, Open Signal Maps community, WeatherSignal | Leave a comment

Beta-Testing: What you need to know

Updated 20 March 2015

It’s an exciting time at OpenSignal, and we’ve got lots of things we’re working on to make the OpenSignal family of apps even better. However, we won’t be able to do it without your help!

Do you like what we do? Become a beta-tester! You’ll get exciting new versions as soon as they come out, and you’ll have a chance to give us invaluable feedback early on in the development process.

Here are the apps that we have going now, and how to join their beta-testing programmes:

For Android:

For all of our Android apps, join the relevant Google+ community and you will be able to access the beta version through there.

OpenSignal – join the OpenSignal Beta Google+ community

WeatherSignal – join the WeatherSignal Beta Google+ community

CrisisSignal – join the CrisisSignal Beta Google+ community

WifiMapper – join the WifiMapper Beta Google+ community

For iOS:

Apps that we have for iOS are: OpenSignal, WeatherSignal (only collects data with iPhone 6 or 6+, as these are the first models to have a barometer), and the newest addition to the family, WifiMapper (our global map of recommended WiFi hotspots – see more at

The beta-programmes for our iOS apps involve a different process. Here are the instructions on how to join:

  1. Enter in you iTunes email address and the apps you want to test into the form below.
  2. Install the TestFlight app on your phone – this is the beta-version management system.
  3. When you receive the invitation to join an app’s beta-testing programme, open the link with either the default Apple mail client or with Safari (some users have had problems if opening the link by other means).
  4. Test away – and don’t forget to tell us about any bugs you encounter or any features that you would like to see in the next version!

Please also note that on iOS, beta versions are only active for a month, so you may not get an invitation to test a beta when you join. If you would like to know when the next beta version will be released, please feel free to contact me at

Thank you very much for your participation!

Posted in Android Beta-Testing, Beta-Testing, iOS Beta-Testing | Leave a comment

As The Customer Sees It: crowdsourcing regional coverage data

Over the past few weeks we at OpenSignal, along with Which?, the consumer advocacy group, have been putting out reports on the state of mobile coverage in the UK. This began in November when we released a report looking at overall coverage in the UK – and was followed by individual reports for the 12 regions that we and Which? decided to subdivide the UK into, released in two batches over the last two weeks.

Traditionally it has been extremely hard for mobile users to compare the performance of network operators, and therefore to gain accurate information on what level of service they can expect. The coverage maps published by operators often do not reflect typical user experience, as they are based on tests carried out by the network in public areas – with coverage beyond roads modelled from the limited tests run. We covered our concerns with the drive testing methodology, including drive-tests run using consumer phones rather than discrete testing equipment in our response to the recent OfCom coverage report.

Our reports on mobile coverage (and coverage maps published on this website, and hosted on Which?) are an attempt to help customers better understand the difference between mobile networks in terms of the actual service they provide, meaning that customers can make better choices based on localised coverage. Improving consumer choice is a key objective of OpenSignal, which made partnering with Which? an obvious choice. The data for these reports is gathered directly from almost 40,000 UK users of the OpenSignal app, which runs in the background recording the locations where users have access to the different network type (no signal at all, 2g, 3g, 4g), we get our speed data from background speedtests and tests run actively by users. All of our data, therefore, comes from real-world customers of the UK networks – meaning that have an unparalleled perspective into coverage as it is experienced by actual consumers.

After the second batch of local reports, EE responded publicly with criticism of our methodology, something which has not previously happened with any UK operator (indeed Vodafone said they welcomed the findings), claiming that a sample of 2 million would be required to fully understand mobile coverage in the UK – a surprising claim considering that they published a survey earlier in the year revealing the behaviour of 4G users [pdf], a survey based on 1,000 4G users.

By rejecting our findings, EE are rejecting the directly measured experiences of almost 10,000 of their own customers; users who have traditionally had little avenue for complaint, or few resources to go by when determining whether their own individual experience is typical or to be expected. At OpenSignal we want our reports to reflect the experience of these consumers, and to give users a suitable platform to ensure that their experience as consumers is heard publicly. These are the very people that it is increasingly important that networks should be listening to. Of course, having more users always allows for better information – but we are very confident that our sample is representative and statistically significant. To reject our findings on grounds of ‘sample size’ is only going to be misleading to consumers, the very people that Which? and OpenSignal are trying to help by making better coverage information more easily accessible.

Our ‘time on’ metrics are not an attempt to measure total UK coverage geographically, we instead attempt to survey the true experience of mobile users in the UK, based on data collected 24/7 from real consumer devices. Mobile operators’ own network testing, including tests run for them by third parties, cannot typically test in people’s homes or offices, the places where people spend the most time. Indeed, networks including EE, Vodafone and O2 have partnered with companies that crowdsource mobile coverage data, validating our methodology as an important tool for gaining a complete picture of the end user experience. Our data is used by networks worldwide and our UK report was cited by OfCom in their most recent mobile coverage report [pdf]– as an alternative to mobile coverage data self-reported by the operators themselves. Independent data is crucial to a healthy mobile network ecosystem, as it allows for a level of regulatory and consumer oversight that is not possible when networks self-report coverage based on their own testing methods.

We do not test the network in terms of theoretical performance, we do not model the network based on tests done in pre-determined locations; instead we directly measure the proportion of time that real users have access to the different levels of mobile network provision.  There is no agenda to our publication of results, we are merely recording what the customers themselves experience in order to provide better information to a market that has historically been marked by an information imbalance between consumer and provider, a market failure that leads to inefficient purchasing decisions. In the light of recent announcements from the DCMS about possibly enforcing national roaming in the public interest, it would appear that neither the people nor the government are happy with enduringly patchy coverage, making it increasingly important that all mobile operators listen to their customers.

Posted in Networks' Own Coverage Maps | Tagged , , , , , , , , , | Leave a comment

What’s your band? Mapping LTE

“Verizon expands its XLTE network – the combination of Verizon’s existing 700MHz LTE spectrum and its newly activated 2100 MHz AWS spectrum – to over 400 markets in the US.”

“T-Mobile’s ‘super fast wideband LTE network’ went live in New York City three days ago.”

“EE switches on ‘world’s fastest’ LTE-Advanced 4G in UK”

These stories are just a snippet of the telecommunications advancements and improvements that are happening all over the world. Conclusion? These are exciting times!

Here at OpenSignal we are using the data collected by the OpenSignal app to build models of 4G and LTE networks and the factors that affect data speeds. However, we’re missing two pieces of the puzzle: the band (which part of the spectrum is used) and bandwidth (the range of frequencies included – how many frequencies make up the band). Different bands determine how permeable the signal is through different materials (and therefore the distance covered by that band), and bandwidth determines the capacity of data that can go over that band.

The Android API does not have a published method to read the band and bandwidth information off the phone. This means we cannot map these important details together with our other signal data without your help! You can check the band your phone is on by entering ‘Service Mode’. On Samsung phones this is done by entering *#0011#, but on other phones the codes can be different – sometimes the codes will also change based on the network operator you have.

Once you’re in Service Mode, look for the Band information, and if you find it, the LTE DL BW (LTE download bandwidth) or the Earfcn_dl (which stands for E-UTRA Absolute Radio Frequency Channel Number Downlink, and refers to the download frequency). Once you have this information, if you could please enter it into the form on this page, we can track the developments in LTE services:

Many thanks for your help and contributions! If you have any questions, just email me at

Posted in LTE | Leave a comment

CrisisSignal launched in Ebola afflicted regions

When disasters strike, whether conflicts, flooding, earthquakes or epidemics, the effectiveness of the emergency response can often mean the difference between life and death. Mobile phones have a crucial role to play in emergency response, and will only grow in importance as they become more ubiquitous (the ITU estimated there were 6.8 billion mobile subscriptions worldwide in 2013).  The OpenSignal team has developed an app called CrisisSignal, which is designed to collect data on cellular and Wi-Fi coverage in emergency situations. The app, available on Google Play, allows users to contribute to mapping coverage in (or very close to) real time, providing information to emergency responders, humanitarian agencies and local communities so they can make appropriate decisions as part of the relief effort.

CrisisSignal has been tested in several emergency response situations, such as after Hurricane Sandy in New York in 2012 in collaboration with the US Federal Emergency Management Agency (FEMA) and following the devastation in the Philippines from typhoon Haiyan in 2013. It is about to be rolled out to the largest cohort so far, to assist relief efforts for the Ebola outbreak in West Africa.

Nethope, a group of 43 international humanitarian NGOs, is working with a number of organizations to distribute 10,000 phones in West Africa, funded by the Paul G. Allen Family Foundation. These phones are currently en route via Ghana and have several apps pre-installed, including CrisisSignal, to map coverage in Sierra Leone, Guinea and Liberia. OpenSignal has teamed up with Esri, who supply Geographic Information System (GIS) software, and other experts to map the data that the CrisisSignal apps collect and provide it to the public as part of the World Bank Geonode system. This is the first uptake of CrisisSignal at scale, and potentially an opportunity to make a meaningful impact on the communities that have been most affected by the disease.

Initial readings from CrisisSignal in West Africa

Initial readings from CrisisSignal in West Africa

Why does mobile matter?

The humanitarian sector is evolving to harness the power of technology in emergency response situations. The Red Cross defines humanitarian technology as ‘the use and new applications of technology to support efforts at improving access to and quality of prevention, mitigation, preparedness, response, recovery and rebuilding efforts’. Communications are a necessity in the aftermath of disasters and therefore a key humanitarian technology. Article 19 of the Universal Declaration of Human Rights protects the right to ‘seek, receive and impart information and ideas’ i.e. communicate, ‘through any media and regardless of frontiers’. Humanitarian and aid organizations can work to ensure this human right through making communications a top priority.


Two-way mobile phone communications can help victims of disasters by ensuring that local communities remain in contact. Authorities can send messages notifying people of danger. There are also psychological benefits associated with keeping in touch. After the 2010 earthquake in Haiti, the International Federation of Red Cross and Red Crescent Societies (IFRC) launched a campaign to send SMS alerts to warn Haitians of preventable diseases, such as cholera, weather warnings and directions for finding help. Feedback from several participants of the program said the SMS made them ‘feel cared for’.

Communities affected by disaster can also communicate useful information, and should be empowered to engage with the aid effort as a whole. For example, Al-Jazeera established a program called Somalia Speaks in 2011, using mobile phones to send and receive SMS on how people were being affected by the conflict. Mobile users also take to social media to communicate, such as in Syria where YouTube has been used to inform the international community of what is happening in conflict zones. Mobiles allow for family members to keep in touch at home and abroad, and enable practical actions such as the transfer of cash via mobile money from the diaspora.

Data and Maps

Data collected actively or passively from mobile usage can also contribute to emergency response efforts. For example, research teams predicted population displacement using call records after the 2010 Haiti earthquake. Movement of populations is common after disasters such as earthquakes, which makes it difficult for relief organizations to deliver the necessary aid. Data from mobile phones has also been combined with maps following disasters, a process known as ‘crisis mapping’, just as CrisisSignal does. For example, maps of tweets were used during Typhoon Pablo in the Philippines in 2012 to provide data to the United Nations Office for the Coordination of Humanitarian Affairs  (OCHA) so they could assess the extent of the damage and plan accordingly. Ushahidi, meaning “testimony” in Swahili, was originally established to crowdsource data and map the 2008 post-election violence in Kenya. Ushahidi partnered with Tufts University after the 2010 Haiti earthquake to crowdsource SMS and social media mentions to plot events to maps, which, according to the US Marine Corps saved hundreds of lives.

How CrisisSignal fits in

The power of mobile phones to contribute to disaster preparedness, mitigation, response and recovery is dependent upon connectivity. The data that will be collected through CrisisSignal has an impact both in terms of the immediate response as well as intermediate, and longer-term reconstruction and disaster preparedness actions.

After a disaster, communications infrastructure is often damaged and cell sites may be down. Roads might be blocked, making it impossible for vehicles carrying telecommunications reconstruction equipment to reach these damaged sites. As more and more people use their phones to check on friends and family and take to social media, networks may become overloaded and fail. By getting CrisisSignal on phones in the disaster affected area fast, the state of connectivity can be learned quickly in-real time so that decisions on appropriate relief efforts can be made and resources diverted to the most efficient use. Immediately following a disaster this could involve learning where to place limited supplies of temporary cell tower infrastructure such as Vodafone’s Instant Network of Base Transceiver Stations, Broadband Global Area Network (BGAN) portable terminals, or Very Small Aperture Terminals (VSATs).

After the initial immediate response to a disaster, humanitarian organizations may wish to gather data using mobiles to further assist in the relief effort. For example, applications and tools such as the Open Data Kit (ODK), KoBoToolbox, Commcare, Premise, Magpi, NOMAD, and FrontlineSMS, can be used to track aid efforts, population displacement, market information and survey data. The network coverage information gathered by CrisisSignal lets aid organizations know where they can roll these efforts out. In particular, some of these require a data connection while others simply require voice or SMS. Since CrisisSignal maps the connection type, organizations will know what tools can be used where.

In the longer term as efforts move to reconstruction and preparedness, CrisisSignal can play a role in understanding how to build out cell tower structures and rebuilding damaged infrastructure. Countries affected by disasters may not have national coverage even before the emergency, and it is important to prepare for the long-term reconstruction of affected regions rather than just focusing on immediate fixes of towers in neighbourhoods that previously had coverage. Mapping out the country’s coverage can allow for this considered build out to take place, so that once the aid agencies leave a more resilient infrastructure remains.

CrisisSignal data will be collected from any phone with the app, whether it is someone based locally affected by the disaster, or a visiting aid worker. Education and communication ahead of disasters, such as raising awareness of the app locally so that it is installed on people’s phones ahead of time, and partnering with organizations that can distribute phones or notify aid workers to download them, will also allow for data to be collected quickly. This will speed up the time it takes to gain knowledge of the networks to roll out immediate relief efforts.

Initial CrisisSignal readings in Freetown, Sierra Leone

Initial CrisisSignal readings in Freetown, Sierra Leone

What’s next?

OpenSignal will be monitoring the data collected by CrisisSignal in West Africa, and will share the maps with the public and aid agencies operating in the region. As this is the biggest rollout of the app so far, we’ll be on hand to make bug fixes, answer questions and support the community of users. Most of this will take place on Google Play but also on the dedicated forum page We will continue to learn from and share our data with the many organizations working in mobile disaster response, such as the GSMA Disaster Response team, UN OCHA and their Humanitarian Data Exchange, the Communicating with Disasters and Affected Communities (CDAC) Network, the Harvard Humanitarian Initiative, and others. We have a lot to learn about how CrisisSignal can be used to facilitate emergency response, and we can use this knowledge to improve the app and data analysis in West Africa, and future disaster afflicted regions.

Posted in CrisisSignal | Tagged , , , , , , , | 1 Comment