By Luke Kirwan, Open Access Manager at the IIASA Library
World Intellectual Property Day is celebrated annually on 26 April to bring a greater awareness of the role that intellectual property rights, such as copyright, patents, and industrial designs play in encouraging innovation and creativity. Unlike traditional property, intellectual property is intangible. It is far harder to protect one’s intellectual property from infringement or copying than it is to protect physical property. Intellectual property rights are important as, when well implemented, they provide the creator sufficient protection to benefit from their creation, but aren’t so stringent that they prevent widespread use.
Intellectual property refers to an individual’s original, intellectual creations, whether that is scientific, artistic, technical, or otherwise. As with other types of property, your intellectual property is covered by certain rights and protections automatically granted to the creator. These convey upon the owner rights over the control and utilization of their intellectual output. Depending on the situation, your intellectual property rights will also be covered by one or more types of protection, varying from patents to trademarks. These types of protection are intended to prevent unauthorized use or piracy of intellectual property, and to confer upon the creator time-limited, exclusive rights to their intellectual output.
Creative commons licenses
When you write an article, that type of intellectual output is automatically covered by copyright. This is regulated through the Berne Convention. This convention confers a number of rights to the author, including the right to translate, make adaptations, and make reproductions of a work. Depending on the specific jurisdiction in which a work is created, copyright protection lasts for the lifetime of the creator plus a specific period (circa 50 to 70 years). In terms of producing a scientific article, one of the most important rights conferred upon an author by copyright protections is the right to sell or transfer these rights to another individual. Usually, when an author publishes an article with a journal, they sign a contract ceding their copyright to the publisher. Depending on the individual publisher, the author may retain some rights, such as the ability to distribute an earlier version of their paper and the right to proper attribution. However, the journal now has control of the dissemination, distribution, translation, and reproduction rights, among others.
Creative Commons licenses are designed to assist you in keeping your research openly accessible and distributable. For a creative commons license, the author retains all of the copyright, but has licensed their work for use and reuse under different circumstances, depending on the license. When publishing a paper under a creative commons license, rather than transferring the copyright to the publisher, the author instead licenses certain rights to the publisher to allow them to distribute the work. Creative commons licenses run from CC-0, which leaves a work completely free to reuse, redistribute, alter, and utilize in any manner, to CC-BY-NC-ND, which makes a work accessible, but restricts redistribution and commercial use. Similarly some license types employ an additional stipulation known as copyleft. In terms of a creative commons license this is known as share-alike. Essentially copyleft licensing allows people to freely distribute copies and modified versions as long as they adhere to the original licensing.
If you wish to make a paper open access, a journal will usually charge an Article Processing Charge (APC). However, the IIASA library maintains agreements with several publishers that allow a work to be made open access without charge. In instances where no waiver is in place, we also have an open access fund from which IIASA researchers can apply to have part of the APC charges paid for.
Note: This article gives the views of the authors, and not the position of the Nexus blog, nor of the International Institute for Applied Systems Analysis.
By Dilek Yildiz, Wittgenstein Center for Demography and Global Human Capital (IIASA, VID/ÖAW and WU), Vienna Institute of Demography, Austrian Academy of Sciences, International Institute for Applied Systems Analysis
Social media offers a promising source of data for social science research that could provide insights into attitudes, behavior, social linkages and interactions between individuals. As of the third quarter of 2017, Twitter alone had on average 330 million active users per month. The magnitude and the richness of this data attract social scientists working in many different fields with topics studied ranging from extracting quantitative measures such as migration and unemployment, to more qualitative work such as looking at the footprint of second demographic transition (i.e., the shift from high to low fertility) and gender revolution. Although, the use of social media data for scientific research has increased rapidly in recent years, several questions remain unanswered. In a recent publication with Jo Munson, Agnese Vitali and Ramine Tinati from the University of Southampton, and Jennifer Holland from Erasmus University, Rotterdam, we investigated to what extent findings obtained with social media data are generalizable to broader populations, and what constitutes best practice for estimating demographic information from Twitter data.
A key issue when using this data source is that a sample selected from a social media platform differs from a sample used in standard statistical analysis. Usually, a sample is randomly selected according to a survey design so that information gathered from this sample can be used to make inferences about a general population (e.g., people living in Austria). However, despite the huge number of users, the information gathered from Twitter and the estimates produced are subject to bias due to its non-random, non-representative nature. Consistent with previous research conducted in the United States, we found that Twitter users are more likely than the general population to be young and male, and that Twitter penetration is highest in urban areas. In addition, the demographic characteristics of users, such as age and gender, are not always readily available. Consequently, despite its potential, deriving the demographic characteristics of social media users and dealing with the non-random, non-representative populations from which they are drawn represent challenges for social scientists.
Although previous research has explored methods for conducting demographic research using non-representative internet data, few studies mention or account for the bias and measurement error inherent in social media data. To fill this gap, we investigated best practice for estimating demographic information from Twitter users, and then attempted to reduce selection bias by calibrating the non-representative sample of Twitter users with a more reliable source.
Exemplar of CrowdFlower task © Jo Munson.
We gathered information from 979,992 geo-located Tweets sent by 22,356 unique users in South-East England and estimated their demographic characteristics using the crowd-sourcing platform CrowdFlower and the image-recognition software Face++. Our results show that CrowdFlower estimates age more accurately than Face++, while both tools are highly reliable for estimating the sex of Twitter users.
To evaluate and reduce the selection bias, we ran a series of models and calibrated the non-representative sample of Twitter users with mid-year population estimates for South-East England from the UK Office of National Statistics. We then corrected the bias in age-, sex-, and location-specific population counts. This bias correction exercise shows promise for unbiased inference when using social media data and can be used to further reduce selection bias by including other sociodemographic variables of social media users such as ethnicity. By extending the modeling framework slightly to include an additional variable, which is only available through social media data, it is also possible to make unbiased inferences for broader populations by, for example, extracting the variable of interest from Tweets via text mining. Lastly, our methodology lends itself for use in the calculation of sample weights for Twitter users or Tweets. This means that a Twitter sample can be treated as an individual-level dataset for micro-level analysis (e.g., for measuring associations between variables obtained from Twitter data).
Yildiz, D., Munson, J., Vitali, A., Tinati, R. and Holland, J.A. (2017). Using Twitter data for demographic research, Demographic Research, 37 (46): 1477-1514. doi: 10.4054/DemRes.2017.37.46
Note: This article gives the views of the author, and not the position of the Nexus blog, nor of the International Institute for Applied Systems Analysis.
By Parul Tewari, IIASA Science Communication Fellow 2017
As climate change warms up the planet, it is the Arctic where the effects are most pronounced. According to scientific reports, the Arctic is warming twice as fast in comparison to the rest of the world. That in itself is a cause for concern. However, as the region increasingly becomes ice-free in summer, making shipping and other activities possible, another threat looms large. That of an oil spill.
©AllanHokins I Flickr
While it can never be good news, an oil spill in the Arctic could be particularly dangerous because of its sensitive ecosystem and harsh climatic conditions, which make a cleanup next to impossible. With an increase in maritime traffic and an interest in the untapped petroleum reserves of the Arctic, the likelihood of an oil spill increases significantly.
Maisa Nevalainen, as part of the 2017 Young Scientists Summer Program (YSSP), is working to assess the extent of the risk posed by oil spills in the Arctic marine areas.
“That the Arctic is perhaps the last place on the planet which hasn’t yet been destroyed or changed drastically due to human activity, should be reason enough to tread with utmost caution,” says Nevalainen
Although the controversial 1989 Exxon Valdez spill in Prince William Sound was quite close to the Arctic Circle, so far no major spills have occurred in the region. However, that also means that there is no data and little to no understanding of the uncertainties related to such accidents in the region.
For instance, one of the significant impacts of an oil spill would be on the varied marine species living in the region, likely with consequences carrying far in to the future. Because of the cold and ice, oil decomposes very slowly in the region, so an accident involving oil spill would mean that the oil could remain in the ice for decades to come.
Thick-billed Murre come together to breed in Svalbard, Norway. Nevalainen’s study so far suggests that birds are most likely to die of an oil spill as compared to other animals. © AllanHopkins I Flickr
Yet, researchers don’t know how vulnerable Arctic species would be to a spill, and which species would be affected more than others. Nevalainen, as part of her study at IIASA will come up with an index-based approach for estimating the vulnerability (an animal’s probability of coming into contact with oil) and sensitivity (probability of dying because of oiling) of key Arctic functional groups of similar species in the face of an oil spill.
“The way a species uses ice will affect what will happen to them if an oil spill were to happen,” says Nevalainen. Moreover, oil tends to concentrate in the openings in ice and this is where many species like to live, she adds.
During the summer season, some islands in the region become breeding grounds for birds and other marine species both from within the Arctic and those that travel thousands of miles from other parts of the world. If these species or their young are exposed to an oil spill, then it could not only result in large-scale deaths but also affect the reproductive capabilities of those that survive. This could translate in to a sizeable impact on the world population of the affected species. Polar bears, for example, have, on an average two cubs every three years. This is a very low fertility rate – so, even if one polar bear is killed, the loss can be significant for the total population. Fish on the other hand are very efficient and lay eggs year round. Even if all their eggs at a particular time were destroyed, it would most likely not affect their overall population. However, if their breeding ground is destroyed then it can have a major impact on the total population depending on their ability and willingness to relocate to a new area to lay eggs, explains Nevalainen.
Due to lack of sufficient data on the number of species in the region as well as that on migratory population, it is difficult to predict future scenarios in case of an accident, she adds. “Depending on the extent of the spill and the ecosystem in the nearing areas, a spill can lead to anything from an unfortunate incident to a terrible disaster,” says Nevalainen.
©katiekk I Shutterstock
It might even affect the food chain, at a local or global level. “If oil sinks to the seafloor, some species run the risk of dying or migrating due to destroyed habitat – an example being walruses as they merely dive to get food from the sea floor,” adds Nevalainen. As the walrus is a key species in the food web, this has a high probability of upsetting the food chain.
When the final results of her study come through, Nevalainen aims to compare different regions of the Arctic and the probability of damage in these areas, as well as potential solutions to protect the ecosystem. This would include several factors. One of them could be breeding patterns – spring, for instance, is when certain areas need to be cordoned off for shipping activities, as most animals breed during this time.
“At the moment there are no mechanisms to deal with an oil spill in the Arctics. I hope that it never happens. The Arctic ecosystem is very delicate and it won’t take too much to disturb it, and the consequences can be huge, globally,” warns Nevalainen.
About the Researcher
Maisa Nevalainen is a third- year PhD student at the University of Helsinki, Finland. Her main focus is on environmental impacts caused by Arctic oil spills, while her main research interests include marine environment, and environmental impacts of oil spills among others. Nevalainen is working with the Arctic Futures Initiative at IIASA over the summer, with Professor Brian Fath as her supervisor and Mia Landauer and Wei Liu as her co-supervisors.
This article gives the views of the author, and not the position of the Nexus blog, nor of the International Institute for Applied Systems Analysis.
By Parul Tewari, IIASA Science Communication Fellow 2017
In 2016, Bolivia saw its worst drought in nearly 30 years. While the city of La Paz faced an acute water shortage with no piped water in some parts, the agricultural sector was hit the hardest. According to The Agricultural Chamber of the East, the region suffered a loss of almost 50% of total produce. Animal carcasses lay scattered in plain sight in the valleys, where they had died looking for watering holes.
Lake Poopo (Bolivia) before it dried up © David Almeida I Flickr
One of the most dramatic results of this catastrophic drought was that Lake Poopo, (pronounced po-po) Bolivia’s second largest lake was drained of every drop of water. Located at a height of approximately 1127 meters, and covering an area of 1,000 square kilometers, what remains of it now resembles a desert more than a lake. This event forced the fishing community of Uru Uru, which depended on the lake, to either migrate to other lakes or look for alternate livelihood options.
Lake Poopo is located in the central South American Altiplano, one of the largest high plateaus in the world (Bolivia’s largest lake, Titicaca, is located in the north of the region). Due to its unique topography, the highland faces extreme climatic conditions, which are responsible for difficult lives as well as widespread poverty among the people who live there.
While Titicaca is over 100 meters deep, Poopo had a depth of less than three meters. Combined with a high rate of evapotranspiration, erratic rainfall, and limited flow of water from the Desaguadero River, Poopo was in a precarious position even during the best of times. Whatever little water flowed in from the river is further depleted by intensive irrigation activities at the south of Lake Titicaca before the water makes it way down to Poopo.
Sattelite images of Lake Poopo
Changes in water levels of Lake Poopo over 30 years © U.S. Geological Survey, Associated Press
The lake’s existence had been threatened several times in the past. However, the 2016 drought was one of the most devastating ones. According to the Defense Ministry of Bolivia, early this year the lake started recovering after several days of heavy rain, restoring as much as 70% of the water. However, since the lake is a part of a very fragile ecosystem, there have been some irreversible changes to the flora and fauna in addition to the losses to the fishing communities living around the lake.
Charting a better future
Claudia Canedo, a participant of the 2017 Young Scientists Summer Program (YSSP) at IIASA, is exploring the impact of droughts and the risk on agricultural production in the light of this event, after which Bolivia declared a state of water emergency. Canedo was born and raised in the city of La Paz and experienced water shortages while growing up close to the Altiplano. This motivated her to investigate a sustainable solution for water availability in the region. With the results of her study she is hoping to ensure that such a situation doesn’t arise again in the Altiplano – that other communities directly dependent on ecosystem services, like that of Lake Poopo, do not have to lose everything because of an extreme weather event.
For a region where more than half the population is dependent on agriculture for their livelihoods, droughts serve as a major setback to the national economy. “It is not just one factor that led to the drought, though. There were different factors that contributed to the drying up of the lake and also contribute to the agricultural distress,” she says.
“The southern Altiplano lies in an arid zone and receives low precipitation due to its proximity to the Atacama Desert. Poor soil quality (high saline content and lack of nutrients) makes it unsuitable for most crops, except quinoa and potato in some areas,” adds Canedo. Residents also lack the knowledge and the monetary resources to invest in newer technology, which could possibly lead to better water management.
A woman from one of the drought affected communities in Bolivia © EU – Photo credits: EC/ECHO/Laurence Bardon I Flickr
One of the most critical factors in the recent drought was the El Nino- Southern Oscillation, the warming of the sea temperatures in the Pacific Ocean, which in turn carries the warmer oceanic winds and lowers the rate of precipitation in the highland leading to increased evapotranspiration. In 2015 and 2016, the losses due to this phenomenon were devastating for agriculture in the Altiplano, says Canedo.
In her quest to find solutions, the biggest challenge is the lack of recorded data from local weather stations for the past years. Although satellite data is available, it is too generic in nature to do a local analysis. Therefore combining ground and satellite data could enhance the present knowledge and provide consistent results of the climate and vegetation variability. If done successfully, Canedo hopes to identify a correlation between precipitation and vegetation. With this information, she can improve climate forecasting that could help the local people adapt to droughts powerful enough to turn their lives upside down.
With weather forecasts and early warning systems for extreme weather events like droughts, farmers would know what to expect and would be able to plant resilient varieties of crops. This might not earn them the same profits as in a normal year, but would not result in a failed crop. Claudia aims to come up with a drought index useful for drought monitoring and early warning, which will integrate short-term and long-term meteorological predictions.
Perhaps, in the future, with this newfound knowledge, the price for extreme weather events won’t be paid in terms of lost ecosystems like that of Lake Poopo, robbing people of their lives and livelihoods.
About the Researcher
Claudia Canedo is a participant in the 2017 IIASA YSSP. She is pursuing a doctoral program in water resources engineering at Lund University, Sweden. She is interested in studying the hydrological and climatological conditions over small basins in the South American highlands. The aim of her research is to define water resources availability and find strategies for sustainable water management in the semi-arid region.
This article gives the views of the author, and not the position of the Nexus blog, nor of the International Institute for Applied Systems Analysis.
Adil Najam is the inaugural dean of the Pardee School of Global Studies at Boston University and former vice chancellor of Lahore University of Management Sciences, Pakistan. He talks to Science Communication Fellow Parul Tewari about his time as a participant of the IIASA Young Scientists Summer Program (YSSP) and the global challenge of adaptation to climate change.
How has your experience as a YSSP fellow at IIASA impacted your career?
The most important thing my YSSP experience gave me was a real and deep appreciation for interdisciplinarity. The realization that the great challenges of our time lie at the intersection of multiple disciplines. And without a real respect for multiple disciplines we will simply not be able to act effectively on them.
Prof. Adil Najam speaking at the Deutsche Welle Building in Bonn, Germany in 2010 © Erich Habich I en.wikipedia
Recently at the 40th anniversary of the YSSP program you spoke about ‘The age of adaptation’. Globally there is still a lot more focus on mitigation. Why is this?
Living in the “Age of Adaption” does not mean that mitigation is no longer important. It is as, and more, important than ever. But now, we also have to contend with adaptation. Adaptation, after all, is the failure of mitigation. We got to the age of adaptation because we failed to mitigate enough or in time. The less we mitigate now and in the future, the more we will have to adapt, possibly at levels where adaptation may no longer even be possible. Adaption is nearly always more difficult than mitigation; and will ultimately be far more expensive. And at some level it could become impossible.
How do you think can adaptation be brought into the mainstream in environmental/climate change discourse?
Climate discussions are primarily held in the language of carbon. However, adaptation requires us to think outside “carbon management.” The “currency” of adaptation is multivaried: its disease, its poverty, its food, its ecosystems, and maybe most importantly, its water. In fact, I have argued that water is to adaptation, what carbon is to mitigation.
To honestly think about adaptation we will have to confront the fact that adaptation is fundamentally about development. This is unfamiliar—and sometimes uncomfortable—territory for many climate analysts. I do not believe that there is any way that we can honestly deal with the issue of climate adaptation without putting development, especially including issues of climate justice, squarely at the center of the climate debate.
COP 22 (Conference of Parties) was termed as the “COP of Action” where “financing” was one of the critical aspects of both mitigation and adaptation. However, there has not been much progress. Why is this?
Unfortunately, the climate negotiation exercise has become routine. While there are occasional moments of excitement, such as at Paris, the general negotiation process has become entirely predictable, even boring. We come together every year to repeat the same arguments to the same people and then arrive at the same conclusions. We make the same promises each year, knowing that we have little or no intention of keeping them. Maybe I am being too cynical. But I am convinced that if there is to be any ‘action,’ it will come from outside the COPs. From citizen action. From business innovation. From municipalities. And most importantly from future generations who are now condemned to live with the consequences of our decision not to act in time.
© Piyaset I Shutterstock
What is your greatest fear for our planet, in the near future, if we remain as indecisive in the climate negotiations as we are today?
My biggest fear is that we will—or maybe already have—become parochial in our approach to this global challenge. That by choosing not to act in time or at the scale needed, we have condemned some of the poorest communities in the world—the already marginalized and vulnerable—to pay for the sins of our climatic excess. The fear used to be that those who have contributed the least to the problem will end up facing the worst climatic impacts. That, unfortunately, is now the reality.
What message would you like to give to the current generation of YSSPers?
Be bold in the questions you ask and the answers you seek. Never allow yourself—or anyone else—to rein in your intellectual ambition. Now is the time to think big. Because the challenges we face are gigantic.
Note: This article gives the views of the interviewee, and not the position of the Nexus blog, nor of the International Institute for Applied Systems Analysis.