Academic literature on the topic 'Realm of ends'

In the second section of the Groundwork for the Metaphysics of Morals, Kant introduces the concept of an end in itself and defines it as something whose existence has an absolute value. He continues with the assertion that the ground of a possible categorical imperative lies solely in this end in itself. Now Kant, in his remarks on the realm of ends, also operates with the notions of an end in itself and absolute value — seemingly in a different way, however. Thus, in the remarks on the realm of ends, the rational being becomes an end in itself through its real moral willing and acting, both of which presuppose the validity of the categorical imperative. Basically, the difference in the ways of using the concepts of absolute value and an end in itself consists in the fact that in the first case both serve as precondition for the categorical imperative’s validity, whereas in the passages concerning the realm of ends both are a consequence of its validity. At first glance we therefore must register an inconsistent use of both terms. In what follows, I aim to show that the assumption of such a putative inconsistency expresses a misleading understanding of the internal structure of the end in itself rather than a real problem in Kant’s way of arguing. The present study tries to solve this supposed problem of inconsistency by sketching a more appropriate understanding of the internal structure of the end in itself.

In the Groundwork of the Metaphysic of Morals' Kant is explicit, sometimes to the point of peevishness, in denying anthropology and psychology any part or place in his moral science. Recognizing that this will strike many as counterintuitive he is unrepentant: ‘We require no skill to make ourselves intelligible to the multitude once we renounce all profundity of thought’. That the doctrine to be defended is not exemplified in daily experience or even in imaginable encounters is necessitated by the very nature of morality which cannot be served worse ‘… than by seeking to derive it from examples’. Thus, the project of the moral philosopher begins with the recognition that the moral realm is not mapped by anthropological data and does not get its content therefrom. Rather, moral philosophy must be ‘completely cleansed’ of everything that is appropriate to anthropology:

Technology is always limited to the realm of means, while morality is supposed to deal with ends. In this theoretical article about comparing those two regimes of enunciation, it is argued that technology is on the contrary characterized by the `ends of means' that is the impossibility of being limited to tools; technical artefacts are never tools if what is meant by this is a transmission of function in a mastered way. Once this modification of the meaning of technology is accepted, then it is possible to relate technology, in a totally different way, to morality which is not about values, but about the exploration of ends.

Studies of rare and common illnesses have led to remarkable progress in the understanding of the role of telomeres (nucleoprotein complexes at chromosome ends essential for chromosomal integrity) in human disease. Telomere biology disorders encompass a growing spectrum of conditions caused by rare pathogenic germline variants in genes encoding essential aspects of telomere function. Dyskeratosis congenita, a disorder at the severe end of this spectrum, typically presents in childhood with the classic triad of abnormal skin pigmentation, nail dystrophy, and oral leukoplakia, accompanied by a very high risk of bone marrow failure, cancer, pulmonary fibrosis, and other medical problems. In contrast, the less severe end of the telomere biology disorder spectrum consists of middle-age or older adults with just one feature typically seen in dyskeratosis congenita, such as pulmonary fibrosis or bone marrow failure. In the common disease realm, large-scale molecular epidemiology studies have discovered novel associations between illnesses, such as cancer, heart disease, and mental health, and both telomere length and common genetic variants in telomere biology genes. This review highlights recent findings of telomere biology in human disease from both the rare and common disease perspectives. Multi-disciplinary collaborations between clinicians, basic scientists, and epidemiologist are essential as we seek to incorporate new telomere biology discoveries to improve health outcomes.

The main source of methodological dead ends in science is the rigidity of its key theoretical construct determined by the accepted methodology. Such rigidity hinders the natural development of science that spreads it competencies to new unknown spheres of reality. Any attempts to apply a common concept to reality invariably come across its variety. The science resolves contradictions between the general and the specific by finding intermediary links between them. In all situations when a common concept is problematic, methodology plays the part of a high point that makes it possible to observe all shifts in the contradiction between the essence and the phenomenon. Criminology is based on the hypothesis of a society that generates crime. The contents of this society include the whole aggregate of public circumstances that have a criminological significance. Russian criminological mainstream views criminogenic circumstances as those in the sphere of socially negative public relations. The use of the criterion of socially negative relations to identify criminologically relevant public circumstances is the key obstacle for the criminological research in many directions. A true challenge for such research is explaining the nature of economic, corruption and information crimes. Their basics form public relations that are, for the most part, in the realm of the criminological unknown. Hence, it is problematic to produce well-founded recommendations on the development and implementation of a crime suppression policy. In the process of research, the authors determined that criminologically relevant circumstances may, in principle, belong to any of the possible aspects of analyzing the social environment. To prevent the general scheme aimed at identifying criminogenic circumstances from being stuck in the close and the immediate, it is necessary, first of all, to take into consideration a growing significance of independent actions of the community in its interaction with the state when determining the boundaries of the socially negative phenomena. Secondly, it is suggested that local social systems should be used as an intermediary link between the general scheme and specific local social interactions for representing the process of forming criminogenic circumstances in it entirety, in the interconnection of positive, negative and «grey» interactions.

Abstract In his latest monograph, The Realm of Criminal Law, Antony Duff gives us a further, magisterial statement of the vision of criminal law, its procedural framework, and its sanctioning system, which he has been developing over the past 35 years. This is Duff’s own book-length contribution to the tremendously fruitful collaborative Criminalization project. That project has already generated four edited volumes (Duff et al. in The boundaries of the criminal law, 2010; The structures of the criminal law, 2011; The constitution of the criminal law, 2013; Criminalization: the political morality of the criminal law, 2014) and two fine monographs by Farmer (Making the modern criminal law: criminalization and civil order, 2016) and Tadros (Wrongs and crimes, 2016; see also Tadros in The ends of harm: the moral foundations of criminal law, 2011). It will shape the field for decades to come; and it has decisively laid to rest a longstanding puzzle about why, within criminal law theory, the principles underlying criminalisation had received relatively little attention as compared with those underlying, most obviously, criminal responsibility (cf. Lacey in Frontiers of criminality, 1995).

Autonomy and ethics are related to each other in complex ways. The paper starts by distinguishing and characterizing three basic dimensions of this relation. It proceeds by arguing for the compatibility of moral realism with a due respect for human autonomy. Nevertheless, supernaturalist moral realism seems to pose a special challenge for the autonomy of ethics as a self-standing normative realm. The paper ends with some considerations on the role of divine authority both in metaethics and in the general theory of value.

AbstractTheodor W. Adorno often made reference to Immanuel Kant’s famous essay on enlightenment. Although he denied that immaturity is self-incurred, the first section of this article will show that he adopted many of Kant’s ideas about maturity in his philosophically informed critique of monopoly conditions under late capitalism. The second section will explore Adorno’s claim that the educational system could foster maturity by encouraging critical reflection on the social conditions that have made us what we are. Finally, this article will demonstrate that Adorno links enlightenment to Kant’s idea of a realm of ends.

The way we understand community fundamentally structures the way we approach justice. In opposition to totalizing structures of justice founded upon an ontological conception of community, Emmanuel Levinas conceives the possibility of a political or social structure of difference. I argue that the conceptions of community presented by Kant and Heidegger, either as a harmonious, unified being in common, or as a common-identity disclosed beneath the ontological horizon of being-with, necessarily leads to violence. This violence is reflected in the forms of justice instantiated by these philosophies, which privilege the ‘light’ of the universal over the particularity of individuals in the face-to-face encounter, ultimately corrupting and nullifying one’s anarchic moral responsibility for the Other. The intent of this thesis is to argue that justice can only remain just if it is seen, not on the basis of a communal ‘light’ that absorbs, integrates, and incorporates the Other as an element of a system, but as founded on the anarchic responsibility of the one-for-the-Other. Justice, I will show, cannot be seen as an aim of a community—complete and self-sufficient—in achieving an end, but as a rupture, a disturbance, as a call made among a multitude of particular, unique Others by which ethics (the face-to-face) is fundamental.<br>B.A.<br>Bachelors<br>Philosophy<br>Arts and Humanities

ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California<br>The integrated Network-Enhanced Telemetry (iNET) project has developed standards for network-based telemetry systems. While these standards are based largely on the existing body of commercial networking protocols, the Telemetry Network System (TmNS) has more stringent performance requirements in the areas of latency, throughput, operation over constrained links, and quality of service (QoS) than typical networked applications. A variety of initial evaluations were undertaken to exercise the interfaces of the current standards and determine real-world performance. The core end-to-end performance initial evaluations focus collectively on the movement of telemetry data through the TmNS. These initial evaluations addressed two areas: end-to-end data delivery and parametric data extraction. This paper presents the approach taken by these ongoing efforts and provides initial results. The latest results will be presented at ITC 2010.

In the thesis the design of process tolerant, use-aware radio-frequency front-ends were explored. First, the design of fuzzy logic and equation based controllers, which can adapt to multi-dimensional channel conditions, are proposed. Secondly, the thesis proves that adaptive systems can have multiple modes of operation depending upon the throughput requirements of the system. Two such modes were demonstrated: one optimizing the energy-per-bit (energy priority mode) and another achieving the lowest power consumption at the highest throughput (data priority mode). Finally, to achieve process tolerant channel adaptive operation a self-learning methodology is proposed which learns the optimal re-configuration setting for the system on-the-fly. Implications of the research are discussed and future avenues of further research are proposed.

This thesis explores Wave, a brand new communication and collaboration platform, from the perspective of end user service composition. A description of the different frameworks that are available and a study of how these can be used to create components that can be easily integrated with the platform are provided. Several examples of how the platform can be used to simplify different use cases involving multiple users collaborating on a common goal are provided. A complete solution to collaboratively organize meetings is also developed using these tools, and a detailed explanation of how one creates the necessary Wave Gadgets using web technologies like HTML, CSS and JavaScript, and the necessary back-end Wave Robots using Java are provided.

In this master thesis project a LiDAR-based, depth image-based and semantic segmentation image-based reinforcement learning agent is investigated and compared forlearning in simulation and performing in real-time. The project utilize the Deep Deterministic Policy Gradient architecture for learning continuous actions and was designed to control a RC car. One of the first project to deploy an agent in a real scenario after training in a similar simulation. The project demonstrated that with a proper reward function and by tuning driving parameters such as restricting steering, maximum velocity, minimum velocity and performing input data scaling a LiDAR-based agent could drive indefinitely on a simple but completely unseen track in real-time.

This study is focused on real estate funds formed in Germany and has two major purposes: first to investigate the liquidity crisis and followed change of the legal framework for German real estate funds and secondly to demonstrate the impact on investment selection criteria of German real estate investment companies . By both quantitative and qualitative methods the thesis approaches those two different purposes. The quantitative part provides theoretical background about the construct of open-end and closed-end real estate funds and about the triggers and effects of the liquidity crisis. The qualitative part consists of an online survey that was sent to German real estate investment companies in which respondents indicated their preferred criteria for real estate investment opportunities. Furthermore telephone interviews on this topic were conducted with four German real estate investment experts. In the end the findings from the survey and the interviews are applied to a case study about a trophy asset in Luxembourg, in order to analyze if this property meets the investment criteria of German real estate funds. The survey and the conducted interviews indicate that German real estate investment companies have adapted to the risk-averse investment behaviour of investors and preferably make safe haven investments in terms of the investment style, the location of the real estate asset and the characteristics of the property itself and its tenants. The case study as well confirms this result.

Quality of Service (QoS) in real-time media applications can be defined as the ability to guarantee the delivery of packets from source to destination over best-effort networks within some constraints. These constraints defined as the QoS metrics are end-to-end packet delay, delay jitter, throughtput, and packet losses. Transporting real-time media applications over best-effort networks, e.g. the Internet, is an area of current research. Both the Transmission Control Protocol (TCP) and the User Datagram Protocol (UDP) have failed to provide the desired QoS. This research aims at developing application-level end-to-end QoS controls to improve the user-perceived quality of real-time media applications over best-effort networks, such as, the public Internet. In this research an end-to-end packet based approach is developed. The end-to- end packet based approach consists of source buffer, network simulator ns-2, destina- tion buffer, and controller. Unconstrained model predictive control (MPC) methods are implemented by the controller at the application layer. The end-to-end packet based approach uses end-to-end network measurements and predictions as feedback signals. Effectiveness of the developed control methods are examined using Matlab and ns-2. The results demonstrate that sender-based control schemes utilizing UDP at transport layer are effective in providing QoS for real-time media applications transported over best-effort networks. Significant improvements in providing QoS are visible by the reduction of packet losses and the elimination of disruptions during the playback of real-time media. This is accompanied by either a decrease or increase in the playback start-time.

ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV<br>With the advent of networked based data acquisition systems comes the opportunity to acquire, transmit and store potentially very large volumes of data. Despite this, and the increased size of the data acquisition networks, the use of tightly integrated hardware, and setup and analysis software enable the FTI engineer to save time and increase productivity. This paper outlines how the use of innovative bus packetizer technology and the close integration of FTI software can simplify this process. The paper describes how packetizer technology is used to acquire data from avionics buses, and how it packages this data in a format that is optimized for network based systems. The paper further describes how software can simplify the process of configuring avionics bus monitors in addition to automating and optimizing the transport of data from various nodes in the acquisition network for transmission to either network recorders or via a telemetry link.

Målen med denna studie är att implementera en testmiljö för streaming telemetry samt jämföra två alternativ för att möjliggöra realtidsanalys av det insamlade datat. Dessa två alternativ är Python-biblioteken PyKafka och Confluent-Kafka-Python. Bedömningskritierna för jämförselsen var dokumentation, kodmängd och minnesanvändning. Testmiljön för streaming telemetry använder en router med Cisco IOS XR programvara som skickar data till en Cisco Pipeline collector, som vidare sänder datat till ett Kafka-kluster. Jämförelsen av Python-biblioteken utfördes med språket Python. Resultaten av jämförelsen visade att båda biblioteken hade välskriven dokumentation och liten skillnad i kodmängd, dock använde Confluent-Kafka-Python mindre minne. Studien visar att streaming telemetry med realtidsanalys kan fungera bra som ett komplement till eller en ersättning av SNMP. Studien rekommenderar användning av Confluent-Kafka-Python för implementering i produktionsmiljöer med ett stort antal nätverksenheter med tanke på den lägre minnesanvändningen.<br>The goals of this study are to implement a test environment for streaming telemetry and compare two alternatives for analysing the collected data in realtime. The two alternatives are the Python libraries PyKafka and Confluent-Kafka-Python. The comparison focused mainly on three areas, these being documentation, amount of code and memory usage. The test environment for streaming telemetry was set up with a router running IOS XR software that is sending data to a Cisco Pipeline collector, which in turn sends data to a Kafka-cluster. The comparison of the two libraries for interfacing with the cluster was made with the language Python. The results of the comparison showed that both libraries had well-written documentation and showed a negligible difference in amount of code. The memory usage was considerably lower with the Confluent-Kafka-Python library. The study shows that streaming telemetry together with real-time analysis makes a good complement to or a replacement of SNMP. The study further recommends the use of Confluent-Kafka-Python in real-world implementations of streaming telemetry, particularly in large networks with a large amount of devices.

Detecting extraneous matter that deposits on a compliant receiver platform can be performed by means of the resonance shift method, whereby the original and altered natural frequencies of the host structure are compared to evaluate the amount and/or position of the attached matter. By scaling structural dimensions down to the nanometer range, it becomes possible to discern quantities in the molecular realm. One simple and convenient structural detector is the cantilever, whose out-of-the-plane resonant vibrations can be excited/monitored with relative ease. The proposed paper studies a few aspects of the mass attachment detection through monitoring of the natural frequency change of cantilevers, by focusing on the two ends of the dimensional spectrum: the macro- and nano-scale domains. The paper develops an analytical model that enables predicting the mass of attached matter in case its location is point-like and pre-specified. At nano-scale, locating mass attachment is realized through adequate surface functionalizing, while at macro-scale a displacement sensor can be placed conveniently on the compliant structure. The model accommodates cantilever configurations formed of several single-profile segments that are serially connected. Of all possible combinations, the two-segment, circularly-notched design is explicitly studied. Finite element simulation is utilized to check the analytical model validity. The bending natural frequencies of several macro-scale and nano-scale circularly-notched cantilever specimens have been investigated experimentally. Based on the agreement between analytical, numerical and experimental data, the analytical model was further utilized to study the relationships between geometric parameters, deposited mass, mass attachment position and the change in the bending resonant frequency.

Many governments and companies are adopting net zero climate targets as they recognize the urgency of the climate crisis. Without clear definition, however, these targets risk being reliant on using vast swathes of land in low-income countries to capture carbon emissions, allowing the biggest emitters to avoid making significant cuts in their own emissions. ‘Net zero’ could end up being a dangerous distraction that could delay the rapid reductions in emissions that high-emitting countries and companies need to make if we are to avoid catastrophic climate breakdown. It could also lead to an explosion in demand for land which, if not subject to careful safeguards, might risk increasing hunger and fuelling land inequality. Net zero should be a pathway to real and transformative climate action and not greenwash. Carbon emissions need to be reduced now, and land-based climate solutions must centre ‘food-first’ approaches that help achieve both zero emissions and zero hunger.

1.1 Macroeconomic summary Economic recovery has consistently outperformed the technical staff’s expectations following a steep decline in activity in the second quarter of 2020. At the same time, total and core inflation rates have fallen and remain at low levels, suggesting that a significant element of the reactivation of Colombia’s economy has been related to recovery in potential GDP. This would support the technical staff’s diagnosis of weak aggregate demand and ample excess capacity. The most recently available data on 2020 growth suggests a contraction in economic activity of 6.8%, lower than estimates from January’s Monetary Policy Report (-7.2%). High-frequency indicators suggest that economic performance was significantly more dynamic than expected in January, despite mobility restrictions and quarantine measures. This has also come amid declines in total and core inflation, the latter of which was below January projections if controlling for certain relative price changes. This suggests that the unexpected strength of recent growth contains elements of demand, and that excess capacity, while significant, could be lower than previously estimated. Nevertheless, uncertainty over the measurement of excess capacity continues to be unusually high and marked both by variations in the way different economic sectors and spending components have been affected by the pandemic, and by uneven price behavior. The size of excess capacity, and in particular the evolution of the pandemic in forthcoming quarters, constitute substantial risks to the macroeconomic forecast presented in this report. Despite the unexpected strength of the recovery, the technical staff continues to project ample excess capacity that is expected to remain on the forecast horizon, alongside core inflation that will likely remain below the target. Domestic demand remains below 2019 levels amid unusually significant uncertainty over the size of excess capacity in the economy. High national unemployment (14.6% for February 2021) reflects a loose labor market, while observed total and core inflation continue to be below 2%. Inflationary pressures from the exchange rate are expected to continue to be low, with relatively little pass-through on inflation. This would be compatible with a negative output gap. Excess productive capacity and the expectation of core inflation below the 3% target on the forecast horizon provide a basis for an expansive monetary policy posture. The technical staff’s assessment of certain shocks and their expected effects on the economy, as well as the presence of several sources of uncertainty and related assumptions about their potential macroeconomic impacts, remain a feature of this report. The coronavirus pandemic, in particular, continues to affect the public health environment, and the reopening of Colombia’s economy remains incomplete. The technical staff’s assessment is that the COVID-19 shock has affected both aggregate demand and supply, but that the impact on demand has been deeper and more persistent. Given this persistence, the central forecast accounts for a gradual tightening of the output gap in the absence of new waves of contagion, and as vaccination campaigns progress. The central forecast continues to include an expected increase of total and core inflation rates in the second quarter of 2021, alongside the lapse of the temporary price relief measures put in place in 2020. Additional COVID-19 outbreaks (of uncertain duration and intensity) represent a significant risk factor that could affect these projections. Additionally, the forecast continues to include an upward trend in sovereign risk premiums, reflected by higher levels of public debt that in the wake of the pandemic are likely to persist on the forecast horizon, even in the context of a fiscal adjustment. At the same time, the projection accounts for the shortterm effects on private domestic demand from a fiscal adjustment along the lines of the one currently being proposed by the national government. This would be compatible with a gradual recovery of private domestic demand in 2022. The size and characteristics of the fiscal adjustment that is ultimately implemented, as well as the corresponding market response, represent another source of forecast uncertainty. Newly available information offers evidence of the potential for significant changes to the macroeconomic scenario, though without altering the general diagnosis described above. The most recent data on inflation, growth, fiscal policy, and international financial conditions suggests a more dynamic economy than previously expected. However, a third wave of the pandemic has delayed the re-opening of Colombia’s economy and brought with it a deceleration in economic activity. Detailed descriptions of these considerations and subsequent changes to the macroeconomic forecast are presented below. The expected annual decline in GDP (-0.3%) in the first quarter of 2021 appears to have been less pronounced than projected in January (-4.8%). Partial closures in January to address a second wave of COVID-19 appear to have had a less significant negative impact on the economy than previously estimated. This is reflected in figures related to mobility, energy demand, industry and retail sales, foreign trade, commercial transactions from selected banks, and the national statistics agency’s (DANE) economic tracking indicator (ISE). Output is now expected to have declined annually in the first quarter by 0.3%. Private consumption likely continued to recover, registering levels somewhat above those from the previous year, while public consumption likely increased significantly. While a recovery in investment in both housing and in other buildings and structures is expected, overall investment levels in this case likely continued to be low, and gross fixed capital formation is expected to continue to show significant annual declines. Imports likely recovered to again outpace exports, though both are expected to register significant annual declines. Economic activity that outpaced projections, an increase in oil prices and other export products, and an expected increase in public spending this year account for the upward revision to the 2021 growth forecast (from 4.6% with a range between 2% and 6% in January, to 6.0% with a range between 3% and 7% in April). As a result, the output gap is expected to be smaller and to tighten more rapidly than projected in the previous report, though it is still expected to remain in negative territory on the forecast horizon. Wide forecast intervals reflect the fact that the future evolution of the COVID-19 pandemic remains a significant source of uncertainty on these projections. The delay in the recovery of economic activity as a result of the resurgence of COVID-19 in the first quarter appears to have been less significant than projected in the January report. The central forecast scenario expects this improved performance to continue in 2021 alongside increased consumer and business confidence. Low real interest rates and an active credit supply would also support this dynamic, and the overall conditions would be expected to spur a recovery in consumption and investment. Increased growth in public spending and public works based on the national government’s spending plan (Plan Financiero del Gobierno) are other factors to consider. Additionally, an expected recovery in global demand and higher projected prices for oil and coffee would further contribute to improved external revenues and would favor investment, in particular in the oil sector. Given the above, the technical staff’s 2021 growth forecast has been revised upward from 4.6% in January (range from 2% to 6%) to 6.0% in April (range from 3% to 7%). These projections account for the potential for the third wave of COVID-19 to have a larger and more persistent effect on the economy than the previous wave, while also supposing that there will not be any additional significant waves of the pandemic and that mobility restrictions will be relaxed as a result. Economic growth in 2022 is expected to be 3%, with a range between 1% and 5%. This figure would be lower than projected in the January report (3.6% with a range between 2% and 6%), due to a higher base of comparison given the upward revision to expected GDP in 2021. This forecast also takes into account the likely effects on private demand of a fiscal adjustment of the size currently being proposed by the national government, and which would come into effect in 2022. Excess in productive capacity is now expected to be lower than estimated in January but continues to be significant and affected by high levels of uncertainty, as reflected in the wide forecast intervals. The possibility of new waves of the virus (of uncertain intensity and duration) represents a significant downward risk to projected GDP growth, and is signaled by the lower limits of the ranges provided in this report. Inflation (1.51%) and inflation excluding food and regulated items (0.94%) declined in March compared to December, continuing below the 3% target. The decline in inflation in this period was below projections, explained in large part by unanticipated increases in the costs of certain foods (3.92%) and regulated items (1.52%). An increase in international food and shipping prices, increased foreign demand for beef, and specific upward pressures on perishable food supplies appear to explain a lower-than-expected deceleration in the consumer price index (CPI) for foods. An unexpected increase in regulated items prices came amid unanticipated increases in international fuel prices, on some utilities rates, and for regulated education prices. The decline in annual inflation excluding food and regulated items between December and March was in line with projections from January, though this included downward pressure from a significant reduction in telecommunications rates due to the imminent entry of a new operator. When controlling for the effects of this relative price change, inflation excluding food and regulated items exceeds levels forecast in the previous report. Within this indicator of core inflation, the CPI for goods (1.05%) accelerated due to a reversion of the effects of the VAT-free day in November, which was largely accounted for in February, and possibly by the transmission of a recent depreciation of the peso on domestic prices for certain items (electric and household appliances). For their part, services prices decelerated and showed the lowest rate of annual growth (0.89%) among the large consumer baskets in the CPI. Within the services basket, the annual change in rental prices continued to decline, while those services that continue to experience the most significant restrictions on returning to normal operations (tourism, cinemas, nightlife, etc.) continued to register significant price declines. As previously mentioned, telephone rates also fell significantly due to increased competition in the market. Total inflation is expected to continue to be affected by ample excesses in productive capacity for the remainder of 2021 and 2022, though less so than projected in January. As a result, convergence to the inflation target is now expected to be somewhat faster than estimated in the previous report, assuming the absence of significant additional outbreaks of COVID-19. The technical staff’s year-end inflation projections for 2021 and 2022 have increased, suggesting figures around 3% due largely to variation in food and regulated items prices. The projection for inflation excluding food and regulated items also increased, but remains below 3%. Price relief measures on indirect taxes implemented in 2020 are expected to lapse in the second quarter of 2021, generating a one-off effect on prices and temporarily affecting inflation excluding food and regulated items. However, indexation to low levels of past inflation, weak demand, and ample excess productive capacity are expected to keep core inflation below the target, near 2.3% at the end of 2021 (previously 2.1%). The reversion in 2021 of the effects of some price relief measures on utility rates from 2020 should lead to an increase in the CPI for regulated items in the second half of this year. Annual price changes are now expected to be higher than estimated in the January report due to an increased expected path for fuel prices and unanticipated increases in regulated education prices. The projection for the CPI for foods has increased compared to the previous report, taking into account certain factors that were not anticipated in January (a less favorable agricultural cycle, increased pressure from international prices, and transport costs). Given the above, year-end annual inflation for 2021 and 2022 is now expected to be 3% and 2.8%, respectively, which would be above projections from January (2.3% and 2,7%). For its part, expected inflation based on analyst surveys suggests year-end inflation in 2021 and 2022 of 2.8% and 3.1%, respectively. There remains significant uncertainty surrounding the inflation forecasts included in this report due to several factors: 1) the evolution of the pandemic; 2) the difficulty in evaluating the size and persistence of excess productive capacity; 3) the timing and manner in which price relief measures will lapse; and 4) the future behavior of food prices. Projected 2021 growth in foreign demand (4.4% to 5.2%) and the supposed average oil price (USD 53 to USD 61 per Brent benchmark barrel) were both revised upward. An increase in long-term international interest rates has been reflected in a depreciation of the peso and could result in relatively tighter external financial conditions for emerging market economies, including Colombia. Average growth among Colombia’s trade partners was greater than expected in the fourth quarter of 2020. This, together with a sizable fiscal stimulus approved in the United States and the onset of a massive global vaccination campaign, largely explains the projected increase in foreign demand growth in 2021. The resilience of the goods market in the face of global crisis and an expected normalization in international trade are additional factors. These considerations and the expected continuation of a gradual reduction of mobility restrictions abroad suggest that Colombia’s trade partners could grow on average by 5.2% in 2021 and around 3.4% in 2022. The improved prospects for global economic growth have led to an increase in current and expected oil prices. Production interruptions due to a heavy winter, reduced inventories, and increased supply restrictions instituted by producing countries have also contributed to the increase. Meanwhile, market forecasts and recent Federal Reserve pronouncements suggest that the benchmark interest rate in the U.S. will remain stable for the next two years. Nevertheless, a significant increase in public spending in the country has fostered expectations for greater growth and inflation, as well as increased uncertainty over the moment in which a normalization of monetary policy might begin. This has been reflected in an increase in long-term interest rates. In this context, emerging market economies in the region, including Colombia, have registered increases in sovereign risk premiums and long-term domestic interest rates, and a depreciation of local currencies against the dollar. Recent outbreaks of COVID-19 in several of these economies; limits on vaccine supply and the slow pace of immunization campaigns in some countries; a significant increase in public debt; and tensions between the United States and China, among other factors, all add to a high level of uncertainty surrounding interest rate spreads, external financing conditions, and the future performance of risk premiums. The impact that this environment could have on the exchange rate and on domestic financing conditions represent risks to the macroeconomic and monetary policy forecasts. Domestic financial conditions continue to favor recovery in economic activity. The transmission of reductions to the policy interest rate on credit rates has been significant. The banking portfolio continues to recover amid circumstances that have affected both the supply and demand for loans, and in which some credit risks have materialized. Preferential and ordinary commercial interest rates have fallen to a similar degree as the benchmark interest rate. As is generally the case, this transmission has come at a slower pace for consumer credit rates, and has been further delayed in the case of mortgage rates. Commercial credit levels stabilized above pre-pandemic levels in March, following an increase resulting from significant liquidity requirements for businesses in the second quarter of 2020. The consumer credit portfolio continued to recover and has now surpassed February 2020 levels, though overall growth in the portfolio remains low. At the same time, portfolio projections and default indicators have increased, and credit establishment earnings have come down. Despite this, credit disbursements continue to recover and solvency indicators remain well above regulatory minimums. 1.2 Monetary policy decision In its meetings in March and April the BDBR left the benchmark interest rate unchanged at 1.75%.

In central Rakhine State, Myanmar, 130,000 displaced Rohingya and Kaman people have been confined to camps for more than eight years. Without access to basics such as adequate education and healthcare services and largely unable to leave the camps, these communities urgently need real solutions that will support their rights and dignity. The Myanmar government has also recognized the importance of bringing an end to these camps and has taken some steps in this direction. This report explores the current policy commitments made by the Government of Myanmar in relation to durable solutions for displaced Rohingya in Rakhine State. It then focuses on findings from extensive discussions with displaced Rohingya people, particularly women, regarding their priorities for an end to their displacement and opportunities for a better future. The IDPs consistently pointed to the importance of being consulted and engaged as part of any process aimed at closing the camps, of having their rights recognized, particularly in relation to freedom of movement, and of being afforded choice in terms of possible return to their places of origin or another place of their choosing.

Total global oil demand is expected to increase year-on-year (YoY) by 4.2 million barrels per day (MMb/d) in 2021 and further grow by 3.5 MMb/d in 2022, returning to 2019 levels by the third quarter (Q3) 2022. The International Monetary Fund (IMF) predicts economic growth of around 5.4% in 2021, compared with a decline in real gross domestic product (GDP) in 2020 of -4.4%. However, KOMO estimates a forecast more in line with the OECD’s outlook for growth (4.2%), which presumes that GDP levels will only reach 2019 levels by the end of 2021.

Macroeconomic Summary Overall inflation (1.61%) and core inflation (excluding food and regulated items) (1.11%) both declined beyond the technical staff’s expectations in the fourth quarter of 2020. Year-end 2021 forecasts for both indicators were revised downward to 2.3% and 2.1%, respectively. Market inflation expectations also fell over this period and suggested inflation below the 3% target through the end of this year, rising to the target in 2022. Downward pressure on inflation was more significant in the fourth quarter than previously projected, indicating weak demand. Annual deceleration among the main groups of the consumer price index (CPI) was generalized and, except for foods, was greater than projected in the October report. The CPI for goods (excluding foods and regulated items) and the CPI for regulated items were subject to the largest decelerations and forecasting discrepancies. In the first case, this was due in part to a greater-than-expected effect on prices from the government’s “VAT-fee day” amid weak demand, and from the extension of some price relief measures. For regulated items, the deceleration was caused in part by unanticipated declines in some utility prices. Annual change in the CPI for services continued to decline as a result of the performance of those services that were not subject to price relief measures, in particular. Although some of the overall decline in inflation is expected to be temporary and reverse course in the second quarter of 2021, various sources of downward pressure on inflation have become more acute and will likely remain into next year. These include ample excesses in capacity, as suggested by the continued and greater-than-expected deceleration in core inflation indicators and in the CPI for services excluding price relief measures. This dynamic is also suggested by the minimal transmission of accumulated depreciation of the peso on domestic prices. Although excess capacity should fall in 2021, the decline will likely be slower than projected in the October report amid additional restrictions on mobility due to a recent acceleration of growth in COVID-19 cases. An additional factor is that low inflation registered at the end of 2020 will likely be reflected in low price adjustments on certain indexed services with significant weight in the CPI, including real estate rentals and some utilities. These factors should keep inflation below the target and lower than estimates from the previous report on the forecast horizon. Inflation is expected to continue to decline to levels near 1% in March, later increasing to 2.3% at the end of 2021 and 2.7% at year-end 2022 (Graph 1.1). According to the Bank’s most recent survey, market analysts expect inflation of 2.7% and 3.1% in December 2021 and 2022, respectively. Expected inflation derived from government bonds was 2% for year-end 2021, while expected inflation based on bonds one year forward from that date (FBEI 1-1 2022) was 3.2%.

This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&amp;D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&amp;D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&amp;D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&amp;D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.